森林健康评价的遥感技术研究

Research on Remote Sensing Technology of Forest Health Assessment

遥感技术的研究已基本成熟,但将其应用于森林健康评价的研究还相对较少。通过分析遥感技术评价森林健康的可行性和必要性,分析国内外森林健康研究情况及评价指标体系,在综合考虑自然资源、土壤因素、地形因素、火灾和病虫害干扰等方面的基础上,从植被信息、林地环境和森林风险3个方面选取10个能体现森林健康的指标。分析表明:遥感技术评价森林健康是可行的,但也有一定的局限性。多元数据融合不仅可以更全面的提取指标信息,更能提高指标提取精度。发展新型遥感技术、探寻更智能更精确的解译算法,逐渐克服遥感技术在表示植被多样性方面的劣势。

Researches on remote sensing technology are basically mature,but there are relatively few studies on its application to forest health assessment. By analyzing the feasibility and necessity of evaluating forest health by remote sensing technology,reviewing the progress of forest health research and evaluation index system at home and abroad,based on comprehensive consideration of natural resources,soil factors,topographical factors,fire,pest and disease interference,etc. 10 indicators that reflect forest health are selected in three aspects: information,forest environment and forest risk. The analysis shows that remote sensing technology is feasible to evaluate forest health,but it also has certain limitations. Multivariate data fusion can not only extract indicator information more comprehensively,but also improve the accuracy of index extraction. Develop new remote sensing technologies,explore smarter and more accurate interpretation algorithms,and gradually overcome the disadvantages of remote sensing technology in expressing vegetation diversity.