Privacy, 392
Producer accuracy (PA), 363
Progressive double sigmoid model fitting
(PDSMF) algorithm, 190
Project-based color balancing (PBCB), 241
Provenance, 392
Province-based yield maps, 235
Pure pixel selection, 338, 339
Q
Quality control (QC) layer, 368
Quality of service (QoS) management, 107
Quickbird image, 353
R
Radar remote sensing, 184
Radar Topography Mission (SRTM), 325
RADARSAT, 328
Radiometric editing, 248
Rainfall measurements, 323
Ratio to median vegetation condition index
(RMVCI), 192
Ratio to previous year vegetation condition
index (RVCI), 192
Real-time flood monitoring, 322, 331
Rectified linear unit (ReLU), 123, 134
Registry Information Model (ebRIM), 393
Regression analysis, 206
Regression kriging (RK), 262
Regression model
ASD, 341
AUC, 340, 341
data, 337
flood corn loss assessment, 340
flood event, 337
model estimation, 343, 344
monitoring system, 109
NDVI smoothing, 339, 340
normal NDVI, 339
phenological stage, 112, 113
processes, 109
pure pixel selection, 338, 339
regression result, 341–343
study area, 338
yield estimation
accumulated rainfall, 115
correlations, 117
covariance, 119
crop yield maps, 122
crop-specific calculations (ETc), 114
earth heat flux intensity, 115
evapotranspiration, 114
GDD, 114
grouped data segmentation, 118, 119
interpolation models, 120
machine learning models, 120
multitemporal satellite images, 120
NDVI, 115, 116
overfitting, 122
parameters, 116
phenological stage, 116, 120
regression coefficients, 117
regression-based, 120
VPD, 114
wheat yield efficiency map, 121
Remote sensing, 104–106, 110, 113, 127, 136,
166, 169, 263, 268
and hydrological model-based soil moisture
products, 302
flood event monitoring (see Flood
monitoring)
in flood forecasting, 324, 325
in flood mapping, 325–330
ground station-based observations, 301
mapping, 323
Penman-Monteith equation, 305
PML (see Plastic-mulched landcover
(PML))
spaceborne and airborne, 324
Remote Sensing based Flood Crop Loss
Assessment (RF-CLASS), 329
Remote sensing satellites, 106
Remote sensing technique
agricultural application, 8, 9
crop evapotranspiration (ET), 20
crop phenology mapping, 16–19
crop type identification, 15, 16
crop yield estimation, 18, 19
soil moisture, 20, 21
water use, 20
airborne, 10
aircraft, 8
ARD, 12
band wavelengths, 11
characteristics, 8
coarse-resolution sensors, 8
landsat series data, 11
MODIS, 12, 13
MSI sensor, 13
multi-angular remote sensing, 9
nadir-viewing sensors, 9
NASA, 13
near-surface observation, 9
optical remote sensing sensors, 9
Index
415
Producer accuracy (PA), 363
Progressive double sigmoid model fitting
(PDSMF) algorithm, 190
Project-based color balancing (PBCB), 241
Provenance, 392
Province-based yield maps, 235
Pure pixel selection, 338, 339
Q
Quality control (QC) layer, 368
Quality of service (QoS) management, 107
Quickbird image, 353
R
Radar remote sensing, 184
Radar Topography Mission (SRTM), 325
RADARSAT, 328
Radiometric editing, 248
Rainfall measurements, 323
Ratio to median vegetation condition index
(RMVCI), 192
Ratio to previous year vegetation condition
index (RVCI), 192
Real-time flood monitoring, 322, 331
Rectified linear unit (ReLU), 123, 134
Registry Information Model (ebRIM), 393
Regression analysis, 206
Regression kriging (RK), 262
Regression model
ASD, 341
AUC, 340, 341
data, 337
flood corn loss assessment, 340
flood event, 337
model estimation, 343, 344
monitoring system, 109
NDVI smoothing, 339, 340
normal NDVI, 339
phenological stage, 112, 113
processes, 109
pure pixel selection, 338, 339
regression result, 341–343
study area, 338
yield estimation
accumulated rainfall, 115
correlations, 117
covariance, 119
crop yield maps, 122
crop-specific calculations (ETc), 114
earth heat flux intensity, 115
evapotranspiration, 114
GDD, 114
grouped data segmentation, 118, 119
interpolation models, 120
machine learning models, 120
multitemporal satellite images, 120
NDVI, 115, 116
overfitting, 122
parameters, 116
phenological stage, 116, 120
regression coefficients, 117
regression-based, 120
VPD, 114
wheat yield efficiency map, 121
Remote sensing, 104–106, 110, 113, 127, 136,
166, 169, 263, 268
and hydrological model-based soil moisture
products, 302
flood event monitoring (see Flood
monitoring)
in flood forecasting, 324, 325
in flood mapping, 325–330
ground station-based observations, 301
mapping, 323
Penman-Monteith equation, 305
PML (see Plastic-mulched landcover
(PML))
spaceborne and airborne, 324
Remote Sensing based Flood Crop Loss
Assessment (RF-CLASS), 329
Remote sensing satellites, 106
Remote sensing technique
agricultural application, 8, 9
crop evapotranspiration (ET), 20
crop phenology mapping, 16–19
crop type identification, 15, 16
crop yield estimation, 18, 19
soil moisture, 20, 21
water use, 20
airborne, 10
aircraft, 8
ARD, 12
band wavelengths, 11
characteristics, 8
coarse-resolution sensors, 8
landsat series data, 11
MODIS, 12, 13
MSI sensor, 13
multi-angular remote sensing, 9
nadir-viewing sensors, 9
NASA, 13
near-surface observation, 9
optical remote sensing sensors, 9
Index
415