...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Identifying biomass burned patches of agriculture residue using satellite remote sensing data
【24h】

Identifying biomass burned patches of agriculture residue using satellite remote sensing data

机译：使用卫星遥感数据识别农业残渣的生物质燃烧斑块

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

The combine harvesting technology which has become common in the rice-wheat system in India leaves behind large quantities of straw in the field for open residue burning, and Punjab is one such region where this is regularly happening. This becomes a source for the emission of trace gases, resulting in perturbations to regional atmospheric chemistry. The study attempts to estimate district-wise burned area from agriculture residue burning. The feasibility of using low resolution (MODIS) and moderate resolution (AWiFS) satellite data for estimation of burned areas is shown. It utilizes thermal channels of MODIS and knowledge-based approach for AWiFS data for burned area estimation. A hybrid contextual test-fire detection and tentative-fire detection algorithm for satellite thermal images has been followed to identify the fire pixels over the region. The algorithm essentially treats fire pixels as anomalies in images and can be considered a special case of the more general clutter or background suppression problem. It utilizes the local background around a potential fire pixel, and discriminates fire pixels and avoids the false alarm. It incorporates the statistical properties of individual bands and requires the manual setting of multiple thresholds. Also, a decision-tree classification based on See5 algorithm is applied to AWiFS data. When combined with image classification using a machine learning decision tree (See5) classification, it gives high accuracy. The study compares the estimated burned area over the region using the two algorithms.
机译：在印度的稻麦系统中，联合收割机技术很普遍，在田间留下大量秸秆用于露天焚烧残渣，旁遮普邦就是这种情况经常发生的地区之一。这成为排放微量气体的来源，导致对区域大气化学的干扰。该研究试图从农业残渣燃烧估算区域燃烧面积。显示了使用低分辨率（MODIS）和中分辨率（AWiFS）卫星数据估算燃烧面积的可行性。它利用MODIS的热通道和基于知识的方法获取AWiFS数据，以估算燃烧面积。遵循了一种针对卫星热图像的混合上下文测试火灾检测和临时火灾检测算法，以识别该区域上的火灾像素。该算法本质上将火象素视为图像中的异常，可以视为更一般的杂波或背景抑制问题的特殊情况。它利用潜在火灾像素周围的局部背景，区分火灾像素并避免误报。它合并了各个频段的统计属性，并且需要手动设置多个阈值。而且，基于See5算法的决策树分类被应用于AWiFS数据。当结合使用机器学习决策树（See5）分类的图像分类时，它具有很高的准确性。该研究使用两种算法比较了该区域的估计燃烧面积。

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