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In recent years, the environment has deteriorated and the sandstorm has been serious around Beijing regions, so monitoring vegetation change in Beijing and Tianjin sandstorm source control area is very important. The vegetation change of Beijing and Tianjin sandstorm source control area in 2008 was studied using MOD13Q1 NDVI data. The results have shown that the low coverage vegetation mainly grew...
To monitor the land sandy desertification dynamic change accurately in Duolun, the desertification was classified and evaluated based on the land use point of view and the evaluation index system based on land use was set up. TM image was decomposed by linear spectral mixture mode and the vegetation component of TM image was amended by the high-resolution satellite image to extract the information...
As the low vegetation coverage in arid region, the pixels with full vegetation coverage could not be found for medium and low resolution images and it is influenced by the soil background when vegetation coverage information is extracted using vegetation index. Thus, the accuracy of extracting vegetation coverage in arid areas is not high. To solve this problem, this paper presented the model, which...
The wetland classification of medium-resolution remote sensing images is a difficult problem because the mixed pixel phenomenon is serious. In this study, visual interpretation was used to extract water. Then the traditional and improved linear spectral mixture analysis models were selected to extract other wetland types. Although errors and confusion exist, this method shows satisfying results with...
Drought is one of the major environmental disasters in north China, whereas in recent years it have happened in mid and southern of china seriously, so it is very important to detect and monitor drought periodically at large scale for decision making. Droughts can be assessed with many kinds of indices but it is extremely difficult to quantitatively monitor and predict. Remote sensing is able to supply...
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