Variographic analysis of tropical forest cover from multi-scale remotely sensed imagery |
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| Authors: | Sergio Colombo Mario Chica-Olmo Francisco Abarca Hugh Eva |
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| Affiliation: | a Centro de Investigación y Formación Agraria (CIFA) of the Andalucia Government, C/ Camino de Purchil s/n, Apdo. 2027, 18080, Granada, Spain;b Department of Geodynamics /CEAMA, Faculty of Sciences, University of Granada, Avda. Fuentenueva s/n, 18071, Granada, Spain;c Global Vegetation Monitoring Unit, Institute for Environment and Sustainability, DG Joint Research Centre of the European Commission, 21020 Ispra (VA), Italy |
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| Abstract: | Tropical forest mapping is one of the major environmental concerns at global and regional scales in which remote sensing techniques are firmly involved. This study examines the use of the variogram function to analyse forest cover fragmentation at different image scales. Two main aspects are considered here: (1) analysis of the spatial variability structure of the forest cover observed at three different scales using fine, medium and coarse spatial resolution images; and (2) the study of the relationship between rescaled images from the finest spatial resolution and those of the medium and coarse spatial resolutions. Both aspects are analysed using the variogram function as a basic tool to calculate and interpret the spatial variability of the forest cover. An example is presented for a Brazilian tropical forest zone using satellite images of different spatial resolutions acquired by Landsat TM (30 m), Resurs MSU (160 m) and ERS ATSR (1000 m). The results of this study contribute to establishing a suitable spatial resolution of remotely sensed data for tropical forest cover monitoring. |
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| Keywords: | remote sensing tropical forest cover variogram spatial variability structure multi-scale analysis |
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