A new framework for monitoring flood inundation using readily available satellite data

被引：23

作者：

Parinussa, Robert M. ^{[1
]}

Lakshmi, Venkat ^{[2
]}

Johnson, Fiona M. ^{[1
]}

Sharma, Ashish ^{[1
]}

机构：

[1] Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW, Australia

[2] Univ S Carolina, Dept Earth & Ocean Sci, Columbia, SC 29208 USA

来源：

GEOPHYSICAL RESEARCH LETTERS | 2016年 / 43卷 / 06期

基金：

澳大利亚研究理事会;

关键词：

land surface temperature; soil moisture; flooding; warnings; LAND-SURFACE TEMPERATURE; SOIL-MOISTURE; WATER-RESOURCES; PRODUCTS; ALGORITHM; MICROWAVE;

D O I：

10.1002/2016GL068192

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Floods are deadly natural disasters that have large social and economic impact. Their impact can be reduced through near real-time warning systems utilizing information from satellite remote sensing for flood tracking and forecasting. In this study we formulate that differences in day and night land surface temperature (LST) are a skillful predictor for inundation and can serve parallel to soil moisture in warning systems. Satellite measurements of LST and soil moisture revealed distinct spatial patterns for the extreme hydrological conditions that Australia has encountered since 2002. A significant flood revealed large negative LST anomalies whereas droughts corresponded to positive anomalies. LST and soil moisture showed distinct behavior prior to flooding as anomalies displayed gradual build up, suggesting signals could be valuable in flood warning systems. Strong agreement was found between LST, antecedent precipitation index, and soil moisture anomalies over Australia and the Murray Darling Basin. This indicates their skills to represent wetness state, an important input additional to precipitation in flood warning systems.

引用

页码：2599 / 2605

页数：7

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