Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2023/05/05
  • Journal
  • Indian UGC (journal)
  • Refrences
    83
  • Citations
    2
  • Sijal Dangol Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA ORCID (unauthenticated)
  • Xuesong Zhang USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
  • Xin-Zhong Liang Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA ORCID (unauthenticated)
  • Martha Anderson USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
  • Wade Crow USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
  • Sangchul Lee Department of Environmental Engineering, University of Seoul, Dongdaemun-gu, Seoul 02504, Republic of Korea
  • Glenn E. Moglen USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
  • Gregory W. McCarty USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
Abstract
Cite
Dangol, Sijal, et al. “Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets”. Remote Sensing, vol. 15, no. 9, 2023, p. 2417, https://doi.org/10.3390/rs15092417.
Dangol, S., Zhang, X., Liang, X.-Z., Anderson, M., Crow, W., Lee, S., Moglen, G. E., & McCarty, G. W. (2023). Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets. Remote Sensing, 15(9), 2417. https://doi.org/10.3390/rs15092417
Dangol S, Zhang X, Liang XZ, Anderson M, Crow W, Lee S, et al. Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets. Remote Sensing. 2023;15(9):2417.
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Replicating measured site-scale soil organic carbon dynamics in the U.S. Corn Belt using the SWAT-C model Environmental Modelling & Software
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  • Technology: Environmental technology. Sanitary engineering
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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Improved agricultural Water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling Science of The Total Environment
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Coupling terrestrial and aquatic thermal processes for improving stream temperature modeling at the watershed scale Journal of Hydrology
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  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
5 2021
Evaluating the added value of multi-variable calibration of SWAT with remotely sensed evapotranspiration data for improving hydrological modeling Journal of Hydrology
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Geology
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
31 2021
Citations
Title Journal Journal Categories Citations Publication Date
Modeling lateral carbon fluxes for agroecosystems in the Mid-Atlantic region: Control factors and importance for carbon budget Science of The Total Environment
  • Geography. Anthropology. Recreation: Environmental sciences
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
2024
Combining Hydrological Models and Remote Sensing to Characterize Snowpack Dynamics in High Mountains

Remote Sensing
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  • Technology: Photography
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Citations Analysis
The category Geography. Anthropology. Recreation: Environmental sciences 2 is the most commonly referenced area in studies that cite this article.