Title :
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
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;
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
DOI :
10.1109/Multi-Temp.2011.6005060