Crop growth (cont.)
advantages, 206
agricultural practices, 206
agricultural research community, 206
challenge, 205
cropland spatial and temporal heterogeneity,
206
data assimilation, 207, 214–216
dynamics parameters, 206
GIS techniques, 206
high-spatial-temporal-resolution remote
sensing, 207
land surface model, 207
physiological/physical-based, 206, 208,
210–212
quantitative remote sensing data, 207
regional scale, 207
remote sensing, 206
remote sensing monitoring, 213, 214
satellite data, 207
scientific researches, 206
spatial-temporal characteristics, 207
spectral indices, 207
statistical modeling, 206, 208, 209
statistical models, 206
yield forecasting, 207, 208
Crop inventory (CI), 183
Crop pattern
agricultural sectors, 176
farmers, 176
geospatial technologies, 176
operational statistical approach, 176
operational systems and programs, 176
remote sensing, 176
Crop pattern mapping
remote sensing approach
classification, 180, 181
feature extraction, 180
feature selection, 180
higher resolution, 177
intrinsic characteristics, 177
post-processing, 180
preprocessing, 178
radiometric correction, 179
satellite sensors, 179
validation, 181
statistical approach, 177
Crop phenology mapping, 16–19
Crop progress (CP), 16, 17
Crop status monitoring
limitations, 194, 195
perspectives, 194, 195
remote sensing approach
condition evaluation, 187, 190, 191
condition indicators, 187
data preprocessing, 186
efficient technology, 185
modeling, 187
satellite sensors, 185, 186
validation, 191
vegetation indices, 188, 189
workflow, 185
statistical approach, 185
Crop type, 8, 15
Crop Watch (CropWatch) program, 194
Crop water use, 20, 21
Crop yield managements, 334
Cropland, 176, 180
Cropland data layer (CDL), 29, 97, 98, 153,
182, 229, 387, 395–398
classification errors, 267
1992 NLCD, 270
single year, 280
state-level NASS, 275
Cropland Data Layer CropScape, 176
CropScape, 6, 153
AOI, 394
application layer, 394, 395
architecture, 394, 395
data layer, 396
GDAL, 394
geospatial navigation and querying, 394
online visualization, 394
service layer, 395, 396
W3C standards, 394
CropSyst, 110
Crowdsourcing, 60, 61
Cumulative seasonal erosion potential
(CSEP), 28
Cumulative vegetation index (CVI), 193
D
Daily-mean-spectral-reflectance (DMSR),
368–370
Damage assessment
flood crop (see Flood crop damage
assessments)
Dartmouth Flood Observatory (DFO), 155,
229, 327, 331, 391
Dartmouth Flood Observatory (DMO), 322
Data acquisition
spatial and nonspatial, 322
Data as a Service (DaaS), 136
Data assimilation, 214–216
Data content, 73, 74
408
Index
advantages, 206
agricultural practices, 206
agricultural research community, 206
challenge, 205
cropland spatial and temporal heterogeneity,
206
data assimilation, 207, 214–216
dynamics parameters, 206
GIS techniques, 206
high-spatial-temporal-resolution remote
sensing, 207
land surface model, 207
physiological/physical-based, 206, 208,
210–212
quantitative remote sensing data, 207
regional scale, 207
remote sensing, 206
remote sensing monitoring, 213, 214
satellite data, 207
scientific researches, 206
spatial-temporal characteristics, 207
spectral indices, 207
statistical modeling, 206, 208, 209
statistical models, 206
yield forecasting, 207, 208
Crop inventory (CI), 183
Crop pattern
agricultural sectors, 176
farmers, 176
geospatial technologies, 176
operational statistical approach, 176
operational systems and programs, 176
remote sensing, 176
Crop pattern mapping
remote sensing approach
classification, 180, 181
feature extraction, 180
feature selection, 180
higher resolution, 177
intrinsic characteristics, 177
post-processing, 180
preprocessing, 178
radiometric correction, 179
satellite sensors, 179
validation, 181
statistical approach, 177
Crop phenology mapping, 16–19
Crop progress (CP), 16, 17
Crop status monitoring
limitations, 194, 195
perspectives, 194, 195
remote sensing approach
condition evaluation, 187, 190, 191
condition indicators, 187
data preprocessing, 186
efficient technology, 185
modeling, 187
satellite sensors, 185, 186
validation, 191
vegetation indices, 188, 189
workflow, 185
statistical approach, 185
Crop type, 8, 15
Crop Watch (CropWatch) program, 194
Crop water use, 20, 21
Crop yield managements, 334
Cropland, 176, 180
Cropland data layer (CDL), 29, 97, 98, 153,
182, 229, 387, 395–398
classification errors, 267
1992 NLCD, 270
single year, 280
state-level NASS, 275
Cropland Data Layer CropScape, 176
CropScape, 6, 153
AOI, 394
application layer, 394, 395
architecture, 394, 395
data layer, 396
GDAL, 394
geospatial navigation and querying, 394
online visualization, 394
service layer, 395, 396
W3C standards, 394
CropSyst, 110
Crowdsourcing, 60, 61
Cumulative seasonal erosion potential
(CSEP), 28
Cumulative vegetation index (CVI), 193
D
Daily-mean-spectral-reflectance (DMSR),
368–370
Damage assessment
flood crop (see Flood crop damage
assessments)
Dartmouth Flood Observatory (DFO), 155,
229, 327, 331, 391
Dartmouth Flood Observatory (DMO), 322
Data acquisition
spatial and nonspatial, 322
Data as a Service (DaaS), 136
Data assimilation, 214–216
Data content, 73, 74
408
Index