作者: Werapong Koedsin , Alfredo Huete
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摘要: The rubber stand age information is an important variable for determining the distribution of carbon pools and fluxes in plantation ecosystems as well production management. This study demonstrates capability high spatial resolution satellite imagery with help feature selection (i.e., Sequential Forward Floating Selection) to improve accuracy mapping. It was found that Pleiades Selection can successfully classify stands age. total testing improved from 94.07% 94.92% 96.61% after applying Principal Component algorithms, respectively. Since methodology proposed this accurately 3 classes age, it anticipated be used a guideline tree mapping other areas.