Spatial and temporal mapping of leaf area index in Alpine pastures and meadows with satellite MODIS imagery

Author

Pasolli, Luca ; Notarnicola, Claudia ; Bruzzone, Lorenzo ; Zebisch, Marc

Author_Institution

Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy

fYear

2011

fDate

12-14 July 2011

Firstpage

109

Lastpage

112

Abstract

This paper presents an improved algorithm for the retrieval of leaf area index (LAI) from satellite MODIS imagery specifically calibrated for Alpine meadows and pastures. The main features of the proposed algorithm, which is based on the inversion of a radiative transfer model, are: i) the improved spatial resolution (250 meters) with respect to the MODIS standard LAI product, and ii) the tuning of the retrieval system on the spectral characteristics of Alpine meadows and pastures. The analysis of a 10 year time series of LAI maps obtained with the proposed algorithm in comparison with both the MODIS standard LAI product and field measurements confirms the effectiveness of the technique presented for spatially and temporally mapping LAI in Alpine areas at regional scale.

Keywords

geophysical image processing; image retrieval; inverse problems; radiative transfer; spatiotemporal phenomena; vegetation; vegetation mapping; Alpine pasture; LAI map; inversion radiative transfer model; leaf area index; meadow; retrieval system; satellite MODIS imagery; spatial mapping; spatial resolution; spectral characteristics tuning; temporal mapping; Computational modeling; Indexes; MODIS; Satellites; Spatial resolution; Table lookup; Vegetation mapping; Alpine area; Leaf Area Index (LAI); Moderate Resolution Imaging Spectroradiometer (MODIS); retrieval techniques;

fLanguage

English

Publisher

ieee

Conference_Titel

Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the

Conference_Location

Trento

Print_ISBN

978-1-4577-1202-9

Type

conf

DOI

10.1109/Multi-Temp.2011.6005060

Filename

6005060