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Forest monitoring by using polarimetric sar: a preliminary result

Bambang Trisasongko (1)and Mahmud Raimadoya(1)

(1) Remote Sensing Labs, Bogor Agricultural University, Bogor, Indonesia

Abstract

Global Forest Watch ranks Indonesia as one of the top five tropical forest-rich countries in the world, with more than a hundred million hectares. Rainforestweb.org claimed that Indonesia has already lost an estimated 72 percent of its original frontier forest, and half of what remains is currently threatened. About 21 percent of Indonesia's forests are protected. Since the forest activities are high, comprehensive monitoring should be done in the period of time. Common approaches for forest resources monitoring in Indonesia is by using Landsat TM or SPOT Multispectral data. However, some parts of Sumatra, Borneo and West Papua are almost cloud-covered and it was difficult to find sufficient images. In this situation, SAR has significant advantages to fill gaps on forest resource data. Many SAR data have been tested for forestry application, including STAR-1, ERS-1, JERS-1, Radarsat, and DORSAR. However, very limited application is utilizing polarimetric radar dataset. In this paper, we present preliminary results on current trend on polarimetric SAR classification based on Entropy-Alpha feature space. This activity is managed under Envisat research AO#869 granted to second author.

 

 

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