|
modis |
7 |
|
digital surface model |
6 |
|
heat stress |
6 |
|
landscape configuration |
6 |
|
population-weighted exposure |
6 |
|
sunlight hour |
6 |
|
urban morphology |
6 |
|
biophysical process |
5 |
|
environmental exposure |
5 |
|
environmental justice |
5 |
|
green spaces |
5 |
|
landsat |
5 |
|
ndvi |
5 |
|
phenocam |
5 |
|
radiative forcing |
5 |
|
surface albedo |
5 |
|
urban environment |
5 |
|
urbanization |
5 |
|
china |
4 |
|
cropland loss |
4 |
|
environmental kuznets curve |
4 |
|
land use change |
4 |
|
autogluon |
3 |
|
brdf correction |
3 |
|
building operation |
3 |
|
coâ‚‚ emissions |
3 |
|
data fusion |
3 |
|
driving factors |
3 |
|
drone/uav |
3 |
|
flower detection |
3 |
|
flower fraction |
3 |
|
geoai |
3 |
|
geospatial big data |
3 |
|
green chromatic coordinate |
3 |
|
greenspace exposure inequality |
3 |
|
guangdong-hong kong-macao greater bay area (gba) |
3 |
|
human mobility |
3 |
|
land surface temperature |
3 |
|
leaf quality |
3 |
|
leaf quantity |
3 |
|
population spatialization |
3 |
|
proximate remote sensing |
3 |
|
residual networks |
3 |
|
resnet50 |
3 |
|
satellite greenspace mapping |
3 |
|
scale effect |
3 |
|
semantic segmentation |
3 |
|
social sensing |
3 |
|
spatial heterogeneity |
3 |
|
tropical forests |
3 |
|
tropical phenology |
3 |
|
aerodynamic resistance |
2 |
|
air pollution |
2 |
|
air temperature |
2 |
|
albedo |
2 |
|
bowen ratio |
2 |
|
building height |
2 |
|
building structure |
2 |
|
cloud and cloud shadow detection |
2 |
|
cooling efficiency |
2 |
|
deep learning |
2 |
|
energy redistribution |
2 |
|
environmental injustice |
2 |
|
evapotranspiration |
2 |
|
forest biophysical effects |
2 |
|
heat anomalies |
2 |
|
high-resolution satellite |
2 |
|
hyperparameter optimization |
2 |
|
india |
2 |
|
individual tree-crown |
2 |
|
land cover types |
2 |
|
machine-learning algorithms |
2 |
|
multi-scale remote sensing |
2 |
|
multi-scale satellite observations |
2 |
|
multifaceted associations |
2 |
|
multiscale |
2 |
|
net ecosystem productivity |
2 |
|
pixel quality control |
2 |
|
planetscope |
2 |
|
reflectance cross-calibration |
2 |
|
remote sensing |
2 |
|
sample |
2 |
|
shapley additive explanations |
2 |
|
soil temperature |
2 |
|
southeast asia |
2 |
|
thermal comfort |
2 |
|
thermal mitigation |
2 |
|
tree height |
2 |
|
tropical areas |
2 |
|
understory microclimate |
2 |
|
urban climate research |
2 |
|
urban green space morphology |
2 |
|
urban heat |
2 |
|
urban land use type |
2 |
|
urban tree growth |
2 |
|
urban vegetation |
2 |
|
urbanization impact |
2 |
|
3d computer model |
1 |
|
a posteriori variance estimation |
1 |
|
absorption aerosol optical depth |
1 |
|
accuracy assessment |
1 |
|
aerosol optical depth |
1 |
|
albedo products |
1 |
|
analytical model |
1 |
|
angstrom exponent |
1 |
|
angular normalization |
1 |
|
anisotropic reflectance |
1 |
|
bidirectional reflectance |
1 |
|
bidirectional reflectance distribution function (brdf) |
1 |
|
bidirectional reflectance distribution function (brdf) /bidirectional reflectance factor (brf) |
1 |
|
black-sky albedo (bsa) |
1 |
|
brdf |
1 |
|
brdf/brf |
1 |
|
canopy brf |
1 |
|
canopy reflectance |
1 |
|
canopy reflectance (cr) modeling |
1 |
|
canopy structure |
1 |
|
canopy variability |
1 |
|
changting |
1 |
|
clear-sky conditions |
1 |
|
climate and phenology regime |
1 |
|
climate change |
1 |
|
climatic driver |
1 |
|
clumping index |
1 |
|
component spectra |
1 |
|
composite slope |
1 |
|
composite sloping terrain |
1 |
|
consistent surface reflectance |
1 |
|
cost function |
1 |
|
dart |
1 |
|
dart model |
1 |
|
dendroclimatology |
1 |
|
diffuse skylight |
1 |
|
diffuse skylight (skyl) |
1 |
|
digital elevation model |
1 |
|
digital photography |
1 |
|
directional anisotropies |
1 |
|
directional anisotropy |
1 |
|
downward surface shortwave radiation (dssr) |
1 |
|
downward surface solar radiation (dssr) |
1 |
|
drought |
1 |
|
effective leaf area index (lai) |
1 |
|
energy budget |
1 |
|
energy factor |
1 |
|
eos land validation core sites |
1 |
|
equivalent slope |
1 |
|
exclusion distance |
1 |
|
explicit method (em) |
1 |
|
flux tracing |
1 |
|
forest |
1 |
|
forest plantations |
1 |
|
frt model |
1 |
|
gap fraction |
1 |
|
geolocation bias |
1 |
|
geometric optical (go) |
1 |
|
geometric-optical (go) modeling |
1 |
|
geometrical optical model (gom) |
1 |
|
global land surface satellite (glass) |
1 |
|
ground measurement |
1 |
|
himawari ahi |
1 |
|
hot spot |
1 |
|
hypergeometric model |
1 |
|
hyperspectral remote sensing |
1 |
|
image procession |
1 |
|
implicit method (im) |
1 |
|
inter-annual variations |
1 |
|
kernel-driven |
1 |
|
kernel-driven model |
1 |
|
lambertian assumption |
1 |
|
lambertian based model |
1 |
|
land surface albedo |
1 |
|
land surface albedo;multi-scale validation |
1 |
|
land surface reflectance |
1 |
|
land surface reflectance (sr) |
1 |
|
leaf abscission and productivity |
1 |
|
leaf angle distribution (lad) |
1 |
|
leaf area index |
1 |
|
leaf functional traits |
1 |
|
leaf inclination angle |
1 |
|
leaf inclination distribution |
1 |
|
leaf optical properties |
1 |
|
leaf reflectance/transmittance |
1 |
|
lst |
1 |
|
mcd43a3 |
1 |
|
mcd43a3 c6 |
1 |
|
measurement |
1 |
|
model inversion |
1 |
|
mrt-basedmodel |
1 |
|
near-infrared reflectance of vegetation (nirv) |
1 |
|
near-surface remote sensing |
1 |
|
non-lambertian model |
1 |
|
normalized difference vegetation index (ndvi) |
1 |
|
optical-thermal |
1 |
|
optics remote sensing |
1 |
|
ordinary least squares (ols) |
1 |
|
path length correction |
1 |
|
path length correction (plc) |
1 |
|
photon recollision probability |
1 |
|
pinus massoniana |
1 |
|
plant adaptive strategy |
1 |
|
quantitative remote sensing |
1 |
|
radiative transfer |
1 |
|
radiative transfer (rt) |
1 |
|
radiosity |
1 |
|
random forest |
1 |
|
ray tracing |
1 |
|
red edge |
1 |
|
reflectance |
1 |
|
remote sensing modeling |
1 |
|
representativeness errors |
1 |
|
rossthick-lisparse-reciprocal (rtlsr) |
1 |
|
rtlsr |
1 |
|
rugged sloped surface |
1 |
|
rugged terrain |
1 |
|
satellite remote sensing |
1 |
|
scale correction |
1 |
|
scattering by arbitrarily inclined leaves (sail) |
1 |
|
sentinel-2 |
1 |
|
shadow factor |
1 |
|
single scattering albedo |
1 |
|
singular value decomposition (svd) |
1 |
|
sky-view factor |
1 |
|
sloped surface |
1 |
|
sloping forest |
1 |
|
sloping sr (ssr) |
1 |
|
sloping terrain |
1 |
|
snow cover |
1 |
|
snow-free albedo |
1 |
|
soil and atmospheric water stresses |
1 |
|
soil contamination |
1 |
|
soil reflectance |
1 |
|
solar-induced chlorophyll fluorescence (sif) |
1 |
|
solo slope |
1 |
|
south china sea |
1 |
|
spatial mismatch |
1 |
|
spectral invariant |
1 |
|
spectral invariants theory |
1 |
|
sst reconstruction |
1 |
|
standardization |
1 |
|
subtopography |
1 |
|
sunlight availability |
1 |
|
sunlit foliage component |
1 |
|
surface heterogeneity |
1 |
|
surface radiation |
1 |
|
terrain |
1 |
|
terrain parameter |
1 |
|
tibetan plateau |
1 |
|
topographic correction |
1 |
|
topographic correction assessment |
1 |
|
topographic effect |
1 |
|
topographic effects |
1 |
|
topographic normalization |
1 |
|
topography |
1 |
|
tropical evergreen forests |
1 |
|
tropical forest |
1 |
|
tropical leaf phenology |
1 |
|
unimodal and bimodal phenology |
1 |
|
upscaling |
1 |
|
urban temperature |
1 |
|
validation |
1 |
|
vegetation |
1 |
|
volumetric scattering kernel |
1 |
|
white-sky albedo (wsa) |
1 |
