首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Feature Level Fusion of Multi-Temporal ALOS PALSAR and Landsat Data for Mapping and Monitoring of Tropical Deforestation and Forest Degradation
【24h】

Feature Level Fusion of Multi-Temporal ALOS PALSAR and Landsat Data for Mapping and Monitoring of Tropical Deforestation and Forest Degradation

机译:多时相ALOS PALSAR和Landsat数据的特征水平融合,用于热带森林砍伐和森林退化的制图和监测

获取原文
获取原文并翻译 | 示例
           

摘要

Many tropical countries suffer from persistent cloud cover inhibiting spatially consistent reporting of deforestation and forest degradation for REDD+. Data gaps remain even when compositing Landsat-like optical satellite imagery over one or two years. Instead, medium resolution SAR is capable of providing reliable deforestation information but shows limited capacity to identify forest degradation.
机译:<?Pub Dtl?>许多热带国家遭受持续的云层覆盖,阻碍了REDD +的毁林和森林退化的空间一致性报告。即使在合成一到两年的类似Landsat的光学卫星图像时,数据间隙仍然存在。相反,中分辨率SAR能够提供可靠的毁林信息,但是识别森林退化的能力有限。

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