GSTDTAP  > 资源环境科学
DOI10.1002/2017WR020700
Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach
Sun, Liang1; Anderson, Martha C.1; Gao, Feng1; Hain, Christopher2; Alfieri, Joseph G.1; Sharifi, Amirreza3; McCarty, Gregory W.1; Yang, Yun1; Yang, Yang1; Kustas, William P.1; Mckee, Lynn1
2017-07-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2017
卷号53期号:7
文章类型Article
语种英语
国家USA
英文摘要

The health of the Chesapeake Bay ecosystem has been declining for several decades due to high levels of nutrients and sediments largely tied to agricultural production systems. Therefore, monitoring of agricultural water use and hydrologic connections between crop lands and Bay tributaries has received increasing attention. Remote sensing retrievals of actual evapotranspiration (ET) can provide valuable information in support of these hydrologic modeling efforts, spatially and temporally describing consumptive water use by crops and natural vegetation and quantifying response to expansion of irrigated area occurring with Bay watershed. In this study, a multisensor satellite data fusion methodology, combined with a multiscale ET retrieval algorithm, was applied over the Choptank River watershed located within the Lower Chesapeake Bay region on the Eastern Shore of Maryland, USA to produce daily 30 m resolution ET maps. ET estimates directly retrieved on Landsat satellite overpass dates have high accuracy with relative error (RE) of 9%, as evaluated using flux tower measurements. The fused daily ET time series have reasonable errors of 18% at the daily time step - an improvement from 27% errors using standard Landsat-only interpolation techniques. Annual water consumption by different land cover types was assessed, showing reasonable distributions of water use with cover class. Seasonal patterns in modeled crop transpiration and soil evaporation for dominant crop types were analyzed, and agree well with crop phenology at field scale. Additionally, effects of irrigation occurring during a period of rainfall shortage were captured by the fusion program. These results suggest that the ET fusion system will have utility for water management at field and regional scales over the Eastern Shore. Further efforts are underway to integrate these detailed water use data sets into watershed-scale hydrologic models to improve assessments of water quality and inform best management practices to reduce nutrient and sediment loads to the Chesapeake Bay.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000407895000007
WOS关键词ARTIFICIAL NEURAL-NETWORKS ; MAPPING DAILY EVAPOTRANSPIRATION ; SENSED SURFACE-TEMPERATURE ; ENERGY-BALANCE ; HYDROLOGICAL MODEL ; STOMATAL CONDUCTANCE ; SPATIAL-RESOLUTION ; SATELLITE IMAGERY ; THERMAL IMAGERY ; LANDSAT 8
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/21629
专题资源环境科学
作者单位1.ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA;
2.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA;
3.Univ Maryland, Dept Environm Sci & Technol, College Pk, MD 20742 USA
推荐引用方式
GB/T 7714
Sun, Liang,Anderson, Martha C.,Gao, Feng,et al. Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach[J]. WATER RESOURCES RESEARCH,2017,53(7).
APA Sun, Liang.,Anderson, Martha C..,Gao, Feng.,Hain, Christopher.,Alfieri, Joseph G..,...&Mckee, Lynn.(2017).Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach.WATER RESOURCES RESEARCH,53(7).
MLA Sun, Liang,et al."Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach".WATER RESOURCES RESEARCH 53.7(2017).
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