Estimating snow depth Inversion Model Assisted Vector Analysis based on temperature brightness for North Xinjiang region of China

@article{Chen2020EstimatingSD,
  title={Estimating snow depth Inversion Model Assisted Vector Analysis based on temperature brightness for North Xinjiang region of China},
  author={Lianjun Chen and BalaAnand Muthu and Sivaparthipan Cb},
  journal={European Journal of Remote Sensing},
  year={2020},
  volume={54},
  pages={265 - 274}
}
ABSTRACT The measurement of snow depth based on temperature brightness with passive microwave sensing is still achallenging problem. Snow depth for the snow cover hydrological model and climate model is asignificant input parameter. Hence, this study concentrates on Inversion Model Assisted Vector Analysis (IMAV) for estimating snow depth in north Xinjiang based on the brightness of temperature. Further, the estimated set of IMAV has been hybridized to address the problem. The results suggested… Expand
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Guest editorial of the special issue “remote sensing in water management and hydrology”
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