|
avhrr |
4 |
|
deep learning |
4 |
|
longwave radiation |
4 |
|
advanced baseline imager (abi) |
2 |
|
advanced himawari imager (ahi) |
2 |
|
ahi |
2 |
|
albedo (love) |
2 |
|
algorithm |
2 |
|
all-sky |
2 |
|
annual mean value |
2 |
|
atmosphere |
2 |
|
attribution |
2 |
|
brdf |
2 |
|
carbon cycle |
2 |
|
ceres |
2 |
|
climate change |
2 |
|
climate variables |
2 |
|
cloudy-sky |
2 |
|
consistent estimation |
2 |
|
coupled radiative transfer (rt) model |
2 |
|
coupled radiative transfer model |
2 |
|
cover change analysis |
2 |
|
crop growth model |
2 |
|
crop growth models |
2 |
|
crop modeling |
2 |
|
crop yield prediction |
2 |
|
data assimilation |
2 |
|
deep neural network |
2 |
|
driver contribution rates |
2 |
|
ensemble kalman filter (enkf) |
2 |
|
ensemble learning |
2 |
|
fapar |
2 |
|
feedback effects |
2 |
|
forests |
2 |
|
fraction forest cover |
2 |
|
fraction of absorbed photosynthetically active radiation |
2 |
|
fraction of absorbed photosynthetically active radiation (fapar) |
2 |
|
fy-3b medium-resolution spectral imager (mersi) |
2 |
|
gaofen-2 |
2 |
|
geostationary satellite |
2 |
|
glass |
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 |
|
incident shortwave radiation |
2 |
|
inversion |
2 |
|
ismn |
2 |
|
joint-output rf |
2 |
|
lai |
2 |
|
land |
2 |
|
land continuous variable estimator |
2 |
|
land surface |
2 |
|
land surface temperature |
2 |
|
land surface temperature (lst) |
2 |
|
land-surface parameter |
2 |
|
landsat |
2 |
|
landsat-8 |
2 |
|
leaf area index |
2 |
|
leaf area index (lai) |
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 |
|
moderate resolution imaging spectroradiometer (modis) |
2 |
|
modis |
2 |
|
msdcnn |
2 |
|
multiple parameters |
2 |
|
multiple sensors |
2 |
|
multiple variables |
2 |
|
multiscale |
2 |
|
net radiation |
2 |
|
northern china |
2 |
|
optimization |
2 |
|
polder |
2 |
|
proba-v |
2 |
|
radiation and energy budget |
2 |
|
radiative transfer |
2 |
|
radiative transfer models (rtms) |
2 |
|
random forest |
2 |
|
random forest regression |
2 |
|
remote sensing |
2 |
|
remotely sensed parameter |
2 |
|
satellite |
2 |
|
satellite products |
2 |
|
satellite remote sensing |
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 albedo |
2 |
|
surface emissivity |
2 |
|
surface energy balance principle |
2 |
|
surface longwave radiation |
2 |
|
surface shortwave radiation |
2 |
|
three-north region of china |
2 |
|
time series |
2 |
|
top of atmosphere (toa) |
2 |
|
top-of-atmosphere (toa) |
2 |
|
trend analysis |
2 |
|
upwelling longwave radiation (lwup) |
2 |
|
validation |
2 |
|
viirs |
2 |
|
viirs and modis |
2 |
|
viirs product |
2 |
|
visible infrared imaging radiometer suite (viirs) |
2 |
|
yield simulation |
2 |
|
aeronet |
1 |
|
albedo |
1 |
|
aod |
1 |
|
asymptotic radiative transfer (art) model |
1 |
|
bidirectional reflectance distribution function (brdf) |
1 |
|
canopy height |
1 |
|
cloud absorption radiometer (car) |
1 |
|
evaluation |
1 |
|
favd |
1 |
|
forest |
1 |
|
forest canopy height |
1 |
|
forward-scattering effect |
1 |
|
full-waveform lidar |
1 |
|
hyperspectral reflectance |
1 |
|
leaf area index(lai) |
1 |
|
lidar |
1 |
|
mcd43a3 |
1 |
|
merra |
1 |
|
misr |
1 |
|
polarization and directionality of the eartha's reflectances (polder) |
1 |
|
radiative transfer model |
1 |
|
semiempirical kernel-driven model |
1 |
|
snow |
1 |
|
spot |
1 |
|
three-dimensional (3-d) model |
1 |
