Spectrally Enhanced Remote Sensing Approaches to Monitor Forest Changes

초록

The types and characteristics of forest change can be divided into several categories of temporal and spatial scales. To define the changes of forest vegetation in Korean peninsula as well as in East Asia, however, it is required to solve several problems related to spectral separation of subtle differences among various forest change types. In preprocessing stages, the radiometric distortions caused by atmospheric conditions, solar angles, and topographic relief sometimes overwhelm the subtle differences in target reflectance observed from satellite. To extract more detailed information on forest vegetation over mountainous topography, pertinent correction algorithms should be applied. Hyperspectral image data would be great potential to monitor forest vegetation and the preliminary field remote sensing is critical to the successful of such spectrally enhanced data type