|
modis |
6 |
|
remote sensing |
5 |
|
avhrr |
4 |
|
climate change |
4 |
|
crop growth model |
4 |
|
deep learning |
4 |
|
lai |
4 |
|
leaf area index |
4 |
|
longwave radiation |
4 |
|
radiative transfer |
4 |
|
time series |
4 |
|
ceres |
3 |
|
consistent estimation |
3 |
|
data assimilation |
3 |
|
fapar |
3 |
|
fraction of absorbed photosynthetically active radiation (fapar) |
3 |
|
glass |
3 |
|
incident shortwave radiation |
3 |
|
inversion |
3 |
|
landsat |
3 |
|
leaf area index (lai) |
3 |
|
moderate resolution imaging spectroradiometer (modis) |
3 |
|
net radiation |
3 |
|
satellite remote sensing |
3 |
|
surface albedo |
3 |
|
surface emissivity |
3 |
|
advanced baseline imager (abi) |
2 |
|
advanced himawari imager (ahi) |
2 |
|
ahi |
2 |
|
albedo |
2 |
|
albedo (love) |
2 |
|
algorithm |
2 |
|
all-sky |
2 |
|
annual mean value |
2 |
|
atmosphere |
2 |
|
atmospheric correction |
2 |
|
attribution |
2 |
|
biodiversity and ecosystem functioning |
2 |
|
brdf |
2 |
|
broadband emissivity |
2 |
|
carbon cycle |
2 |
|
china |
2 |
|
climate |
2 |
|
climate variables |
2 |
|
cloudy-sky |
2 |
|
coupled radiative transfer (rt) model |
2 |
|
coupled radiative transfer model |
2 |
|
cover change analysis |
2 |
|
crop growth models |
2 |
|
crop modeling |
2 |
|
crop yield prediction |
2 |
|
data fusion |
2 |
|
deep neural network |
2 |
|
deforestation |
2 |
|
direct estimation |
2 |
|
driver contribution rates |
2 |
|
earth’s energy budget |
2 |
|
energy budget |
2 |
|
enrichment planting |
2 |
|
ensemble kalman filter |
2 |
|
ensemble kalman filter (enkf) |
2 |
|
ensemble kalman filter technique (enkf) |
2 |
|
ensemble learning |
2 |
|
evapotranspiration |
2 |
|
feedback effects |
2 |
|
forest degradation |
2 |
|
forest restoration |
2 |
|
forests |
2 |
|
fraction forest cover |
2 |
|
fraction of absorbed photosynthetically active radiation |
2 |
|
fy-3b medium-resolution spectral imager (mersi) |
2 |
|
gaofen-2 |
2 |
|
gcms |
2 |
|
geostationary satellite |
2 |
|
gewex |
2 |
|
glass produces |
2 |
|
glass products |
2 |
|
global land surface satellite (glass) products |
2 |
|
globalirradiance |
2 |
|
hapke model |
2 |
|
hi-glass |
2 |
|
high resolution |
2 |
|
high spatial resolution |
2 |
|
high-resolution |
2 |
|
hyperion |
2 |
|
ismn |
2 |
|
joint-output rf |
2 |
|
land |
2 |
|
land continuous variable estimator |
2 |
|
land cover change |
2 |
|
land surface |
2 |
|
land surface albedo |
2 |
|
land surface temperature |
2 |
|
land surface temperature (lst) |
2 |
|
land-surface parameter |
2 |
|
landsat-8 |
2 |
|
latent heat flux |
2 |
|
long time series |
2 |
|
long-term variability |
2 |
|
lstm |
2 |
|
machine learning |
2 |
|
machine learning algorithm ensemble |
2 |
|
markov chain monte carlo (mcmc) |
2 |
|
mie theory |
2 |
|
msdcnn |
2 |
|
multiple parameters |
2 |
|
multiple sensors |
2 |
|
multiple variables |
2 |
|
multiscale |
2 |
|
northern china |
2 |
|
northern hemisphere |
2 |
|
optimization |
2 |
|
parameterization |
2 |
|
photosynthetically active radiation |
2 |
|
plant functional type (pft) |
2 |
|
polder |
2 |
|
proba-v |
2 |
|
radiation and energy budget |
2 |
|
radiative forcing |
2 |
|
radiative transfer models (rtms) |
2 |
|
radiative transfer theory |
2 |
|
random forest |
2 |
|
random forest regression |
2 |
|
real-time inversion |
2 |
|
reanalysis |
2 |
|
remotely sensed parameter |
2 |
|
retrieval |
2 |
|
sabah biodiversity experiment |
2 |
|
satellite |
2 |
|
satellite products |
2 |
|
selective logging |
2 |
|
sensible heat flux |
2 |
|
shortwave observation |
2 |
|
simultaneous estimation |
2 |
|
single-scattering albedo |
2 |
|
soil hyperspectral reflectance model |
2 |
|
soil moisture |
2 |
|
soilspect model |
2 |
|
spatiotemporal analysis |
2 |
|
spatiotemporal distributions |
2 |
|
spatiotemporal variations |
2 |
|
surface energy balance principle |
2 |
|
surface energy budget |
2 |
|
surface longwave radiation |
2 |
|
surface radiation budget |
2 |
|
surface shortwave radiation |
2 |
|
temperature and emissivity separation |
2 |
|
three-north region of china |
2 |
|
top of atmosphere (toa) |
2 |
|
top-of-atmosphere (toa) |
2 |
|
trend analysis |
2 |
|
upwelling longwave radiation (lwup) |
2 |
|
urbanization |
2 |
|
validation |
2 |
|
vegetation index |
2 |
|
viirs |
2 |
|
viirs and modis |
2 |
|
viirs product |
2 |
|
visible infrared imaging radiometer suite (viirs) |
2 |
|
yield simulation |
2 |
|
定量遥感 (quantitative remote sensing) |
2 |
|
气候变化 (climate change) |
2 |
|
气候数据集 (climate data records) |
2 |
|
遥感 (remote sensing) |
2 |
|
4sail |
1 |
|
a priori knowledge |
1 |
|
abi |
1 |
|
accuracy assessment |
1 |
|
adjacency effect |
1 |
|
adjoint model |
1 |
|
advanced land imager (ali) |
1 |
|
advanced spaceborne thermal emission and reflection radiometer |
1 |
|
advanced spaceborne thermal emission and reflection radiometer (aster) |
1 |
|
advanced very high resolution radiometer |
1 |
|
advanced very high resolution radiometer (avhrr) |
1 |
|
advanced very-high-resolution radiometer (avhrr) |
1 |
|
aeronet |
1 |
|
aerosol |
1 |
|
aerosol optical depth |
1 |
|
afforestation |
1 |
|
agricultural greening |
1 |
|
agricultural intensification |
1 |
|
agriculture |
1 |
|
agriculture irrigation |
1 |
|
air temperature inversion (ati) |
1 |
|
airborne visible infrared imaging spectrometer (aviris) |
1 |
|
airborne visible/infrared imaging spectrometer (aviris) |
1 |
|
airs |
1 |
|
albedo climatology |
1 |
|
albedometer |
1 |
|
algorithm evaluation |
1 |
|
algorithms |
1 |
|
ali |
1 |
|
all-sky hybrid model (ahm) |
1 |
|
all-wave net radiation |
1 |
|
all-weather |
1 |
|
alos/avnir |
1 |
|
ameriflux |
1 |
|
amsr |
1 |
|
analytic hierarchy process |
1 |
|
ancillary information |
1 |
|
angular |
1 |
|
angular bin regression |
1 |
|
angular distribution model |
1 |
|
aod |
1 |
|
apparent thermal inertia |
1 |
|
arctic |
1 |
|
arctic environmental protection |
1 |
|
arctic region |
1 |
|
arid and semiarid regions |
1 |
|
arid area |
1 |
|
arid/semi-arid region |
1 |
|
artificial neural network |
1 |
|
artificial neural network (ann) |
1 |
|
asian summer monsoon |
1 |
|
asrcop |
1 |
|
assessment |
1 |
|
assimilation |
1 |
|
aster |
1 |
|
atlantic multidecadal oscillation |
1 |
|
atmosphere-land interaction |
1 |
|
atmospheric modeling |
1 |
|
atmospheric optics |
1 |
|
automatic differentiation |
1 |
|
avhrr surface reflectance cdr |
1 |
|
aviris |
1 |
|
back propagation |
1 |
|
back propagation neural network |
1 |
|
bare soil |
1 |
|
bare soil albedo |
1 |
|
bayesian approach |
1 |
|
bayesian inference |
1 |
|
bayesian inversion |
1 |
|
bayesian maximum entropy |
1 |
|
bayesian model average |
1 |
|
bayesian model averaging |
1 |
|
bayesian model averaging method |
1 |
|
beijing |
1 |
|
beijing metropolitan region |
1 |
|
bidirectional reflectance |
1 |
|
bidirectional reflectance distribution function |
1 |
|
bidirectional reflectance distribution function (brdf) |
1 |
|
bidirectional reflectance factor (brf) |
1 |
|
biodiversity |
1 |
|
biomass |
1 |
|
biomass carbon stock |
1 |
|
biophysical parameters |
1 |
|
biosphere |
1 |
|
bma |
1 |
|
bootstrap aggregation tree |
1 |
|
brdf model |
1 |
|
brf models |
1 |
|
brightness temperature |
1 |
|
brightness temperature (tb) |
1 |
|
broadband albedo |
1 |
|
broadband albedos |
1 |
|
broadband emissivity (bbe) |
1 |
|
buoy data |
1 |
|
cadmium |
1 |
|
canopy biophysical variables |
1 |
|
canopy reflectance |
1 |
|
canopy reflectance model |
1 |
|
carboeurope-ip |
1 |
|
carbon allocation |
1 |
|
casa |
1 |
|
ccd |
1 |
|
ceres-fsw |
1 |
|
cfix |
1 |
|
cflux |
1 |
|
change detection |
1 |
|
chinese gf-1 |
1 |
|
chris |
1 |
|
classification |
1 |
|
clear-sky shortwave radiation |
1 |
|
climate classification |
1 |
|
climate feedback |
1 |
|
climate observations |
1 |
|
climate observing system simulation experiments |
1 |
|
climate variability |
1 |
|
climatic change |
1 |
|
climatology |
1 |
|
cloud detection |
1 |
|
cloud optical depth |
1 |
|
clouds and the earth's radiant energy system (ceres) |
1 |
|
cm saf |
1 |
|
cma |
1 |
|
cmip5 |
1 |
|
cmip6 |
1 |
|
cnn |
1 |
|
cnn-lstm |
1 |
|
combination |
1 |
|
common land model |
1 |
|
component-based |
1 |
|
comprehensive field experiment |
1 |
|
computational efficiency |
1 |
|
contextual information |
1 |
|
contiguous united states |
1 |
|
convolutional neural network |
1 |
|
convolutional neural network (cnn) |
1 |
|
convolutional neural networks |
1 |
|
crop |
1 |
|
crop modelling |
1 |
|
crop monitoring |
1 |
|
crop proportion phenology index (cppi) |
1 |
|
crop yield |
1 |
|
crop yield estimation |
1 |
|
cropland change |
1 |
|
cropland expansion |
1 |
|
cropping system reforms |
1 |
|
cryosphere |
1 |
|
cumulative distribution function |
1 |
|
cyclopes |
1 |
|
daily albedo |
1 |
|
daily evapotranspiration (et) |
1 |
|
daily integrated shortwave net radation |
1 |
|
daily net radiation |
1 |
|
daily radiation |
1 |
|
dark object |
1 |
|
data assimilation; modis |
1 |
|
data integration |
1 |
|
data sets |
1 |
|
data-based mechanistic method |
1 |
|
deep neural networks |
1 |
|
deep-c |
1 |
|
dempster-shafer theory of evidence |
1 |
|
denet |
1 |
|
dhr model |
1 |
|
digital earth |
1 |
|
digital elevation model (dem) |
1 |
|
dimidiate pixel model |
1 |
|
direct estimation algorithm |
1 |
|
direct validation |
1 |
|
direct-estimation algorithm |
1 |
|
directional emissivity |
1 |
|
directional reflectance |
1 |
|
disaggregation |
1 |
|
discrete anisotropic radiative transfer (dart) |
1 |
|
disort |
1 |
|
disturbance intensity |
1 |
|
diurnal |
1 |
|
diurnal temperature cycle |
1 |
|
diurnal temperature cycle (dtc) |
1 |
|
dnn-met |
1 |
|
downscaling |
1 |
|
downward longwave radiation |
1 |
|
downward shortwave radiation |
1 |
|
downward shortwave radiation (dsr) |
1 |
|
downwelling shortwave irradiance |
1 |
|
dssr |
1 |
|
dynamic bayesian network |
1 |
|
dynamic bayesian network (dbn) |
1 |
|
dynamic bayesian networks |
1 |
|
dynamic model |
1 |
|
dynamic monitoring |
1 |
|
dynamic vegetation model |
1 |
|
earth |
1 |
|
earth observation |
1 |
|
earth observing 1 (eo-1) |
1 |
|
earth system science |
1 |
|
earth's energy budget |
1 |
|
ec-lue |
1 |
|
ec-lue model |
1 |
|
eco-environment |
1 |
|
eco-hydrology |
1 |
|
ecological model |
1 |
|
ecological restoration |
1 |
|
ecological restoration policy |
1 |
|
economic value |
1 |
|
ecophysiological constraints |
1 |
|
ecosystem curve fitting (ecf) |
1 |
|
ecosystem resilience |
1 |
|
ecosystem respiration |
1 |
|
ecosystems |
1 |
|
eddy covariance |
1 |
|
elastic net regression |
1 |
|
emissivity |
1 |
|
empirical model |
1 |
|
empirical orthogonal functions |
1 |
|
energy budget/balance |
1 |
|
energy imbalance |
1 |
|
enhanced thematic mapper (etm+) |
1 |
|
enhanced thematic mapper plus (etm+) |
1 |
|
ensemble algorithm |
1 |
|
environmental change |
1 |
|
environmental controls |
1 |
|
environmental drivers |
1 |
|
environmental risk |
1 |
|
eof |
1 |
|
era-interim |
1 |
|
estimation |
1 |
|
et |
1 |
|
etm + |
1 |
|
etm+ |
1 |
|
eurasian boreal forest |
1 |
|
evaluation |
1 |
|
evaluation and assessment |
1 |
|
evaporation |
1 |
|
evaporative drought index |
1 |
|
evidence measures |
1 |
|
evidential reasoning |
1 |
|
extended hybrid model (ehm) |
1 |
|
extrapolation |
1 |
|
extreme drought |
1 |
|
fast ice |
1 |
|
fcover |
1 |
|
fengyun |
1 |
|
fertilization management |
1 |
|
feungyun-3a (fy-3a) |
1 |
|
field biomass |
1 |
|
field crops |
1 |
|
filtering inference algorithm |
1 |
|
finer resolution |
1 |
|
finer spatial resolution satellite data |
1 |
|
flood forecasting |
1 |
|
flood irrigation |
1 |
|
flus model |
1 |
|
flux tower |
1 |
|
fluxes |
1 |
|
fluxnet |
1 |
|
foam |
1 |
|
focal loss temporal convolutional long short-term memory (fl-t-convlstm) |
1 |
|
forest |
1 |
|
forest age |
1 |
|
forest biomass |
1 |
|
forest biomass dynamics |
1 |
|
forest biomass mapping |
1 |
|
forest biomass maps |
1 |
|
forest cover |
1 |
|
forest cover change |
1 |
|
forest disturbances |
1 |
|
four-stream |
1 |
|
fpar |
1 |
|
fraction of absorbed photosynthetically active radiation (fapar) integration |
1 |
|
fraction of photosynthetically active radiation (fpar) |
1 |
|
fractional forest cover (ffc) |
1 |
|
fractional snow cover |
1 |
|
fractional snow cover (fsc) |
1 |
|
fractional vegetation cover |
1 |
|
fractional vegetation cover (fvc) |
1 |
|
fusing |
1 |
|
fusion |
1 |
|
fusion method |
1 |
|
fy-3c/mersi |
1 |
|
gaofen-4 (gf-4) |
1 |
|
gap filling |
1 |
|
gap-filling |
1 |
|
gbrt |
1 |
|
gc-net |
1 |
|
general regression neural networks (grnns) |
1 |
|
generalized split-window (gsw) |
1 |
|
genetic algorithm |
1 |
|
genetic algorithms |
1 |
|
geometric feature |
1 |
|
geometric-optical model |
1 |
|
geoscience laser altimeter system (glas) data |
1 |
|
geostationary |
1 |
|
geostationary operational environmental satellite (goes)-r advanced baseline imager (abi) |
1 |
|
geov1 |
1 |
|
gewex srb 3.0 |
1 |
|
gf |
1 |
|
gf-1 satellite |
1 |
|
gf-1 wide field view (wfv) data |
1 |
|
gimms3g |
1 |
|
gimms3g ndvi |
1 |
|
gis |
1 |
|
glass albedo |
1 |
|
glass fvc product |
1 |
|
glass产品 (glass products) |
1 |
|
global |
1 |
|
global environmental change |
1 |
|
global forest biomass |
1 |
|
global irradiance |
1 |
|
global lai |
1 |
|
global land surface |
1 |
|
global land surface drought |
1 |
|
global land surface satellite |
1 |
|
global land surface satellite (glass) |
1 |
|
global land surface satellite (glass) fractional vegetation cover (fvc) product |
1 |
|
global land surface satellite product |
1 |
|
global latent heat flux |
1 |
|
global products |
1 |
|
global solar radiation |
1 |
|
global terrestrial le |
1 |
|
global vegetation change |
1 |
|
global warming |
1 |
|
global warming potential |
1 |
|
globmap |
1 |
|
goes |
1 |
|
goes sounder |
1 |
|
goes-r |
1 |
|
gosif |
1 |
|
gradient boosting regression tree |
1 |
|
grain for green program |
1 |
|
grand challenges |
1 |
|
granger causality |
1 |
|
grassland |
1 |
|
grassland ecosystems |
1 |
|
green svi |
1 |
|
greenhouse gases |
1 |
|
greening |
1 |
|
greenland |
1 |
|
grey relational analysis |
1 |
|
gross primary production |
1 |
|
gross primary production (gpp) |
1 |
|
ground measurement |
1 |
|
ground meteorological station data |
1 |
|
growing season |
1 |
|
gru |
1 |
|
heat stress and phenology |
1 |
|
heating |
1 |
|
hemispherical emissivity |
1 |
|
hierarchical bayesian modeling |
1 |
|
high latitudes |
1 |
|
high mountains |
1 |
|
high performance computing |
1 |
|
high-resolution products |
1 |
|
high-spatial-resolution products |
1 |
|
himawari |
1 |
|
hj data |
1 |
|
hotspot effect |
1 |
|
hourly surface albedo |
1 |
|
huan-jin satellite 1 (hj-1) |
1 |
|
hurst exponent |
1 |
|
hybrid |
1 |
|
hybrid algorithm |
1 |
|
hybrid et model |
1 |
|
hybrid inversion |
1 |
|
hybrid method |
1 |
|
hybrid methods |
1 |
|
hydrological modeling |
1 |
|
hydrological processes |
1 |
|
hydrus-1d |
1 |
|
hyper spectral |
1 |
|
hyperspectral |
1 |
|
hyperspectral data |
1 |
|
hyperspectral imaging |
1 |
|
hyspiri |
1 |
|
ill-posed |
1 |
|
image characteristics |
1 |
|
image quality |
1 |
|
imaging spectrometry |
1 |
|
imaging spectroscopy |
1 |
|
impervious surface |
1 |
|
in situ measurements |
1 |
|
insolation |
1 |
|
integrated biosphere simulator |
1 |
|
integrated monitoring |
1 |
|
integration algorithm |
1 |
|
integration of physical modeling |
1 |
|
inter-annual variation |
1 |
|
inter-comparison |
1 |
|
interaction effect |
1 |
|
interactive detector for spatial associations |
1 |
|
intercomparison |
1 |
|
interference filter |
1 |
|
international satellite cloud climatology project |
1 |
|
inverse problem |
1 |
|
ipcc ar5 |
1 |
|
isccp |
1 |
|
iterative method |
1 |
|
kalman filter |
1 |
|
kernel-based model |
1 |
|
kernel-driven model |
1 |
|
kirchhoff’s law |
1 |
|
köppen climate classification |
1 |
|
lai application |
1 |
|
lai time series |
1 |
|
land cover |
1 |
|
land cover (lc) |
1 |
|
land cover changes |
1 |
|
land cover classification |
1 |
|
land surface air temperature |
1 |
|
land surface albedo (lsa) |
1 |
|
land surface broadband albedo |
1 |
|
land surface emissivity |
1 |
|
land surface hydrological modeling |
1 |
|
land surface hydrological modelling |
1 |
|
land surface model |
1 |
|
land surface radiative forcing |
1 |
|
land surfaces |
1 |
|
land use |
1 |
|
land use and land cover change |
1 |
|
land-surface broadband albedo |
1 |
|
land-surface emissivity |
1 |
|
land-surface reflectance |
1 |
|
land-surface temperature retrieval |
1 |
|
landsat 5 |
1 |
|
landsat 7 etm+ |
1 |
|
landsat 8 |
1 |
|
landsat albedo |
1 |
|
landsat data |
1 |
|
landsat etm+ |
1 |
|
landsat tm |
1 |
|
landsat-5 tm |
1 |
|
landsat-7 |
1 |
|
landsat-8 oli |
1 |
|
large-scale mapping |
1 |
|
latent heat exchange |
1 |
|
leaf canopy |
1 |
|
length ratio of daytime |
1 |
|
length ratio of daytime (lrd) |
1 |
|
libyan desert |
1 |
|
lidar data |
1 |
|
light use efficiency (lue) |
1 |
|
linear weighting method |
1 |
|
loess plateau |
1 |
|
long time series data |
1 |
|
long-term |
1 |
|
longwave |
1 |
|
longwave downward radiation |
1 |
|
look-up table |
1 |
|
low-frequency linkage |
1 |
|
lut |
1 |
|
machine learning algorithms |
1 |
|
machine learning method |
1 |
|
machine learning methods |
1 |
|
machine learning model |
1 |
|
machine-learning |
1 |
|
maize growth |
1 |
|
maize growth monitoring |
1 |
|
markov chain monte carlo |
1 |
|
master |
1 |
|
medium resolution |
1 |
|
medium-resolution spectral imager (mersi) |
1 |
|
merging |
1 |
|
merging method |
1 |
|
merging technique |
1 |
|
meris |
1 |
|
merra |
1 |
|
mersi |
1 |
|
message passing interface |
1 |
|
meta-analysis |
1 |
|
meteorological measurements |
1 |
|
metric comparison |
1 |
|
metric integration |
1 |
|
microwave sensors |
1 |
|
mid-infrared (mir) |
1 |
|
midseason aeration |
1 |
|
misr |
1 |
|
mk trend test |
1 |
|
mkf |
1 |
|
mod16 |
1 |
|
model |
1 |
|
model assessment |
1 |
|
model comparison |
1 |
|
model parameters |
1 |
|
model projections |
1 |
|
model retrieval |
1 |
|
model simulation |
1 |
|
model uncertainty |
1 |
|
modeling |
1 |
|
moderate-resolution imaging spectrometer |
1 |
|
moderate-resolution imaging spectroradiometer |
1 |
|
moderate-resolution imaging spectroradiometer (modis) |
1 |
|
moderateresolution imaging spectroradiometer (modis) |
1 |
|
modified satellite-based priestley-taylor algorithm |
1 |
|
modified satellite-based priestley-taylor le algorithm |
1 |
|
modis albedo |
1 |
|
modis data |
1 |
|
modis时间序列重建 (modis time series reconstruction) |
1 |
|
modtran |
1 |
|
mountain |
1 |
|
mountains |
1 |
|
mss |
1 |
|
mtsat |
1 |
|
multi angular remote sensing (mars) |
1 |
|
multi-angle imaging spectroradiometer (misr) |
1 |
|
multi-band albedometer |
1 |
|
multi-data set |
1 |
|
multi-resolution tree |
1 |
|
multi-spectral imagery |
1 |
|
multiangle data |
1 |
|
multiangle imaging spectroradiometer (misr) |
1 |
|
multiangle remote sensing |
1 |
|
multimodel ensemble |
1 |
|
multiple datasets |
1 |
|
multiple linear regression |
1 |
|
multiple resolution tree (mrt) |
1 |
|
multiple satellite products |
1 |
|
multiresolution tree (mrt) |
1 |
|
multispectral |
1 |
|
multivariate adaptive regression splines (mars) |
1 |
|
musoexe-12 campaign |
1 |
|
naalsed |
1 |
|
nadir adjusted reflectance |
1 |
|
narrowband emissivity |
1 |
|
national centers for environmental information (ncei) |
1 |
|
national oceanic and atmospheric administration (noaa) ahvrr |
1 |
|
natural effects |
1 |
|
navigability |
1 |
|
ncei |
1 |
|
ndvi |
1 |
|
neighborhood |
1 |
|
net shortwave radiation |
1 |
|
neural network |
1 |
|
neural networks |
1 |
|
neural networks (nns) |
1 |
|
nh tropical expansion |
1 |
|
nir-red spectral space |
1 |
|
nitrogen fertilizer |
1 |
|
noaa-avhrr |
1 |
|
normalized difference vegetation index (ndvi) |
1 |
|
north america |
1 |
|
north american regional reanalysis (narr) |
1 |
|
northeast china |
1 |
|
northeastern china |
1 |
|
northern hemisphere (nh) |
1 |
|
observation errors |
1 |
|
observational evidence |
1 |
|
ocean |
1 |
|
ocean bidirectional reflectance distribution function (brdf) |
1 |
|
ocean brdf |
1 |
|
ocean surface |
1 |
|
ocean water albedo (owa) |
1 |
|
oli |
1 |
|
optical constant |
1 |
|
optical reflection |
1 |
|
optimal interpolation |
1 |
|
orbit drift correction (odc) |
1 |
|
ozflux |
1 |
|
pacific decadal oscillation |
1 |
|
palmer drought severity index |
1 |
|
paniculate media |
1 |
|
par |
1 |
|
parallel computing |
1 |
|
parameter estimation |
1 |
|
parameterization methods |
1 |
|
parameterization scheme |
1 |
|
particle filter |
1 |
|
passive microwave |
1 |
|
penman-monteith |
1 |
|
perpendicular soil moisture index (psi) |
1 |
|
perpendicular vegetation index (pvi) |
1 |
|
phenological features |
1 |
|
photoelectric detector |
1 |
|
pixel dimidiate model |
1 |
|
planetary albedo |
1 |
|
plant functional type |
1 |
|
polar vortex weakening |
1 |
|
polarization |
1 |
|
polarization and directionality of the earth's reflectance (polder) bidirectional reflectance distribution function (brdf) database |
1 |
|
posterior distribution |
1 |
|
potential et |
1 |
|
potential flooding risk |
1 |
|
precipitable water |
1 |
|
precipitation |
1 |
|
priestley-taylor |
1 |
|
priestley-taylor algorithm |
1 |
|
priestley-taylor parameter |
1 |
|
principal component analysis |
1 |
|
principle component analysis (pca) |
1 |
|
process model |
1 |
|
product |
1 |
|
product generation system |
1 |
|
profile-based method |
1 |
|
projection pursuit regression |
1 |
|
promice |
1 |
|
prosail |
1 |
|
pseudoinvariant calibration sites |
1 |
|
pt-jpl algorithm |
1 |
|
pyrgeometers |
1 |
|
quantitative remote sensing inversion |
1 |
|
quantitative remote sensing parameters |
1 |
|
radiance |
1 |
|
radiation |
1 |
|
radiation budget |
1 |
|
radiative flux |
1 |
|
radiative fluxes |
1 |
|
radiative transfer (rt) simulations |
1 |
|
radiative transfer model |
1 |
|
radiometric calibration |
1 |
|
radiometric stability |
1 |
|
random forests |
1 |
|
random kernel |
1 |
|
rangeland |
1 |
|
reanalysis data |
1 |
|
reanalysis product |
1 |
|
reconstruction |
1 |
|
reflectance |
1 |
|
reflectance modelling |
1 |
|
reforestation |
1 |
|
refractive index |
1 |
|
regional climate change |
1 |
|
regression algorithms |
1 |
|
regression tree |
1 |
|
regularized linear regression |
1 |
|
relative contribution |
1 |
|
relative uncertainty |
1 |
|
remote sensing inversion |
1 |
|
remote sensing-penman monteith model |
1 |
|
remotely sensed data |
1 |
|
remotely sensed product |
1 |
|
remotely sensed products |
1 |
|
resource availability |
1 |
|
response of vegetation |
1 |
|
review |
1 |
|
revised remote sensing based penman-monteith le algorithm |
1 |
|
rice paddies |
1 |
|
rt simulations |
1 |
|
rule-based cubist regression |
1 |
|
runoff routing lag |
1 |
|
sarima |
1 |
|
sarima model |
1 |
|
satellite application |
1 |
|
satellite applications |
1 |
|
satellite data |
1 |
|
satellite data product |
1 |
|
satellite observation |
1 |
|
satellite observations |
1 |
|
satellite product |
1 |
|
satellite products validation |
1 |
|
satellite radiation products |
1 |
|
satellite retrieval |
1 |
|
satellite-estimated |
1 |
|
satellites |
1 |
|
scale adjustment |
1 |
|
scale effects |
1 |
|
sea ice |
1 |
|
sea surface |
1 |
|
seawifs |
1 |
|
semi-arid rangeland |
1 |
|
semi-empirical penman le algorithm |
1 |
|
semivariogram |
1 |
|
sensitivity study |
1 |
|
sentinel-2 |
1 |
|
sentinel-2 satellites |
1 |
|
shifts in climate zones |
1 |
|
shortwave |
1 |
|
shortwave infrared reflectance metrics |
1 |
|
shortwave net radiation |
1 |
|
shortwave radiation |
1 |
|
signature |
1 |
|
similarity |
1 |
|
simple averaging method |
1 |
|
simplified surface energy balance index (s-sebi) |
1 |
|
sky radiance distribution |
1 |
|
sloping terrain |
1 |
|
smex |
1 |
|
snow |
1 |
|
snow albedo |
1 |
|
snow cover |
1 |
|
snow cover extent |
1 |
|
snow cover phenology |
1 |
|
snow emissivity spectra |
1 |
|
snow-albedo feedback (saf) |
1 |
|
soil |
1 |
|
soil evaporation |
1 |
|
soil line |
1 |
|
soil reflectance index (sri) |
1 |
|
soil taxonomy |
1 |
|
solar energy |
1 |
|
solar radiation |
1 |
|
sonoran desert |
1 |
|
southwestern china |
1 |
|
space-time estimation |
1 |
|
spatial |
1 |
|
spatial fuzzy overlay |
1 |
|
spatial principal component analysis (spca) |
1 |
|
spatial representativeness |
1 |
|
spatial scaling |
1 |
|
spatial stratified heterogeneity model |
1 |
|
spatio-temporal |
1 |
|
spatio-temporal pattern |
1 |
|
spatio-temporal variation |
1 |
|
spatiotemporal fusion |
1 |
|
spatiotemporal variation |
1 |
|
species richness |
1 |
|
spectral |
1 |
|
spectral albedo |
1 |
|
spectral disturbance magnitude |
1 |
|
spectral emissivity |
1 |
|
spectral mixture analysis |
1 |
|
spectral vegetation index (svi) |
1 |
|
spectral-vertical convolution |
1 |
|
split-window algorithm |
1 |
|
spot/vegetation |
1 |
|
spray irrigation |
1 |
|
spring sensible heat |
1 |
|
srb network (surfrad) |
1 |
|
ssa |
1 |
|
stacking |
1 |
|
standard error of the mean |
1 |
|
stepwise |
1 |
|
stepwise calibration |
1 |
|
stepwise regression |
1 |
|
stl |
1 |
|
streamflow |
1 |
|
subarctic china |
1 |
|
summer drying |
1 |
|
summer rainfall pattern |
1 |
|
sun glint |
1 |
|
sun-induced chlorophyll fluorescence (sif) |
1 |
|
suomi npp |
1 |
|
super-resolution |
1 |
|
support vector regression |
1 |
|
surface air temperature |
1 |
|
surface climate |
1 |
|
surface cooling |
1 |
|
surface downward longwave radiation |
1 |
|
surface downward longwave radiation (sdlr) |
1 |
|
surface downwelling longwave radiation |
1 |
|
surface energy balance |
1 |
|
surface net longwave radiation |
1 |
|
surface photosynthetically active radiation (par) |
1 |
|
surface radiation |
1 |
|
surface radiation budget (srb) |
1 |
|
surface reflectance |
1 |
|
surface runoff |
1 |
|
surface shortwave net radiation |
1 |
|
surface soil moisture |
1 |
|
surface solar irradiance |
1 |
|
surface temperature |
1 |
|
surface upwelling longwave radiation (lwup) |
1 |
|
surface warming |
1 |
|
surfrad |
1 |
|
surrogate model |
1 |
|
svi |
1 |
|
systematic errors |
1 |
|
tal-avhrr |
1 |
|
tal-modis |
1 |
|
taylor skill score |
1 |
|
technology assessment |
1 |
|
temperature |
1 |
|
temperature and emissivity separation (tes) |
1 |
|
temporal |
1 |
|
temporal and spatial filter |
1 |
|
temporal and spatial filtering (tsf) |
1 |
|
temporal features |
1 |
|
temporal filter |
1 |
|
terra |
1 |
|
terra/aqua modis |
1 |
|
terrestrial disturbance |
1 |
|
terrestrial evapotranspiration |
1 |
|
terrestrial latent heat flux |
1 |
|
terrestrial latent heat flux (le) |
1 |
|
terrestrial vegetation trends |
1 |
|
terrestrial water budget |
1 |
|
the hai river basin |
1 |
|
the tibet plateau |
1 |
|
thematic mapper (tm) |
1 |
|
theoretical uncertainty |
1 |
|
thermal contribution assessment |
1 |
|
thermal infrared |
1 |
|
thermal infrared (tir) |
1 |
|
thermal infrared remote sensing |
1 |
|
thermal radiation directionality |
1 |
|
thin-plate smoothing spline |
1 |
|
third-generation global inventory monitoring and modeling system (gimms3g) |
1 |
|
three-north shelter forest program |
1 |
|
three-north shelter forest region |
1 |
|
tibetan plateau |
1 |
|
tidal cracks |
1 |
|
time series analysis |
1 |
|
time series ndvi data |
1 |
|
time-lag effects |
1 |
|
tm |
1 |
|
toa albedo |
1 |
|
toa outgoing longwave radiation |
1 |
|
top of atmosphere |
1 |
|
top-of-atmosphere (toa) albedo |
1 |
|
top-of-atmosphere (toa) flux |
1 |
|
topographic correction |
1 |
|
topographic effect |
1 |
|
topographic effects |
1 |
|
trans-arctic routes |
1 |
|
transfer learning |
1 |
|
transport efficiency |
1 |
|
treeline |
1 |
|
trend |
1 |
|
trend detection |
1 |
|
triticum aestivum l |
1 |
|
trmm |
1 |
|
trust region method |
1 |
|
tvdi |
1 |
|
uncertainty |
1 |
|
uncertainty analysis |
1 |
|
upper elevational limits |
1 |
|
urban climate |
1 |
|
urban expansion |
1 |
|
urban green spaces |
1 |
|
urban land cover |
1 |
|
uwiremis |
1 |
|
value of information |
1 |
|
variable selection |
1 |
|
vegetated surfaces |
1 |
|
vegetation |
1 |
|
vegetation brdf effects |
1 |
|
vegetation cover |
1 |
|
vegetation dynamics |
1 |
|
vegetation greening |
1 |
|
vegetation greenness |
1 |
|
vegetation growth |
1 |
|
vegetation index (vi) |
1 |
|
vegetation indices |
1 |
|
vegetation line |
1 |
|
vegetation productivity |
1 |
|
vegetation temperature condition index |
1 |
|
vegetation transpiration |
1 |
|
vicarious calibration |
1 |
|
vicarious calibration (vc) |
1 |
|
viewing angle |
1 |
|
viirs surface reflectance |
1 |
|
vineyard watershed |
1 |
|
vpm |
1 |
|
vprm |
1 |
|
vulnerability |
1 |
|
warming hiatus |
1 |
|
warming hiatuses |
1 |
|
water balance |
1 |
|
water budget |
1 |
|
water vapor |
1 |
|
water vapor correction |
1 |
|
water vapor scaling |
1 |
|
water-leaving reflectance |
1 |
|
waveform parameters |
1 |
|
weak constraint |
1 |
|
weak-constraint variational data assimilation (wc-vda) |
1 |
|
wheat straw |
1 |
|
wheat yield estimation |
1 |
|
whitecaps |
1 |
|
wide field view data |
1 |
|
wide view of view |
1 |
|
winter wheat |
1 |
|
winter wheat area |
1 |
|
winter wheat yield estimation |
1 |
|
wofost |
1 |
|
wofost model |
1 |
|
yield estimation |
1 |
|
yukon river basin |
1 |
|
中国 (china) |
1 |
|
估产 (yield prediction) |
1 |
|
伴随方程 (adjoining equation) |
1 |
|
作物生长模式 (crop growth model) |
1 |
|
农作物 (crops) |
1 |
|
农作物种植区 (cropping area) |
1 |
|
几何光学建模 (geometric-optical model) |
1 |
|
北极放大 (arctic amplification) |
1 |
|
反演 (inversion) |
1 |
|
叶面积指数 (leaf area index) |
1 |
|
地面观测网 (ground observation networks) |
1 |
|
定量遥感反演 (quantitative remote sensing inversion) |
1 |
|
尺度效应 (scale effect) |
1 |
|
数据融合 (data fusion) |
1 |
|
机器学习 (machine learning methods) |
1 |
|
植被 (vegetation) |
1 |
|
模型反演 (model inversion) |
1 |
|
正则化 (regularization) |
1 |
|
海冰消融 (sea ice melting) |
1 |
|
热红外辐射方向性 (thermal radiation directionality) |
1 |
|
熟制 (cropping system) |
1 |
|
物候 (penology) |
1 |
|
综述 (review) |
1 |
|
能量收支 (energy budget) |
1 |
|
辐射反馈 (radiative feedback) |
1 |
|
遥感云 (remote sensing clouds) |
1 |
|
遥感综合试验 (remote sensing comprehensive experiment) |
1 |
|
陆表 (land) |
1 |
|
非对称高斯函数 (asymmetric gauss function) |
1 |
|
驱动机制 (driving mechanism) |
1 |
|
高级产品 (high-level products) |
1 |
