2020
DOI: 10.3390/rs13010053
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Estimates of Daily Evapotranspiration in the Source Region of the Yellow River Combining Visible/Near-Infrared and Microwave Remote Sensing

Abstract: The spatial variation of surface net radiation, soil heat flux, sensible heat flux, and latent heat flux at different times of the day over the northern Tibetan Plateau were estimated using the Surface Energy Balance System algorithm, data from the FY-2G geostationary meteorological satellite, and microwave data from the FY-3C polar-orbiting meteorological satellite. In addition, the evaporative fraction was analyzed, and the total evapotranspiration (ET) was obtained by the effective evaporative fraction to a… Show more

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Cited by 3 publications
(3 citation statements)
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“…It should be noted that when the effective data volume obtained from a single image is less than 5%, the reusability of the information provided is too low. Therefore, the sample data needs to be pre-processed to remove the initial data with a missing rate greater than 95%, resulting in 1050 groups of data being retained for reconstruction [13]. In addition, the experiment will extract Chl-a concentration data on the first day of each month as monthly product data.…”
Section: Data Source and Preprocessingmentioning
confidence: 99%
“…It should be noted that when the effective data volume obtained from a single image is less than 5%, the reusability of the information provided is too low. Therefore, the sample data needs to be pre-processed to remove the initial data with a missing rate greater than 95%, resulting in 1050 groups of data being retained for reconstruction [13]. In addition, the experiment will extract Chl-a concentration data on the first day of each month as monthly product data.…”
Section: Data Source and Preprocessingmentioning
confidence: 99%
“…Microwave remote sensing offers the possibility of penetrating clouds and circumventing weather effects, rendering it suitable for all-weather monitoring of snow cover extent on a large scale. As such, it is widely employed for extensive snow depth inversion [34][35][36]. However, its spatial resolution often remains relatively lower, and the issue of mixed pixels cannot be avoided, complicating precise monitoring of snow cover at the watershed level.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, ET can be used as a "sensor" of climate change to reflect global climate conditions [7]. Currently, the ET estimation models may be broadly classified as [8]: (1) fully physically models [9][10][11], including the surface energy balance system (SEBA) proposed by Su [12], Shuttleworth and Wallace model [13], two-source model (TSM) [14], and Penman-Monteith algorithms [15][16][17];…”
Section: Introductionmentioning
confidence: 99%