1 to 10 of 129 Results
TIFF Image - 259.8 KB -
MD5: 332a4da6142c5a40f4a4c6a56a21fddf
200m water tank count above 90 percent confidence score in raster format with georeferenzed units |
ZIP Archive - 266.8 MB -
MD5: ed33e5b8f5d600dba36e0f98eaa00b8b
water tank detection model SSST_50 |
GeoJSON - 68.5 MB -
MD5: 9ae93c1aac794d9e1a9e0f7d43080ee8
manually labelled water tank used for training and testing the water tank detection model for Rio de Janeiro |
Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Unknown - 32.2 MB -
MD5: 8a0d55206d6b724768911ce89bf1bd96
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Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Unknown - 11.7 MB -
MD5: bee0f0858b3ff926f632324e26fea1da
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Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 59.6 MB -
MD5: 8adf83b7c656e0f26b77e5f8ce621b04
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Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Unknown - 802 B -
MD5: bcb128b46bb2c9a52c9e5628bf405dc2
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Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Adobe PDF - 1.1 MB -
MD5: fbef9b5bd4f10c630b4201a182f4fedf
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Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Adobe PDF - 21.0 MB -
MD5: 180080616b4fb0e76beeef6501c30bfc
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Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Adobe PDF - 3.0 MB -
MD5: f4e1c7d0cbbf42283407ae7e72e80516
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