首页> 外文会议>Asian conference on remote sensingACRS >A COMPARISON OF VEGETATION SPECTRAL INDICES DERIVED FROM LANDSAT 8 AND PREVIOUS LANDSAT GENERATIONS
【24h】

A COMPARISON OF VEGETATION SPECTRAL INDICES DERIVED FROM LANDSAT 8 AND PREVIOUS LANDSAT GENERATIONS

机译:Landsat 8和Pandsat代数植被光谱指标的比较

获取原文

摘要

The Landsat system has contributed significantly to the understanding of the Earth observation for over forty years. Since May 2013, data from Landsat 8 has been available online for download, with substantial differences from its ancestors, having an extended number of spectral bands and narrower bandwidths. This paper aims to examine how well Landsat 8 sensor perform its ancestors' vegetation observations, and more significantly, the differences between those of Landsat 8 and Landsat 5/7, hoping to optimize vegetation index continuity across different Landsat sensors. The paper investigates the quantitative relationship using regression analysis on the scatter plots of three indices derived from these sensors including the Normalized Difference Vegetation Index (NDVI), the Soil Adjusted Vegetation Index (SAVI), and the Urban Index (UI). Three scenes of Landsat 5, 7, and 8 images covering Hai Phong city, Vietnam was used. Comparisons indicate vague differences of vegetation indices derived from the sensors and their strong positive linear relationship, which supports the continuity of Landsat imagery use. Few notices are given as the NDVI and SAVI values in Landsat 8 appear to be higher than those of its ancestors, while the UI has relatively high correlation among the sensors despite in the water area.
机译:Landsat系统对持续四十多年来的地球观察的理解做出了重大贡献。自2013年5月以来,来自Landsat 8的数据在线可用,以便下载,与其祖先具有大量差异,具有扩展数量的频谱频带和较窄的带宽。本文旨在探讨Landsat 8传感器的祖先植被观测的良好,更重要的是,Landsat 8和Landsat 5/7之间的差异,希望优化植被指数在不同的Landsat传感器上的连续性。本文研究了使用来自这些传感器的三个指数的散射曲线分布分析的定量关系,包括归一化差异植被指数(NDVI),土壤调整后的植被指数(SAVI)和城市指数(UI)。使用了越南海岸市的Landsat 5,7和8张图像的三个场景。比较表明植被指数的模糊差异来自传感器的植被指数及其强大的积极线性关系,这支持兰德拉特地图的连续性。由于Landsat 8中的NDVI和Savi值似乎似乎高于其祖先的NDVI和Savi值,而UI在水域中仍然存在传感器之间的相关性相对高。

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