The Multi-temporal Approach of Research on Vegetation by NOAA-AVHRR Image Data

Zhu Qijiang

doi:10.11834/jrs.1991015

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The Multi-temporal Approach of Research on Vegetation by NOAA-AVHRR Image Data
Issue 2, Pages: 99-105(1991)
Published：1991
DOI： 10.11834/jrs.1991015
稿件说明：

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[1]朱启疆.应用气象卫星NOAA-AVHRR图像进行植被研究的多时相途径[J].环境遥感,1991(02):99-105+162. DOI： 10.11834/jrs.1991015.

Zhu Qijiang. The Multi-temporal Approach of Research on Vegetation by NOAA-AVHRR Image Data[J]. Journal of Remote Sensing, 1991, (2): 99-105. DOI： 10.11834/jrs.1991015.

摘要

本文讨论了应用NOAA-AVHRR数字图像研究植被季相变化和进行植被分类的多时相方法。对生长季节的各时相植被指数VI图像进行图像分割

可揭示植被绿锋的进退和季相变化及其在空间上的表现。对多时相的植被指数VI图像进行主成分变换

据第一主成分的直方图各特征峰的形状和位置进行图像分割

可获得植被景观图

这一结果与现行的植被分布图相当一致。

Abstract

This paper discusses the multi-temporal approach which does research on seasonal change of vegetation and it’s classification by NOAA-AVHRR digital image. Image segmentation of various temporal vegetation index can display the movement of green front forward or backward during plant growth period. The vegetation-landscape map were acquired by image segmentation of the first principal component of Karhunen-Loe’ve transformation for image data of multi-temporal vegetation index. This result corresponds well with thoes of existing vegetation maps.