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Remote sensing for snow hydrology in China: challenges and perspectives
2014
Journal of Applied Remote Sensing
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Snow is one of the most important components of the cryosphere. Remote sensing of snow focuses on the retrieval of snow parameters and monitoring of variations in snow using satellite data. ...
The importance of the first remote sensing experiment on snow parameters at the upper reaches of the Heihe River Basin, in 2008, is also highlighted. ...
Validation of remote sensing; Input for hydrological models
Snow albedo
CMP3
Validation of remote sensing and radiative transfer models
Snow spectral
SVC HR-1024
Validation of remote sensing and ...
doi:10.1117/1.jrs.8.084687
fatcat:mncxhhtl25etbj3t5sefxhb5dq
Analysis of the Spatial Variability of Land Surface Variables for ET Estimation: Case Study in HiWATER Campaign
2018
Remote Sensing
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Heterogeneity, including the inhomogeneity of landscapes and surface variables, significantly affects the accuracy of evapotranspiration (ET) (or latent heat flux, LE) estimated from remote sensing satellite ...
However, most of the current research uses statistical methods in the mixed pixel to correct the ET or LE estimation error, and there is a lack of research from the perspective of the remote sensing model ...
Qing Xiao of Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, China for providing the WiDAS data. ...
doi:10.3390/rs10010091
fatcat:4lqzemsalratxdbsybsdoeoktq
Development of a High Resolution BRDF/Albedo Product by Fusing Airborne CASI Reflectance with MODIS Daily Reflectance in the Oasis Area of the Heihe River Basin, China
2015
Remote Sensing
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Direct comparisons of the cropland archetypal BRDF and CASI OPEN ACCESS Remote Sens. 2015, 7 6785 albedo with in situ measurements show good agreement. ...
In addition, it can shorten the timescale for coarse spatial resolution product like MODIS. ...
Acknowledgments This work was jointly supported by Chinese Natural Science Foundation Project (NO: 41271368, 91125003) and National Basic Research Program of China (2013CB733401). ...
doi:10.3390/rs70606784
fatcat:o76fgnld7bdihn3ab6cefw7sce
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
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and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging ...
Hu, C., Zhang, B., Dong, X., and Li, Y., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., ...
., +, TGRS Dec. 2019 9534-9543
Impacts and Contributors of Representativeness Errors of In Situ Albedo
Measurements for the Validation of Remote Sensing Products. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4