577
Planning
field campaign, 387–418
flight, 415–416
Plant diversity
detecting with remote sensing, 2–6
influence on belowground
processes, 180–181
monitoring with LiDAR, 325
monitoring and assessing, 418
Plant economic spectrum, 174, 177
leaf economic spectrum (LES), 16, 18, 44,
125, 174
Plant functional morphology, 365
Plant functional traits, 68, 429, 463, 505–506
Plant functional types (PFTs), 44, 279, 322,
391, 435
Plant health, 57, 319
indicators of, 44
Plant morphological traits
use in detecting invasive alien species, 281
Plant phenomics facilities, 312–314, 318
Plant phenotyping
with 3-D imaging, 326
Plant spectra, 8, 218, 385
assessing bioversity from, 164
and belowground systems/processes, 174,
182, 185, 187
evolution and, 161–162
and plant traits, 33
Plant stress
flight planning to detect, 415
using hyperspectral sensors to assess, 134
indicators of, 324
on photosynthetic performance, 314
and spectral indices, 391
Plant traits, 31–33
detecting, 32–33, 50–71, 365, 435
radiative transfer, 4
and community assembly, 19–20
mapping, 50–51
Platforms and sensors
airborne, 273, 281, 294, 415
lidar, 325–329
optical, 320–322
radar, 329–332
satellite, 273, 294, 311–312, 317, 333, 335
thermal, 323–325
trade-offs among different types, 271
unmanned aircraft, 317–320
PLSR, see Partial least-squares
regression (PLSR)
Point clouds, 3-D, 85, 88–90, 316–320, 326–328
Polar Orbiting Environmental Satellites
(POES), 323
Pollination, 452–453
Polyphenols, 109, 178–179
Post-processing, 52–56
LiDAR, 243
Precipitation
predicing biodiversity from, 255–263
Principal component analysis (PCA), 17, 64,
161, 272–274, 324, 392, 430
PROBA CHRIS, 91
PROSPECT, 65, 367–368, 370–372
Protected area monitoring, 460–461
Proximal remote sensing, 402
using canopy level spectroscopy, 412
PSE, see Phylogenetic species evenness (PSE)
PSR, see Phylogenetic species richness (PSR)
PSV, see Phylogenetic species variability (PSV)
Python, 274
Q
QPhenoMetrics, 454
QuickBird, 284
Quick Scatterometer (QuickSCAT), 230
R
R, 274, 463
Radar, 329–333, 472
ground penetrating, 230, 234
main contributions, 332
vs. optical data, 331
Radar signal polarizations, 330
RADARSAT-1 & 2, 237
Radiative transfer models (RTMs), 64–67, 84,
93–94, 290, 392, 393
modeling intercomparison (RAMI), 85
validation of trait predictions, 94–95
model inversion, 513
Radiometric correction, 416
Radiometric resolution, 145, 271, 289, 334
Rainfall
and airborne remote sensing, 361
ecosystem states and, 459–460
estimating with remote sensing, 235
RAMI, see Radiation transfer modeling
intercomparison (RAMI)
Random forest, 274, 293
Rangelands
remote sensing of invasive alien
species in, 279
Rao’s Q, 322
Rapid Assessment Program, 105
Rapid Ecosystem Function Assessment
(REFA), 462
Index
Planning
field campaign, 387–418
flight, 415–416
Plant diversity
detecting with remote sensing, 2–6
influence on belowground
processes, 180–181
monitoring with LiDAR, 325
monitoring and assessing, 418
Plant economic spectrum, 174, 177
leaf economic spectrum (LES), 16, 18, 44,
125, 174
Plant functional morphology, 365
Plant functional traits, 68, 429, 463, 505–506
Plant functional types (PFTs), 44, 279, 322,
391, 435
Plant health, 57, 319
indicators of, 44
Plant morphological traits
use in detecting invasive alien species, 281
Plant phenomics facilities, 312–314, 318
Plant phenotyping
with 3-D imaging, 326
Plant spectra, 8, 218, 385
assessing bioversity from, 164
and belowground systems/processes, 174,
182, 185, 187
evolution and, 161–162
and plant traits, 33
Plant stress
flight planning to detect, 415
using hyperspectral sensors to assess, 134
indicators of, 324
on photosynthetic performance, 314
and spectral indices, 391
Plant traits, 31–33
detecting, 32–33, 50–71, 365, 435
radiative transfer, 4
and community assembly, 19–20
mapping, 50–51
Platforms and sensors
airborne, 273, 281, 294, 415
lidar, 325–329
optical, 320–322
radar, 329–332
satellite, 273, 294, 311–312, 317, 333, 335
thermal, 323–325
trade-offs among different types, 271
unmanned aircraft, 317–320
PLSR, see Partial least-squares
regression (PLSR)
Point clouds, 3-D, 85, 88–90, 316–320, 326–328
Polar Orbiting Environmental Satellites
(POES), 323
Pollination, 452–453
Polyphenols, 109, 178–179
Post-processing, 52–56
LiDAR, 243
Precipitation
predicing biodiversity from, 255–263
Principal component analysis (PCA), 17, 64,
161, 272–274, 324, 392, 430
PROBA CHRIS, 91
PROSPECT, 65, 367–368, 370–372
Protected area monitoring, 460–461
Proximal remote sensing, 402
using canopy level spectroscopy, 412
PSE, see Phylogenetic species evenness (PSE)
PSR, see Phylogenetic species richness (PSR)
PSV, see Phylogenetic species variability (PSV)
Python, 274
Q
QPhenoMetrics, 454
QuickBird, 284
Quick Scatterometer (QuickSCAT), 230
R
R, 274, 463
Radar, 329–333, 472
ground penetrating, 230, 234
main contributions, 332
vs. optical data, 331
Radar signal polarizations, 330
RADARSAT-1 & 2, 237
Radiative transfer models (RTMs), 64–67, 84,
93–94, 290, 392, 393
modeling intercomparison (RAMI), 85
validation of trait predictions, 94–95
model inversion, 513
Radiometric correction, 416
Radiometric resolution, 145, 271, 289, 334
Rainfall
and airborne remote sensing, 361
ecosystem states and, 459–460
estimating with remote sensing, 235
RAMI, see Radiation transfer modeling
intercomparison (RAMI)
Random forest, 274, 293
Rangelands
remote sensing of invasive alien
species in, 279
Rao’s Q, 322
Rapid Assessment Program, 105
Rapid Ecosystem Function Assessment
(REFA), 462
Index