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    马得利, 孙永康, 杨建英, 史常青, 张艳, 张春禹. 基于无人机遥感技术的废弃采石场立地条件类型划分[J]. 北京林业大学学报, 2018, 40(9): 90-97. DOI: 10.13332/j.1000-1522.20180051
    引用本文: 马得利, 孙永康, 杨建英, 史常青, 张艳, 张春禹. 基于无人机遥感技术的废弃采石场立地条件类型划分[J]. 北京林业大学学报, 2018, 40(9): 90-97. DOI: 10.13332/j.1000-1522.20180051
    Ma Deli, Sun Yongkang, Yang Jianying, Shi Changqing, Zhang Yan, Zhang Chunyu. Site condition classification based on remote sensing technology of unmanned aerial vehicle in abandoned quarry[J]. Journal of Beijing Forestry University, 2018, 40(9): 90-97. DOI: 10.13332/j.1000-1522.20180051
    Citation: Ma Deli, Sun Yongkang, Yang Jianying, Shi Changqing, Zhang Yan, Zhang Chunyu. Site condition classification based on remote sensing technology of unmanned aerial vehicle in abandoned quarry[J]. Journal of Beijing Forestry University, 2018, 40(9): 90-97. DOI: 10.13332/j.1000-1522.20180051

    基于无人机遥感技术的废弃采石场立地条件类型划分

    Site condition classification based on remote sensing technology of unmanned aerial vehicle in abandoned quarry

    • 摘要:
      目的无人机遥感影像和ArcGIS技术结合成为废弃地生态恢复的新手段,而准确划分立地类型是废弃采石场生态修复和造林绿化的关键基础步骤。本研究基于无人机遥感影像技术和ArcGIS技术,快速、准确地实现对冀北山区废弃采石场立地条件类型的划分。
      方法以草帽山废弃采石场为试验区,采用数量化理论Ⅰ与ArcGIS空间分析,对废弃采石场的立地类型划分和立地质量评价,再得到立地类型分布图,并与实地立地因子分类结果进行精度检验。
      结果利用上述方法将冀北草帽山采石场废弃地划分为9种立地类型,同时根据立地分级结果将试验区立地定量评价为4个等级;与实地立地类型调查结果对比发现,本研究划分结果精度高达96%。
      结论无人机遥感影像与ArcGIS技术的结合应用不仅能实现采石场废弃地立地类型的高精度划分,还能够为采石场废弃地以期合理规划造林绿化提供决策依据和技术支撑。

       

      Abstract:
      ObjectiveThe combination of unmanned aerial vehicle (UAV) remote sensing image and ArcGIS technology has become a new method of ecological restoration in abandoned land. The accurate classification of site conditions is the key step of ecological restoration and mine greening of abandoned quarries. The purpose of this study is to classify site conditions of abandoned quarries in the north of Hebei Province, northern China quickly and accurately based on UAV remote sensing images and GIS technology.
      MethodBy quantitative theory Ⅰ and ArcGIS spatial analysis, the classification and quality evaluation of site types of abandoned mines were studied. The site type distribution map was obtained and the accuracy of site classification results was tested.
      ResultUsing above method, the grass cap mountain quarry in the north of Hebei Province was divided into 9 site types, and the site was classified into 4 grades according to the site classification results. Compared with the field site type survey results, the accuracy of the study classification results reached 96%.
      ConclusionThe application of UAV remote sensing image and GIS technology can not only realize the high-precision classification of site types in quarry wasteland, but also provide decision basis and technical support for the rational planning of afforestation and greening of mine wasteland.

       

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