From 7889de49c27a092c27cdabf9f994a2f4731863bc Mon Sep 17 00:00:00 2001 From: Bridget Hass <101811216+bhass-neon@users.noreply.github.com> Date: Tue, 13 Aug 2024 10:36:25 -0600 Subject: [PATCH] minor text updates --- tutorials/Other/GEE/gee-2023/1a_intro_aop_gee.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorials/Other/GEE/gee-2023/1a_intro_aop_gee.md b/tutorials/Other/GEE/gee-2023/1a_intro_aop_gee.md index f817b17e..b16f13e4 100644 --- a/tutorials/Other/GEE/gee-2023/1a_intro_aop_gee.md +++ b/tutorials/Other/GEE/gee-2023/1a_intro_aop_gee.md @@ -20,7 +20,7 @@ urlTitle: intro-aop-gee-image-collections Google Earth Engine (GEE) is a free and powerful cloud-computing platform for carrying out remote sensing and geospatial data analysis. In this tutorial, we introduce you to the NEON AOP datasets, which as of Summer 2024 are being added to Google Earth Engine as publicly available datasets. NEON is planning to add the full archive of AOP L3 Surface Bidirectional Reflectance, LiDAR Elevation, Ecosystem Structure, and High-resolution orthorectified camera imagery. Since the L3 Surface Directional Reflectance is being replaced by the Bidirectional reflectance as that becomes available, we are only adding this data upon request. Please see the tutorial Introduction to Bidirectional Hyperspectral Reflectance Data in Python for more information on the differences between the directional and bidirectional reflectance data products. -There is not currently have a time estimate for when all of the AOP data will be added to GEE, but we will be ramping up data additions in the second half of 2024. If you wish to add a given NEON site and year(s) in Google Earth Engine, use the NEON Contact Us form to request this, and include "Google Earth Engine" in the text. Please stay tuned for a NEON Data Notification in Fall 2024 which will officially announce the plan for adding AOP data to the Google Earth Engine public datasets. +There is not currently a concrete time estimate for when the full archive of AOP data will be added to GEE, but we will be ramping up data additions in the second half of 2024. If you wish to add a given NEON site and year(s) in Google Earth Engine, use the NEON Contact Us form to request this, and include "Google Earth Engine" in the text. Please stay tuned for a NEON Data Notification in Fall 2024 which will officially announce the plan for adding AOP data to the Google Earth Engine public datasets.
@@ -51,7 +51,7 @@ If this is your first time using GEE, we recommend starting on the Google Develo AOP has currently added a subset of AOP Level 3 (tiled) data products at over 10 NEON sites spanning 9 years (as of July 2023) on GEE. This data has been converted to Cloud Optimized GeoTIFF (COG) format. NEON L3 lidar and derived spectral indices are available in geotiff raster format, so are relatively straightforward to add to GEE, however the hyperspectral data is available in hdf5 (hierarchical data) format, and have been converted to the COG format prior to being added to GEE. -The NEON data products that have been made available on GEE can be currently be accessed through the `projects/neon-prod-earthengine` folder with an appended suffix of the Data Product ID, matching the IDs on the NEON Data Portal. The table below summarizes the IDs to use for each data product, and can be used as a reference for reading in AOP GEE datasets. You will learn how to access and read in these data products in the next part of this lesson. +The NEON data products that have been made available on GEE can be currently be accessed through the `projects/neon-prod-earthengine` folder with an appended suffix of the Acronym and Revision Number, shown in the table below. For example, the Surface Directional Reflectance can be found under the path `projects/neon-prod-earthengine/assets/HSI_REFL/001`. The table below summarizes the Acronyms and Revisions for each data product, and can be used as a reference for reading in AOP GEE datasets. You will learn how to access and read in these data products in the next part of this lesson. | Acronym | Revision | Data Product | Data Product ID | |---------|----------|-------------------|-----------------|