Department of Geography, Indiana University Bloomington, 701 E. Kirkwood Avenue, Bloomington, IN 47405, USA
Xuesong Zhang
Hydrology and Remote Sensing Laboratory, United States Department of Agriculture Agricultural Research Service, Bldg. 007, Rm. 104, BARC-West, Beltsville, MD 20705-2350, USA
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Total article views: 3,924 (including HTML, PDF, and XML)
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2,918
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3,924
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PDF: 859
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Total: 3,924
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Views and downloads (calculated since 19 Sep 2023)
Cumulative views and downloads
(calculated since 19 Sep 2023)
Total article views: 1,965 (including HTML, PDF, and XML)
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1,589
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1,965
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HTML: 1,589
PDF: 324
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Total: 1,965
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BibTeX: 73
EndNote: 88
Views and downloads (calculated since 06 Dec 2024)
Cumulative views and downloads
(calculated since 06 Dec 2024)
Total article views: 1,959 (including HTML, PDF, and XML)
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1,329
535
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HTML: 1,329
PDF: 535
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Total: 1,959
Supplement: 236
BibTeX: 78
EndNote: 131
Views and downloads (calculated since 19 Sep 2023)
Cumulative views and downloads
(calculated since 19 Sep 2023)
Viewed (geographical distribution)
Total article views: 3,924 (including HTML, PDF, and XML)
Thereof 3,837 with geography defined
and 87 with unknown origin.
Total article views: 1,965 (including HTML, PDF, and XML)
Thereof 1,893 with geography defined
and 72 with unknown origin.
Total article views: 1,959 (including HTML, PDF, and XML)
Thereof 1,944 with geography defined
and 15 with unknown origin.
We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.
We studied how streamflow and water quality models respond to land cover data collected by...
