diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 53581af..c1cc911 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -39,7 +39,7 @@ jobs:
- name: Install uv
uses: astral-sh/setup-uv@v3
with:
- version: "0.4.22"
+ version: "0.5.*"
enable-cache: true
- name: Set up Python ${{ matrix.python-version }}
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
new file mode 100644
index 0000000..090993c
--- /dev/null
+++ b/.github/workflows/docs.yml
@@ -0,0 +1,207 @@
+name: Documentation
+on:
+ push:
+ branches:
+ - develop
+ tags:
+ - 'v*'
+ pull_request:
+ types: [opened, synchronize, reopened, closed]
+
+permissions:
+ contents: write
+ pull-requests: write
+
+jobs:
+ # Job for versioned deployments (runs on develop branch and tags)
+ deploy-versions:
+ if: github.event_name == 'push' && (github.ref == 'refs/heads/develop' || startsWith(github.ref, 'refs/tags/v'))
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ with:
+ fetch-depth: 0 # Important for mike to work with tags
+
+ - uses: astral-sh/setup-uv@v3
+ with:
+ version: "0.5.*"
+ enable-cache: true
+ - name: Sync
+ run: |
+ uv sync --locked
+ git restore uv.lock
+
+ - name: Configure Git
+ run: |
+ git config --local user.name "GitHub Actions"
+ git config --local user.email "actions@github.com"
+
+ - name: Deploy docs
+ run: |
+ if [[ $GITHUB_REF == refs/tags/* ]]; then
+ # For tags, deploy the tagged version
+ VERSION=${GITHUB_REF#refs/tags/v}
+ uv run mike deploy --push $VERSION
+
+ # If this is the latest version, update the 'latest' alias
+ LATEST_TAG=$(git tag --sort=-creatordate | head -n 1)
+ if [[ "v$VERSION" == "$LATEST_TAG" ]]; then
+ uv run mike alias --push $VERSION latest
+ uv run mike set-default --push latest
+ fi
+ else
+ # For develop branch, deploy to 'dev'
+ uv run mike deploy --push --update-aliases dev
+ fi
+
+ # Job for PR previews
+ preview:
+ if: github.event_name == 'pull_request'
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - uses: astral-sh/setup-uv@v3
+ with:
+ version: "0.5.*"
+ enable-cache: true
+ - name: Sync
+ run: |
+ uv sync
+ git diff
+
+ # Only build and deploy if PR is opened/synchronized/reopened
+ - name: Build docs
+ if: github.event.action != 'closed'
+ run: |
+ uv run mkdocs build --site-dir site/pr-${{ github.event.pull_request.number }}
+
+ - name: Deploy preview
+ id: deploy
+ if: github.event.action != 'closed'
+ run: |
+ git config --global user.name "GitHub Actions"
+ git config --global user.email "actions@github.com"
+
+ # Checkout gh-pages branch
+ git restore uv.lock
+ git fetch origin gh-pages --depth=1
+ git checkout gh-pages
+
+ # Create preview directory if it doesn't exist
+ mkdir -p pr-previews
+
+ # Check if there are actual changes in the built site
+ if [ -d "pr-previews/pr-${{ github.event.pull_request.number }}" ]; then
+ diff -r site/pr-${{ github.event.pull_request.number }} pr-previews/pr-${{ github.event.pull_request.number }} > /dev/null 2>&1
+ if [ $? -eq 0 ]; then
+ echo "No changes in documentation. Skipping deployment."
+ exit 0
+ fi
+ fi
+
+ # Remove old preview if it exists
+ rm -rf pr-previews/pr-${{ github.event.pull_request.number }}
+ # Copy new preview
+ cp -r site/pr-${{ github.event.pull_request.number }} pr-previews/
+
+ # Commit and push
+ git add pr-previews
+ git commit -m "Deploy preview for PR #${{ github.event.pull_request.number }}" || echo "No changes to commit"
+ git diff --staged --quiet || git push origin gh-pages
+ echo "has_changes=true" >> $GITHUB_OUTPUT
+
+ - name: Post/Update PR Review
+ if: github.event.action != 'closed'
+ uses: actions/github-script@v6
+ with:
+ github-token: ${{ secrets.GITHUB_TOKEN }}
+ script: |
+ const has_changes = '${{ steps.deploy.outputs.has_changes }}' === 'true';
+ const preview_url = `https://${context.repo.owner}.github.io/${context.repo.repo}/pr-previews/pr-${context.payload.pull_request.number}/`;
+ const message = `📚 Documentation preview will be available at: ${preview_url}
+
+ Status: ${has_changes ? '✅ Preview is ready!' : '🔄 No changes in documentation since last update'}`;
+
+ const reviews = await github.rest.pulls.listReviews({
+ owner: context.repo.owner,
+ repo: context.repo.repo,
+ pull_number: context.payload.pull_request.number,
+ });
+
+ const docReview = reviews.data.find(review =>
+ review.user.login === 'github-actions[bot]' &&
+ review.body.includes('Documentation preview will be available at:')
+ );
+
+ if (!docReview) {
+ await github.rest.pulls.createReview({
+ owner: context.repo.owner,
+ repo: context.repo.repo,
+ pull_number: context.payload.pull_request.number,
+ body: message,
+ event: 'COMMENT'
+ });
+ }
+
+ - name: Cleanup preview
+ if: github.event.action == 'closed'
+ run: |
+ git config --global user.name "GitHub Actions"
+ git config --global user.email "actions@github.com"
+
+ # Checkout gh-pages branch
+ git restore uv.lock
+ git fetch origin gh-pages --depth=1
+ git checkout gh-pages
+
+ # Remove the preview directory for this PR
+ rm -rf pr-previews/pr-${{ github.event.pull_request.number }}
+
+ # Commit and push if there are changes
+ git add pr-previews
+ git diff --staged --quiet || (git commit -m "Remove preview for PR #${{ github.event.pull_request.number }}" && git push origin gh-pages)
+
+ # Optional job to cleanup old PR previews
+ cleanup-old-previews:
+ if: github.event_name == 'push' && github.ref == 'refs/heads/develop'
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ with:
+ ref: gh-pages
+
+ - name: Get closed PRs
+ id: closed-prs
+ uses: actions/github-script@v7
+ with:
+ script: |
+ const prs = await github.rest.pulls.list({
+ owner: context.repo.owner,
+ repo: context.repo.repo,
+ state: 'closed'
+ });
+ return prs.data.map(pr => pr.number);
+ result-encoding: string
+
+ - name: Cleanup old previews
+ run: |
+ git config --global user.name "GitHub Actions"
+ git config --global user.email "actions@github.com"
+
+ # Get list of preview directories
+ cd pr-previews
+ for preview in pr-*; do
+ if [ -d "$preview" ]; then
+ PR_NUM=$(echo $preview | sed 's/pr-//')
+ if ! echo "${{ steps.closed-prs.outputs.result }}" | grep -q "$PR_NUM"; then
+ rm -rf "$preview"
+ echo "Removed old preview: $preview"
+ fi
+ fi
+ done
+
+ # Commit and push if there are changes
+ git add .
+ git diff --staged --quiet || (git commit -m "Cleanup old PR previews" && git push origin gh-pages)
+
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index fb1b2e4..1957822 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,6 @@
repos:
- repo: https://github.com/abravalheri/validate-pyproject
- rev: v0.12.1
+ rev: v0.23
hooks:
- id: validate-pyproject
diff --git a/docs/assets/logo_no_text.png b/docs/assets/logo_no_text.png
new file mode 100644
index 0000000..f9f3773
Binary files /dev/null and b/docs/assets/logo_no_text.png differ
diff --git a/docs/contributing.md b/docs/contributing.md
new file mode 120000
index 0000000..44fcc63
--- /dev/null
+++ b/docs/contributing.md
@@ -0,0 +1 @@
+../CONTRIBUTING.md
\ No newline at end of file
diff --git a/docs/src/examples/HLS_Example.ipynb b/docs/examples/rasterio_backend_example.ipynb
similarity index 99%
rename from docs/src/examples/HLS_Example.ipynb
rename to docs/examples/rasterio_backend_example.ipynb
index 753514c..22ea3c5 100644
--- a/docs/src/examples/HLS_Example.ipynb
+++ b/docs/examples/rasterio_backend_example.ipynb
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# TiTiler-CMR: HLS Data Demo\n",
+ "# rasterio backend example: HLS\n",
"\n",
"The Harmonized Landsat Sentinel-2 dataset is available in two collections in CMR. This example will use data from the `HLSL30.002` (Landsat) dataset.\n",
"\n",
diff --git a/docs/src/examples/Timeseries_Example.ipynb b/docs/examples/time_series_example.ipynb
similarity index 99%
rename from docs/src/examples/Timeseries_Example.ipynb
rename to docs/examples/time_series_example.ipynb
index d0a5d7b..5526a66 100644
--- a/docs/src/examples/Timeseries_Example.ipynb
+++ b/docs/examples/time_series_example.ipynb
@@ -5,8 +5,7 @@
"id": "d30ab27f-db17-4533-826f-1e514bfca9b5",
"metadata": {},
"source": [
- "# titiler-cmr: timeseries capabilities\n",
- "\n",
+ "# time series API\n",
"There is a family of `/timeseries` endpoints in the `titiler.cmr` API that can be used to generate time-aware responses.\n",
"\n",
"The Timeseries Extension provides endpoints for requesting results for all points or intervals\n",
diff --git a/docs/examples/xarray_backend_example.ipynb b/docs/examples/xarray_backend_example.ipynb
new file mode 100644
index 0000000..14f9845
--- /dev/null
+++ b/docs/examples/xarray_backend_example.ipynb
@@ -0,0 +1,996 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "cdeef4c6-75b0-44d9-90d4-c850b5d8908a",
+ "metadata": {},
+ "source": [
+ "# xarray backend: MUR SST\n",
+ "\n",
+ "The MUR SST dataset has daily records for sea surface temperature and ice cover fraction. There is a netcdf file for each record.\n",
+ "\n",
+ "To run the titiler-cmr service locally you can fire up the docker network with this command:\n",
+ "```bash\n",
+ "docker compose up\n",
+ "```\n",
+ "\n",
+ "#### Requirements\n",
+ "To run some of the chunks in this notebook you will need to install a few packages:\n",
+ "- `earthaccess`\n",
+ "- `folium`\n",
+ "- `httpx`\n",
+ "- `xarray`\n",
+ "\n",
+ "`!pip install folium httpx earthaccess xarray`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "7d015182-5347-437a-8b66-d7d62212f0e3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import json\n",
+ "from datetime import datetime, timezone\n",
+ "\n",
+ "import earthaccess\n",
+ "import httpx\n",
+ "import xarray as xr\n",
+ "from folium import GeoJson, Map, TileLayer\n",
+ "\n",
+ "# titiler_endpoint = \"http://localhost:8081\" # docker network endpoint\n",
+ "titiler_endpoint = \"https://dev-titiler-cmr.delta-backend.com\" # deployed endpoint"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d375b5b7-9322-4f1e-8859-000ef8ac4898",
+ "metadata": {},
+ "source": [
+ "## Identify the dataset\n",
+ "\n",
+ "You can find the MUR SST dataset using the `earthaccess.search_datasets` function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "f3fcc9cd-6105-42fc-98bf-2de40910a79c",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Concept-Id: C1996881146-POCLOUD\n",
+ "Abstract: A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel.This dataset is funded by the NASA MEaSUREs program ( http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects ), and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata \"history:\" attribute to determine if a granule is near-realtime or retrospective.\n"
+ ]
+ }
+ ],
+ "source": [
+ "datasets = earthaccess.search_datasets(doi=\"10.5067/GHGMR-4FJ04\")\n",
+ "ds = datasets[0]\n",
+ "\n",
+ "concept_id = ds[\"meta\"][\"concept-id\"]\n",
+ "print(\"Concept-Id: \", concept_id)\n",
+ "\n",
+ "print(\"Abstract: \", ds[\"umm\"][\"Abstract\"])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2a4cffa6-0059-4033-a708-db60d743f0e3",
+ "metadata": {},
+ "source": [
+ "## Examine a granule\n",
+ "\n",
+ "Each granule contains a single day record for the entire globe and has a single data file. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "1bde609a-26df-4f35-b7e1-9e1922e87808",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Granules:\n",
+ "[Collection: {'Version': '4.1', 'ShortName': 'MUR-JPL-L4-GLOB-v4.1'}\n",
+ "Spatial coverage: {'HorizontalSpatialDomain': {'Geometry': {'BoundingRectangles': [{'WestBoundingCoordinate': -180, 'SouthBoundingCoordinate': -90, 'EastBoundingCoordinate': 180, 'NorthBoundingCoordinate': 90}]}}}\n",
+ "Temporal coverage: {'RangeDateTime': {'EndingDateTime': '2024-10-12T21:00:00.000Z', 'BeginningDateTime': '2024-10-11T21:00:00.000Z'}}\n",
+ "Size(MB): 707.340648651123\n",
+ "Data: ['https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/MUR-JPL-L4-GLOB-v4.1/20241012090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc']]\n",
+ "\n",
+ "Example of NetCDF URL: \n",
+ "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/MUR-JPL-L4-GLOB-v4.1/20241012090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc\n"
+ ]
+ }
+ ],
+ "source": [
+ "results = earthaccess.search_data(\n",
+ " count=1,\n",
+ " concept_id=concept_id,\n",
+ " temporal=(\"2024-10-12\", \"2024-10-13\"),\n",
+ ")\n",
+ "print(\"Granules:\")\n",
+ "print(results)\n",
+ "print()\n",
+ "print(\"Example of NetCDF URL: \")\n",
+ "for link in results[0].data_links(access=\"external\"):\n",
+ " print(link)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "eaa3f378-95fa-4c5a-9ccb-24b3064fb5a7",
+ "metadata": {},
+ "source": [
+ "## Explore the available variables\n",
+ "\n",
+ "The NetCDF file can be opened with xarray using the `h5netcdf` engine. When running outside of AWS region us-west-2 you will need to access the data using \"external\" `https` links (rather than \"direct\" `s3` links). Those links will require authentication which is handled by `earthaccess` as long as you have your Earthdata credentials stored in the `~/.netrc` file!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "61ec4071-bf37-421f-bf58-ac399f827052",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Data Variables:\n",
+ "analysed_sst\n",
+ "analysis_error\n",
+ "mask\n",
+ "sea_ice_fraction\n",
+ "dt_1km_data\n",
+ "sst_anomaly\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "
<xarray.Dataset> Size: 29GB\n",
+ "Dimensions: (time: 1, lat: 17999, lon: 36000)\n",
+ "Coordinates:\n",
+ " * time (time) datetime64[ns] 8B 2024-10-12T09:00:00\n",
+ " * lat (lat) float32 72kB -89.99 -89.98 -89.97 ... 89.98 89.99\n",
+ " * lon (lon) float32 144kB -180.0 -180.0 -180.0 ... 180.0 180.0\n",
+ "Data variables:\n",
+ " analysed_sst (time, lat, lon) float64 5GB ...\n",
+ " analysis_error (time, lat, lon) float64 5GB ...\n",
+ " mask (time, lat, lon) float32 3GB ...\n",
+ " sea_ice_fraction (time, lat, lon) float64 5GB ...\n",
+ " dt_1km_data (time, lat, lon) timedelta64[ns] 5GB ...\n",
+ " sst_anomaly (time, lat, lon) float64 5GB ...\n",
+ "Attributes: (12/47)\n",
+ " Conventions: CF-1.7\n",
+ " title: Daily MUR SST, Final product\n",
+ " summary: A merged, multi-sensor L4 Foundation SST anal...\n",
+ " references: http://podaac.jpl.nasa.gov/Multi-scale_Ultra-...\n",
+ " institution: Jet Propulsion Laboratory\n",
+ " history: created at nominal 4-day latency; replaced nr...\n",
+ " ... ...\n",
+ " project: NASA Making Earth Science Data Records for Us...\n",
+ " publisher_name: GHRSST Project Office\n",
+ " publisher_url: http://www.ghrsst.org\n",
+ " publisher_email: ghrsst-po@nceo.ac.uk\n",
+ " processing_level: L4\n",
+ " cdm_data_type: grid Dimensions: time : 1lat : 17999lon : 36000
Coordinates: (3)
Data variables: (6)
analysed_sst
(time, lat, lon)
float64
...
long_name : analysed sea surface temperature standard_name : sea_surface_foundation_temperature units : kelvin valid_min : -32767 valid_max : 32767 comment : "Final" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation source : MODIS_T-JPL, MODIS_A-JPL, AVHRRMTB_G-NAVO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF [647964000 values with dtype=float64] analysis_error
(time, lat, lon)
float64
...
long_name : estimated error standard deviation of analysed_sst units : kelvin valid_min : 0 valid_max : 32767 comment : uncertainty in "analysed_sst" [647964000 values with dtype=float64] mask
(time, lat, lon)
float32
...
long_name : sea/land field composite mask valid_min : 1 valid_max : 31 flag_masks : [ 1 2 4 8 16] flag_meanings : open_sea land open_lake open_sea_with_ice_in_the_grid open_lake_with_ice_in_the_grid comment : mask can be used to further filter the data. source : GMT "grdlandmask", ice flag from sea_ice_fraction data [647964000 values with dtype=float32] sea_ice_fraction
(time, lat, lon)
float64
...
long_name : sea ice area fraction standard_name : sea_ice_area_fraction valid_min : 0 valid_max : 100 source : EUMETSAT OSI-SAF, copyright EUMETSAT comment : ice fraction is a dimensionless quantity between 0 and 1; it has been interpolated by a nearest neighbor approach; EUMETSAT OSI-SAF files used: ice_conc_nh_polstere-100_multi_202410121200.nc, ice_conc_sh_polstere-100_multi_202410121200.nc. [647964000 values with dtype=float64] dt_1km_data
(time, lat, lon)
timedelta64[ns]
...
long_name : time to most recent 1km data valid_min : -127 valid_max : 127 source : MODIS and VIIRS pixels ingested by MUR comment : The grid value is hours between the analysis time and the most recent MODIS or VIIRS 1km L2P datum within 0.01 degrees from the grid point. "Fill value" indicates absence of such 1km data at the grid point. [647964000 values with dtype=timedelta64[ns]] sst_anomaly
(time, lat, lon)
float64
...
long_name : SST anomaly from a seasonal SST climatology based on the MUR data over 2003-2014 period units : kelvin valid_min : -32767 valid_max : 32767 comment : anomaly reference to the day-of-year average between 2003 and 2014 [647964000 values with dtype=float64] Indexes: (3)
PandasIndex
PandasIndex(DatetimeIndex(['2024-10-12 09:00:00'], dtype='datetime64[ns]', name='time', freq=None)) PandasIndex
PandasIndex(Index([-89.98999786376953, -89.9800033569336, -89.97000122070312,\n",
+ " -89.95999908447266, -89.94999694824219, -89.94000244140625,\n",
+ " -89.93000030517578, -89.91999816894531, -89.91000366210938,\n",
+ " -89.9000015258789,\n",
+ " ...\n",
+ " 89.9000015258789, 89.91000366210938, 89.91999816894531,\n",
+ " 89.93000030517578, 89.94000244140625, 89.94999694824219,\n",
+ " 89.95999908447266, 89.97000122070312, 89.9800033569336,\n",
+ " 89.98999786376953],\n",
+ " dtype='float32', name='lat', length=17999)) PandasIndex
PandasIndex(Index([-179.99000549316406, -179.97999572753906, -179.97000122070312,\n",
+ " -179.9600067138672, -179.9499969482422, -179.94000244140625,\n",
+ " -179.92999267578125, -179.9199981689453, -179.91000366210938,\n",
+ " -179.89999389648438,\n",
+ " ...\n",
+ " 179.91000366210938, 179.9199981689453, 179.92999267578125,\n",
+ " 179.94000244140625, 179.9499969482422, 179.9600067138672,\n",
+ " 179.97000122070312, 179.97999572753906, 179.99000549316406,\n",
+ " 180.0],\n",
+ " dtype='float32', name='lon', length=36000)) Attributes: (47)
Conventions : CF-1.7 title : Daily MUR SST, Final product summary : A merged, multi-sensor L4 Foundation SST analysis product from JPL. references : http://podaac.jpl.nasa.gov/Multi-scale_Ultra-high_Resolution_MUR-SST institution : Jet Propulsion Laboratory history : created at nominal 4-day latency; replaced nrt (1-day latency) version. comment : MUR = "Multi-scale Ultra-high Resolution" license : These data are available free of charge under data policy of JPL PO.DAAC. id : MUR-JPL-L4-GLOB-v04.1 naming_authority : org.ghrsst product_version : 04.1 uuid : 27665bc0-d5fc-11e1-9b23-0800200c9a66 gds_version_id : 2.0 netcdf_version_id : 4.1 date_created : 20241021T071625Z start_time : 20241012T090000Z stop_time : 20241012T090000Z time_coverage_start : 20241011T210000Z time_coverage_end : 20241012T210000Z file_quality_level : 3 source : MODIS_T-JPL, MODIS_A-JPL, AVHRRMTB_G-NAVO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF platform : Terra, Aqua, MetOp-B, Buoys/Ships sensor : MODIS, AVHRR, in-situ Metadata_Conventions : Unidata Observation Dataset v1.0 metadata_link : http://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=MUR-JPL-L4-GLOB-v04.1 keywords : Oceans > Ocean Temperature > Sea Surface Temperature keywords_vocabulary : NASA Global Change Master Directory (GCMD) Science Keywords standard_name_vocabulary : NetCDF Climate and Forecast (CF) Metadata Convention southernmost_latitude : -90.0 northernmost_latitude : 90.0 westernmost_longitude : -180.0 easternmost_longitude : 180.0 spatial_resolution : 0.01 degrees geospatial_lat_units : degrees north geospatial_lat_resolution : 0.01 geospatial_lon_units : degrees east geospatial_lon_resolution : 0.01 acknowledgment : Please acknowledge the use of these data with the following statement: These data were provided by JPL under support by NASA MEaSUREs program. creator_name : JPL MUR SST project creator_email : ghrsst@podaac.jpl.nasa.gov creator_url : http://mur.jpl.nasa.gov project : NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Program publisher_name : GHRSST Project Office publisher_url : http://www.ghrsst.org publisher_email : ghrsst-po@nceo.ac.uk processing_level : L4 cdm_data_type : grid "
+ ],
+ "text/plain": [
+ " Size: 29GB\n",
+ "Dimensions: (time: 1, lat: 17999, lon: 36000)\n",
+ "Coordinates:\n",
+ " * time (time) datetime64[ns] 8B 2024-10-12T09:00:00\n",
+ " * lat (lat) float32 72kB -89.99 -89.98 -89.97 ... 89.98 89.99\n",
+ " * lon (lon) float32 144kB -180.0 -180.0 -180.0 ... 180.0 180.0\n",
+ "Data variables:\n",
+ " analysed_sst (time, lat, lon) float64 5GB ...\n",
+ " analysis_error (time, lat, lon) float64 5GB ...\n",
+ " mask (time, lat, lon) float32 3GB ...\n",
+ " sea_ice_fraction (time, lat, lon) float64 5GB ...\n",
+ " dt_1km_data (time, lat, lon) timedelta64[ns] 5GB ...\n",
+ " sst_anomaly (time, lat, lon) float64 5GB ...\n",
+ "Attributes: (12/47)\n",
+ " Conventions: CF-1.7\n",
+ " title: Daily MUR SST, Final product\n",
+ " summary: A merged, multi-sensor L4 Foundation SST anal...\n",
+ " references: http://podaac.jpl.nasa.gov/Multi-scale_Ultra-...\n",
+ " institution: Jet Propulsion Laboratory\n",
+ " history: created at nominal 4-day latency; replaced nr...\n",
+ " ... ...\n",
+ " project: NASA Making Earth Science Data Records for Us...\n",
+ " publisher_name: GHRSST Project Office\n",
+ " publisher_url: http://www.ghrsst.org\n",
+ " publisher_email: ghrsst-po@nceo.ac.uk\n",
+ " processing_level: L4\n",
+ " cdm_data_type: grid"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fs = earthaccess.get_fsspec_https_session()\n",
+ "\n",
+ "ds = xr.open_dataset(fs.open(results[0].data_links(access=\"external\")[0]), engine=\"h5netcdf\")\n",
+ "print(\"Data Variables:\")\n",
+ "for var in ds.data_vars:\n",
+ " print(str(var))\n",
+ "\n",
+ "display(ds)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "885357ee-af17-4a07-a72e-b2aa7ce6cbed",
+ "metadata": {},
+ "source": [
+ "## Define a query for titiler-cmr\n",
+ "\n",
+ "To use titiler-cmr's endpoints for a NetCDF dataset like this we need to define a date range for the CMR query and a `variable` to analyze."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "d13fbdbc-780c-469f-ad1e-14d622e3abc4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "variable = \"sea_ice_fraction\"\n",
+ "datetime_ = datetime(2024, 10, 10, tzinfo=timezone.utc).isoformat()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bfe85de5-b1ed-4561-802b-d0bea58da1cf",
+ "metadata": {},
+ "source": [
+ "## Display tiles in an interactive map\n",
+ "\n",
+ "The `/tilejson.json` endpoint will provide a parameterized `xyz` tile URL that can be added to an interactive map."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "00116c09-f16f-4246-8e52-00ef64579abb",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{'tilejson': '2.2.0', 'version': '1.0.0', 'scheme': 'xyz', 'tiles': ['https://dev-titiler-cmr.delta-backend.com/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?concept_id=C1996881146-POCLOUD&datetime=2024-10-10T00%3A00%3A00%2B00%3A00&backend=xarray&variable=sea_ice_fraction&rescale=0%2C1&colormap_name=blues_r'], 'minzoom': 2, 'maxzoom': 13, 'bounds': [-180.0, -90.0, 180.0, 90.0], 'center': [0.0, 0.0, 2]}\n"
+ ]
+ }
+ ],
+ "source": [
+ "r = httpx.get(\n",
+ " f\"{titiler_endpoint}/WebMercatorQuad/tilejson.json\",\n",
+ " params = (\n",
+ " (\"concept_id\", concept_id),\n",
+ " # Datetime in form of `start_date/end_date`\n",
+ " (\"datetime\", datetime_),\n",
+ " # titiler-cmr can work with both Zarr and COG dataset\n",
+ " # but we need to tell the endpoints in advance which backend\n",
+ " # to use\n",
+ " (\"backend\", \"xarray\"),\n",
+ " (\"variable\", variable),\n",
+ " # We need to set min/max zoom because we don't want to use lowerzoom level (e.g 0)\n",
+ " # which will results in useless large scale query\n",
+ " (\"minzoom\", 2),\n",
+ " (\"maxzoom\", 13),\n",
+ " (\"rescale\", \"0,1\"),\n",
+ " (\"colormap_name\", \"blues_r\"),\n",
+ " )\n",
+ ").json()\n",
+ "\n",
+ "print(r)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "328f9b97-7067-43d1-a918-62bb6470499c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "Make this Notebook Trusted to load map: File -> Trust Notebook
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "bounds = r[\"bounds\"]\n",
+ "m = Map(\n",
+ " location=(70, -40),\n",
+ " zoom_start=3\n",
+ ")\n",
+ "\n",
+ "TileLayer(\n",
+ " tiles=r[\"tiles\"][0],\n",
+ " opacity=1,\n",
+ " attr=\"NASA\",\n",
+ ").add_to(m)\n",
+ "m"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b2a35be0-b281-4a30-82da-635eadf6d94e",
+ "metadata": {},
+ "source": [
+ "## GeoJSON Statistics\n",
+ "The `/statistics` endpoint can be used to get summary statistics for a geojson `Feature` or `FeatureCollection`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "06d7ef8e-9410-4b35-9d05-e55b4e4972ba",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{\n",
+ " \"type\": \"FeatureCollection\",\n",
+ " \"features\": [\n",
+ " {\n",
+ " \"type\": \"Feature\",\n",
+ " \"geometry\": {\n",
+ " \"type\": \"Polygon\",\n",
+ " \"coordinates\": [\n",
+ " [\n",
+ " [\n",
+ " -20.79973248834736,\n",
+ " 83.55979308678764\n",
+ " ],\n",
+ " [\n",
+ " -20.79973248834736,\n",
+ " 75.0115425216471\n",
+ " ],\n",
+ " [\n",
+ " 14.483337068956956,\n",
+ " 75.0115425216471\n",
+ " ],\n",
+ " [\n",
+ " 14.483337068956956,\n",
+ " 83.55979308678764\n",
+ " ],\n",
+ " [\n",
+ " -20.79973248834736,\n",
+ " 83.55979308678764\n",
+ " ]\n",
+ " ]\n",
+ " ]\n",
+ " },\n",
+ " \"properties\": {\n",
+ " \"statistics\": {\n",
+ " \"sea_ice_fraction\": {\n",
+ " \"min\": 0.3,\n",
+ " \"max\": 0.99,\n",
+ " \"mean\": 0.845157064600111,\n",
+ " \"count\": 1725290.875,\n",
+ " \"sum\": 1458141.771496357,\n",
+ " \"std\": 0.1559272507275522,\n",
+ " \"median\": 0.9,\n",
+ " \"majority\": 0.9500000000000001,\n",
+ " \"minority\": 0.36,\n",
+ " \"unique\": 70.0,\n",
+ " \"histogram\": [\n",
+ " [\n",
+ " 34892,\n",
+ " 39574,\n",
+ " 38696,\n",
+ " 37867,\n",
+ " 44348,\n",
+ " 72817,\n",
+ " 110580,\n",
+ " 200188,\n",
+ " 472678,\n",
+ " 675707\n",
+ " ],\n",
+ " [\n",
+ " 0.3,\n",
+ " 0.369,\n",
+ " 0.43799999999999994,\n",
+ " 0.5069999999999999,\n",
+ " 0.576,\n",
+ " 0.645,\n",
+ " 0.714,\n",
+ " 0.7829999999999999,\n",
+ " 0.8519999999999999,\n",
+ " 0.9209999999999998,\n",
+ " 0.99\n",
+ " ]\n",
+ " ],\n",
+ " \"valid_percent\": 57.18,\n",
+ " \"masked_pixels\": 1293477.0,\n",
+ " \"valid_pixels\": 1727347.0,\n",
+ " \"percentile_2\": 0.36,\n",
+ " \"percentile_98\": 0.99\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " ]\n",
+ "}\n"
+ ]
+ }
+ ],
+ "source": [
+ "geojson_dict = {\n",
+ " \"type\": \"FeatureCollection\",\n",
+ " \"features\": [\n",
+ " {\n",
+ " \"type\": \"Feature\",\n",
+ " \"properties\": {},\n",
+ " \"geometry\": {\n",
+ " \"coordinates\": [\n",
+ " [\n",
+ " [\n",
+ " -20.79973248834736,\n",
+ " 83.55979308678764\n",
+ " ],\n",
+ " [\n",
+ " -20.79973248834736,\n",
+ " 75.0115425216471\n",
+ " ],\n",
+ " [\n",
+ " 14.483337068956956,\n",
+ " 75.0115425216471\n",
+ " ],\n",
+ " [\n",
+ " 14.483337068956956,\n",
+ " 83.55979308678764\n",
+ " ],\n",
+ " [\n",
+ " -20.79973248834736,\n",
+ " 83.55979308678764\n",
+ " ]\n",
+ " ]\n",
+ " ],\n",
+ " \"type\": \"Polygon\"\n",
+ " }\n",
+ " }\n",
+ " ]\n",
+ "}\n",
+ "\n",
+ "r = httpx.post(\n",
+ " f\"{titiler_endpoint}/statistics\",\n",
+ " params=(\n",
+ " (\"concept_id\", concept_id),\n",
+ " # Datetime in form of `start_date/end_date`\n",
+ " (\"datetime\", datetime_),\n",
+ " # titiler-cmr can work with both Zarr and COG dataset\n",
+ " # but we need to tell the endpoints in advance which backend\n",
+ " # to use\n",
+ " (\"backend\", \"xarray\"),\n",
+ " (\"variable\", variable),\n",
+ " ),\n",
+ " json=geojson_dict,\n",
+ " timeout=60,\n",
+ ").json()\n",
+ "\n",
+ "print(json.dumps(r, indent=2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7a38b762-ff68-40d3-84eb-0e37957381e0",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.9"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/index.md b/docs/index.md
new file mode 120000
index 0000000..32d46ee
--- /dev/null
+++ b/docs/index.md
@@ -0,0 +1 @@
+../README.md
\ No newline at end of file
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
deleted file mode 100644
index 771c43e..0000000
--- a/docs/mkdocs.yml
+++ /dev/null
@@ -1,68 +0,0 @@
-site_name: TiTiler.CMR
-site_description: Connect Common Metadata Repository (CMR) and TiTiler.
-
-docs_dir: 'src'
-site_dir: 'build'
-
-repo_name: developmentseed/titiler-cmr
-repo_url: https://github.com/developmentseed/titiler-cmr
-edit_uri: blob/main/docs/
-site_url: https://developmentseed.org/titiler-cmr/
-
-extra:
- social:
- - icon: "fontawesome/brands/github"
- link: "https://github.com/stac-utils"
- version:
- provider: mike
- default: latest
-
-nav:
- - Home: index.md
- - API: API.md
- - Development - Contributing: contributing.md
- - Release notes: release-notes.md
- - Performance Benchmarks: benchmark.html
-
-plugins:
- - search
- - mkdocs-jupyter:
- include_source: True
-
-theme:
- name: material
- favicon: img/favicon.ico
- logo: img/logo.png
- features:
- - navigation.indexes
-
-extra_css:
- - overrides/stylesheets/extra.css
-
-# https://github.com/kylebarron/cogeo-mosaic/blob/mkdocs/mkdocs.yml#L50-L75
-markdown_extensions:
- - admonition
- - attr_list
- - codehilite:
- guess_lang: false
- - def_list
- - footnotes
- - pymdownx.arithmatex
- - pymdownx.betterem
- - pymdownx.caret:
- insert: false
- - pymdownx.details
- - pymdownx.emoji
- - pymdownx.escapeall:
- hardbreak: true
- nbsp: true
- - pymdownx.magiclink:
- hide_protocol: true
- repo_url_shortener: true
- - pymdownx.smartsymbols
- - pymdownx.superfences
- - pymdownx.tasklist:
- custom_checkbox: true
- - pymdownx.tilde
- - toc:
- permalink: true
diff --git a/docs/overrides/stylesheets/extra.css b/docs/overrides/stylesheets/extra.css
new file mode 100644
index 0000000..13530ff
--- /dev/null
+++ b/docs/overrides/stylesheets/extra.css
@@ -0,0 +1,77 @@
+:root,
+[data-md-color-scheme="default"] {
+ /* --md-heading-font: "Oswald"; */
+ --md-primary-fg-color: #cf3f02;
+ --md-default-fg-color: #443f3f;
+ --boxShadowD: 0px 12px 24px 0px rgba(68, 63, 63, 0.08),
+ 0px 0px 4px 0px rgba(68, 63, 63, 0.08);
+}
+body {
+ margin: 0;
+ padding: 0;
+ /* font-size: 16px; */
+}
+h1,
+h2,
+h3,
+h4,
+h5,
+h6 {
+ font-family: var(--md-heading-font);
+ font-weight: bold;
+}
+.md-typeset h1,
+.md-typeset h2,
+.md-typeset h3,
+.md-typeset h4 {
+ font-weight: normal;
+ color: var(--md-default-fg-color);
+}
+.md-button,
+.md-typeset .md-button {
+ font-family: var(--md-heading-font);
+}
+.md-content .supheading {
+ font-family: var(--md-heading-font);
+ text-transform: uppercase;
+ color: var(--md-primary-fg-color);
+ font-size: 0.75rem;
+ font-weight: bold;
+}
+.md-typeset pre.xr-text-repr-fallback {
+ display: none;
+}
+
+.md-typeset ul.xr-sections,
+.jupyter-wrapper .jp-OutputArea-output dl.xr-attrs {
+ display: grid;
+}
+
+.md-typeset li.xr-var-item,
+.md-typeset ul.xr-var-list {
+ display: contents;
+}
+
+.md-typeset .xr-section-details {
+ display: none;
+}
+
+.md-typeset ul.xr-dim-list li {
+ margin-bottom: 0;
+ margin-left: 0;
+}
+
+.md-typeset ul.xr-dim-list {
+ margin-bottom: 0;
+ margin-top: 0;
+}
+
+.jupyter-wrapper .jp-OutputArea-output .xr-attrs dt {
+ padding: 0;
+ margin: 0;
+ float: left;
+ padding-right: 10px;
+ width: auto;
+ font-weight: normal;
+ grid-column: 1;
+}
diff --git a/docs/release-notes.md b/docs/release-notes.md
new file mode 120000
index 0000000..04c99a5
--- /dev/null
+++ b/docs/release-notes.md
@@ -0,0 +1 @@
+../CHANGELOG.md
\ No newline at end of file
diff --git a/docs/src/API.md b/docs/src/API.md
deleted file mode 100644
index b575f92..0000000
--- a/docs/src/API.md
+++ /dev/null
@@ -1,96 +0,0 @@
-# API Specification
-
-## API Specification for /tiles/x/y/z Endpoint
-
-## Endpoint Description
-
-`GET /tiles/{tileMatrixSetId}/{z}/{x}/{y}@{scale}x`
-
-`GET /tiles/{tileMatrixSetId}/{z}/{x}/{y}@{scale}x.{format}`
-
-`GET /tiles/{tileMatrixSetId}/{z}/{x}/{y}.{format}`
-
-`GET /tiles/{tileMatrixSetId}/{z}/{x}/{y}`
-
-This endpoint provides tiled data for specific geographical locations and times. Tiles are defined by their x, y, and z coordinates.
-
-## Parameters
-
-- **Path Parameters:**
- - `tileMatrixSetId` (string): TileMatrixSet name (e.g **WebMercatorQuad**)
- - `x` (integer): The x coordinate of the tile
- - `y` (integer): The y coordinate of the tile
- - `z` (integer): The zoom level of the tile
- - `scale` (integer, optional): Tile size scale, default is set to 1 (256x256)
- - `format` (string, optional): Output image format, default is set to None and will be either JPEG or PNG depending on the presence of masked value.
-
-- **Query Parameters:**
- - `concept_id` (string): The [concept ID](https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html#c-concept-id) of the collection. **REQUIRED**
- - `datetime` (string, optional): Either a date-time or an interval. Date and time expressions adhere to rfc3339 '2018-02-12T09:00:00Z' format. Intervals may be bounded or half-bounded (double-dots at start or end) **RECOMMENDED**
- - `backend` (*rasterio* or *xarray*, optional): Backend to use in order to read the CMR dataset. Defaults to `rasterio`
- - `variable`* (string, optional): The variable of interest. `required` when using `xarray` backend
- - `time_slice`* (string, optional): The time for which data is requested, in ISO 8601 format
- - `decode_times`* (bool, optional): Whether to decode times
- - `bidx`** (int, optional): Dataset band indexes (multiple allowed)
- - `expression`** (string, optional): rio-tiler's band math expression
- - `bands` ** (string, optional): Band name. Used when data is split into multiple files (multiple allowed)
- - `bands_regex` ** (string, optional): Regex expression to parse CMR dataset links.
- - `unscale`** (bool, optional): Apply dataset internal Scale/Offset.
- - `nodata` (string or number, optional): Overwrite internal Nodata value
- - `resampling`**: RasterIO resampling algorithm. Defaults to `nearest`.
- - `reproject`: WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`.
- - `algorithm` (string, optional): Custom algorithm name (e.g hillshade).
- - `algorithm_params` (string): JSON encoded algorithm parameters.
- - `color_formula` (string): rio-color formula.
- - `colormap_name` (string, optional): The name of the colormap to apply
- - `colormap` (string, optional): JSON encoded custom Colormap
- - `rescale` (string, optional): The rescale range in the format `min,max`
- - `return_mask` (bool, optional): Add mask to the output data. Defaults to `True`
-
-\* used in `xarray` backend only
-
-\** used in `rasterio` backend only
-
-## Request Example
-
-GET /tiles/WebMercatorQuad/1/2/3?backend=xarray&variable=temperature&time_slice=2024-01-16T00:00:00Z&colormap=viridis&rescale=0,100&datetime=2024-01-16T09:00:00Z&concept_id=C0000000000-YOCLOUD
-
-
-## Responses
-
-- **200 OK:**
- - Description: Successful response with tile data.
- - Content type: `image/png`
- - Body: [Binary Data]
-
-- **400 Bad Request:**
- - Description: The request is invalid. This can happen with missing required parameters or invalid parameter values.
- - Content type: `application/json`
- - Body:
- ```json
- {
- "error": "Invalid request parameters."
- }
- ```
-
-- **404 Not Found:**
- - Description: No data found for the specified parameters.
- - Content type: `application/json`
- - Body:
- ```json
- {
- "error": "No data found for the provided coordinates and time."
- }
- ```
-
-- **500 Internal Server Error:**
- - Description: Generic server error message for when an error has occurred on the server.
- - Content type: `application/json`
- - Body:
- ```json
- {
- "error": "Internal server error."
- }
- ```
-
-
diff --git a/docs/src/contributing.md b/docs/src/contributing.md
deleted file mode 120000
index f939e75..0000000
--- a/docs/src/contributing.md
+++ /dev/null
@@ -1 +0,0 @@
-../../CONTRIBUTING.md
\ No newline at end of file
diff --git a/docs/src/examples/SST_Example.ipynb b/docs/src/examples/SST_Example.ipynb
deleted file mode 100644
index d3d84b4..0000000
--- a/docs/src/examples/SST_Example.ipynb
+++ /dev/null
@@ -1,307 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "id": "cdeef4c6-75b0-44d9-90d4-c850b5d8908a",
- "metadata": {},
- "source": [
- "# TiTiler-CMR: Sea Surface Temperature Example\n",
- "\n",
- "The MUR SST dataset has daily records for sea surface temperature and ice cover fraction. There is a netcdf file for each record.\n",
- "\n",
- "To run the titiler-cmr service locally you can fire up the docker network with this command:\n",
- "```bash\n",
- "docker compose up\n",
- "```\n",
- "\n",
- "#### Requirements\n",
- "To run some of the chunks in this notebook you will need to install a few packages:\n",
- "- `earthaccess`\n",
- "- `folium`\n",
- "- `httpx`\n",
- "- `xarray`\n",
- "\n",
- "`!pip install folium httpx earthaccess xarray`"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "7d015182-5347-437a-8b66-d7d62212f0e3",
- "metadata": {},
- "outputs": [],
- "source": [
- "import json\n",
- "from datetime import datetime, timezone\n",
- "\n",
- "import earthaccess\n",
- "import httpx\n",
- "import xarray as xr\n",
- "from folium import GeoJson, Map, TileLayer\n",
- "\n",
- "# if running titiler-cmr in the docker network\n",
- "titiler_endpoint = \"http://localhost:8081\""
- ]
- },
- {
- "cell_type": "markdown",
- "id": "d375b5b7-9322-4f1e-8859-000ef8ac4898",
- "metadata": {},
- "source": [
- "## Identify the dataset\n",
- "\n",
- "You can find the MUR SST dataset using the `earthaccess.search_datasets` function."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "f3fcc9cd-6105-42fc-98bf-2de40910a79c",
- "metadata": {},
- "outputs": [],
- "source": [
- "datasets = earthaccess.search_datasets(doi=\"10.5067/GHGMR-4FJ04\")\n",
- "ds = datasets[0]\n",
- "\n",
- "concept_id = ds[\"meta\"][\"concept-id\"]\n",
- "print(\"Concept-Id: \", concept_id)\n",
- "\n",
- "print(\"Abstract: \", ds[\"umm\"][\"Abstract\"])"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "2a4cffa6-0059-4033-a708-db60d743f0e3",
- "metadata": {},
- "source": [
- "## Examine a granule\n",
- "\n",
- "Each granule contains a single day record for the entire globe and has a single data file. "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "1bde609a-26df-4f35-b7e1-9e1922e87808",
- "metadata": {},
- "outputs": [],
- "source": [
- "results = earthaccess.search_data(\n",
- " count=1,\n",
- " concept_id=concept_id,\n",
- " temporal=(\"2024-10-12\", \"2024-10-13\"),\n",
- ")\n",
- "print(\"Granules:\")\n",
- "print(results)\n",
- "print()\n",
- "print(\"Example of NetCDF URL: \")\n",
- "for link in results[0].data_links(access=\"external\"):\n",
- " print(link)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "eaa3f378-95fa-4c5a-9ccb-24b3064fb5a7",
- "metadata": {},
- "source": [
- "## Explore the available variables\n",
- "\n",
- "The NetCDF file can be opened with xarray using the `h5netcdf` engine. When running outside of AWS region us-west-2 you will need to access the data using \"external\" `https` links (rather than \"direct\" `s3` links). Those links will require authentication which is handled by `earthaccess` as long as you have your Earthdata credentials stored in the `~/.netrc` file!"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "61ec4071-bf37-421f-bf58-ac399f827052",
- "metadata": {},
- "outputs": [],
- "source": [
- "fs = earthaccess.get_fsspec_https_session()\n",
- "\n",
- "ds = xr.open_dataset(fs.open(results[0].data_links(access=\"external\")[0]), engine=\"h5netcdf\")\n",
- "print(\"Data Variables:\")\n",
- "for var in ds.data_vars:\n",
- " print(str(var))\n",
- "\n",
- "ds"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "885357ee-af17-4a07-a72e-b2aa7ce6cbed",
- "metadata": {},
- "source": [
- "## Define a query for titiler-cmr\n",
- "\n",
- "To use titiler-cmr's endpoints for a NetCDF dataset like this we need to define a date range for the CMR query and a `variable` to analyze."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "d13fbdbc-780c-469f-ad1e-14d622e3abc4",
- "metadata": {},
- "outputs": [],
- "source": [
- "variable = \"sea_ice_fraction\"\n",
- "datetime_range = \"/\".join(\n",
- " dt.isoformat() for dt in [datetime(2024, 10, 10, tzinfo=timezone.utc), datetime(2024, 10, 11, tzinfo=timezone.utc)]\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "bfe85de5-b1ed-4561-802b-d0bea58da1cf",
- "metadata": {},
- "source": [
- "## Display tiles in an interactive map\n",
- "\n",
- "The `/tilejson.json` endpoint will provide a parameterized `xyz` tile URL that can be added to an interactive map."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "00116c09-f16f-4246-8e52-00ef64579abb",
- "metadata": {},
- "outputs": [],
- "source": [
- "r = httpx.get(\n",
- " f\"{titiler_endpoint}/WebMercatorQuad/tilejson.json\",\n",
- " params = (\n",
- " (\"concept_id\", concept_id),\n",
- " # Datetime in form of `start_date/end_date`\n",
- " (\"datetime\", datetime_range),\n",
- " # titiler-cmr can work with both Zarr and COG dataset\n",
- " # but we need to tell the endpoints in advance which backend\n",
- " # to use\n",
- " (\"backend\", \"xarray\"),\n",
- " (\"variable\", variable),\n",
- " # We need to set min/max zoom because we don't want to use lowerzoom level (e.g 0)\n",
- " # which will results in useless large scale query\n",
- " (\"minzoom\", 2),\n",
- " (\"maxzoom\", 13),\n",
- " (\"rescale\", \"0,1\"),\n",
- " (\"colormap_name\", \"blues_r\"),\n",
- " )\n",
- ").json()\n",
- "\n",
- "print(r)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "328f9b97-7067-43d1-a918-62bb6470499c",
- "metadata": {},
- "outputs": [],
- "source": [
- "bounds = r[\"bounds\"]\n",
- "m = Map(\n",
- " location=(80, -40),\n",
- " zoom_start=3\n",
- ")\n",
- "\n",
- "TileLayer(\n",
- " tiles=r[\"tiles\"][0],\n",
- " opacity=1,\n",
- " attr=\"NASA\",\n",
- ").add_to(m)\n",
- "m"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "b2a35be0-b281-4a30-82da-635eadf6d94e",
- "metadata": {},
- "source": [
- "## GeoJSON Statistics\n",
- "The `/statistics` endpoint can be used to get summary statistics for a geojson `Feature` or `FeatureCollection`."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "06d7ef8e-9410-4b35-9d05-e55b4e4972ba",
- "metadata": {},
- "outputs": [],
- "source": [
- "geojson_dict = {\n",
- " \"type\": \"FeatureCollection\",\n",
- " \"features\": [\n",
- " {\n",
- " \"type\": \"Feature\",\n",
- " \"properties\": {},\n",
- " \"geometry\": {\n",
- " \"coordinates\": [\n",
- " [\n",
- " [\n",
- " -20.79973248834736,\n",
- " 83.55979308678764\n",
- " ],\n",
- " [\n",
- " -20.79973248834736,\n",
- " 75.0115425216471\n",
- " ],\n",
- " [\n",
- " 14.483337068956956,\n",
- " 75.0115425216471\n",
- " ],\n",
- " [\n",
- " 14.483337068956956,\n",
- " 83.55979308678764\n",
- " ],\n",
- " [\n",
- " -20.79973248834736,\n",
- " 83.55979308678764\n",
- " ]\n",
- " ]\n",
- " ],\n",
- " \"type\": \"Polygon\"\n",
- " }\n",
- " }\n",
- " ]\n",
- "}\n",
- "\n",
- "r = httpx.post(\n",
- " f\"{titiler_endpoint}/statistics\",\n",
- " params=(\n",
- " (\"concept_id\", concept_id),\n",
- " # Datetime in form of `start_date/end_date`\n",
- " (\"datetime\", datetime_range),\n",
- " # titiler-cmr can work with both Zarr and COG dataset\n",
- " # but we need to tell the endpoints in advance which backend\n",
- " # to use\n",
- " (\"backend\", \"xarray\"),\n",
- " (\"variable\", variable),\n",
- " ),\n",
- " json=geojson_dict,\n",
- " timeout=60,\n",
- ").json()\n",
- "\n",
- "print(json.dumps(r, indent=2))"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.11.9"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/src/index.md b/docs/src/index.md
deleted file mode 120000
index fe84005..0000000
--- a/docs/src/index.md
+++ /dev/null
@@ -1 +0,0 @@
-../../README.md
\ No newline at end of file
diff --git a/docs/src/release-notes.md b/docs/src/release-notes.md
deleted file mode 120000
index 699cc9e..0000000
--- a/docs/src/release-notes.md
+++ /dev/null
@@ -1 +0,0 @@
-../../CHANGELOG.md
\ No newline at end of file
diff --git a/docs/titiler-cmr.png b/docs/titiler-cmr.png
new file mode 120000
index 0000000..40c0e2a
--- /dev/null
+++ b/docs/titiler-cmr.png
@@ -0,0 +1 @@
+../titiler-cmr.png
\ No newline at end of file
diff --git a/mkdocs.yml b/mkdocs.yml
new file mode 100644
index 0000000..0db31c6
--- /dev/null
+++ b/mkdocs.yml
@@ -0,0 +1,118 @@
+site_name: TiTiler.CMR
+site_description: Connect Common Metadata Repository (CMR) and TiTiler.
+
+docs_dir: 'docs'
+site_dir: 'build'
+
+repo_name: developmentseed/titiler-cmr
+repo_url: https://github.com/developmentseed/titiler-cmr
+site_url: https://developmentseed.org/titiler-cmr/
+site_author: Development Seed
+site_description: An API for creating image tiles from CMR queries
+
+extra:
+ social:
+ - icon: "fontawesome/brands/github"
+ link: "https://github.com/developmentseed"
+ - icon: "fontawesome/brands/bluesky"
+ link: "https://bsky.app/profile/developmentseed.org"
+ - icon: "fontawesome/brands/twitter"
+ link: "https://twitter.com/developmentseed"
+ - icon: "fontawesome/brands/linkedin"
+ link: "https://www.linkedin.com/company/development-seed"
+ version:
+ provider: mike
+
+nav:
+ - Home: index.md
+ - Examples:
+ - examples/xarray_backend_example.ipynb
+ - examples/rasterio_backend_example.ipynb
+ - examples/time_series_example.ipynb
+ - Development - Contributing: contributing.md
+ - Release notes: release-notes.md
+ - Performance Benchmarks: benchmark.html
+
+watch:
+ - titiler/cmr
+ - docs
+
+plugins:
+ - search
+ - mkdocs-jupyter:
+ include_source: True
+
+theme:
+ name: material
+ logo: assets/logo_no_text.png
+ palette:
+ # Palette toggle for automatic mode
+ - media: "(prefers-color-scheme)"
+ toggle:
+ icon: material/brightness-auto
+ name: Switch to light mode
+
+ # Palette toggle for light mode
+ - media: "(prefers-color-scheme: light)"
+ primary: default
+ accent: deep orange
+ toggle:
+ icon: material/brightness-7
+ name: Switch to dark mode
+
+ # Palette toggle for dark mode
+ - media: "(prefers-color-scheme: dark)"
+ scheme: slate
+ primary: default
+ accent: deep orange
+ toggle:
+ icon: material/brightness-4
+ name: Switch to system preference
+
+ font:
+ text: Roboto
+ code: Roboto Mono
+
+ features:
+ - content.code.annotate
+ - content.code.copy
+ - navigation.indexes
+ - navigation.instant
+ - navigation.tracking
+ - search.suggest
+ - search.share
+
+
+extra_css:
+ - overrides/stylesheets/extra.css
+
+# https://github.com/developmentseed/titiler/blob/50934c929cca2fa8d3c408d239015f8da429c6a8/docs/mkdocs.yml#L115-L140
+markdown_extensions:
+ - admonition
+ - attr_list
+ - codehilite:
+ guess_lang: false
+ - def_list
+ - footnotes
+ - md_in_html
+ - pymdownx.arithmatex
+ - pymdownx.betterem
+ - pymdownx.caret:
+ insert: false
+ - pymdownx.details
+ - pymdownx.emoji:
+ emoji_index: !!python/name:material.extensions.emoji.twemoji
+ emoji_generator: !!python/name:material.extensions.emoji.to_svg
+ - pymdownx.escapeall:
+ hardbreak: true
+ nbsp: true
+ - pymdownx.magiclink:
+ hide_protocol: true
+ repo_url_shortener: true
+ - pymdownx.smartsymbols
+ - pymdownx.superfences
+ - pymdownx.tasklist:
+ custom_checkbox: true
+ - pymdownx.tilde
+ - toc:
+ permalink: true
diff --git a/pyproject.toml b/pyproject.toml
index aa55426..3054cd5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,22 +48,26 @@ dynamic = ["version"]
uvicorn = [
"uvicorn",
]
+
+[dependency-groups]
dev = [
- "folium",
+ "folium>=0.17.0",
+ "freezegun>=1.5.1",
"jupyterlab>=4.2.5",
- "matplotlib",
- "pre-commit",
- "jupyterlab_code_formatter",
- "ruff>=0.8.0",
-]
-test = [
+ "jupyterlab-code-formatter>=3.0.2",
+ "matplotlib>=3.9.2",
+ "mkdocs-jupyter>=0.25.1",
+ "mkdocs>=1.6.1",
+ "pre-commit>=4.0.1",
"pytest>=8.3.3",
- "pytest-cov>=5.0.0",
"pytest-asyncio>=0.24.0",
+ "pytest-benchmark>=5.1.0",
+ "pytest-cov>=5.0.0",
"pytest-mock>=3.14.0",
"pytest-recording>=0.13.2",
- "freezegun>=1.5.1",
- "pytest-benchmark>=5.1.0",
+ "ruff>=0.8.0",
+ "mkdocs-material>=9.5.47",
+ "mike>=2.1.3",
]
[project.urls]
@@ -135,3 +139,4 @@ filterwarnings = [
markers = "vcr: records network activity"
addopts = "--benchmark-skip -Werror --cov=titiler.cmr --cov-report=term-missing --cov-report=xml"
+
diff --git a/uv.lock b/uv.lock
index 35b8f2b..771ae29 100644
--- a/uv.lock
+++ b/uv.lock
@@ -5,10 +5,8 @@ resolution-markers = [
"python_full_version < '3.11' and platform_python_implementation != 'PyPy'",
"python_full_version == '3.11.*' and platform_python_implementation == 'PyPy'",
"python_full_version == '3.11.*' and platform_python_implementation != 'PyPy'",
- "python_full_version == '3.12.*' and platform_python_implementation == 'PyPy'",
- "python_full_version == '3.12.*' and platform_python_implementation != 'PyPy'",
- "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'",
- "python_full_version >= '3.13' and platform_python_implementation != 'PyPy'",
+ "python_full_version >= '3.12' and platform_python_implementation == 'PyPy'",
+ "python_full_version >= '3.12' and platform_python_implementation != 'PyPy'",
]
[[package]]
@@ -37,16 +35,16 @@ wheels = [
[[package]]
name = "aiohappyeyeballs"
-version = "2.4.3"
+version = "2.4.4"
source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/bc/69/2f6d5a019bd02e920a3417689a89887b39ad1e350b562f9955693d900c40/aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", size = 21809 }
+sdist = { url = "https://files.pythonhosted.org/packages/7f/55/e4373e888fdacb15563ef6fa9fa8c8252476ea071e96fb46defac9f18bf2/aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", size = 21977 }
wheels = [
- { url = "https://files.pythonhosted.org/packages/f7/d8/120cd0fe3e8530df0539e71ba9683eade12cae103dd7543e50d15f737917/aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572", size = 14742 },
+ { url = "https://files.pythonhosted.org/packages/b9/74/fbb6559de3607b3300b9be3cc64e97548d55678e44623db17820dbd20002/aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8", size = 14756 },
]
[[package]]
name = "aiohttp"
-version = "3.10.10"
+version = "3.11.9"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@@ -55,70 +53,71 @@ dependencies = [
{ name = "attrs" },
{ name = "frozenlist" },
{ name = "multidict" },
+ { name = "propcache" },
{ name = "yarl" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/17/7e/16e57e6cf20eb62481a2f9ce8674328407187950ccc602ad07c685279141/aiohttp-3.10.10.tar.gz", hash = "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a", size = 7542993 }
-wheels = [
- { url = "https://files.pythonhosted.org/packages/3d/dd/3d40c0e67e79c5c42671e3e268742f1ff96c6573ca43823563d01abd9475/aiohttp-3.10.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be7443669ae9c016b71f402e43208e13ddf00912f47f623ee5994e12fc7d4b3f", size = 586969 },
- { url = "https://files.pythonhosted.org/packages/75/64/8de41b5555e5b43ef6d4ed1261891d33fe45ecc6cb62875bfafb90b9ab93/aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b06b7843929e41a94ea09eb1ce3927865387e3e23ebe108e0d0d09b08d25be9", size = 399367 },
- { url = "https://files.pythonhosted.org/packages/96/36/27bd62ea7ce43906d1443a73691823fc82ffb8fa03276b0e2f7e1037c286/aiohttp-3.10.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:333cf6cf8e65f6a1e06e9eb3e643a0c515bb850d470902274239fea02033e9a8", size = 390720 },
- { url = "https://files.pythonhosted.org/packages/e8/4d/d516b050d811ce0dd26325c383013c104ffa8b58bd361b82e52833f68e78/aiohttp-3.10.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:274cfa632350225ce3fdeb318c23b4a10ec25c0e2c880eff951a3842cf358ac1", size = 1228820 },
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