基于多源遥感影像融合的植被覆盖度信息提取研究

Study on Extraction Vegetation Coverage Information Based on Multi-source Remote Sensing Image

植被覆盖度是评估生态环境的一个重要参数,对于全球环境变化和监测研究具有重要意义。如何从遥感数据资料估算植被覆盖度,并提高估算精度是建立全球或区域气候、生态模型的基础工作。该研究以CBERS数据与ASAR数据为多源遥感数据源,进行CBERS影像与ASAR影像HPF像素级融合,生成高空间分辨率的多光谱影像HPF融合影像。分别运用CBERS影像和HPF融合影像,提取植被覆盖度,并对两者的提取效果进行精度对比评价分析。评价结果表明,HPF融合处理的影像提取的植被信息精度较高、效果较好,为植被覆盖度信息的提取提供了参考。

Crown cover fraction is an important ecological and environmental parameter and improve the accuracy of estimation are the basic works of establishing a global or regional climate ecological model.It’s very important for the study of global environment change and observation.How to estimate crown cover fraction from remotes and improve the accuracy of estimation are the basic works of establishing a global or regional climate ecological model.In the study,CBERS image and ASAR image as date source for image fusion at pixel level HPF,the high spatial resolution multi-spectrum image HPF fusion image were obtained.CBERS images and HPF fusion images were used respectively to extract vegetation coverage,and the accuracy of extraction results of the two was compared and evaluated.The evaluation results showed that the accuracy and effectiveness of the vegetation information extracted from HPF fusion images were high,which provided a reference for the extraction of vegetation coverage information.