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SARvi: A Vegetation Index Based on AirSAR Data for South Pacific Volcanic Islands Vegetation Mapping

机译:Sarvi:基于南太平洋火山群岛植被映射的航空数据的植被指数

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With about 120 islands located on 5 million square kilometers in the South East Pacific, French Polynesian islands are sometime difficult to reach and study precisely the vegetation. Remote Sensing is a very promising tool for vegetation mapping of these islands. Searching for a standard vegetation index, we found that the vegetation indexes based on low-resolution sensors (NDVI, RVI, etc...) are not precise enough to map the vegetation because of the small surface of most islands (a few square kilometers). We therefore applied those vegetation indexes formula on medium resolution images (MASTER) and higher resolution images (Quickbird) but the capability of these vegetation indexes to discern various classes of vegetation is limited. Two examples on Moorea (Society Archipelago) and Tubuai (Australes Archipelago) are discussed. We thus propose SARvi: a new empirical and simple vegetation index based on AirSAR Data, using the vegetation polarimetric properties. A study of this index shows its capability to distinguish more details in the vegetation structural properties than the previously studied vegetation indexes.
机译:大约120个岛屿位于东南太平洋500万平方公里,法国波利尼西亚群岛有时难以达到植被。遥感是这些岛屿的植被映射的非常有希望的工具。寻找标准植被指数,我们发现,基于低分辨率传感器(NDVI,RVI等)的植被指标对于大多数岛屿表面(几平方公里) )。因此,我们将这些植被指数在中分辨率图像(母版)和更高分辨率图像(Quickbird)应用于辨别各种植被的植被指标的能力是有限的。讨论了Moorea(Seight Archipelago)和Tubuai(澳门群岛)的两个例子。因此,我们提出了Sarvi:使用植被偏振特性,基于Airsar数据的新经验和简单的植被指数。对该指标的研究表明其能力区分植被结构特性的更多细节,而不是先前研究的植被指标。

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