|
|
|
|
  • 软件名称:基于面向对象多端元混解模型的植被覆盖度反演及其时空分布研究
  • 软件大小: 0.00 B
  • 软件评级: ★★★
  • 开 发 商: 李哲, 宫兆宁, 刘先林, 关晖, 王颖
  • 软件来源: 《遥感技术与应用》
  • 解压密码:www.gissky.net

资源简介

摘要: 近年来湿地的植被退化一直是全球关注的问题,对湿地植被覆盖度进行反演并研究其时空分布特征显得尤为重要。而为了解决植被反演中存在的混合像元问题,提出了基于面向对象的多端元光谱混合分析方法。以扎龙湿地保护区为研究对象,中高分辨率 Landsat 影像为数据源,从时间尺度和植被覆盖度等级变化层面,研究湿地植被时空变化特征。面向对象多端元混解模型,有效地减少了计算量和混合像元的端元变化,且反演值与检验值相关性较高,均方根误差较小,优于传统多端元混解模型方法,提高了植被覆盖度反演精度。扎龙湿地多年植被覆盖度整体呈现退化趋势,2001~2017年的平均变化速率高于1985~2000年,对于提高全球气候变化情景下植被转移预测精度具有重要理论意义。 关键词: 扎龙湿地;  植被覆盖度;  面向对象多端元混解模型;  传统端元混解模型     Abstract: In recent years,wetland vegetation degradation has always been a global concern.It is particularly important to invert the vegetation coverage and study its temporal and spatial distribution characteristics.In order to solve the problem of mixed pixels in vegetation inversion,this paper proposes an object-oriented multi-end element spectrum hybrid analysis method.Taking Zhalong Wetland Reserve as the research object,middle-high resolution Landsat imagery is the data source,and the characteristics of spatio-temporal changes of wetland vegetation are studied from the perspective of time scale and vegetation cover level change.The characteristics of spatio-temporal changes of wetland vegetation were studied from the perspective of temporal scale and vegetation coverage level change.The results show that the object-oriented multi-terminal hybrid model effectively reduces the computational complexity and the variation of the end-cells of mixed pixels,and the correlation between the inversion value and the test value is high,and the root-mean-square error is small,which is superior to the traditional multi-terminal The hybrid model method improves the accuracy of vegetation cover inversion.The vegetation coverage of Zhalong Wetland has been deteriorating for many years.The average rate of change from 2001 to 2017 is relatively faster than that of 1985~2000.It has important theoretical significance for improving the prediction accuracy of vegetation transfer under global climate change scenarios.

下载说明

·如果您发现该资源不能下载,请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用,请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ,如果是压缩文件为分卷多文件,请依次下载每一个文件,并按照顺序命名为1.rar,2.rar,3.rar...,然后鼠标右击1.rar解压.

·为了保证您快速的下载速度,我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.