Landsat TM data, 361
Landsat TM/ETM, 333
Landsat-8 OLI data, 353
Large Area Crop Inventory Experiment
(LACIE), 176
Leaf area index (LAI), 18, 45, 191, 209
LiDAR-derived DEM, 325
Light-use efficiency (LUE), 19
Linear optimization techniques, 376
Linear spectral mixing model (LSMM), 379
Location-based service (LBS), 156
Log-sigmoid transfer function, 123
Low solar zenith angle, 333
M
Machine learning, 92, 94, 185
MapServer, 394, 395
MARS Crop Yield Forecasting System
(MCYFS), 176
Maximum Value Composite (MVC), 334
Mean vegetation condition index (MVCI), 192
Medium-resolution remote sensing images, 16
Merged soil moisture, 301
Metadata content, 74–76
Microwave remote sensing, 21, 325, 326, 328
Mid-Infrared (MIR), 327
Mixed spatial attraction model (MSAM),
377, 378
Mobile devices, 86
MOD09GA, 379
MOD09GQ, 379
Model estimation, 343, 344
Moderate resolution imaging spectroradiometer
(MODIS), 8, 301, 306, 307, 309,
311, 312, 327, 354, 390, 391
and AVHRR satellite-based vegetation
indices, 335
data, 225
spatial attraction models, 375–380
time series data, 365–374
Modified subpixel/pixel spatial attraction model
(MSPSAM), 377, 378, 380, 382
Monitoring agricultural by remote sensing
(MARS), 176, 193, 207
Montana Agricultural Potentials System
(MAPS), 31
MSAM, 380, 382
Multiply, add, and carry (MAC), 133
Multispectral instrument (MSI), 13
Multi-temporal change detection algorithm, 328
N
Narrowband Internet of Things (NB-IoT), 104
NASA Land Atmosphere Near-real-time
Capability for EOS (LANCE), 225
NASA National Snow and Ice Data Center
Distributed Active Archive Center
(NSIDC DAAC), 391
NASS Cultivated Layer, 273
NASS geospatial CDLs, 272, 273
NASS programs, 266
NASS Remote Sensing Estimation Program,
272
NASS survey statistics, 266
NASS’s area frame land use stratification,
270, 271
NASS’s traditional method, 268
National Aeronautics and Space Administration
(NASA), 224, 390, 391
National Aeronautics and Space Administration
Jet Propulsion Laboratory (NASA
JPL), 83
National Agricultural Imagery Program (NAIP)
aerial photography, 281
National Agricultural Statistics Service
(NASS), 29, 97, 266, 337, 387, 390,
394, 396
National Centers for Environmental Prediction
(NCEP), 31
National Crop Condition Monitoring System,
176
National Crop Progress Monitoring System
(NCPMS), 191, 192
National elevation data (NED), 97
National Farmer Registry System, 234
National freeway system, 396
National Land Cover Data (NLCD), 97, 182,
270, 272, 387
National Oceanic and Atmospheric
Administration (NOAA), 224,
390, 391
National Snow and Ice Data Center (NSIDC),
21, 49
National Spatial Data Infrastructure (NSDI),
170
Natural disasters, 322
NDVI smoothing, 339, 340
Near-infrared (NIR), 326
Near-real-time (NRT), 386, 391
Near-real-time flood mapping, 325
Net primary production (NPP), 45
Neural networks, 122–124, 126, 128
Index
413
Landsat TM/ETM, 333
Landsat-8 OLI data, 353
Large Area Crop Inventory Experiment
(LACIE), 176
Leaf area index (LAI), 18, 45, 191, 209
LiDAR-derived DEM, 325
Light-use efficiency (LUE), 19
Linear optimization techniques, 376
Linear spectral mixing model (LSMM), 379
Location-based service (LBS), 156
Log-sigmoid transfer function, 123
Low solar zenith angle, 333
M
Machine learning, 92, 94, 185
MapServer, 394, 395
MARS Crop Yield Forecasting System
(MCYFS), 176
Maximum Value Composite (MVC), 334
Mean vegetation condition index (MVCI), 192
Medium-resolution remote sensing images, 16
Merged soil moisture, 301
Metadata content, 74–76
Microwave remote sensing, 21, 325, 326, 328
Mid-Infrared (MIR), 327
Mixed spatial attraction model (MSAM),
377, 378
Mobile devices, 86
MOD09GA, 379
MOD09GQ, 379
Model estimation, 343, 344
Moderate resolution imaging spectroradiometer
(MODIS), 8, 301, 306, 307, 309,
311, 312, 327, 354, 390, 391
and AVHRR satellite-based vegetation
indices, 335
data, 225
spatial attraction models, 375–380
time series data, 365–374
Modified subpixel/pixel spatial attraction model
(MSPSAM), 377, 378, 380, 382
Monitoring agricultural by remote sensing
(MARS), 176, 193, 207
Montana Agricultural Potentials System
(MAPS), 31
MSAM, 380, 382
Multiply, add, and carry (MAC), 133
Multispectral instrument (MSI), 13
Multi-temporal change detection algorithm, 328
N
Narrowband Internet of Things (NB-IoT), 104
NASA Land Atmosphere Near-real-time
Capability for EOS (LANCE), 225
NASA National Snow and Ice Data Center
Distributed Active Archive Center
(NSIDC DAAC), 391
NASS Cultivated Layer, 273
NASS geospatial CDLs, 272, 273
NASS programs, 266
NASS Remote Sensing Estimation Program,
272
NASS survey statistics, 266
NASS’s area frame land use stratification,
270, 271
NASS’s traditional method, 268
National Aeronautics and Space Administration
(NASA), 224, 390, 391
National Aeronautics and Space Administration
Jet Propulsion Laboratory (NASA
JPL), 83
National Agricultural Imagery Program (NAIP)
aerial photography, 281
National Agricultural Statistics Service
(NASS), 29, 97, 266, 337, 387, 390,
394, 396
National Centers for Environmental Prediction
(NCEP), 31
National Crop Condition Monitoring System,
176
National Crop Progress Monitoring System
(NCPMS), 191, 192
National elevation data (NED), 97
National Farmer Registry System, 234
National freeway system, 396
National Land Cover Data (NLCD), 97, 182,
270, 272, 387
National Oceanic and Atmospheric
Administration (NOAA), 224,
390, 391
National Snow and Ice Data Center (NSIDC),
21, 49
National Spatial Data Infrastructure (NSDI),
170
Natural disasters, 322
NDVI smoothing, 339, 340
Near-infrared (NIR), 326
Near-real-time (NRT), 386, 391
Near-real-time flood mapping, 325
Net primary production (NPP), 45
Neural networks, 122–124, 126, 128
Index
413