| 摘要: |
| 【目的】获得一种基于数码照片的准确、快速估计植被覆盖度的方法，为农林业及生态环境管理提供参数依据。【方法】首先从具有代表性的3个省区（江苏、河南、新疆）获取地表数码照片，然后采用植被判定流程图法（VDF法），对分别在温和及强烈阳光下拍摄的10个样本的共计100张数码照片进行处理，计算植被盖度，将其处理效果及计算结果与归一化差异指数法（NDI法）所得结果进行比较。【结果】在温和阳光照射下拍摄的数码照片，用VDF法和NDI法估计的植被覆盖度的准确度都能够达到90%以上；而在强烈阳光照射下拍摄的数码照片，用VDF法估计的植被覆盖度的准确度（90.01%～92.61%）高于NDI法（81.31%～88.34%）。【结论】相对于NDI法，VDF法是一种提取信息全面、准确、高效的基于数码照片的植被覆盖度估计方法。 |
| 关键词: 植被判定流程图（VDF） 归一化差异指数（NDI） 植被覆盖度 |
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| 基金项目:新疆大学2010年度国家大学生创新性实验计划项目（101075540） |
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| Extracting vegetation coverage from digital photographs efficiently by vegetation determine flowchart |
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BAN Aiqin, QIAN Yurong, MO Yuanqi,et al
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Xinjiang University
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| Abstract: |
| 【Objective】The purpose of this research is to obtain an accurate and rapid estimation method of vegetation coverage based on digital photographs,which can provide support in parameters for the management of agriculture,forestry,eco-industry.【Method】We first acquired the surface digital photos from three representative regions(Jiangsu,Henan,Xinjiang),and then dealt with the 100 digital photos of 10 samples which were taken in moderate and strong sunlight and calculated the vegetation coverage through the vegetation determine flowchart method (VDF method) and compared the treatment effect and the calculated results with the method of normalized difference index (NDI method).【Result】If the digital photos are taken in the normal mild-light,the accuracy of both methods is able to reach more than 90%;but if the photos are taken in the strong sunlight,the accuracy of the VDF method (90.01%-92.61%) is higher than the NDI method(81.31%-88.34%).【Conclusion】The VDF method is a more detailed and accurate and efficient estimation method of vegetation coverage based on digital photographs than the NDI method. |
| Key words: vegetation determine flowchart(VDF) normalized difference index(NDI) vegetation coverage |
