Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR020700 |
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 |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
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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