干旱区生态环境知识资源中心(Arid): A satellite-based monitoring system for quantifying surface water and mesic vegetation dynamics in a semi-arid region

Arid

DOI	10.1016/j.ecolind.2023.109965
	A satellite-based monitoring system for quantifying surface water and mesic vegetation dynamics in a semi-arid region
	Kolarik, N. E.; Roopsind, A.; Pickens, A.; Brandt, J. S.
通讯作者	Kolarik, NE
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2023
卷号	147
英文摘要	Semi-arid and arid systems cover one third of the earth's land surface, and are becoming increasingly drier, but existing datasets do not capture all of the types of water resources that sustain these systems. In semi-arid environments, small surface water bodies and areas of mesic vegetation (wetlands, wet meadows, riparian zones) function as critical water resources. However, the most commonly-used maps of water resources are derived from the Landsat time series or single date aerial photographs, and are too coarse either spatially or temporally to effectively monitor water resource dynamics. In this study, we produced a Sentinel Fusion (SF) water resources product for a semi-arid mountainous region of the western United States, which includes monthly maps of both a) surface water and b) mesic vegetation at 10 m spatial resolution using freely available Earth observation data on an open access platform. We applied random forest classifiers to optical data from the Sentinel-2 time series, synthetic aperture radar (SAR) data from the Sentinel-1 time series, and topographic variables. We compared our SF product with three commonly used and publicly available datasets in the western U.S. We found that our surface water class contained fewer omission errors than a leading global surface water product in (94 % producer's accuracy (PA) vs 84 %) and comparable user's accuracy (UA) (91 % vs 97 %) with commission errors occurring largely in mixed water pixels. Our mesic vegetation class had up to 43 % higher PAs compared to the National Wetlands Inventory (NWI) estimates and up to 78 % higher UAs over the Sage Grouse Initiative mesic resources maps during the most critical part of the water year. We found that while inclusion of SAR data from the C-band Sentinel-1 sensor consistently improved estimates of water resources in each of the last four months of the 2021 water year when compared to optical-only + topographic variables, only in September did those improvements lie outside of the 95 % confidence interval. With nine times finer spatial resolution and more frequent image collection, our SF maps characterize intra-annual dynamics of smaller water bodies (<30 m wide) and mesic vegetation integral to ecosystem functioning in semi-arid systems compared to leading Landsatderived products. Further, our workflow is easily reproducible using freely available data on an open access platform, and can be adopted to help guide land use decisions related to water resources by farmers, ranchers, and conservationists in semi-arid environments.
英文关键词	Mesic vegetation Water resources Semi -arid Stream restoration monitoring Remote sensing Data fusion
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000931040700001
WOS关键词	SOIL-MOISTURE ; RANDOM FOREST ; TIME-SERIES ; INDEX NDWI ; LANDSAT ; ACCURACY ; IMPACT
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395920
推荐引用方式 GB/T 7714	Kolarik, N. E.,Roopsind, A.,Pickens, A.,et al. A satellite-based monitoring system for quantifying surface water and mesic vegetation dynamics in a semi-arid region[J],2023,147.
APA	Kolarik, N. E.,Roopsind, A.,Pickens, A.,&Brandt, J. S..(2023).A satellite-based monitoring system for quantifying surface water and mesic vegetation dynamics in a semi-arid region.ECOLOGICAL INDICATORS,147.
MLA	Kolarik, N. E.,et al."A satellite-based monitoring system for quantifying surface water and mesic vegetation dynamics in a semi-arid region".ECOLOGICAL INDICATORS 147(2023).