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This repository was archived by the owner on May 23, 2024. It is now read-only.
Add authorization support for NASA LPDAAC HTTP servers (fix#4); removing the locals() (fix#1); fix for Google Earth Engine support (fix#5); add more information about GEE service accounts (fix#3)
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@@ -28,6 +28,7 @@ Please make sure that the command-line tools are within the System path. Otherwi
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*Further requirements:*
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For MODIS HDF data processing, HDF4 image format has to be available for gdal command-line tools.
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Using the original data source for MODIS Land Products (LPDAAC), user login information from NASA Earthdata are required (see item 'userPwd' in task dictionary).
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Usage
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@@ -43,7 +44,8 @@ Usage
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'format': 'HDF4Image',
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'EPSG': None,
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'resample': None,
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'source': 'LPDAAC'
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'source': 'LPDAAC',
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'userPwd': 'username:password'
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})
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output = ingest.start()
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@@ -66,17 +68,20 @@ Available datasets
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* MODIS Thermal Anomalies & Fire: MCD45A1
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Further information to the datasets can be found at the following sites:
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* NASA LPDAAC: http://lpdaac.usgs.gov/products/modis_products_table
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* NASA LPDAAC: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table
Several MODIS and especially Landsat datasets are also available using Google Earth Engine.
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Google Earth Engine
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If you have an account for the Google Earth Engine (https://earthengine.google.org), you can also use the Python bindings to have access to specific MODIS products and Landsat datasets.
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If you have an account for the Google Earth Engine (https://earthengine.google.org), you can also use the Python bindings to have access to specific MODIS products and Landsat datasets. To install the earthengine Python API see the following documentation:
Please set the variables MY_SERVICE_ACCOUNT and MY_PRIVATE_KEY_FILE in gee_init.py to your service account username and the private key file.
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Please set the variables MY_SERVICE_ACCOUNT and MY_PRIVATE_KEY_FILE in gee_init.py to your service account username and the private key file. Therefore you need a service account that needs to be whitelisted first by the Google Earth Engine team. Please see the following documentation for more information:
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