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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Tracing the evolution of 2010 Merapi volcanic deposits (Indonesia) based on object-oriented classification and analysis of multi-temporal, very high resolution images
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Tracing the evolution of 2010 Merapi volcanic deposits (Indonesia) based on object-oriented classification and analysis of multi-temporal, very high resolution images

机译:基于面向对象的分类和对多时相,超高分辨率图像的分析,追踪2010年默拉皮火山(印度尼西亚)的演变

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We compare identification, delineation and recording of freshly erupted deposits around active volcanoes from very high resolution optical images with that done by traditional geologic mapping. Object-oriented classification (OOC) and normalized difference spectral indices of vegetation, moisture and soil redness (NDVI, NDWI and NDRSI) have been applied to sub-metric GeoEye-1 and Pleiades images to identify and map pyroclastic and lahar deposits and trace their spatio-temporal evolution over two years, following the 2010 eruption of Merapi Volcano, Indonesia. We could identify several categories of pyroclastic depositional areas, and also map the damaged forest and destroyed cultivated terraces and settlements in the Gendol and Opak River basins on the south flank of the volcano. More than 75% of erupted deposits were delineated semi-automatically unlike the ground geological map based on photo-interpretation of the 2010 GeoEye image and field observations. A temporal image analysis, using bivariate scatter diagrams of the three spectral indices between 2010 and 2012 and a combination of NDWI and NDVI, separated areas affected by surges from unscathed vegetation. Use of NDRSI and NDWI allowed us to differentiate overbank Pyroclastic Density Current deposits from wet lahar deposits. NDRSI values close to 0 refer to scoria-rich pyrodastic deposits.
机译:我们将高分辨率火山影像与传统地质制图所进行的火山喷发附近沉积物的识别,划定和记录进行比较。面向对象的分类(OOC)和植被,水分和土壤发红的归一化差异光谱指数(NDVI,NDWI和NDRSI)已应用于亚度量GeoEye-1和P星系图像,以识别和绘制火成碎屑和拉哈尔沉积物并追踪继2010年印度尼西亚默拉比火山爆发之后的两年内,时空演变。我们可以确定几类火山碎屑沉积区,还可以绘制出火山南侧的金多尔和奥帕克河盆地中受损的森林和受损的耕种阶地和聚落。与基于2010年GeoEye影像的照片解释和野外观测的地面地质图不同,超过75%的喷发沉积物是半自动绘制的。通过使用2010年至2012年之间三个光谱指数的双变量散点图以及NDWI和NDVI的组合,进行时空图像分析,将未受到破坏的植被浪潮影响的区域分开。 NDRSI和NDWI的使用使我们能够区分高滩热碎屑密度活期沉积物和湿拉哈尔沉积物。 NDRSI值接近于0是指富熔渣岩的火山岩沉积物。

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