首页> 外文会议>Asian conference on remote sensingACRS >INVESTIGATING THE POSIBILITY OF MONITORING THE RECOVERY OF TSUNAMI DAMAGES PADDY FIELDS USING MODIS 16 DAYS COMPOSITE NDVI
【24h】

INVESTIGATING THE POSIBILITY OF MONITORING THE RECOVERY OF TSUNAMI DAMAGES PADDY FIELDS USING MODIS 16 DAYS COMPOSITE NDVI

机译:使用MODIS 16天复合NDVI调查监测海啸损失稻田损坏稻田的可能性

获取原文

摘要

On March 11, 2011, the magnitude 9.0 earthquake struck Tohoku Area of Japan. At that time, a large-scale tsunami associated with the earthquake hit the large area along the coast of Tohoku Area including many paddy fields. In the previous study, the authors have investigated the possibility of using MODIS 16 days composite NDVI for monitoring the recovery condition of the tsunami damaged paddy fields. The authors have selected a number of test sites for normal paddy fields, inundated inshore paddy fields, and inundated inland paddy fields. Usually, the NDVI of typical paddy field gradually increase from May to August and suddenly decreases in September to October due to harvesting. However, in the damaged paddy fields, the NDVI did not increase much. However, once the paddy fields are recovered, the seasonal NDVI pattern became almost the same as that of normal paddy field. The results well matched with the paddy recovery report provided from the local government. However, the 16 days composite NDVI often showed abnormally low values mainly due to snow and clouds. These abnormal data make it difficult to identify the recovery condition of the paddy fields. The authors have examined the ways to identify the abnormal NDVI values and interpolated them with the NDVI of before and after the event. The result suggested that the abnormal values are well removed without removing the reduction pattern affected by the tsunami.
机译:2011年3月11日,9.0级地震袭击了日本东海道地区。那时,与地震相关的大型海啸沿着沿东北地区的海岸袭击了包括许多稻田的大面积。在以前的研究中,作者已经研究了使用MODIS 16天复合NDVI来监测海啸损坏稻田的恢复条件的可能性。作者选择了普通稻田的一些测试站点,淹没了inshore稻田和淹没的内陆稻田。通常,典型的稻田的NDVI从5月到8月逐渐增加,由于收获,9月至10月突然下降。但是,在损坏的稻田中,NDVI没有增加。但是,一旦恢复稻田,季节性NDVI模式就像普通稻田一样。结果与地方政府提供的稻谷恢复报告良好。然而,16天的复合NDVI通常显示出异常低的值,主要是由于雪和云。这些异常数据使得难以识别稻田的恢复条件。作者已经审查了识别异常NDVI值的方法,并用事件前后的NDVI内插它们。结果表明,在不去除受海啸影响的减少模式的情况下,异常值被释放得很好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号