国土资源遥感2016，Vol.28Issue(2)：41-47,7.DOI:10.6046/gtzyyg.2016.02.07
松毛虫危害下的马尾松林冠层光谱特征可辨性分析
Canopy spectral characteristics distinguishability analysis of Pinus massoniana forests with Dendrolimus punctatus Walker damage
摘要
Abstract
The deep mining of host spectral response mechanism is the necessary foundation for Dendrolimus punctatus Walker damage remote sensing fast monitoring and early warning. 46 canopy spectral curve data of Pinus massoniana forests collected in Changting County of Jianyang District were set as the rule group, and the one-way ANOVA was used to realize the distinguished wavelengths selection with different pest levels, and the results showed that there were highly significant differences of pine forests canopy spectral data with different pest levels ( P<0 . 01 ) , in which there were significant differences at 516 . 51~598 . 99 nm and 700 . 68~706 . 18 nm of spectral distinguishability between moderate damage and severe damage ( P<0 . 05 ) , and highly significant differences at 708. 92~810. 62 nm (P<0. 01). Thus, based on the combination of spectral reflectance of 519. 2 nm, 540. 72 nm, 758. 4 nm, 785. 88 nm and taking the healthy pine forests canopy spectral data as the standard sample, the authors constructed the quantitative determination rules of pest levels of Dendrolimus punctatus Walker, relying on the methods of spatial distance, correlation coefficient and spectral angle mapping respectively. The rules were verified with the test group of 34 spectral curve data collected in Jiangle County, Yanping District of Nanping City, and Huaan County, and the results showed that the determination effect of spatial distance method was by far better than that of the correlation coefficient method and spectral angle mapping method. The spatial distance determination rules of non -damage, mild damage, moderate damage and severe Dendrolimus punctatus Walker damages were as follows: <0 . 355 3 , [ 0 . 355 3 , 0 . 742 5 ) , [ 0 . 742 5 , 0 . 963 1 ) and ≥0 . 9631 , with the determination accuracy being 88 . 24% and the accurate rate being 97 . 06%.关键词
马尾松毛虫害/光谱特征可辨性/单因素方差分析/空间距离法/相关系数法/光谱角制图法Key words
Dendrolimus punctatus Walker damage/spectral characteristics distinguishability/one-way ANOVA/spatial distance method/correlation coefficient method/spectral angle mapping method分类
计算机与自动化引用本文复制引用
许章华,刘健,陈崇成,余坤勇,黄旭影,王美雅..松毛虫危害下的马尾松林冠层光谱特征可辨性分析[J].国土资源遥感,2016,28(2):41-47,7.基金项目
国家自然科学基金青年科学基金项目(编号:41501361)、福建省资源环境监测与可持续经营利用重点实验室开放基金项目(编号:ZD1403)和福州大学人才基金项目(编号：XRC-1345)共同资助。 （编号:41501361）
