Datasets:

MapSpaceORNL
/

asia-landuse-11class-v1

id string	global_row int64	global_col int64	ls23_country string	geom unknown	agricultural float32	commercial float32	education float32	industrial float32	institutional float32	military float32	open_space float32	recreation float32	residential float32	retail float32	transportation float32	landuse_label string	landuse_probability float32	confidence_level string	prediction_entropy float32	label_source string
6583_29140	6,583	29,140	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 248, 239, 125, 151, 153, 105, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 181, 238, 142, 168, 170, 106, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 181, 238, 142, 168, 170, 106, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29141	6,583	29,141	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 181, 238, 142, 168, 170, 106, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 113, 237, 159, 185, 187, 107, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 113, 237, 159, 185, 187, 107, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29142	6,583	29,142	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 113, 237, 159, 185, 187, 107, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 50, 236, 176, 202, 204, 108, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 50, 236, 176, 202, 204, 108, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29143	6,583	29,143	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 50, 236, 176, 202, 204, 108, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 237, 234, 193, 219, 221, 109, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 237, 234, 193, 219, 221, 109, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29144	6,583	29,144	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 237, 234, 193, 219, 221, 109, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 173, 233, 210, 236, 238, 110, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 173, 233, 210, 236, 238, 110, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29145	6,583	29,145	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 173, 233, 210, 236, 238, 110, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 104, 232, 227, 253, 255, 111, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 104, 232, 227, 253, 255, 111, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29146	6,583	29,146	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 104, 232, 227, 253, 255, 111, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 40, 231, 244, 14, 17, 113, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 40, 231, 244, 14, 17, 113, 79, 64,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29147	6,583	29,147	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 40, 231, 244, 14, 17, 113, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 231, 229, 5, 32, 34, 114, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 231, 229, 5, 32, 34, 114, 79, 64, 20...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29148	6,583	29,148	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 231, 229, 5, 32, 34, 114, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 163, 228, 22, 49, 51, 115, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 163, 228, 22, 49, 51, 115, 79, 64, 2...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29149	6,583	29,149	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 163, 228, 22, 49, 51, 115, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 98, 227, 39, 66, 68, 116, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 98, 227, 39, 66, 68, 116, 79, 64, 20...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29150	6,583	29,150	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 98, 227, 39, 66, 68, 116, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 31, 226, 56, 83, 85, 117, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 31, 226, 56, 83, 85, 117, 79, 64, 202...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29151	6,583	29,151	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 31, 226, 56, 83, 85, 117, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 221, 224, 73, 100, 102, 118, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 221, 224, 73, 100, 102, 118, 79, 64,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29152	6,583	29,152	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 221, 224, 73, 100, 102, 118, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 156, 223, 90, 117, 119, 119, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 156, 223, 90, 117, 119, 119, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29153	6,583	29,153	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 156, 223, 90, 117, 119, 119, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 90, 222, 107, 134, 136, 120, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 90, 222, 107, 134, 136, 120, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29154	6,583	29,154	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 90, 222, 107, 134, 136, 120, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 23, 221, 124, 151, 153, 121, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 23, 221, 124, 151, 153, 121, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29155	6,583	29,155	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 23, 221, 124, 151, 153, 121, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 210, 219, 141, 168, 170, 122, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 210, 219, 141, 168, 170, 122, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29156	6,583	29,156	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 210, 219, 141, 168, 170, 122, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 146, 218, 158, 185, 187, 123, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 146, 218, 158, 185, 187, 123, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29157	6,583	29,157	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 146, 218, 158, 185, 187, 123, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 80, 217, 175, 202, 204, 124, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 80, 217, 175, 202, 204, 124, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29158	6,583	29,158	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 80, 217, 175, 202, 204, 124, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 13, 216, 192, 219, 221, 125, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 13, 216, 192, 219, 221, 125, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29159	6,583	29,159	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 13, 216, 192, 219, 221, 125, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 204, 214, 209, 236, 238, 126, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 204, 214, 209, 236, 238, 126, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29160	6,583	29,160	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 204, 214, 209, 236, 238, 126, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 136, 213, 226, 253, 255, 127, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 136, 213, 226, 253, 255, 127, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29161	6,583	29,161	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 136, 213, 226, 253, 255, 127, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 71, 212, 243, 14, 17, 129, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 71, 212, 243, 14, 17, 129, 79, 64,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29162	6,583	29,162	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 71, 212, 243, 14, 17, 129, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 4, 211, 4, 32, 34, 130, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 4, 211, 4, 32, 34, 130, 79, 64, 202, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29163	6,583	29,163	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 4, 211, 4, 32, 34, 130, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 196, 209, 21, 49, 51, 131, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 196, 209, 21, 49, 51, 131, 79, 64, 202...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29164	6,583	29,164	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 196, 209, 21, 49, 51, 131, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 129, 208, 38, 66, 68, 132, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 129, 208, 38, 66, 68, 132, 79, 64, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29165	6,583	29,165	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 129, 208, 38, 66, 68, 132, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 63, 207, 55, 83, 85, 133, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 63, 207, 55, 83, 85, 133, 79, 64, 20...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29166	6,583	29,166	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 63, 207, 55, 83, 85, 133, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 252, 205, 72, 100, 102, 134, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 252, 205, 72, 100, 102, 134, 79, 64,...	0.647185	0.001974	0.001597	0.056501	0.004016	0.009974	0.083061	0.002301	0.184089	0.00883	0.000471	agricultural	0.647185	medium	1.112216	model_prediction
6583_29167	6,583	29,167	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 252, 205, 72, 100, 102, 134, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 186, 204, 89, 117, 119, 135, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 186, 204, 89, 117, 119, 135, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29168	6,583	29,168	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 186, 204, 89, 117, 119, 135, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 119, 203, 106, 134, 136, 136, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 119, 203, 106, 134, 136, 136, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29169	6,583	29,169	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 119, 203, 106, 134, 136, 136, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 53, 202, 123, 151, 153, 137, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 53, 202, 123, 151, 153, 137, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29170	6,583	29,170	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 53, 202, 123, 151, 153, 137, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 242, 200, 140, 168, 170, 138, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 242, 200, 140, 168, 170, 138, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29171	6,583	29,171	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 242, 200, 140, 168, 170, 138, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 178, 199, 157, 185, 187, 139, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 178, 199, 157, 185, 187, 139, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29172	6,583	29,172	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 178, 199, 157, 185, 187, 139, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 109, 198, 174, 202, 204, 140, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 109, 198, 174, 202, 204, 140, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29173	6,583	29,173	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 109, 198, 174, 202, 204, 140, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 46, 197, 191, 219, 221, 141, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 46, 197, 191, 219, 221, 141, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29174	6,583	29,174	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 46, 197, 191, 219, 221, 141, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 234, 195, 208, 236, 238, 142, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 234, 195, 208, 236, 238, 142, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29175	6,583	29,175	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 234, 195, 208, 236, 238, 142, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 169, 194, 225, 253, 255, 143, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 169, 194, 225, 253, 255, 143, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29176	6,583	29,176	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 169, 194, 225, 253, 255, 143, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 103, 193, 242, 14, 17, 145, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 103, 193, 242, 14, 17, 145, 79, 6...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29177	6,583	29,177	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 103, 193, 242, 14, 17, 145, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 36, 192, 3, 32, 34, 146, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 36, 192, 3, 32, 34, 146, 79, 64, 202...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29178	6,583	29,178	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 36, 192, 3, 32, 34, 146, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 225, 190, 20, 49, 51, 147, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 225, 190, 20, 49, 51, 147, 79, 64, 20...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29179	6,583	29,179	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 225, 190, 20, 49, 51, 147, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 159, 189, 37, 66, 68, 148, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 159, 189, 37, 66, 68, 148, 79, 64, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29180	6,583	29,180	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 159, 189, 37, 66, 68, 148, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 92, 188, 54, 83, 85, 149, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 92, 188, 54, 83, 85, 149, 79, 64, 20...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29181	6,583	29,181	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 92, 188, 54, 83, 85, 149, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 28, 187, 71, 100, 102, 150, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 28, 187, 71, 100, 102, 150, 79, 64, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29182	6,583	29,182	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 28, 187, 71, 100, 102, 150, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 219, 185, 88, 117, 119, 151, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 219, 185, 88, 117, 119, 151, 79, 6...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29183	6,583	29,183	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 219, 185, 88, 117, 119, 151, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 152, 184, 105, 134, 136, 152, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 152, 184, 105, 134, 136, 152, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29184	6,583	29,184	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 152, 184, 105, 134, 136, 152, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 86, 183, 122, 151, 153, 153, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 86, 183, 122, 151, 153, 153, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29185	6,583	29,185	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 86, 183, 122, 151, 153, 153, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 19, 182, 139, 168, 170, 154, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 19, 182, 139, 168, 170, 154, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29186	6,583	29,186	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 19, 182, 139, 168, 170, 154, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 209, 180, 156, 185, 187, 155, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 209, 180, 156, 185, 187, 155, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29187	6,583	29,187	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 209, 180, 156, 185, 187, 155, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 142, 179, 173, 202, 204, 156, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 142, 179, 173, 202, 204, 156, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29188	6,583	29,188	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 142, 179, 173, 202, 204, 156, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 75, 178, 190, 219, 221, 157, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 75, 178, 190, 219, 221, 157, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29189	6,583	29,189	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 75, 178, 190, 219, 221, 157, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 11, 177, 207, 236, 238, 158, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 11, 177, 207, 236, 238, 158, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29190	6,583	29,190	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 11, 177, 207, 236, 238, 158, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 198, 175, 224, 253, 255, 159, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 198, 175, 224, 253, 255, 159, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29191	6,583	29,191	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 198, 175, 224, 253, 255, 159, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 134, 174, 241, 14, 17, 161, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 134, 174, 241, 14, 17, 161, 79, 6...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29192	6,583	29,192	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 134, 174, 241, 14, 17, 161, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 69, 173, 2, 32, 34, 162, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 69, 173, 2, 32, 34, 162, 79, 64, 202...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29193	6,583	29,193	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 69, 173, 2, 32, 34, 162, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 1, 172, 19, 49, 51, 163, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 1, 172, 19, 49, 51, 163, 79, 64, 202, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29194	6,583	29,194	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 1, 172, 19, 49, 51, 163, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 192, 170, 36, 66, 68, 164, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 192, 170, 36, 66, 68, 164, 79, 64, 20...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29195	6,583	29,195	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 192, 170, 36, 66, 68, 164, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 125, 169, 53, 83, 85, 165, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 125, 169, 53, 83, 85, 165, 79, 64, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29196	6,583	29,196	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 125, 169, 53, 83, 85, 165, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 59, 168, 70, 100, 102, 166, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 59, 168, 70, 100, 102, 166, 79, 64, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29197	6,583	29,197	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 59, 168, 70, 100, 102, 166, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 248, 166, 87, 117, 119, 167, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 248, 166, 87, 117, 119, 167, 79, 6...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29198	6,583	29,198	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 248, 166, 87, 117, 119, 167, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 184, 165, 104, 134, 136, 168, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 184, 165, 104, 134, 136, 168, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29199	6,583	29,199	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 184, 165, 104, 134, 136, 168, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 117, 164, 121, 151, 153, 169, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 117, 164, 121, 151, 153, 169, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29200	6,583	29,200	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 117, 164, 121, 151, 153, 169, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 48, 163, 138, 168, 170, 170, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 48, 163, 138, 168, 170, 170, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29201	6,583	29,201	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 48, 163, 138, 168, 170, 170, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 240, 161, 155, 185, 187, 171, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 240, 161, 155, 185, 187, 171, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29202	6,583	29,202	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 240, 161, 155, 185, 187, 171, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 174, 160, 172, 202, 204, 172, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 174, 160, 172, 202, 204, 172, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29203	6,583	29,203	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 174, 160, 172, 202, 204, 172, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 109, 159, 189, 219, 221, 173, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 109, 159, 189, 219, 221, 173, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29204	6,583	29,204	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 109, 159, 189, 219, 221, 173, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 42, 158, 206, 236, 238, 174, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 42, 158, 206, 236, 238, 174, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29205	6,583	29,205	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 42, 158, 206, 236, 238, 174, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 230, 156, 223, 253, 255, 175, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 230, 156, 223, 253, 255, 175, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29206	6,583	29,206	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 230, 156, 223, 253, 255, 175, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 165, 155, 240, 14, 17, 177, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 165, 155, 240, 14, 17, 177, 79, 6...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29207	6,583	29,207	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 165, 155, 240, 14, 17, 177, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 98, 154, 1, 32, 34, 178, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 98, 154, 1, 32, 34, 178, 79, 64, 202...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29208	6,583	29,208	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 98, 154, 1, 32, 34, 178, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 34, 153, 18, 49, 51, 179, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 34, 153, 18, 49, 51, 179, 79, 64, 202,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6583_29209	6,583	29,209	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 34, 153, 18, 49, 51, 179, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 221, 151, 35, 66, 68, 180, 79, 64, 137, 67, 5, 50, 51, 147, 65, 64, 221, 151, 35, 66, 68, 180, 79, 64, 2...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29131	6,582	29,131	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 75, 251, 228, 253, 255, 95, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 8, 250, 245, 14, 17, 97, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 8, 250, 245, 14, 17, 97, 79, 64, 137...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29132	6,582	29,132	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 8, 250, 245, 14, 17, 97, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 200, 248, 6, 32, 34, 98, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 200, 248, 6, 32, 34, 98, 79, 64, 137, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29133	6,582	29,133	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 200, 248, 6, 32, 34, 98, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 131, 247, 23, 49, 51, 99, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 131, 247, 23, 49, 51, 99, 79, 64, 137,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29134	6,582	29,134	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 131, 247, 23, 49, 51, 99, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 65, 246, 40, 66, 68, 100, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 65, 246, 40, 66, 68, 100, 79, 64, 137...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29135	6,582	29,135	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 65, 246, 40, 66, 68, 100, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 254, 244, 57, 83, 85, 101, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 254, 244, 57, 83, 85, 101, 79, 64, 1...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29136	6,582	29,136	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 254, 244, 57, 83, 85, 101, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 190, 243, 74, 100, 102, 102, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 190, 243, 74, 100, 102, 102, 79, 64...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29137	6,582	29,137	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 190, 243, 74, 100, 102, 102, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 125, 242, 91, 117, 119, 103, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 125, 242, 91, 117, 119, 103, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29138	6,582	29,138	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 125, 242, 91, 117, 119, 103, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 58, 241, 108, 134, 136, 104, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 58, 241, 108, 134, 136, 104, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29139	6,582	29,139	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 58, 241, 108, 134, 136, 104, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 248, 239, 125, 151, 153, 105, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 248, 239, 125, 151, 153, 105, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29140	6,582	29,140	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 248, 239, 125, 151, 153, 105, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 181, 238, 142, 168, 170, 106, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 181, 238, 142, 168, 170, 106, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29141	6,582	29,141	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 181, 238, 142, 168, 170, 106, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 113, 237, 159, 185, 187, 107, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 113, 237, 159, 185, 187, 107, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29142	6,582	29,142	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 113, 237, 159, 185, 187, 107, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 50, 236, 176, 202, 204, 108, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 50, 236, 176, 202, 204, 108, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29143	6,582	29,143	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 50, 236, 176, 202, 204, 108, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 237, 234, 193, 219, 221, 109, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 237, 234, 193, 219, 221, 109, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29144	6,582	29,144	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 237, 234, 193, 219, 221, 109, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 173, 233, 210, 236, 238, 110, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 173, 233, 210, 236, 238, 110, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29145	6,582	29,145	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 173, 233, 210, 236, 238, 110, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 104, 232, 227, 253, 255, 111, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 104, 232, 227, 253, 255, 111, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29146	6,582	29,146	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 104, 232, 227, 253, 255, 111, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 40, 231, 244, 14, 17, 113, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 40, 231, 244, 14, 17, 113, 79, 64,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29147	6,582	29,147	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 40, 231, 244, 14, 17, 113, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 231, 229, 5, 32, 34, 114, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 231, 229, 5, 32, 34, 114, 79, 64, 13...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29148	6,582	29,148	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 231, 229, 5, 32, 34, 114, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 163, 228, 22, 49, 51, 115, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 163, 228, 22, 49, 51, 115, 79, 64, 1...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29149	6,582	29,149	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 163, 228, 22, 49, 51, 115, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 98, 227, 39, 66, 68, 116, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 98, 227, 39, 66, 68, 116, 79, 64, 13...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29150	6,582	29,150	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 98, 227, 39, 66, 68, 116, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 31, 226, 56, 83, 85, 117, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 31, 226, 56, 83, 85, 117, 79, 64, 137...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29151	6,582	29,151	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 31, 226, 56, 83, 85, 117, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 221, 224, 73, 100, 102, 118, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 221, 224, 73, 100, 102, 118, 79, 64,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29152	6,582	29,152	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 221, 224, 73, 100, 102, 118, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 156, 223, 90, 117, 119, 119, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 156, 223, 90, 117, 119, 119, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29153	6,582	29,153	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 156, 223, 90, 117, 119, 119, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 90, 222, 107, 134, 136, 120, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 90, 222, 107, 134, 136, 120, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29154	6,582	29,154	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 90, 222, 107, 134, 136, 120, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 23, 221, 124, 151, 153, 121, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 23, 221, 124, 151, 153, 121, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29155	6,582	29,155	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 23, 221, 124, 151, 153, 121, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 210, 219, 141, 168, 170, 122, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 210, 219, 141, 168, 170, 122, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29156	6,582	29,156	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 210, 219, 141, 168, 170, 122, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 146, 218, 158, 185, 187, 123, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 146, 218, 158, 185, 187, 123, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29157	6,582	29,157	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 146, 218, 158, 185, 187, 123, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 80, 217, 175, 202, 204, 124, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 80, 217, 175, 202, 204, 124, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29158	6,582	29,158	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 80, 217, 175, 202, 204, 124, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 13, 216, 192, 219, 221, 125, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 13, 216, 192, 219, 221, 125, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29159	6,582	29,159	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 13, 216, 192, 219, 221, 125, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 204, 214, 209, 236, 238, 126, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 204, 214, 209, 236, 238, 126, 79, ...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback
6582_29160	6,582	29,160	Afghanistan	[ 1, 3, 0, 0, 0, 1, 0, 0, 0, 5, 0, 0, 0, 204, 214, 209, 236, 238, 126, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 136, 213, 226, 253, 255, 127, 79, 64, 71, 66, 22, 67, 68, 148, 65, 64, 136, 213, 226, 253, 255, 127, 79,...	0	0	0	0	0	0	1	0	0	0	0	open_space	1	high	0	no_feature_fallback

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MapSpace LSG 2026: Asia 11-Class Land Use

Dataset Details

This dataset contains POI-based land-use estimates for LandScan Global grid cells in Asia. It was generated and is shared by the Geospatial Science and Engineering Division at Oak Ridge National Laboratory.

Curated by: Geospatial Science and Engineering Division, Oak Ridge National Laboratory
Version: v1
License: CC BY 4.0
Geographic coverage: Asia
Spatial grid: 30 arc seconds (1/120 degree)
CRS: EPSG:4326
Format: GeoParquet, one country or territory per file
Files: 49
Rows: 43,050,140
Contact: mapspace@ornl.gov

Each row represents one grid cell and contains probabilities for 11 land-use classes, an argmax label, prediction diagnostics, and the cell geometry. These values are model outputs or a documented no-feature fallback; they are not ground-truth land-use observations.

This is an 11-class, 30-arc-second product. It is distinct from the earlier three-class MapSpace dataset cited under Related Work.

Dataset Structure

The repository root contains 49 GeoParquet files. The current schema is:

Column	Type	Description
`id`	string	Grid-cell identifier.
`global_row`	int64	Global LandScan grid row.
`global_col`	int64	Global LandScan grid column.
`ls23_country`	string	Country or territory attribute inherited from the LandScan grid.
`geom`	binary	Polygon or MultiPolygon encoded as GeoArrow/GeoParquet WKB in EPSG:4326.
`agricultural`	float32	Agricultural probability.
`commercial`	float32	Commercial probability.
`education`	float32	Education probability.
`industrial`	float32	Industrial probability.
`institutional`	float32	Institutional probability.
`military`	float32	Military probability.
`open_space`	float32	Open-space probability.
`recreation`	float32	Recreation probability.
`residential`	float32	Residential probability.
`retail`	float32	Retail probability.
`transportation`	float32	Transportation probability.
`landuse_label`	string	Class with the largest probability.
`landuse_probability`	float32	Largest class probability.
`confidence_level`	string	Probability bin: `high`, `medium`, `low`, or `mixed`.
`prediction_entropy`	float32	Natural-log entropy, `-sum(p * ln(p))`.
`label_source`	string	`model_prediction` or `no_feature_fallback`.

Class columns appear in the order shown above. Exact probability ties are resolved by that order.

Confidence levels are assigned from landuse_probability as follows:

high: at least 0.70
medium: at least 0.50 and below 0.70
low: at least 0.35 and below 0.50
mixed: below 0.35

Label provenance

`label_source`	Rows	Percent	Meaning
`model_prediction`	11,147,010	25.893%	Probabilities produced by the land-use model.
`no_feature_fallback`	31,903,130	74.107%	No POI/tag feature was available; release construction assigns a one-hot `open_space` vector.

no_feature_fallback does not mean that the model or an independent observation established that the cell is open space. Filter on label_source == "model_prediction" when analyses require model-derived labels only.

Source Data and Method

Inputs include OpenStreetMap and PlanetSense Program POI/feature tags joined to the LandScan Global grid. Training labels are derived from OpenStreetMap land-use, POI, and natural-feature polygons mapped to the 11 classes. The pipeline uses TF-IDF features and XGBoost multiclass probability models. Models are fitted by source area; areas without sufficient training data may use a donor model.

Exact snapshot dates for OpenStreetMap, PlanetSense, and LandScan inputs are not supplied in this release.

Uses

Potential direct uses include urban planning, transportation planning, population modeling, and disaster-risk assessment. Users should validate fitness for their geography and application before operational use.

This dataset should not be treated as parcel-level land use, legal zoning, surveyed ground truth, or a substitute for local authoritative data.

Bias, Risks, and Limitations

OpenStreetMap-derived training labels are weak labels and vary in completeness, positional accuracy, tagging practice, and class balance by geography.
Model performance can therefore vary across countries, regions, and classes. Sparse areas may depend on geographically transferred donor models.
POI and feature coverage is uneven. A large share of rows may use no_feature_fallback; these rows require separate interpretation.
The 30-arc-second grid is angular, not equal-area. East-west cell width decreases with latitude.
Independent input snapshots can create temporal mismatch.
A consolidated accuracy estimate for this regional release is not provided. Do not infer accuracy from landuse_probability or confidence_level alone.

License and Attribution

The dataset is released under the Creative Commons Attribution 4.0 International license. Attribute the Geospatial Science and Engineering Division at Oak Ridge National Laboratory and cite the repository used.

Citation

No DOI has been assigned to this v1 regional release. A suggested citation is:

@dataset{mapspace_lsg_2026_asia,
  author    = {{Geospatial Science and Engineering Division, Oak Ridge National Laboratory}},
  title     = {{MapSpace LSG 2026: Asia 11-Class Land Use}},
  year      = {2026},
  version   = {v1},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/MapSpaceORNL/asia-landuse-11class-v1}
}

Related Work

The following references describe prior MapSpace datasets and methods; the 2024 DOI refers to the earlier three-class dataset, not this release.

Fan, Junchuan, and Gautam Thakur. (2024). Three-class Global POI-based land use map. Dataset. https://doi.org/10.17605/OSF.IO/395ZF
Fan, J., and Thakur, G. (2023). “Towards POI-based large-scale land use modeling: spatial scale, semantic granularity and geographic context.” International Journal of Digital Earth, 16(1), 430–445.
Thakur, G., and Fan, J. (2021). “MapSpace: POI-based Multi-Scale Global Land Use Modeling.” GIScience Conference 2021.

Contact

mapspace@ornl.gov

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