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基于无人机遥感的四川省昭觉县农业产业园土地适宜性评价

张景华, 欧阳渊, 陈远智, 李富, 刘小霞, 刘洪, 赵银兵

张景华, 欧阳渊, 陈远智, 李富, 刘小霞, 刘洪, 赵银兵. 基于无人机遥感的四川省昭觉县农业产业园土地适宜性评价[J]. 中国地质, 2021, 48(6): 1710-1719. DOI: 10.12029/gc20210604
引用本文: 张景华, 欧阳渊, 陈远智, 李富, 刘小霞, 刘洪, 赵银兵. 基于无人机遥感的四川省昭觉县农业产业园土地适宜性评价[J]. 中国地质, 2021, 48(6): 1710-1719. DOI: 10.12029/gc20210604
ZHANG Jinghua, OUYANG Yuan, CHEN Yuanzhi, LI Fu, LIU Xiaoxia, LIU Hong, ZHAO Yinbing. Land suitability evaluation of agricultural industrial park based on UAV remote sensing in Zhaojue County of Sichuan Province[J]. GEOLOGY IN CHINA, 2021, 48(6): 1710-1719. DOI: 10.12029/gc20210604
Citation: ZHANG Jinghua, OUYANG Yuan, CHEN Yuanzhi, LI Fu, LIU Xiaoxia, LIU Hong, ZHAO Yinbing. Land suitability evaluation of agricultural industrial park based on UAV remote sensing in Zhaojue County of Sichuan Province[J]. GEOLOGY IN CHINA, 2021, 48(6): 1710-1719. DOI: 10.12029/gc20210604

基于无人机遥感的四川省昭觉县农业产业园土地适宜性评价

基金项目: 

中国地质调查局项目 DD20190542

详细信息
    作者简介:

    张景华, 男, 1978年生, 高级工程师, 主要从事遥感与生态环境研究; E-mail: zjinghua@mail.cgs.gov.cn

    通讯作者:

    欧阳渊, 男, 1982年生, 高级工程师, 主要从事遥感与生态环境研究; E-mail: freebad@126.com

  • 中图分类号: P627;F301.2

Land suitability evaluation of agricultural industrial park based on UAV remote sensing in Zhaojue County of Sichuan Province

Funds: 

the project of China Geological Survey DD20190542

More Information
    Author Bio:

    ZHANG Jinghua, male, born in 1978, senior engineer, engaged in the study of remote sensing and ecological environment; E-mail: zjinghua@mail.cgs.gov.cn

    Corresponding author:

    OUYANG Yuan, male, born in 1982, senior engineer, mainly engaged in the study of remote sensing and ecological environment; E-mail: freebad@126.com

  • 摘要:

    昭觉县是大凉山腹地的典型彝族聚居县,也是国家级深度贫困县,以传统农业居多,为推动农业发展方式的转变,昭觉县开展了现代农业园建设。笔者通过无人机航测,获取了拟建园区的高分辨率影像,使用面向对象的影像分析软件,快速提取了土地利用现状等信息,结合收集的其他资料,筛选了坡度、坡向、断层、地质灾害、土地利用、灌溉、交通、自然保护区8个评价因子,在GIS的支持下,先开展单因子土地适应性评价,然后进行综合评价。结果显示:拟建园区土地适宜性以适宜性高和适宜性较高等级为主,二者合计2.56 km2、占79.26%,超过3/4,土地适宜性好,适宜建设现代农业产业园,适合建设标准化蔬菜温室大棚和露地蔬菜种植基地,建成后,不但可以为周边地市提供蔬菜供应,还可带动园区周围农户增收,促进周围农户脱贫,发展前景好。小型无人机遥感系统具有机动灵活、成本低的优势,能快速获取小区域、大尺度农业产业园区的基础数据,在西南地区小区域土地适宜性评价中应用效果好。小区域土地的自然环境与社会环境相对单一,许多大区域土地适宜性评价指标并不完全适用,需要根据土地利用的主要目的选择合适的评价指标。

    Abstract:

    Zhaojue County is a typical Yi-inhabited County in the hinterland of Daliang Mountain. It is also a state-level deeply impoverished county with traditional agriculture as the main living means. In order to promote the transformation of agricultural development mode, modern agricultural park has been constructed in Zhaojue County. Through Unmanned Aerial Vehicle(UAV) aerial survey, the high-resolution images of the proposed park were obtained, and object-oriented image analysis software was used to quickly extract land use status and other information. Combined with other collected data, eight evaluation factors were selected, including slope, aspect, fault, geological hazard, land use, irrigation, transportation and nature reserve. With the support of Geographic Information System (GIS), the single-factor of land adaptability was evaluated first, and then the comprehensive evaluation was conducted. The results show that the land suitability of the proposed park is much suitable, with the total area of 2.56 km2, accounting for 79.26%, more than 3/4. It is suitable for building a modern agricultural industrial park, standardized vegetable greenhouses, and open field vegetable cultivation base. After construction, it will not only provide vegetable supply to the surrounding cities, but also increase the income of farmers around the park, and promote the poverty alleviation of farmers around the park, showing good development prospects. Small UAV remote sensing system has the advantages of flexibility and low cost. It can quickly obtain the basic data of small area and large-scale agricultural industrial park, and has ideal application effect in land suitability evaluation of small areas in Southwest China. The natural environment and social environment of small area land are relatively single, and many large regional land suitability evaluation indexes are not fully applicable, so it is necessary to select appropriate evaluation indexes according to the main purpose of land use.

  • 图  1   无人机起飞照片

    Figure  1.   Photo of UAV taking off

    图  2   飞行航线图

    Figure  2.   Flight route map

    图  3   数字正射影像图和数字表面模型

    Figure  3.   Digital orthophoto map and digital surface model

    图  4   土地利用现状图

    Figure  4.   Current status of land use

    图  5   单因子土地适宜性评价图

    Figure  5.   Single factor chart of land suitability evaluation

    图  6   土地适宜性评价图

    Figure  6.   Land suitability evaluation map

    表  1   无人机及相机主要技术指标

    Table  1   Main technical specifications of UAV and camera

    下载: 导出CSV

    表  2   控制点均方根误差

    Table  2   RMSE of ground control points

    下载: 导出CSV

    表  3   检查点均方根误差

    Table  3   RMSE of check points

    下载: 导出CSV

    表  4   土地利用类型统计

    Table  4   Statistics of land use types

    下载: 导出CSV

    表  5   土地适宜性评价指标

    Table  5   Indicators of land suitability evaluation

    下载: 导出CSV

    表  6   土地适宜性统计

    Table  6   The area and percentage of each land suitability class

    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-06-11
  • 修回日期:  2020-07-31
  • 网络出版日期:  2023-09-25
  • 刊出日期:  2021-12-24

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