Remote Sensing Technology and Application, Volume. 40, Issue 1, 47(2025)

The Use of Time Series Remote Sensing Data to Analyze the Characteristics of Non-agriculture Farmland and Their Driving Factors in Shangnan

Chaoqun MA*, Jingyi YANG, Xiaofeng WANG, Xuefeng YUN, and Zhaoxia REN
Author Affiliations
  • School of Land Engineering, Chang’an University, Xi’an710054, China
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    Figures & Tables(10)
    Schematic diagram of the research area
    Flowchart of non-agriculture farmland analysis method in Shangnan
    Spatial distribution of land use in Shangnan from 2010 to 2020
    Non-agricultural transfer types of farmland in Shangnan from 2010 to 2020
    Spatial distribution of non-agriculture farmland in Shangnan from 2010 to 2020
    Grid diagram of farmland conversion in Shangnan from 2010 to 2020
    • Table 1. Indicators of driving factors of farmland conversion

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      Table 1. Indicators of driving factors of farmland conversion

      因素类型指标指标描述数据来源
      社会因子人口数量增长率/%反映地区人口规模变化《商南年鉴》
      GDP增长率/%反映社会经济发展规模《商南统计年鉴》
      到公路距离/m公路是人类活动地域联系重要载体国家基础地理信息中心
      到城镇距离/m城镇驻点反映人类活动的地点
      自然因子高程/m海拔较为平坦地区适宜耕种GEE平台
      坡度/°农业生产的机械化水平受坡度大小影响
      坡向/°农作物生长受坡向影响
      土壤类型土壤类型理化性质不同,影响土地利用变化中国科学院资源环境数据云平台
    • Table 2. Land use classification accuracy

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      Table 2. Land use classification accuracy

      类型2010年2015年2020年
      UA/%PA/%UA/%PA/%UA/%PA/%
      耕地85.5298.7791.1888.5795.6289.73
      园林地10010094.1910099.03100
      水体96.4310088.4310010077.49
      建设用地96.0480.8389.3398.4586.38100
      未利用地10066.2510066.3192.4488
      整体精度/%88.4492.0196.63
      Kappa系数0.850.900.94
    • Table 3. Area proportion of land use type from 2010 to 2020

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      Table 3. Area proportion of land use type from 2010 to 2020

      类型2010年2015年2020年

      面积

      /hm2

      占比

      /%

      面积

      /hm2

      占比

      /%

      面积

      /hm2

      占比

      /%

      耕地70 5629.1469 8119.0459 9907.77
      林地603 79478.17647 03983.77623 39580.71
      水体22 8742.967 8511.024 9510.64
      建设用地13 9581.8126 2593.4025 0913.25
      未利用地61 2007.9221 4312.7758 9807.64
    • Table 4. Influence degree of social and natural factors on farmland conversion

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      Table 4. Influence degree of social and natural factors on farmland conversion

      驱动因子2010~2015年2015~2020年2010~2020年
      Q值重要性Q值重要性Q值重要性
      人口数量增长率0.033 360.008 280.030 36
      到公路距离0.214 030.043 160.162 12
      到城镇距离0.033 450.104 320.008 38
      GDP增长率0.116 340.090 730.038 95
      土壤类型0.294 910.190 110.175 41
      高程0.279 420.055 540.092 94
      坡度0.023 970.032 770.123 03
      坡向0.020 280.047 450.013 87
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    Chaoqun MA, Jingyi YANG, Xiaofeng WANG, Xuefeng YUN, Zhaoxia REN. The Use of Time Series Remote Sensing Data to Analyze the Characteristics of Non-agriculture Farmland and Their Driving Factors in Shangnan[J]. Remote Sensing Technology and Application, 2025, 40(1): 47

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    Paper Information

    Category:

    Received: Nov. 13, 2023

    Accepted: --

    Published Online: May. 22, 2025

    The Author Email: Chaoqun MA (chaoqunm@chd.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2025.1.0047

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