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Relative radiometric normalisation (RRN) is a vital step to achieve radiometric consistency among remote sensing images. Geo-analysis over large areas often involves mosaicking massive remote sensing images. Hence RRN becomes a data-intensive and computing-intensive task. This study implements a parallel RNN method based on the iteratively re-weighted multivariate alteration detection (IR-MAD) transformation...
Monitoring and assessing land degradation is important to local sustainable development in Guizhou province, Southwest China, where limestone distributed about 61.7 %. Using the 1 km Advanced Very High Resolution Radiometer Normalized Difference Vegetation Index (AVHRR/NDVI) data (1992-1993) and 500 m, Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index (MODIS/NDVI)...
Researches have suggested that fuzzy sets form a more appropriate basis for land cover mapping than traditional Boolean classification. However, to give a crisp answer of which land cover types pixels in remote sensing images belong to, fuzzy clustering methods such as FMC always lost some subtle vague information. In this paper, the result of the Boolean classification using a fuzzy clustering method...
The objective of this study was to examine the vegetation response to the climatic variation in Guizhou province, Southwest China. The relationship between vegetation and climate change was investigated with Normalized Difference Vegetation Index (NDVI) (1982-1999) images derived from the Advanced Very High Resolution Radiometer (AVHRR), and climate data acquired from 19 meteorological stations in...
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