干旱区生态环境知识资源中心(Arid): An Assessment of Surface Water Detection Methods for Water Resource Management in the Nigerien Sahel

Arid

DOI	10.3390/s20020431
	An Assessment of Surface Water Detection Methods for Water Resource Management in the Nigerien Sahel
	Herndon, Kelsey 1,2; Muench, Rebekke 1,2; Cherrington, Emil 1,2; Griffin, Robert 1,3
通讯作者	Herndon, Kelsey
来源期刊	SENSORS
EISSN	1424-8220
出版年	2020
卷号	20 期号:2
英文摘要	Water is a scarce, but essential resource in the Sahel. Rainfed ephemeral ponds and lakes that dot the landscape are necessary to the livelihoods of smallholder farmers and pastoralists who rely on these resources to irrigate crops and hydrate cattle. The remote location and dispersed nature of these water bodies limits typical methods of monitoring, such as with gauges; fortunately, remote sensing offers a quick and cost-effective means of regularly measuring surface water extent in these isolated regions. Dozens of operational methods exist to use remote sensing to identify waterbodies, however, their performance when identifying surface water in the semi-arid Sahel has not been well-documented and the limitations of these methods for the region are not well understood. Here, we evaluate two global dynamic surface water datasets, fifteen spectral indices developed to classify surface water extent, and three simple decision tree methods created specifically to identify surface water in semi-arid environments. We find that the existing global surface water datasets effectively minimize false positives, but greatly underestimate the presence and extent of smaller, more turbid water bodies that are essential to local livelihoods, an important limitation in their use for monitoring water availability. Three of fifteen spectral indices exhibited both high accuracy and threshold stability when evaluated over different areas and seasons. The three simple decision tree methods had mixed performance, with only one having an overall accuracy that compared to the best performing spectral indices. We find that while global surface water datasets may be appropriate for analysis at the global scale, other methods calibrated to the local environment may provide improved performance for more localized water monitoring needs.
英文关键词	remote sensing spectral indices Landsat 8 OLI West Africa
类型	Article
语种	英语
国家	USA
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000517790100105
WOS关键词	INDEX NDWI ; CLASSIFICATION ; VARIABILITY ; EXTRACTION
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315566
作者单位	1.NASA, SERVIR Sci Coordinat Off, Marshall Space Flight Ctr, Huntsville, AL 35899 USA; 2.Univ Alabama, Earth Syst Sci Ctr, Huntsville, AL 35899 USA; 3.Univ Alabama, Dept Atmospher & Earth Sci, Huntsville, AL 35899 USA
推荐引用方式 GB/T 7714	Herndon, Kelsey,Muench, Rebekke,Cherrington, Emil,et al. An Assessment of Surface Water Detection Methods for Water Resource Management in the Nigerien Sahel[J],2020,20(2).
APA	Herndon, Kelsey,Muench, Rebekke,Cherrington, Emil,&Griffin, Robert.(2020).An Assessment of Surface Water Detection Methods for Water Resource Management in the Nigerien Sahel.SENSORS,20(2).
MLA	Herndon, Kelsey,et al."An Assessment of Surface Water Detection Methods for Water Resource Management in the Nigerien Sahel".SENSORS 20.2(2020).