| 小尺度样方植被覆盖度信息提取方法的探索 |
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| 引用本文： | 张蓓蓓.小尺度样方植被覆盖度信息提取方法的探索[J].山西林业科技,2012(3):18-20. |
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| 作者姓名： | 张蓓蓓 |
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| 作者单位： | 大同市林业调查规划院,山西大同037044 |
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| 摘 要： | 笔者在传统照像法的基础上，探索性地用数码相机在小尺度样方内拍摄不同分辨率的数码像片，用图像处理软件Photoshop提取植被覆盖度信息，在遥感软件ENVI下用非监督分类的方法对提取结果进行再分类。同时，在原像片的基础上构建验证样本，并对植被覆盖度提取精度进行了评价。结果表明，Photoshop提取不同分辨率的植被覆盖度信息精度较高，总体精度80％以上，Kappa系数在0．6以上，利用Photoshop软件对植被覆盖度信息提取是一种可行的方法。
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| 关 键 词： | 数码像片 植被覆盖度 分辨率 精度评价 |
Information Extraction Method of Vegetation Coverage in Small Scale |
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| Zhang Beibei.Information Extraction Method of Vegetation Coverage in Small Scale[J].Shanxi Forestry Science and Technology,2012(3):18-20. |
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| Authors: | Zhang Beibei |
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| Institution: | Zhang Beibei (Datong Institute of Planning and Design Forestry Investigation, 037044 Datong, China) |
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| Abstract: | Based on the traditional photographic method, different resolution digital photos were got with digital camera in small scale to extract the vegetation coverage information with image processing software Photoshop and then the coverage in- formation was classified farther by non-supervised classification with remote sensing software ENVI and the extraction accu- racy of vegetation coverage was evaluated. The results showed that the extraction information accuracy of vegetation coverage was higher with Photoshop that the overall accuracy was more than 80% and Kappa coefficient was above 0. 6, so Photoshop software was a suitable method for the vegetation coverage information extraction in small scale. |
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| Keywords: | Digital photos vegetation coverage resolution accuracy evaluation |
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