1 to 10 of 159 Results
Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Unknown - 805 B -
MD5: 46cfa05b34571946345e5efbc9f4c61f
|
GeoJSON - 68.5 MB -
MD5: 9ae93c1aac794d9e1a9e0f7d43080ee8
manually labelled water tank used for training and testing the water tank detection model for Rio de Janeiro |
ZIP Archive - 266.8 MB -
MD5: ed33e5b8f5d600dba36e0f98eaa00b8b
water tank detection model SSST_50 |
TIFF Image - 259.8 KB -
MD5: 332a4da6142c5a40f4a4c6a56a21fddf
200m water tank count above 90 percent confidence score in raster format with georeferenzed units |
Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 50.6 MB -
MD5: a701c0de83d23342cb8e94fe93b3a39a
|
Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 45.1 MB -
MD5: 400187657ca4b17eed6e25b7abc9877f
|
Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 47.3 MB -
MD5: 28fd5c5939d975822b98dd6cb23ef346
|
Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 47.3 MB -
MD5: f64b58b4563d5240943f22b10bdf7c5b
|
Dec 15, 2020 -
Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Tabular Data - 40.5 KB - 9 Variables, 525 Observations - UNF:6:0ghc/0HLml6GXu5ZVMmWqw==
|
Oct 12, 2021 -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Unknown - 1.6 MB -
MD5: adb2a1c6343962943cd936b93014f8b0
|