基于ENVI/IDL的植被指数反演系统设计

针对ENVI软件在计算大范围区域遥感影像的植被指数时处理过程繁琐、效率低,根据植被指数反演模型的计算方法,经过分析和结构设计,在ENVI/IDL环境下开发了一个计算植被指数的反演系统。通过试验对比发现,利用该系统和ENVI 5.0软件分别计算10景Landsat 8 TM遥感影像的归一化植被指数,该系统在处理时间上比ENVI 5.0软件减少了11 min,且两者计算结果的信息量基本一致,不仅在处理速度上有明显优势,而且能够保证计算结果的质量。对大量遥感影像进行批量计算植被指数时,该系统可以减少遥感影像处理的重复工作,提升了植被指数的反演效率。...

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Bibliographic Details
Published in实验室研究与探索 Vol. 35; no. 7; pp. 6 - 10
Main Author 李火青 刘永强
Format Journal Article
LanguageChinese
Published 新疆大学绿洲生态教育部重点实验室,新疆乌鲁木齐830046 2016
新疆大学智慧城市与环境建模重点实验室,新疆乌鲁木齐830046%新疆大学资源与环境科学学院,新疆乌鲁木齐830046
新疆大学资源与环境科学学院,新疆乌鲁木齐830046
新疆大学智慧城市与环境建模重点实验室,新疆乌鲁木齐830046
Subjects
ENVI/IDL
植被指数
遥感
vegetation index
植被指数
remote sensing
遥感
ENVI/IDL
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Summary:针对ENVI软件在计算大范围区域遥感影像的植被指数时处理过程繁琐、效率低,根据植被指数反演模型的计算方法,经过分析和结构设计,在ENVI/IDL环境下开发了一个计算植被指数的反演系统。通过试验对比发现,利用该系统和ENVI 5.0软件分别计算10景Landsat 8 TM遥感影像的归一化植被指数,该系统在处理时间上比ENVI 5.0软件减少了11 min,且两者计算结果的信息量基本一致,不仅在处理速度上有明显优势,而且能够保证计算结果的质量。对大量遥感影像进行批量计算植被指数时,该系统可以减少遥感影像处理的重复工作,提升了植被指数的反演效率。
Bibliography:LI Huo-qing1,2, LIU Yong-qiang1,2,3 （1.College of Resources and Environmental Science; 2. Key Laboratory of City Intellectualizing Environment Modeling; 3. Key Laboratory of Oasis Ecology （Ministry University, Urumqi 830046, China）
ENVI/IDL; vegetation index; remote sensing
To calculate the vegetation index from remote sensing image by ENVI soft is not only inefficient but also complex. According to this limitation, a new method was proposed in the ENVI/IDL environment based on the theory of vegetation index inversion model. We thus developed a software system to inverse vegetation index from remote sensing image after the system was analyzed and its structure was designed. Then, we compared the system with ENVI by experiment, 10 pack Landsat 8 TM images were selected and their vegetation indices were calculated by the system and ENVI, respectively. The results indicated that the system is shorter 11 minutes than ENVI in calculating time, and the quantity of information calculated from the system is consistent
ISSN:1006-7167