Sector-based models, 8
Sediment delivery model (SEDEM), 12, 13
Senoshita Station, 233, 234, 238
Shallow landslide risk, 221–238
Shape, 40, 75, 224, 283, 291, 294, 297–298
The Shiretoko Peninsula, 139–145, 151, 153
Shuttle Rader Topography Mission (SRTM),
203, 208
Significance level, 102
Simulation, 8, 9, 11–14, 18, 19, 22–25, 27, 29,
155–167, 223, 226, 230, 234, 236, 238,
293–294
Single layer, 141, 142, 144, 147, 153, 228
Size, 12, 13, 49, 50, 54, 71, 76, 89, 91, 94, 97,
98, 114, 115, 128, 131, 139, 142, 157,
174, 179, 181, 215, 224, 234, 268, 269,
273, 283, 289, 291, 294, 297–298
Slant-range, 286–288
Sliver, 94
Slope degree, 143, 148, 153
Slope, Land use, Exclusion, Urban extent,
Transportation, Hillshade model
(SLEUTH), 7
Slope stable model, 228
Smart grid, 245
Snow, 20, 177, 178, 180, 181, 185, 187, 193
Soil degradation, 12
Soil Water Assessment Tool (SWAT), 20,
115–117, 222, 285–287, 301, 302,
305–308, 311–313
Soil water content (SWC), 302–308, 310–313
Son La Reservoir, 202
Spaceborne SAR data, 288, 294
Spatial distribution of CO 2 emissions, 256,
257, 259
Spatially disaggregate models, 8
Spatially explicit land-use model, 249–250, 259
Spatial randomization test, 214–217
Speckle reduction, 289–291
Spot, 39, 45, 65, 161–165, 282
SRTM. See Shuttle Rader Topography Mission
(SRTM)
Statistical regression models, 5–6, 11, 13
Stream flow, 17–32, 226
Sub-basins, 20, 22, 234
Supply-demand balance, 250
Support vector machines, 74, 265–277
Supraglacial, 174, 175, 181–185, 188–191,
193–195
Surface, 4, 13, 20, 31, 38, 39, 42, 65, 66, 70, 74,
82, 114–116, 118, 138, 140, 141, 156,
174, 175, 178–183, 187, 188, 190–195,
204, 222, 225, 227–230, 238, 265,
266, 273, 282, 283, 285–287, 295–297,
305, 312
elevation, 175, 181–182, 184–187,
190–194
runoff, 19, 28, 29, 31, 32, 227
SWAT. See Soil Water Assessment Tool
(SWAT)
T
Temperature, 18, 19, 23, 25, 28, 31, 174, 175,
177, 191, 243, 252, 304
Temporal analysis, 77
Terminus, 176, 185, 188, 191, 193
Texture, 55, 59, 75, 118, 120, 122–126, 134,
149–151, 153, 179, 181, 193, 269, 283,
291, 294, 296–297
Texturing, 52
Thac Ba reservoir, 201
Thanh Hoa, 201, 202, 205
Thao River, 201
Thematic accuracy assessment, 273, 276
Three dimensional vegetation structure, 140,
141, 145, 153
Time series, 7, 23, 56, 57, 60, 82, 94, 107,
175, 178
TM. See Landsat Thematic Mapper (TM)
Tokyo metropolitan area, 244, 245, 252–257
Tone, 75, 118, 127, 163, 283, 294–297
Topology, 94, 206, 212, 214
Trade-off, 243, 245, 259, 285
Training sample quality, 82, 83, 268
Training sample size, 269, 273
Transport area, 101, 102
Trend analysis, 19, 24, 25
T-statistical, 102
Tsunami, 243, 244, 255, 260
Tuyen Quang reservoir, 202
Typhoon, 200–203, 208, 210, 211, 222,
237, 243
U
Uncertainty, 10, 29–30, 157, 166, 167, 226,
288
United Nations University Institute for the
Advanced Study of Sustainability
(UNU-IAS), 238
Unweighted pair-group method using
arithmetic averages (UPGMA), 206,
212–214, 217
Index
319
Sediment delivery model (SEDEM), 12, 13
Senoshita Station, 233, 234, 238
Shallow landslide risk, 221–238
Shape, 40, 75, 224, 283, 291, 294, 297–298
The Shiretoko Peninsula, 139–145, 151, 153
Shuttle Rader Topography Mission (SRTM),
203, 208
Significance level, 102
Simulation, 8, 9, 11–14, 18, 19, 22–25, 27, 29,
155–167, 223, 226, 230, 234, 236, 238,
293–294
Single layer, 141, 142, 144, 147, 153, 228
Size, 12, 13, 49, 50, 54, 71, 76, 89, 91, 94, 97,
98, 114, 115, 128, 131, 139, 142, 157,
174, 179, 181, 215, 224, 234, 268, 269,
273, 283, 289, 291, 294, 297–298
Slant-range, 286–288
Sliver, 94
Slope degree, 143, 148, 153
Slope, Land use, Exclusion, Urban extent,
Transportation, Hillshade model
(SLEUTH), 7
Slope stable model, 228
Smart grid, 245
Snow, 20, 177, 178, 180, 181, 185, 187, 193
Soil degradation, 12
Soil Water Assessment Tool (SWAT), 20,
115–117, 222, 285–287, 301, 302,
305–308, 311–313
Soil water content (SWC), 302–308, 310–313
Son La Reservoir, 202
Spaceborne SAR data, 288, 294
Spatial distribution of CO 2 emissions, 256,
257, 259
Spatially disaggregate models, 8
Spatially explicit land-use model, 249–250, 259
Spatial randomization test, 214–217
Speckle reduction, 289–291
Spot, 39, 45, 65, 161–165, 282
SRTM. See Shuttle Rader Topography Mission
(SRTM)
Statistical regression models, 5–6, 11, 13
Stream flow, 17–32, 226
Sub-basins, 20, 22, 234
Supply-demand balance, 250
Support vector machines, 74, 265–277
Supraglacial, 174, 175, 181–185, 188–191,
193–195
Surface, 4, 13, 20, 31, 38, 39, 42, 65, 66, 70, 74,
82, 114–116, 118, 138, 140, 141, 156,
174, 175, 178–183, 187, 188, 190–195,
204, 222, 225, 227–230, 238, 265,
266, 273, 282, 283, 285–287, 295–297,
305, 312
elevation, 175, 181–182, 184–187,
190–194
runoff, 19, 28, 29, 31, 32, 227
SWAT. See Soil Water Assessment Tool
(SWAT)
T
Temperature, 18, 19, 23, 25, 28, 31, 174, 175,
177, 191, 243, 252, 304
Temporal analysis, 77
Terminus, 176, 185, 188, 191, 193
Texture, 55, 59, 75, 118, 120, 122–126, 134,
149–151, 153, 179, 181, 193, 269, 283,
291, 294, 296–297
Texturing, 52
Thac Ba reservoir, 201
Thanh Hoa, 201, 202, 205
Thao River, 201
Thematic accuracy assessment, 273, 276
Three dimensional vegetation structure, 140,
141, 145, 153
Time series, 7, 23, 56, 57, 60, 82, 94, 107,
175, 178
TM. See Landsat Thematic Mapper (TM)
Tokyo metropolitan area, 244, 245, 252–257
Tone, 75, 118, 127, 163, 283, 294–297
Topology, 94, 206, 212, 214
Trade-off, 243, 245, 259, 285
Training sample quality, 82, 83, 268
Training sample size, 269, 273
Transport area, 101, 102
Trend analysis, 19, 24, 25
T-statistical, 102
Tsunami, 243, 244, 255, 260
Tuyen Quang reservoir, 202
Typhoon, 200–203, 208, 210, 211, 222,
237, 243
U
Uncertainty, 10, 29–30, 157, 166, 167, 226,
288
United Nations University Institute for the
Advanced Study of Sustainability
(UNU-IAS), 238
Unweighted pair-group method using
arithmetic averages (UPGMA), 206,
212–214, 217
Index
319