• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Sensing for Agriculture and Food Quality and Safety VII >Using NOAA/AVHRR based remote sensing data and PCR method for estimation of Aus rice yield in Bangladesh
【24h】

Using NOAA/AVHRR based remote sensing data and PCR method for estimation of Aus rice yield in Bangladesh

机译：使用基于NOAA / AVHRR的遥感数据和PCR方法估算孟加拉国的大米产量

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Rice is a dominant food crop of Bangladesh accounting about 75 percent of agricultural land use for rice cultivation and currently Bangladesh is the world's fourth largest rice producing country. Rice provides about two-third of total calorie supply and about one-half of the agricultural GDP and one-sixth of the national income in Bangladesh. Aus is one of the main rice varieties in Bangladesh. Crop production, especially rice, the main food staple, is the most susceptible to climate change and variability. Any change in climate will, thus, increase uncertainty regarding rice production as climate is major cause year-to-year variability in rice productivity. This paper shows the application of remote sensing data for estimating Aus rice yield in Bangladesh using official statistics of rice yield with real time acquired satellite data from Advanced Very High Resolution Radiometer (AVHRR) sensor and Principal Component Regression (PCR) method was used to construct a model. The simulated result was compared with official agricultural statistics showing that the error of estimation of Aus rice yield was less than 10%. Remote sensing, therefore, is a valuable tool for estimating crop yields well in advance of harvest, and at a low cost.
机译：稻米是孟加拉国的主要粮食作物，约占稻米种植农业土地使用量的75％，目前孟加拉国是世界第四大稻米生产国。在孟加拉国，大米提供了大约三分之二的卡路里，约占农业总产值的一半，占国民总收入的六分之一。 Aus是孟加拉国的主要水稻品种之一。作物生产，特别是稻米（主粮）最容易受到气候变化和多变性的影响。气候的任何变化都将增加稻米生产的不确定性，因为气候是稻米生产力逐年变化的主要原因。本文显示了遥感数据在孟加拉国官方水稻产量统计数据中的应用，该统计数据是使用先进超高分辨率辐射计（AVHRR）传感器实时获取的卫星数据，并使用主成分回归（PCR）方法构建的一个模型。将模拟结果与官方农业统计数据进行比较，结果表明，估计澳大利亚水稻产量的误差小于10％。因此，遥感是一种很有价值的工具，可以在收割之前以低成本很好地估算农作物的产量。

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