Spatial methods for characterising land cover and detecting land-cover changes for the tropics
作者： J. M. Read , N. S-.N. Lam
DOI: 10.1080/01431160110106140
关键词: Land use 、 Geography 、 Thematic map 、 Land cover 、 Fractal dimension 、 Normalized Difference Vegetation Index 、 Spatial analysis 、 Thematic Mapper 、 Cartography 、 Diversity index
摘要: Characterising land cover and detecting land-cover changes using spatial methods is an area of research that has been attracting increasing attention recently. We compare performances selected pattern recognition for characterising different covers unclassified Landsat Thematic Mapper (TM) data a lowland site in north-eastern Costa Rica. Two statistics (fractal dimension, the isarithm triangular prism surface (TPSA) methods, Moran's I index autocorrelation) landscape indices (Shannon's diversity index, contagion, fractal dimension from perimeter/area) were investigated. Mean values each metric type calculated subset areas representing forest, agriculture, pasture, scrub, all seven Landsat-TM bands Normalized Difference Vegetation Index (NDVI). Fractal ( D TPSA ) found to be useful complexity data, whereas stand...
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