气候变化领域集成服务门户(CCPortal): Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales

CCPortal

DOI	10.1016/j.rse.2020.112189
	Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales
	Anderson M.C.; Yang Y.; Xue J.; Knipper K.R.; Yang Y.; Gao F.; Hain C.R.; Kustas W.P.; Cawse-Nicholson K.; Hulley G.; Fisher J.B.; Alfieri J.G.; Meyers T.P.; Prueger J.; Baldocchi D.D.; Rey-Sanchez C.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Land-surface temperature retrieved from thermal infrared (TIR) remote sensing has proven to be a valuable constraint in surface energy balance models for estimating evapotranspiration (ET). For optimal utility in agricultural water management applications, frequent thermal imaging (<4-day revisit) at sub-field (100 m or less) spatial resolution is desired. While, the current suite of Landsat satellites (7 and 8) provides the required spatial resolution, the 8-day combined revisit can be inadequate to capture rapid changes in surface moisture status or crop phenology, particularly in areas of persistent cloud cover. The new ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission, with an average 4-day revisit interval and nominal 70-m resolution, provides a valuable research platform for augmenting Landsat TIR sampling and for investigating TIR-based ET mapping mission requirements more broadly. This study investigates the interoperability of Landsat and ECOSTRESS imaging for developing ET image timeseries with high spatial (30-m) and temporal (daily) resolution. A data fusion algorithm is used to fuse Landsat and ECOSTRESS ET retrievals at 30 m with daily 500-m retrievals using TIR data from the Moderate Resolution Imaging Spectroradiometer (MODIS) over target agricultural sites spanning the United States.The added value of the combined multi-source dataset is quantified in comparison with daily flux tower observations collected within these target domains. In addition, we investigate ET model performance as a function of ECOSTRESS view angle, overpass time, and time separation between TIR and Landsat visible to shortwave infrared (VSWIR) data acquisitions used to generate land-surface temperature, leaf area index, and albedo inputs to the surface energy balance model. The results demonstrate the value of the higher temporal sampling provided by ECOSTRESS, especially in areas that are frequently impacted by cloud cover. Limiting usage to ECOSTRESS scenes collected between 9:00 a.m. to 5:00 p.m. and nadir viewing angles <20° yielded daily (24-h) ET retrievals of comparable quality to the well-tested Landsat baseline. We also discuss challenges in using land-surface temperature from a thermal free-flyer system for ET retrieval, which may have ramifications for future TIR water-use mapping missions. © 2020
英文关键词	ECOSTRESS; Evapotranspiration; Land-surface temperature; Landsat; Surface energy balance; Thermal infrared; Water use
语种	英语
scopus关键词	Agricultural robots; Agriculture; Atmospheric temperature; Data fusion; Energy balance; Evapotranspiration; Image resolution; Infrared imaging; Interfacial energy; Interoperability; Mapping; Radiometers; Remote sensing; Space stations; Surface measurement; Surface properties; Water management; Water supply; Agricultural water management; Data fusion algorithm; Moderate resolution imaging spectroradiometer; Short wave infrared; Spatial resolution; Surface energy balance modeling; Surface energy balance models; Thermal infrared remote sensing; Land surface temperature; cloud cover; energy balance; evapotranspiration; land surface; Landsat; numerical model; phenology; remote sensing; satellite imagery; spatial resolution; water management; United States; Satellites
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179095
作者单位	USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Atmospheric Turbulence and Diffusion Division, National Oceanic and Atmospheric Administration, Oak Ridge, TN, United States; USDA ARS, National Laboratory for Agriculture and The Environment, Ames, IA, United States; University of California – Berkeley, Berkeley, CA, United States
推荐引用方式 GB/T 7714	Anderson M.C.,Yang Y.,Xue J.,et al. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales[J],2021,252.
APA	Anderson M.C..,Yang Y..,Xue J..,Knipper K.R..,Yang Y..,...&Rey-Sanchez C..(2021).Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales.Remote Sensing of Environment,252.
MLA	Anderson M.C.,et al."Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales".Remote Sensing of Environment 252(2021).