Regional Actual Evapotranspiration Estimation with Land and Meteorological Variables Derived from Multi-Source Satellite Data

Wu, Bingfang; Zhu, Weiwei; Niu, Y.; Xing, Qiang; Xu, Jiaming; Ma, Zonghan; Wang, Linjiang

doi:10.3390/rs12020332

Cited by 30 publications

(21 citation statements)

References 94 publications

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“…Water shortage in the Colorado River Basin is one of the major threats to riparian ecosystems. In drylands, more than 90% of continental precipitation returns to the atmosphere in the form of ET [53,54]. A sound understanding of riparian plant transpiration and quantification of water use in arid land ecosystems is integral to predicting water balance changes that can be due to drought and increasing maximum temperatures; changing temporal patterns of precipitation and timing of monsoon rains [55][56][57][58]; and increases in salinity, fire, land clearing, and land use activities [59][60][61][62].…”

Section: The Lower Colorado River: Water Accounting and Evapotranspirmentioning

confidence: 99%

Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020

et al. 2021

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Declines in riparian ecosystem greenness and water use have been observed in the delta of the Lower Colorado River (LCR) since 2000. The purpose of our case study was to measure these metrics on the U.S. side of the border between Hoover and Morelos Dams to see if declining greenness was unique to the portion of the river in Mexico. In this case study, five riparian reaches of the LCR from Hoover to Morelos Dam since 2000 were studied to evaluate trends in riparian ecosystem health. We measure these riparian woodlands using remotely sensed measurements of the two-band Enhanced Vegetation Index (EVI2; a proxy for greenness); daily evapotranspiration (ET; mmd−1) using EVI2 (ET(EVI2)); and an annualized ET based on EVI2, the Phenology Assessment Metric (PAM ET), an annualized ET using Landsat time-series. A key finding is that riparian health and its water use has been in decline since 2000 on the U.S. portion of the LCR, depicting a loss of green vegetation over the last two decades. EVI2 results show a decline of −13.83%, while average daily ET(EVI2) between the first and last decade had a decrease of over 1 mmd−1 (−27.30%) and the respective average PAM ET losses were 170.91 mmyr−1 (−17.95%). The difference between the first and last five-year periods, 2000–2005 and 2016–2020, showed the largest decrease in daily ET(EVI) of 1.24 mmd−1 (−32.61%). These declines come from a loss in healthy, green, riparian plant-cover, not a change in plant water use efficiency nor efficient use of managed water resources. Our results suggest further deterioration of biodiversity, wildlife habitat and other key ecosystem services on the U.S. portion of the LCR.

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Section: The Lower Colorado River: Water Accounting and Evapotranspirmentioning

confidence: 99%

Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020

et al. 2021

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“…As mentioned above, the annual mean ET can be approximately regarded as equal to the mean annual precipitation, because there's no runoff exchange between the closed Heihe River Basin and adjacent regions. Though there are some limitations without considering factors like soil moisture and irrigation, it is still utilized in some closed river basins [49]. Table 4 presents the summary of the results of the water balance assessment.…”

Section: Assessment Of the Synthesized Et Datasetmentioning

confidence: 99%

“…Additionally, there are also ET datasets that have been developed from hydrological models, such as TerraClimate, in which the actual ET is derived from a onedimensional soil water balance model [48]. For regional ET datasets covering Northern China, the representatives include the ETWatch product [49], an operational ET product based on the surface energy balance and Penman-Monteith (PM) equation, and CR ET product [50], a complementary relationship (CR)-based diagnostic ET product for the Chinese terrestrial surface.…”

Section: Introductionmentioning

confidence: 99%

“…The available ET products differ in their model inputs, parameterizations and algorithms, leading to varying degrees of uncertainties [51,52]. Thus, it is challenging to select a proper ET dataset that accurately represents the hydroclimatic features of a region [49]; therefore, the evaluation of ET results is essential to ensure reliability [53]. Among the evaluation methods, EC in situ field measurements and hydrological records are most widely applied as reference data for validating various ET estimates at the pixel and basin-wide levels, respectively, in various ET-related studies [54][55][56][57][58].…”

Section: Introductionmentioning

confidence: 99%

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Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China

Wang

Elnashar

et al. 2021

Remote Sensing

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As a vital role in the processes of the energy balance and hydrological cycles, actual evapotranspiration (ET) is relevant to many agricultural, ecological and water resource management studies. The available global or regional ET products provide ET estimations with various temporal ranges, spatial resolutions and calculation methods (algorithms, inputs and parameterization, etc.), leading to varying degrees of introduced uncertainty. Northern China is the main agriculturally productive region supporting the whole country; thus, understanding the spatial and temporal changes in ET is essential to ensure water resource and food security. We developed a synthesis ET dataset for Northern China at a 1000 m spatial resolution, with a monthly temporal resolution covering a period ranging from 1982 to 2017, using an in-depth assessment of several ET products. Specifically, assessments were performed using in situ measured ET from eddy covariance (EC) observation towers at the site-pixel scale over interannual months under the conditions of different land cover types, climatic zones and elevation levels to select the most optimally performing ET products to be used in the synthesized ET dataset. Eight indicators under 21 conditions were involved in the assessment sheet, while the statistics of the different ET product occurrences and corresponding ratios were analyzed to select the best-performing ET products to build the synthesis ET dataset using the weighted mean method. The weights were determined by the Taylor skill score (TSS), calculated with ET products and EC ET observation data. Based on the assessment results, the Penman–Monteith–Leuning (PML_v2), ETWatch and Operational Simplified Surface Energy Balance (SSEBop) datasets were selected for implementation in the synthesis ET dataset from 2003 to 2017, while Global Land Evaporation Amsterdam Model (GLEAM) v3.3a, complementary relationship (CR) ET, and Numerical Terradynamic Simulation Group (NTSG) datasets were chosen for the synthesis ET dataset from 1982 to 2002. The weighted mean synthesized results from 2003 to 2017 performed well when compared to the in situ measured EC ET values produced under all of the above conditions, while the synthesized results from 1982 to 2002 performed well through the water balance method in Heihe River Basin. These results can provide more stable ET estimations for Northern China, which can contribute to relevant agricultural, ecological and hydrological studies.

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“…With its broad spatial coverage and high temporal resolution, remote sensing (RS) technology provides a feasible approach to frequently monitor regional ET at low costs and with high efficiency [8]. Accurate surface vegetation cover, albedo, and temperature data provide a solid foundation for the simulation of ET-related physical and physiological processes [9].…”

Section: Introductionmentioning

confidence: 99%

Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture

Niu

et al. 2021

Remote Sensing

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Cropland evapotranspiration (ET) is the major source of water consumption in agricultural systems. The precise management of agricultural ET helps optimize water resource usage in arid and semiarid regions and requires field-scale ET data support. Due to the combined limitations of satellite sensors and ET mechanisms, the current high-resolution ET models need further refinement to meet the demands of field-scale ET management. In this research, we proposed a new field-scale ET estimation method by developing an allocation factor to quantify field-level ET variations and allocate coarse ET to the field scale. By regarding the agricultural field as the object of the ET parcel, the allocation factor is calculated with combined high-resolution remote sensing indexes indicating the field-level ET variations under different crop growth and land-surface water conditions. The allocation ET results are validated at two ground observation stations and show improved accuracy compared with that of the original coarse data. This allocated ET model provides reasonable spatial results of field-level ET and is adequate for precise agricultural ET management. This allocation method provides new insight into calculating field-level ET from coarse ET datasets and meets the demands of wide application for controlling regional water consumption, supporting the ET management theory in addressing the impacts of water scarcity on social and economic developments.

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Regional Actual Evapotranspiration Estimation with Land and Meteorological Variables Derived from Multi-Source Satellite Data

Cited by 30 publications

References 94 publications

Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020

Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020

Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China

Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture

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