Difference between revisions of "Fractional Snow Cover Mapping from Modis Data over European Alps by Multivariate Adaptive Regression Splines"
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Latest revision as of 07:34, 30 July 2019
by: Semih Kuter, Zuhal Akyürek, Gerhard-Wilhelm Weber
Outline
- Introduction
- Significance of snow cover mapping
- MODIS and snow cover mapping techniques
- Data Set and Methodology
- Multivariate Adaptive Regression Splines (MARS)
- Study area
- Satellite imagery and preprocessing
- Experimental design and performance measures
- Discussion of the Results
- Conclusion and Outlook
Introduction
- Need for timely and accurate snow cover mapping:
- May cover up to 40% of the Earth's surface,
- Energy and water cycle of Earth,
- High reflectance and low thermal conductivity,
- A significant determinant of the Earth's radiation budget,
- A vital source of irrigation and drinking water supply,
- A major input component of General Circulation Models.
Link to material: http://ifors.org/wp-content/uploads/2017/04/170214-EARSeL-Kuter_Akyurek_Weber.pdf
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