569
Bromeliads, 257–263
Brownian motion model of evolution, 158–159
Brown pigment, 370, 392
C
Calibration, 139–142
targets, 417–418
tarps, 417–418
California Institute of Technology, 115
Canadian Airborne Biodiversity Observatory
(CABO), 115, 387
Canopy architecture
use in detecting invasive alien species, 281
Canopy characteristics
assessing with vegetation indices and
broadband sensors, 136
Canopy height
as a confounding factor for remote
sensing, 512
use of InSAR to estimate, 331
Canopy radiative transfer models, 64–65
Canopy spectra, 109, 114
Canopy temperature
remote sensing of, 234
CAO, see Carnegie Airborne
Observatory (CAO)
CAR models, 259
CarboEurope-IP, 86
Carbon, 178
allocation, 111
cycle, 44, 113, 326, 470, 504
storage, 47, 275, 279, 315, 455
spectral features, 51, 58, 64, 106, 352
quality, 178–179
Carnegie Airborne Observatory
(CAO), 51, 115
Carnegie Spectranomics Project, 387
Carotene pigments, 47, 54, 94, 106–107, 123,
353–354, 367–368
Cedar Creek Ecosystem Science Reserve, 29,
31, 33, 185, 433, 438
Cellulose, 44, 47, 61, 65, 107, 175, 363, 371,
374, 376, 505
optical properties of, 58, 351–354
Cessna, 127, 312
CHELSA, 256, 464
Chemical phylogeny, 107
Chlorophyll
a, 107, 170, 236, 288, 363–367, 392
b, 107, 363–367, 392
content, 164–165
functional traits associated with, 44, 47,
135, 364, 505, 506
fluorescence, 135, 145, 314
and phenology, 453
spectral properties, 65, 135–136, 353,
355–358, 392, 458
and vegetation indices, 129–134
Chronic stress agents, 122, 125, 148
Citizen science, 238, 454, 485, 487
Classification, 87, 110, 142, 164,
166–167, 473
accuracy, 166, 274–276,
278–279, 292–293
methods/techniques, 164, 167, 271–275,
281, 283, 324, 334, 405, 470, 472
supervised, 272–274, 276, 283, 292, 403
unsupervised, 272, 273, 283
use of radar for, 329–333
Classifier, see Classification
Climate
predicting biodiversity from, 255–263
remote sensing of, 234
Climate change, 43, 122, 143, 148, 225, 267,
313, 451–453, 456, 461
acid deposition, 122
Climate Hazards group infrared precipitation
with station (CHIRPS), 205,
235, 259
use for modeling biodiversity, 206
Climatic impacts
remote sensing of, 199–200, 215–217, 235
Close-range EO, 313–317
Close-range imaging spectroscopy, 317
Close-range laboratory spectroscopy, 313
Cloud-Aerosol Lidar and Infrared Pathfinder
Satellite Observation
(CALIPSO), 235
Cloud cover
mapping, 234
Clouds
effect on airborne imaging, 362, 415
Coarse woody debris, 326
Coded light projection system, 316
Committee on Earth Observation Satellites
(CEOS), 524
Communication
in field campaigns, 387
importance of, 387, 389, 398
Community assembly, 19–20, 243
Compact airborne spectrographic imager
(CASI), 285
Conservation, 111, 227, 238, 245, 449, 450,
456–462, 486
and management, 105, 115, 216, 217,
226–227, 238, 456
Conservation International, 105
Index
Bromeliads, 257–263
Brownian motion model of evolution, 158–159
Brown pigment, 370, 392
C
Calibration, 139–142
targets, 417–418
tarps, 417–418
California Institute of Technology, 115
Canadian Airborne Biodiversity Observatory
(CABO), 115, 387
Canopy architecture
use in detecting invasive alien species, 281
Canopy characteristics
assessing with vegetation indices and
broadband sensors, 136
Canopy height
as a confounding factor for remote
sensing, 512
use of InSAR to estimate, 331
Canopy radiative transfer models, 64–65
Canopy spectra, 109, 114
Canopy temperature
remote sensing of, 234
CAO, see Carnegie Airborne
Observatory (CAO)
CAR models, 259
CarboEurope-IP, 86
Carbon, 178
allocation, 111
cycle, 44, 113, 326, 470, 504
storage, 47, 275, 279, 315, 455
spectral features, 51, 58, 64, 106, 352
quality, 178–179
Carnegie Airborne Observatory
(CAO), 51, 115
Carnegie Spectranomics Project, 387
Carotene pigments, 47, 54, 94, 106–107, 123,
353–354, 367–368
Cedar Creek Ecosystem Science Reserve, 29,
31, 33, 185, 433, 438
Cellulose, 44, 47, 61, 65, 107, 175, 363, 371,
374, 376, 505
optical properties of, 58, 351–354
Cessna, 127, 312
CHELSA, 256, 464
Chemical phylogeny, 107
Chlorophyll
a, 107, 170, 236, 288, 363–367, 392
b, 107, 363–367, 392
content, 164–165
functional traits associated with, 44, 47,
135, 364, 505, 506
fluorescence, 135, 145, 314
and phenology, 453
spectral properties, 65, 135–136, 353,
355–358, 392, 458
and vegetation indices, 129–134
Chronic stress agents, 122, 125, 148
Citizen science, 238, 454, 485, 487
Classification, 87, 110, 142, 164,
166–167, 473
accuracy, 166, 274–276,
278–279, 292–293
methods/techniques, 164, 167, 271–275,
281, 283, 324, 334, 405, 470, 472
supervised, 272–274, 276, 283, 292, 403
unsupervised, 272, 273, 283
use of radar for, 329–333
Classifier, see Classification
Climate
predicting biodiversity from, 255–263
remote sensing of, 234
Climate change, 43, 122, 143, 148, 225, 267,
313, 451–453, 456, 461
acid deposition, 122
Climate Hazards group infrared precipitation
with station (CHIRPS), 205,
235, 259
use for modeling biodiversity, 206
Climatic impacts
remote sensing of, 199–200, 215–217, 235
Close-range EO, 313–317
Close-range imaging spectroscopy, 317
Close-range laboratory spectroscopy, 313
Cloud-Aerosol Lidar and Infrared Pathfinder
Satellite Observation
(CALIPSO), 235
Cloud cover
mapping, 234
Clouds
effect on airborne imaging, 362, 415
Coarse woody debris, 326
Coded light projection system, 316
Committee on Earth Observation Satellites
(CEOS), 524
Communication
in field campaigns, 387
importance of, 387, 389, 398
Community assembly, 19–20, 243
Compact airborne spectrographic imager
(CASI), 285
Conservation, 111, 227, 238, 245, 449, 450,
456–462, 486
and management, 105, 115, 216, 217,
226–227, 238, 456
Conservation International, 105
Index