首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta
【24h】

Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta

机译:利用ENVISAT / ASAR广域数据及时绘制湄公河三角洲的稻田

获取原文
获取原文并翻译 | 示例
       

摘要

Because of the importance of rice for the global food security and because of the role of inundated paddy fields in greenhouse gases emissions, monitoring the rice production world-wide has become a challenging issue for the coming years. Local rice mapping methods have been developed previously in many studies by using the temporal change of the backscatter from C-band synthetic aperture radar (SAR) co-polarized data. The studies indicated in particular the need of a high observation frequency. In the past, the operational use of these methods has been limited by the small coverage and the poor acquisition frequency of the available data (ERS-1/2, Radarsat-1). In this paper, the method is adapted for the first time to map rice at large scale, by using wide-swath images of the Advanced SAR (ASAR) instrument onboard ENVISAT. To increase the observation frequency, data from different satellite tracks are combined. The detection of rice fields is achieved by exploiting the high backscatter increase at the beginning of the growing cycle, which allows the production of rice maps early in the season (in the first 50 days). The method is tested in the Mekong delta in Vietnam. The mapping results are compared to existing rice maps in the An Giang province, with a good agreement (higher than 81%). The rice planted areas are retrieved from the maps and successfully validated with the official statistics available at each province (R(2)=0.92). These results show that the method is useful for large scale early mapping of rice areas, using current and future C band wide-swath SAR data.
机译:由于稻米对全球粮食安全的重要性,以及稻田在温室气体排放中的作用,监测稻米的全球产量在未来几年已成为一个具有挑战性的问题。以前在许多研究中已经通过使用来自C波段合成孔径雷达(SAR)共极化数据的反向散射的时间变化,开发了本地水稻作图方法。研究特别表明需要高观察频率。过去,这些方法的操作使用受到可用数据(ERS-1 / 2,Radarsat-1)的覆盖范围小和获取频率低的限制。在本文中,该方法首次通过使用ENVISAT上先进SAR(ASAR)仪器的宽幅图像来大规模地绘制水稻图。为了提高观察频率,将来自不同卫星轨道的数据进行组合。稻田的检测是通过在生长周期开始时利用较高的反向散射增加来实现的,这可以在季节初(前50天)制作稻图。该方法在越南的湄公河三角洲进行了测试。将地图绘制结果与安江省现有的稻米地图进行了比较,一致性很好(高于81%)。从地图上检索水稻种植面积,并通过各省的官方统计数据成功进行了验证(R(2)= 0.92)。这些结果表明,使用当前和未来的C波段宽幅SAR数据,该方法可用于水稻区域的大规模早期制图。

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