NASS traditional stratification method, 267
NASS’s traditional area frame stratification
process, 275
ranking procedure, 273
state-specific stratum definitions, 275
steps, 275
vs. traditional methods, 278, 279
Automatic flood detection systems, 327
Automatic radiometric correction, 247
Automatic stratification
analysis and results evaluation, 276, 279
assessment metrics, 286
into NASS operations
ancillary data for manual review and
editing process, 280, 281
integration process, 284, 286
labor cost, 295
PSU sizes, 291
stratification accuracy, 286, 287, 291
stratum level standard deviations, 294
stratum mean percent cultivation, 292
traditional, automated, and hybrid area
frame, 288
AVHHR-NDVI, 335, 390
Axis2, 394, 396
B
Band addition, 326
Band ratio, 326, 333–336
Bangladesh Haor flood mapping, 329
Best Index Slope Extraction (BISE), 187, 339,
340
Bicubic resampling, 246
Bi-directional reflectance distribution function
(BRDF), 179
Big data
agriculture, 144, 146
agro-geoinformation
agricultural applications, 149, 150
definition, 149
agro-sensor web, 151, 152
antibiotic-resistant microorganisms, 145
challenges, 145
climate change, 144
COVALI, 157
CropScape, 153
developing countries, 143
economic development, 143
farming strategies, 145
food and agricultural systems, 144
food security, 144
freshwater, 144
GADMFS, 152, 153
genetic engineering, 145
GeoFairy, 156
molecular biology, 145
RF-CLASS, 155
SMAP, 155
special features, 147
stakeholders, 145
state-of-the-art analysis methods, 148
VegScape, 154
water wasting, 144
water-use inefficacy, 144
C
Caffe, 96
Catalog Service for the Web (CSW), 171, 225,
393, 397
Catchment delineation, 325
Center for Spatial Information Science and
System (CSISS), 337
Central Product Classification (CPC), 78
Charge-coupled device (CCD), 88
Chemical Movement in Layered Soils Model
(CMLS), 31
Chinese Academy of Sciences (CAS), 194
Classification and Regression Trees (CART), 94
Classification-based approach, 333
Classification-based flood crop damage
assessment, 333
Climate change, 322
Cloud sourcing, 58–60
Cloud-based image processing, 87
Coarse spatial resolution, 327
Comma-separated values (CSV), 58
Common Agricultural Policy (CAP), 168
Common Gateway Interface (CGI), 395
Common Land Unit (CLU), 97, 229, 281, 387
Computational efficiency, 380
Confusion matrix, 363, 364
Content interoperability, 394
Contiguous United States (CONUS), 387,
396, 397
Continuous wavelet transform (CWT), 129
Convolutional neural network (CNN), 132–
135, 180
Corine Land Cover data, 270
COVALI, 157
Crop Data Layer (CDL), 337–339
Crop Environment Resource Synthesis
(CERES), 32
Crop evapotranspiration (ET), 20
Crop growth, 176
Index
407
NASS’s traditional area frame stratification
process, 275
ranking procedure, 273
state-specific stratum definitions, 275
steps, 275
vs. traditional methods, 278, 279
Automatic flood detection systems, 327
Automatic radiometric correction, 247
Automatic stratification
analysis and results evaluation, 276, 279
assessment metrics, 286
into NASS operations
ancillary data for manual review and
editing process, 280, 281
integration process, 284, 286
labor cost, 295
PSU sizes, 291
stratification accuracy, 286, 287, 291
stratum level standard deviations, 294
stratum mean percent cultivation, 292
traditional, automated, and hybrid area
frame, 288
AVHHR-NDVI, 335, 390
Axis2, 394, 396
B
Band addition, 326
Band ratio, 326, 333–336
Bangladesh Haor flood mapping, 329
Best Index Slope Extraction (BISE), 187, 339,
340
Bicubic resampling, 246
Bi-directional reflectance distribution function
(BRDF), 179
Big data
agriculture, 144, 146
agro-geoinformation
agricultural applications, 149, 150
definition, 149
agro-sensor web, 151, 152
antibiotic-resistant microorganisms, 145
challenges, 145
climate change, 144
COVALI, 157
CropScape, 153
developing countries, 143
economic development, 143
farming strategies, 145
food and agricultural systems, 144
food security, 144
freshwater, 144
GADMFS, 152, 153
genetic engineering, 145
GeoFairy, 156
molecular biology, 145
RF-CLASS, 155
SMAP, 155
special features, 147
stakeholders, 145
state-of-the-art analysis methods, 148
VegScape, 154
water wasting, 144
water-use inefficacy, 144
C
Caffe, 96
Catalog Service for the Web (CSW), 171, 225,
393, 397
Catchment delineation, 325
Center for Spatial Information Science and
System (CSISS), 337
Central Product Classification (CPC), 78
Charge-coupled device (CCD), 88
Chemical Movement in Layered Soils Model
(CMLS), 31
Chinese Academy of Sciences (CAS), 194
Classification and Regression Trees (CART), 94
Classification-based approach, 333
Classification-based flood crop damage
assessment, 333
Climate change, 322
Cloud sourcing, 58–60
Cloud-based image processing, 87
Coarse spatial resolution, 327
Comma-separated values (CSV), 58
Common Agricultural Policy (CAP), 168
Common Gateway Interface (CGI), 395
Common Land Unit (CLU), 97, 229, 281, 387
Computational efficiency, 380
Confusion matrix, 363, 364
Content interoperability, 394
Contiguous United States (CONUS), 387,
396, 397
Continuous wavelet transform (CWT), 129
Convolutional neural network (CNN), 132–
135, 180
Corine Land Cover data, 270
COVALI, 157
Crop Data Layer (CDL), 337–339
Crop Environment Resource Synthesis
(CERES), 32
Crop evapotranspiration (ET), 20
Crop growth, 176
Index
407