The Multi-temporal Approach of Research on Vegetation by NOAA-AVHRR Image Data
应用气象卫星NOAA-AVHRR图像进行植被研究的多时相途径

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.