Fractional Snow Cover Mapping from Modis Data over European Alps by Multivariate Adaptive Regression Splines

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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