翁卫松, 徐达, 谭莹, 陈晟, 钟伟良, 诸葛刚. 基于高分辨率影像的城市和平原绿化调查技术研究[J]. 西南林业大学学报, 2013, 33(5): 78-82. DOI: 10.3969/j.issn.2095-1914.2013.05.014
引用本文: 翁卫松, 徐达, 谭莹, 陈晟, 钟伟良, 诸葛刚. 基于高分辨率影像的城市和平原绿化调查技术研究[J]. 西南林业大学学报, 2013, 33(5): 78-82. DOI: 10.3969/j.issn.2095-1914.2013.05.014
WENG Weisong1, XU Da1, TAN Ying1, CHEN Sheng1, ZHONG Weiliang2, ZHUGE Gang1. Study on Survey Techniques of Urban and Plain Afforestation Based on High Resolution Images[J]. Journal of Southwest Forestry University, 2013, 33(5): 78-82. DOI: 10.3969/j.issn.2095-1914.2013.05.014
Citation: WENG Weisong1, XU Da1, TAN Ying1, CHEN Sheng1, ZHONG Weiliang2, ZHUGE Gang1. Study on Survey Techniques of Urban and Plain Afforestation Based on High Resolution Images[J]. Journal of Southwest Forestry University, 2013, 33(5): 78-82. DOI: 10.3969/j.issn.2095-1914.2013.05.014

基于高分辨率影像的城市和平原绿化调查技术研究

Study on Survey Techniques of Urban and Plain Afforestation Based on High Resolution Images

  • 摘要: 基于高分辨率影像,采用成数抽样原理的调查方法,对城市和平原绿化调查与监测技术进行研究。通过解决界线确定、样点布设、遥感判读、实地核查、精度分析等技术难点,形成一整套完善的调查技术流程,并对直接影响调查工作量的样点数量进行探讨。经实际应用,结果显示:研究区调查成果翔实,成果数据有很高的精度保证,采用该技术开展城市和平原绿化调查,能够有效解决城市和平原区调查制高点问题、数据综合分析问题及调查成果可靠性问题。

     

    Abstract: Based on high resolution images, the percentage sampling method was applied to study the survey approach and monitoring techniques for afforestation investigation in the urban and plain area. A suit of complete technological process was proposed after having solved the difficult technical problems such as boundary determination, sample plots setting, RS image interpretation, on the spot verification, precision analysis, etc.. The quantity of plots to be sampled that directly affect the workload was discussed. The results obtained from the practical application showed that the survey data were abundant with high accuracy guarantee. The problems including commanding height selection, comprehensive analysis of survey data and the reliability of the investigation results could be well solved by using this technology when conducting afforestation investigation in the urban and plain areas.

     

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