| Technology and Methodology |
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Canopy spectral characteristics distinguishability analysis of Pinus massoniana forests with Dendrolimus punctatus Walker damage |
| XU Zhanghua1, LIU Jian2,3,4, CHEN Chongcheng5, YU Kunyong2,3, HUANG Xuying1, WANG Meiya1 |
1. College of Environment and Resources, Fuzhou University, Fuzhou 350116, China;
2. Institute of Geomatics Application, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
3. College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
4. Sanming University, Sanming 365000, China;
5. National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou 350002, China |
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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%.
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| Keywords
mine environment
hyperspectral
monitoring through remote sensing
research progress
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Issue Date: 14 April 2016
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2016,
Vol. 28
