REMOTE SENSING ANALYSIS OF LAND COVER CHANGE

In Australia, remotely sensed Landsat data is routinely used for mapping and monitoring changes in the extent of woody perennial vegetation. Time series remotely sensed satellite imagery and ground information is used to form multi-temporal classifications of presence/absence of woody cover. Two broad-scale operational land cover change and monitoring projects are based on a series of algorithms and methods developed by the CSIRO. This paper gives an overview of these remote sensing techniques and demonstrates their use in China using a trial site within the Fujian province.

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