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基于ETM+遥感影像的森林植被信息提取方法研究(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2007年06期
Page:
113-116
Column:
研究论文
publishdate:
2007-06-20

Article Info:/Info

Title:
Methodological Study of Information Extraction of Forest Using ETM+ and Remote Sensing Image
Article ID:
1000-2006(2007)06-0113-04
Author(s):
SHEN Ming-xia1 HE Rui-yin1 CONG Jing-hua2
1.Industry College Nanjing Agricultural University, Nanjing 210031, China; 2.Nanjing Forest Police High School, Nanjing 210046 China
Keywords:
ETM+image Band fusion Classified
Classification number :
TP391.41;S220.39
DOI:
10.3969/j.jssn.1000-2006.2007.06.027
Document Code:
A
Abstract:
The common methods of extracting information of forest using ETM+remote sensing image were discussed in this paper. According to the analysis of eigenvalue and relativity, it was found that bands of TM3, TM4 and TM5 had small relativity and contain ample information. Bands of TM3, TM4 and TM5 were merged with PAN bands using Brovey transform. NDVIR was obtained by computing Normalized Difference Vegetation Index for bands of TM4R and TM3R of merged remote sensing image. Then the combination image of fusion remote sensing images and NDVIR image was classified by method of maximum likelihood. The forest cover rate was computed to be 38.63% according to the classification.

References

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Last Update: 2013-05-20