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首页> 外文会议>Asian conference on remote sensingACRS >EVALUATION OF VEGETATION DENSITY CHANGES IN SUBURBAN AREA: A CASE STUDY OF ISTANBUL METROPOLITAN AREA
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EVALUATION OF VEGETATION DENSITY CHANGES IN SUBURBAN AREA: A CASE STUDY OF ISTANBUL METROPOLITAN AREA

机译：郊区植被密度变化评价 - 以伊斯坦布尔大都市区为例

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In this study, vegetation changes in 39 Istanbul districts of between 1984 and 2011 were analyzed using Landsat 5 TM satellite sensor images. Satellite sensor images were registered to each other in order to ensure the locational and geometric accuracy in multi-temporal analysis. In the next step, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) images were calculated from registered images. NDWI images were then subtracted from NDVI images in order to minimize the detractive effects of water bodies on NDVI. All of the 39 districts were subset from modified NDVI images for the dates 1984 and 2011. Mean values of NDVI for each district were calculated and these values were weighted with comparison of one districts mean NDVI value to others. In last step, vegetation change from 1984 to 2011 for each district was calculated using liner interpolation method and district scale vegetation change density map was created for whole Istanbul. Results showed that, methodology presented in this study can simply and effectively determine the spatial distribution of vegetation and vegetation density change in rapidly urbanized cities.
机译：在这项研究中，使用Landsat 5 TM卫星传感器图像分析了1984年至2011年间的39个伊斯坦布尔地区的植被变化。卫星传感器图像彼此登记，以确保多时间分析中的基本和几何准确性。在下一步中，从注册图像计算归一化差异植被指数（NDVI）和归一化差异水指数（NDWI）图像。然后从NDVI图像中减去NDWI图像以最小化水体对NDVI的裂微效应。 39个地区的所有39个地区都是1984年和2011年的修改NDVI图像。计算每个地区的NDVI的平均值，并且随着一个地区的比较而对其他地区的比较来加权这些值。最后一步，使用衬垫插值法计算每个地区的1984年至2011年的植被变化，为整个伊斯坦布尔创建了地区规模植被变化密度图。结果表明，本研究中呈现的方法可以简单有效地确定快速城市化城市的植被和植被密度变化的空间分布。

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