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Exploration of the potential for hydrologic monitoring via passive microwave remote sensing with a new footprint-based algorithm

Li, Dongyue
http://rave.ohiolink.edu/etdc/view?acc_num=osu1306249556

Abstract Details

2011, Master of Science, Ohio State University, Geodetic Science and Surveying.
Snow is an important component of hydrology and climate at both local and global scales. In-situ snowpack measurements provide accurate, reliable data on snowpack properties, but represent only a point measurement of the spatially variable snow cover, lacking spatial continuity. Spaceborne passive microwave remote sensing (PM) measurements are attractive for snowpack characterization due to their continuous global coverage, but a drawback of coarse spatial resolution. In this paper, a footprint based method is developed to improve the PM snow measurements by extracting more information on snow properties. Several experiments carried out in Kern River Basin, Sierra Nevada, USA show PM data processed via the new method contain significant snowpack information, especially information on snow water equivalent (SWE) and melt timing, which are two most important snow properties. When compared with the traditionally used PM dataset, the newly processed data show three times more sensitivity to in-situ SWE, and a 9.6% increase in the correlation coefficient between SWE and PM measurements: both indicate the new data processing method has the capability to improve the PM data's sensitivity to snow.
Michael Durand, PhD (Committee Chair)
Alan Saalfeld, PhD (Committee Member)
Civil Engineering; Earth; Geographic Information Science; Geophysical
passive microwave remote sensing; snow water equivalent; climate; AMSR-E; Sierra Nevada

Recommended Citations

Citations

  • Li, D. (2011). Exploration of the potential for hydrologic monitoring via passive microwave remote sensing with a new footprint-based algorithm [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306249556

    APA Style (7th edition)

  • Li, Dongyue. Exploration of the potential for hydrologic monitoring via passive microwave remote sensing with a new footprint-based algorithm. 2011. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1306249556.

    MLA Style (8th edition)

  • Li, Dongyue. "Exploration of the potential for hydrologic monitoring via passive microwave remote sensing with a new footprint-based algorithm." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306249556

    Chicago Manual of Style (17th edition)

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© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.