Tropical Vegetation Mappjng with Combined Visible and Sar Spaceborne Data

E. Nezry, E. Mougin, A. Lopes, J. Gastellu-Etchegorry, F. Zagolski, Y. Laumonier
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Abstract

Within the tropics, due to high cloud cover, vegetation monitoring can only be achieved by using both visible and microwave spaceborne data. In the present study, Shuttle Imaging Radar (SIR-B) data and SPOT data acquired over central Sumatra are used in a supervised classification of vegetation. Emphasis is put on SAR data utilization. Assessment of SAR data potentialities is carried out by using (1) SIR-B imagery alone, and (2) combined SJR-B and SPOT data. The article describes the methodology developed for exploiting the SIR-B image including raw data analysis, image filtering and image classification. Finally, combined filtered SIR-B imagery and SPOT data are used jointly in a supervised classification leading to a better discrimination of surface units. These results indicate the unique capabilities of combined visible and SAR data for monitoring tropical vegetation, especially for forest/non-forest discrimination.
结合可见光和Sar星载数据的热带植被制图
在热带地区,由于高云量,植被监测只能通过同时使用可见光和微波星载数据来实现。在本研究中,利用在苏门答腊中部获得的航天飞机成像雷达(SIR-B)数据和SPOT数据对植被进行监督分类。重点介绍了SAR数据的利用。通过(1)单独使用SIR-B图像和(2)将SJR-B和SPOT数据结合使用,对SAR数据的潜力进行评估。本文介绍了SIR-B图像开发的方法,包括原始数据分析、图像滤波和图像分类。最后,结合滤波后的SIR-B图像和SPOT数据进行监督分类,从而更好地识别地表单元。这些结果表明,结合可见光和SAR数据监测热带植被的独特能力,特别是在森林/非森林区分方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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