State Key Laboratory of Hydroscience and Engineering, Department of
Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Collaborative Innovation Center for Integrated Management of Water
Resources and Water Environment in the Inner Mongolia Reaches of the Yellow
River, Hohhot 010018, China
State Key Laboratory of Hydroscience and Engineering, Department of
Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Collaborative Innovation Center for Integrated Management of Water
Resources and Water Environment in the Inner Mongolia Reaches of the Yellow
River, Hohhot 010018, China
Yanhong Cui
State Key Laboratory of Hydroscience and Engineering, Department of
Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Collaborative Innovation Center for Integrated Management of Water
Resources and Water Environment in the Inner Mongolia Reaches of the Yellow
River, Hohhot 010018, China
Water Conservancy and Civil Engineering College, Inner Mongolia Key
Laboratory of Water Resource Protection and Utilization, Inner Mongolia
Agricultural University, Hohhot 010018, China
Collaborative Innovation Center for Integrated Management of Water
Resources and Water Environment in the Inner Mongolia Reaches of the Yellow
River, Hohhot 010018, China
Jing Lu
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
This study blends advantages of altimetry backscattering coefficients and waveforms to estimate ice thickness for lakes without in situ data and provides an improved water level estimation for ice-covered lakes by jointly using different threshold retracking methods. Our results show that a logarithmic regression model is more adaptive in converting altimetry backscattering coefficients into ice thickness, and lake surface snow has differential impacts on different threshold retracking methods.
This study blends advantages of altimetry backscattering coefficients and waveforms to estimate...
