干旱区生态环境知识资源中心(Arid): Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem

Arid

DOI	10.3390/rs14020372
	Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem
	Nassar, Ayman; Torres-Rua, Alfonso; Hipps, Lawrence; Kustas, William; McKee, Mac; Stevens, David; Nieto, Hector; Keller, Daniel; Gowing, Ian; Coopmans, Calvin
通讯作者	Nassar, A (corresponding author)，Utah State Univ, Dept Civil & Environm Engn, Logan, UT 84322 USA. ; Nassar, A (corresponding author)，Utah State Univ, Utah Water Res Lab, Logan, UT 84322 USA.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:2
英文摘要	Understanding the spatial variability in highly heterogeneous natural environments such as savannas and river corridors is an important issue in characterizing and modeling energy fluxes, particularly for evapotranspiration (ET) estimates. Currently, remote-sensing-based surface energy balance (SEB) models are applied widely and routinely in agricultural settings to obtain ET information on an operational basis for use in water resources management. However, the application of these models in natural environments is challenging due to spatial heterogeneity in vegetation cover and complexity in the number of vegetation species existing within a biome. In this research effort, small unmanned aerial systems (sUAS) data were used to study the influence of land surface spatial heterogeneity on the modeling of ET using the Two-Source Energy Balance (TSEB) model. The study area is the San Rafael River corridor in Utah, which is a part of the Upper Colorado River Basin that is characterized by arid conditions and variations in soil moisture status and the type and height of vegetation. First, a spatial variability analysis was performed using a discrete wavelet transform (DWT) to identify a representative spatial resolution/model grid size for adequately solving energy balance components to derive ET. The results indicated a maximum wavelet energy between 6.4 m and 12.8 m for the river corridor area, while the non-river corridor area, which is characterized by different surface types and random vegetation, does not show a peak value. Next, to evaluate the effect of spatial resolution on latent heat flux (LE) estimation using the TSEB model, spatial scales of 6 m and 15 m instead of 6.4 m and 12.8 m, respectively, were used to simplify the derivation of model inputs. The results indicated small differences in the LE values between 6 m and 15 m resolutions, with a slight decrease in detail at 15 m due to losses in spatial variability. Lastly, the instantaneous (hourly) LE was extrapolated/upscaled to daily ET values using the incoming solar radiation (R-s) method. The results indicated that willow and cottonwood have the highest ET rates, followed by grass/shrubs and treated tamarisk. Although most of the treated tamarisk vegetation is in dead/dry condition, the green vegetation growing underneath resulted in a magnitude value of ET.
英文关键词	evapotranspiration (ET) natural environment ecosystem spatial heterogeneity wavelet energy discrete wavelet transform (DWT) sUAS remote sensing TSEB model Upper Colorado River Basin San Rafael River corridor water resources management
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:000757056700001
WOS关键词	ENERGY-BALANCE ; LAND-SURFACE ; HYDROLOGICAL MODELS ; RESOLUTION ; FLUXES ; IMPACT ; TOWER ; COVER ; RIVER ; SOIL
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376690
作者单位	[Nassar, Ayman; Torres-Rua, Alfonso; McKee, Mac; Stevens, David] Utah State Univ, Dept Civil & Environm Engn, Logan, UT 84322 USA; [Nassar, Ayman; Torres-Rua, Alfonso; McKee, Mac; Stevens, David; Gowing, Ian] Utah State Univ, Utah Water Res Lab, Logan, UT 84322 USA; [Hipps, Lawrence] Utah State Univ, Dept Plants Soils & Climate, Logan, UT 84322 USA; [Kustas, William] USDA ARS, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA; [Nieto, Hector] Complutum Tecnol Informac Geog SL COMPLUTIG, Alcala De Henares 28801, Spain; [Keller, Daniel] Utah Div Wildlife Resources, Salt Lake City, UT 84116 USA; [Coopmans, Calvin] Utah State Univ, Dept Elect & Comp Engn, Logan, UT 84322 USA
推荐引用方式 GB/T 7714	Nassar, Ayman,Torres-Rua, Alfonso,Hipps, Lawrence,et al. Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem[J],2022,14(2).
APA	Nassar, Ayman.,Torres-Rua, Alfonso.,Hipps, Lawrence.,Kustas, William.,McKee, Mac.,...&Coopmans, Calvin.(2022).Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem.REMOTE SENSING,14(2).
MLA	Nassar, Ayman,et al."Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem".REMOTE SENSING 14.2(2022).