Water Level Reconstruction and Prediction Based on Space-Borne Sensors: A Case Study in the Mekong and Yangtze River Basins

Sensors
Qing HeKwok Pan Chun

Abstract

Water level (WL) measurements denote surface conditions that are useful for monitoring hydrological extremes, such as droughts and floods, which both affect agricultural productivity and regional development. Due to spatially sparse in situ hydrological stations, remote sensing measurements that capture localized instantaneous responses have recently been demonstrated to be a viable alternative to WL monitoring. Despite a relatively good correlation with WL, a traditional passive remote sensing derived WL is reconstructed from nearby remotely sensed surface conditions that do not consider the remotely sensed hydrological variables of a whole river basin. This method's accuracy is also limited. Therefore, a method based on basin-averaged, remotely sensed precipitation from the Tropical Rainfall Measuring Mission (TRMM) and gravimetrically derived terrestrial water storage (TWS) from the Gravity Recovery and Climate Experiment (GRACE) is proposed for WL reconstruction in the Yangtze and Mekong River basins in this study. This study examines the WL reconstruction performance from these two remotely sensed hydrological variables and their corresponding drought indices (i.e., TRMM Standardized Precipitation Index (TRMM-SPI) and GRAC...Continue Reading

References

Sep 13, 2003·Science·Douglas E Alsdorf, Dennis P Lettenmaier
Feb 28, 2006·Environmental Monitoring and Assessment·Jiqun ZhangMasataka Watanabe

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Citations

Aug 25, 2020·Disaster Medicine and Public Health Preparedness·Tara KediaKaitlin Rainwater-Lovett

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Software Mentioned

SPI
GRACE
TRMM
DSI

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