首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >MAPPING RICE CROPPING SYSTEM IN THE LOWER GANGETIC PLAIN USING LANDASAT 8 (OLI) AND MODIS IMAGERY
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MAPPING RICE CROPPING SYSTEM IN THE LOWER GANGETIC PLAIN USING LANDASAT 8 (OLI) AND MODIS IMAGERY

机译:利用LANDSAT 8(OLI)和MODIS IMAGERY绘制下下部平原的水稻种植系统

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The Indo-Gangetic basin is one of the productive rice growing areas in South-East Asia. Within this extensive flat fertile land, lower Gangetic basin, especially the south Bengal, is most intensively cultivated. In this study we map the rice growing areas using Moderate Resolution Imaging Spectroradiometer (MODIS) derived 8-day surface reflectance product from 2014 to 2015. The time series vegetation and wetness indices such as Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI) were used in the decision tree (DT) approach to detect the rice fields. The extracted rice pixels were compared with Landsat OLI derived rice pixels. The accuracy of the derived rice fields were computed with 163 field locations, and further compared with statistics derived from Directorate of Economics and Statistics (DES). The results of the estimation shows a high degree of correlation (r?=?0.9) with DES reported area statistics. The estimated error of the area statistics while compared with the Landsat OLI was ±15%. The method, however, shows its efficiency in tracing the periodic changes in rice cropping area in this part of Gangetic basin and its neighboring areas.
机译:印度—恒河盆地是东南亚水稻生产的地区之一。在这片广阔而肥沃的土地上,恒河下游盆地,特别是孟加拉南部,被最密集地耕种。在这项研究中,我们使用中分辨率成像光谱仪(MODIS)绘制了2014年至2015年的8天表面反射率产品,绘制了水稻种植区的图。时间序列植被和湿度指数,如归一化植被指数(NDVI),增强植被指数(决策树(DT)方法中使用了EVI和土地表面水指数(LSWI)来检测稻田。将提取的稻米像素与Landsat OLI衍生的稻米像素进行比较。通过163个田地计算得出的稻田的准确性,并与经济统计局(DES)得出的统计数据进行了进一步比较。估计结果表明,与DES报告的区域统计数据具有高度相关性(r?=?0.9)。与Landsat OLI相比,区域统计的估计误差为±15%。然而,该方法显示了其在追踪恒河盆地这一部分及其邻近地区稻作面积周期性变化方面的效率。

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