DOI: 10.1002/2016GL069560
论文题名: A novel algorithm for monitoring reservoirs under all-weather conditions at a high temporal resolution through passive microwave remote sensing
作者: Zhang S. ; Gao H.
刊名: Geophysical Research Letters
ISSN: 0094-8780
EISSN: 1944-8511
出版年: 2016
卷: 43, 期: 15 起始页码: 8052
结束页码: 8059
语种: 英语
英文关键词: passive microwave
; remote sensing
; reservoir storage
Scopus关键词: Algorithms
; Developing countries
; Digital storage
; Meteorology
; Microwaves
; Noise abatement
; Reservoirs (water)
; Brightness temperatures
; High temporal resolution
; Passive microwave remote sensing
; Passive microwaves
; Reservoir storage
; Satellite passive microwave
; Training data sets
; Validation results
; Remote sensing
英文摘要: Flood mitigation in developing countries has been hindered by a lack of near real-time reservoir storage information at high temporal resolution. By leveraging satellite passive microwave observations over a reservoir and its vicinity, we present a globally applicable new algorithm to estimate reservoir storage under all-weather conditions at a 4 day time step. A weighted horizontal ratio (WHR) based on the brightness temperatures at 36.5 GHz is introduced, with its coefficients calibrated against an area training data set over each reservoir. Using a predetermined area-elevation (A-H) relationship, these coefficients are then applied to the microwave data to calculate the storage. Validation results over four reservoirs in South Asia indicate that the microwave-based storage estimations (after noise reduction) perform well (with coefficients of determination ranging from 0.41 to 0.74). This is the first time that passive microwave observations are fused with other satellite data for quantifying the storage of individual reservoirs. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84981341600&doi=10.1002%2f2016GL069560&partnerID=40&md5=078202615508ea7e8896643838359521
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9743
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, United States
Recommended Citation:
Zhang S.,Gao H.. A novel algorithm for monitoring reservoirs under all-weather conditions at a high temporal resolution through passive microwave remote sensing[J]. Geophysical Research Letters,2016-01-01,43(15).