1 to 9 of 9 Results
Jul 24, 2023 -
Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]
Comma Separated Values - 1.7 MB -
MD5: 2059b5ada7e507f6a7148a75118b19a6
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Jul 24, 2023 -
Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]
Comma Separated Values - 95.8 KB -
MD5: e7610e57ac4f1415f3d11a64963c8181
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Jul 24, 2023 -
Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]
Comma Separated Values - 7.7 MB -
MD5: 923572a230d9fd56a22c4db0c40c8c86
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Jul 24, 2023 -
Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]
Comma Separated Values - 3.4 MB -
MD5: a241c5fa94335ceb6bb16b6eba3528ec
|
JSON - 312 B -
MD5: a5835047e1a69987e02599d7fc1821c6
Filter pipeline for segments of class "paddy field". |
JSON - 300 B -
MD5: 1fe264da9d9691837fb718f99cf96803
Filter pipeline for segments of class "slope" and "ridge". |
JSON - 563 B -
MD5: 5f845e8634511fea8aa1cde9d3ad288f
Filter pipeline for segments of class "valley". |
GeoJSON - 18.4 KB -
MD5: cb34ffb4e3214f613330c72a9093c120
Segmentation of the sample area with segment classes and the adapted filter pipelines assigned. |
GeoJSON - 26.4 KB -
MD5: f352d25ba4ca4139a94d478d0fdfa6a5
Input data: Segmentation of the sample area with segment classes but without filter pipelines assigned. |