Biophysical parameters mapping within the SPOT-5 Take 5 initiative

Abstract

Leaf area index and Fraction of Absorbed Photosynthetically Active Radiation are important land biophysical parameters that enable monitoring and quantitative assessment of vegetation state. Remote sensing data from space can be used to estimate these parameters at regional and national scale. High temporal satellite imagery is usually required to capture main parameters of crop growth. In this paper, we assess efficiency of using satellite images at high spatial and temporal resolution acquired within the SPOT-5 Take 5 initiative for mapping biophysical parameters.

Keywords

• LAI
• FAPAR
• biophysical parameters
• SPOT-5
• regression modeling
• machine learning