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{ | ||
"configurations": [ | ||
{ | ||
"name": "Disaster Tracking", | ||
"type": "debugpy", | ||
"request": "launch", | ||
"program": "${workspaceFolder}/sentinel_scraper.py", | ||
"console": "integratedTerminal", | ||
"args": [ | ||
"--case-study-name=disaster", | ||
"--tracer-id=potato", | ||
"--job-id=2", | ||
"--start_date=2024-09-15T09:00", | ||
"--end_date=2024-09-15T12:00", | ||
"--interval=60", | ||
"--long_left=-156.708984", | ||
"--lat_up=20.759645", | ||
"--long_right=-156.299744", | ||
"--lat_down=20.955027", | ||
"--log-level=INFO", | ||
"--kp_auth_token=test123", "--kp_host=localhost", "--kp_port=8000", "--kp_scheme=http", | ||
"--sentinel_client_id=e2397fbb-0fb6-4742-9cba-c142ad44f617", "--sentinel_client_secret=DD6XKTPeDz4juiLWtItNGPofztG9frc3", | ||
"--evalscript_bands_path=https://gist.githubusercontent.com/Rahul-7131/b02d5614401ba654904ff509039def15/raw/3867e78b12bf7d7dff44810c548ed20797b367ea/wildfire_evalscript.js", | ||
"--evalscript_truecolor_path=https://gist.githubusercontent.com/Rahul-7131/b02d5614401ba654904ff509039def15/raw/3867e78b12bf7d7dff44810c548ed20797b367ea/truecolor_wildfire.js", | ||
] | ||
}, | ||
{ | ||
"name": "Climate Monitoring", | ||
"type": "debugpy", | ||
"request": "launch", | ||
"program": "${workspaceFolder}/sentinel_scraper.py", | ||
"console": "integratedTerminal", | ||
"args": [ | ||
"--case-study-name=climate", | ||
"--tracer-id=potato", | ||
"--job-id=4", | ||
"--start_date=2024-09-15T09:00", | ||
"--end_date=2024-09-15T12:00", | ||
"--interval=60", | ||
"--long_left=-156.708984", | ||
"--datasets-evalscripts={\"SENTINEL5P\": [\"climate-bands\", \"climate-mask\"], \"SENTINEL2-L1C\": [\"true-color\"]}", | ||
"--lat_up=20.759645", | ||
"--long_right=-156.299744", | ||
"--lat_down=20.955027", | ||
"--log-level=INFO", | ||
"--kp_auth_token=test123", "--kp_host=localhost", "--kp_port=8000", "--kp_scheme=http", | ||
"--sentinel_client_id=e2397fbb-0fb6-4742-9cba-c142ad44f617", "--sentinel_client_secret=DD6XKTPeDz4juiLWtItNGPofztG9frc3", | ||
] | ||
}, | ||
{ | ||
"name": "Climate Augmentation", | ||
"type": "debugpy", | ||
"request": "launch", | ||
"program": "${workspaceFolder}/climate_augmentation.py", | ||
"console": "integratedTerminal", | ||
"args": [ | ||
"--case-study-name=climate", | ||
"--tracer-id=potato", | ||
"--job-id=4", | ||
"--long_left=-156.708984", | ||
"--datasets-evalscripts={\"SENTINEL5P\": [\"climate-bands\", \"climate-mask\"], \"SENTINEL2-L1C\": [\"true-color\"]}", | ||
"--lat_up=20.759645", | ||
"--long_right=-156.299744", | ||
"--lat_down=20.955027", | ||
"--log-level=INFO", | ||
"--kp_auth_token=test123", "--kp_host=localhost", "--kp_port=8000", "--kp_scheme=http", | ||
] | ||
}, | ||
{ | ||
"name": "Sentinel-5P Scraping", | ||
"type": "debugpy", | ||
"request": "launch", | ||
"program": "${workspaceFolder}/sentinel_scraper.py", | ||
"console": "integratedTerminal", | ||
"args": [ | ||
"--case-study-name=sentinel-5p", | ||
"--tracer-id=potato", | ||
"--job-id=3", | ||
"--start_date=2024-09-15T09:00", | ||
"--end_date=2024-09-15T12:00", | ||
"--interval=60", | ||
"--long_left=-156.708984", | ||
"--datasets-evalscripts={\"SENTINEL5P\": [\"climate-bands\", \"climate-mask\"], \"SENTINEL2-L1C\": [\"true-color\"]}", | ||
"--lat_up=20.759645", | ||
"--long_right=-156.299744", | ||
"--lat_down=20.955027", | ||
"--log-level=INFO", | ||
"--kp_auth_token=test123", "--kp_host=localhost", "--kp_port=8000", "--kp_scheme=http", | ||
"--sentinel_client_id=e2397fbb-0fb6-4742-9cba-c142ad44f617", "--sentinel_client_secret=DD6XKTPeDz4juiLWtItNGPofztG9frc3", | ||
] | ||
}, | ||
{ | ||
"name": "Sentinel-5P Augmentation", | ||
"type": "debugpy", | ||
"request": "launch", | ||
"program": "${workspaceFolder}/climate_augmentation.py", | ||
"console": "integratedTerminal", | ||
"args": [ | ||
"--case-study-name=sentinel-5p", | ||
"--tracer-id=potato", | ||
"--job-id=3", | ||
"--long_left=-156.708984", | ||
"--datasets-evalscripts={\"SENTINEL5P\": [\"climate-bands\", \"climate-mask\"], \"SENTINEL2-L1C\": [\"true-color\"]}", | ||
"--lat_up=20.759645", | ||
"--long_right=-156.299744", | ||
"--lat_down=20.955027", | ||
"--log-level=INFO", | ||
"--kp_auth_token=test123", "--kp_host=localhost", "--kp_port=8000", "--kp_scheme=http", | ||
] | ||
}, | ||
{ | ||
"name": "Sentinel-5P Time Travel", | ||
"type": "debugpy", | ||
"request": "launch", | ||
"program": "${workspaceFolder}/sentinel_5p_time_travel.py", | ||
"console": "integratedTerminal", | ||
"args": [ | ||
"--tracer-id=potato", | ||
"--job-id=3", | ||
"--long_left=-156.708984", | ||
"--datasets-evalscripts={\"SENTINEL5P\": [\"climate-bands\", \"climate-mask\"], \"SENTINEL2-L1C\": [\"true-color\"]}", | ||
"--lat_up=20.759645", | ||
"--long_right=-156.299744", | ||
"--lat_down=20.955027", | ||
"--log-level=INFO", | ||
"--kp_auth_token=test123", "--kp_host=localhost", "--kp_port=8000", "--kp_scheme=http", | ||
] | ||
}, | ||
|
||
] | ||
} |
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from sentinelhub import DataCollection | ||
SUPPORTED_DATASET_EVALSCRIPTS = { | ||
"SENTINEL2-L1C": { | ||
"sentinel_sdk_obj": DataCollection.SENTINEL2_L1C, | ||
"supported_evalscripts": [ | ||
{ | ||
"name": "true-color", | ||
"path": "https://gist.githubusercontent.com/Rahul-7131/b02d5614401ba654904ff509039def15/raw/3867e78b12bf7d7dff44810c548ed20797b367ea/truecolor_wildfire.js", | ||
"scaling_factor": 1.5, | ||
"clip_range": { | ||
"min": 0, | ||
"max": 1 | ||
}, | ||
"description": "A Sentinel-2 image highlighting areas of interest based on water, vegetation, and spectral thresholds in true color. Bands: B04, B03, B02, B08, B11, B12" | ||
} | ||
] | ||
}, | ||
"SENTINEL5P": { | ||
"sentinel_sdk_obj": DataCollection.SENTINEL5P, | ||
"supported_evalscripts": [ | ||
{ | ||
"name": "climate-bands", | ||
"path": "https://gist.githubusercontent.com/Rahul-7131/b02d5614401ba654904ff509039def15/raw/5c8894fe017e42c594a2fb755d10d57602049ec5/climate_evalscript.js", | ||
"scaling_factor": 1.5, | ||
"clip_range": { | ||
"min": 0, | ||
"max": 1 | ||
}, | ||
"description": "Carbon monoxide (CO) concentrations using a color ramp from low (blue) to high (red) and processes the image into a grid to determine dominant CO concentrations per grid cell." | ||
}, | ||
{ | ||
"name": "climate-mask", | ||
"path": "https://gist.githubusercontent.com/Rahul-7131/b02d5614401ba654904ff509039def15/raw/5c8894fe017e42c594a2fb755d10d57602049ec5/climate_evalscript.js", | ||
"scaling_factor": 255, | ||
"clip_range": { | ||
"min": 0, | ||
"max": 1 | ||
}, | ||
"description": "A mask of the carbon monoxide (CO) concentrations in the image. The mask is created by thresholding the CO concentrations in the image." | ||
}, | ||
{ | ||
"name": "fire-bands", | ||
"path": "https://gist.githubusercontent.com/Rahul-7131/b02d5614401ba654904ff509039def15/raw/3867e78b12bf7d7dff44810c548ed20797b367ea/wildfire_evalscript.js", | ||
"scaling_factor": 1.5, | ||
"clip_range": { | ||
"min": 0, | ||
"max": 1 | ||
}, | ||
"description": "Sentinel-2 image focussed on detection of wildfires, highlighting areas of interest based on vegetation (NDVI), water content (NDWI), and spectral thresholds in enhanced true color" | ||
}, | ||
{ | ||
"name": "fire-mask", | ||
"path": "https://gist.githubusercontent.com/Rahul-7131/b02d5614401ba654904ff509039def15/raw/5c8894fe017e42c594a2fb755d10d57602049ec5/climate_evalscript.js", | ||
"scaling_factor": 255, | ||
"clip_range": { | ||
"min": 0, | ||
"max": 1 | ||
}, | ||
"description": "A mask of the wildfire areas in the image. The mask is created by thresholding the NDVI and NDWI values in the image." | ||
}, | ||
] | ||
}, | ||
# Add more datasets as needed | ||
} |
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