Scale-space remote sensing data,
representations, 173–175
Earth surface objects, 173
isotropic filtering, problems, 174
linear scale-space approaches, 173–174
morphological levelings, 174
benefits, 174
nonlinear scale-spaces, 174
scale-space formulation, 174–175
Scale thresholds, 144
Seasonal LST variability, 47
SEBAL model, 44
Second law of thermodynamics, 49
Segmentation algorithms, 7, 173, 184,
187–191, 199, 203, 205
on a DMC aerial multispectral image, 184
Self-dual morphological operators, 174
Sensor altitude, 65
Shuttle radar topography mission (SRTM)
data, 202
Size-constrained region merging
(SCRM), 147
SMACEX campaign, 44
Small-footprint, 267
“Soft” approach of image classifications, 66
Soil erosion, 111
Soil moisture, 40–45
Solidago, 128
Spaceborne sensors, 82
Spatial data aggregation, 109
Spatial heterogeneity, 110
Spatial resolution, 4, 65
define, 65
detectability, 65
separability, 65
Spatial resolution imagery, 82
Spatio-temporal scale-based error
propagation, 8, 84
Spatiotemporal scaling, for
precipitation, 254
Spectral bands, 64
Spectral contrast, 65
Spectral homogeneity, 172–173
Spectral resolution, 62, 73
Spectroradiometers, 289
SPOT5 data., 206
SPOT-5 fusion, 6
SPOT satellite, 13
SS. See Scale space (SS)
Standard precipitation index (SPI), 46
Sun-synchronous satellites, 81
Suomi National Polar-Orbiting Partnership
(NPP) space platform, 37
Support Vector Machine (SVM)
classification scheme, 181–182
Surface Energy Balance System (SEBS), 41
landsat-based predictions, 41
Surface energy fluxes, 38
partitioning, 49
Surface property, 51
Surface temperatures, 50
Surface thermal energy balances, 38
SVM algorithm, 182
Swath width, 82
SWIR spectrum, 311
Synergy, 5, 61, 73
Tamarix defoliation on riparian ET, 85
Tamarix leaf beetles, 84
effects of leaf beetles on Tamarix, 85
ET measurement, 86
key questions amendable to remote
sensing methods, 85
landsat imagery to compare NDVI and
ET, 88, 90–94
landsat TM and MODIS satellite
images, 86
MODIS imagery to compare EVI and
ET, 94–98
Phenocams, for study defoliation and
other damges (see Phenocams)
sensor systems, employed, 85–86
spread on Western U.S. Rivers, 84–86
Tamarix ramosissima, 83–84
TBC. See Thermal buffer capacity (TBC)
TCI. See Temperature, condition index (TCI)
Temperature
condition index (TCI), 46
land surface, 4
Temporal variability, 67
Terra satellite, 81–82
Thematic Mapper (TM) instrument, 36
Thermal buffer capacity (TBC), 52
Thermal data, 34
characteristics, 34
Thermal energy theory, 47–50
Thermal infrared (TIR) remote sensing data.
See TIR remote sensing data
INDEX
333
representations, 173–175
Earth surface objects, 173
isotropic filtering, problems, 174
linear scale-space approaches, 173–174
morphological levelings, 174
benefits, 174
nonlinear scale-spaces, 174
scale-space formulation, 174–175
Scale thresholds, 144
Seasonal LST variability, 47
SEBAL model, 44
Second law of thermodynamics, 49
Segmentation algorithms, 7, 173, 184,
187–191, 199, 203, 205
on a DMC aerial multispectral image, 184
Self-dual morphological operators, 174
Sensor altitude, 65
Shuttle radar topography mission (SRTM)
data, 202
Size-constrained region merging
(SCRM), 147
SMACEX campaign, 44
Small-footprint, 267
“Soft” approach of image classifications, 66
Soil erosion, 111
Soil moisture, 40–45
Solidago, 128
Spaceborne sensors, 82
Spatial data aggregation, 109
Spatial heterogeneity, 110
Spatial resolution, 4, 65
define, 65
detectability, 65
separability, 65
Spatial resolution imagery, 82
Spatio-temporal scale-based error
propagation, 8, 84
Spatiotemporal scaling, for
precipitation, 254
Spectral bands, 64
Spectral contrast, 65
Spectral homogeneity, 172–173
Spectral resolution, 62, 73
Spectroradiometers, 289
SPOT5 data., 206
SPOT-5 fusion, 6
SPOT satellite, 13
SS. See Scale space (SS)
Standard precipitation index (SPI), 46
Sun-synchronous satellites, 81
Suomi National Polar-Orbiting Partnership
(NPP) space platform, 37
Support Vector Machine (SVM)
classification scheme, 181–182
Surface Energy Balance System (SEBS), 41
landsat-based predictions, 41
Surface energy fluxes, 38
partitioning, 49
Surface property, 51
Surface temperatures, 50
Surface thermal energy balances, 38
SVM algorithm, 182
Swath width, 82
SWIR spectrum, 311
Synergy, 5, 61, 73
Tamarix defoliation on riparian ET, 85
Tamarix leaf beetles, 84
effects of leaf beetles on Tamarix, 85
ET measurement, 86
key questions amendable to remote
sensing methods, 85
landsat imagery to compare NDVI and
ET, 88, 90–94
landsat TM and MODIS satellite
images, 86
MODIS imagery to compare EVI and
ET, 94–98
Phenocams, for study defoliation and
other damges (see Phenocams)
sensor systems, employed, 85–86
spread on Western U.S. Rivers, 84–86
Tamarix ramosissima, 83–84
TBC. See Thermal buffer capacity (TBC)
TCI. See Temperature, condition index (TCI)
Temperature
condition index (TCI), 46
land surface, 4
Temporal variability, 67
Terra satellite, 81–82
Thematic Mapper (TM) instrument, 36
Thermal buffer capacity (TBC), 52
Thermal data, 34
characteristics, 34
Thermal energy theory, 47–50
Thermal infrared (TIR) remote sensing data.
See TIR remote sensing data
INDEX
333