[1]杨存建,李何超 *,许光洪,等.基于大疆无人机遥感的农村居民点建筑密度与容积率的测算[J].山地学报,2019,(01):144-150.[doi:10.16089/j.cnki.1008-2786.000408]
 YANG Cunjian,LI Hechao *,XU Guanghong,et al.A Measure to the Building Density and Floor Area Ratio of Rural Settlements Based on Da Jiang Unmanned Aerial Vehicle Remote Sensing[J].Mountain Research,2019,(01):144-150.[doi:10.16089/j.cnki.1008-2786.000408]
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基于大疆无人机遥感的农村居民点建筑密度与容积率的测算()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2019年01期
页码:
144-150
栏目:
山地技术
出版日期:
2019-03-10

文章信息/Info

Title:
A Measure to the Building Density and Floor Area Ratio of Rural Settlements Based on Da Jiang Unmanned Aerial Vehicle Remote Sensing
文章编号:
1008-2786-(2019)1-144-07
作者:
杨存建1 李何超2 * 许光洪3 向 筱2 杨德菲4
1.四川师范大学 西南土地资源评价与监测教育部重点实验室 遥感与GIS应用研究中心,成都610068; 2. 四川省土地统征整理事务中心, 成都610000; 3. 重庆邮电大学,重庆400065; 4.南京林业大学 风景园林学院,南京210037
Author(s):
YANG Cunjian 1 LI Hechao2 * XU Guanghong3 XIANG Xiao2YANG Defei 4
1. Research Center f Remote Sensing and GIS Application, Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China; 2. Sichuan Land Consolidation and Rehabilitation Center, Chengdu 610000, China; 3. Chongqing University of Posts and Telecommunications, Chongqing 400065, China; 4. College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
关键词:
无人机遥感 影像处理 农村居民点 建筑密度 容积率
Keywords:
unmanned aerial vehicle remote sensing image processing rural settlement building density floor area ratio
分类号:
P237
DOI:
10.16089/j.cnki.1008-2786.000408
文献标志码:
A
摘要:
居民点建筑密度与容积率的测定,是农村建设用地节约利用和人居环境质量评价的重要基础。由于资金、技术和人力等限制,致使该项工作目前基本处于空白状态。本文探索出了一套基于大疆无人机遥感的农村居民点建筑密度和容积率的测算方法。主要包括:无人机影像获取、影像镜头校正、正射影像生成、影像拼接、房屋地基范围判读提取与建库、房屋楼层数判读提取与建库、居民点建筑密度与容积率计算及其精度评价。利用该方法,测算得出了成都市新都区清流镇的一个典型新村居民点的建筑密度和容积率,分别为0.456, 0.986,其精度满足要求。该研究表明:该方法具有成本低、效率高、易学易用的特点,利用该方法可以实现平原和山区平坦区农村居民点建筑密度和容积率的准确测算; 通过新村建设,该农村居民点的建筑密度和容积率得到了提高,农村建设用地得到了节约,农村人居环境得到了改善。该方法不仅在平原区域,而且在山区小块平坝区都具有广阔的应用前景和推广价值; 该研究成果对促进农村建设用地优化节约利用与人居环境改善具有重要的现实意义。
Abstract:
Surveying the building density and floor area ratio of rural settlements is an important task in evaluating economical utilization of rural construction land and quality of rural human settlements. However, due to the limits of funding, technology and manpower for research, the study in this field is relatively week. A new method to survey the building density and floor area ratio of rural settlements with Da Jiang(DJ)Unmanned Aerial Vehicle(UAV)was explored in this paper. The proposed method mainly includes the following procedures:(1)obtain the rural settlement images with DJ UAV;(2)process the images using camera lens model;(3)produce ortho-images;(4)mosaick ortho-images;(5)extract the building foundation area and the number of floors of buildings by visually interpreting UAV images and creating their database;(6)calculate the building density and floor area ratio, and assess the data accuracy. This method was applied to survey the building density and floor area ratio of a typical new rural settlement in Qingliu Town of Xindu district, Chengdu city, China, which are 0.456 and 0.986, respectively, and its accuracy met the needs. The study results include:(1)the methodology proposed here is of low cost, high efficiency, and easy to be learned and used;(2)the building density and floor area ratio of the rural settlements in plain and flat area could be accurately measured by the method;(3)by application of this method, the building density and floor area ratio of the rural settlement in Qinliu Town had been enhanced, and the rural land used for construction had been saved, and the living condition of rural human settlements had been improved. In conclusion, our proposed method has the potential of wide application and can be easily popularized in the plain and the small flat area of mountains. This study is valuable in optimal and economical utilization of rural lands for construction and in improving the human living condition.

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备注/Memo

备注/Memo:
收稿日期(Received date):2018-06-11; 改回日期( Accepted date): 2018-12-03
基金项目(Foundation item):国家科技支撑项目(2014BAL01B04); 四川省教育厅重点项目(11ZA098)。[National Science and Technology Support Project(2014BAL01B04); Key Project of Sichuan Provincial Department of Education(11ZA098)]
作者简介(Biography):杨存建(1967-),男,成都新都人,博士,研究员,主要研究方向:遥感与GIS应用研究。[YANG Cunjian(1967-), male, born in Xindu District of Chengdu, Sichuan Province, Ph.D, professor, research on application of remote sensing and GIS]E-mail: yangcj2008@126.com
*通讯作者(Corresponding author):李何超(1957-), 男,山东商河县人,研究员,主要研究方向:土地利用与整理。[LI Hechao(1957-), male, born in Shanghe County of Shandong Province, professor, research on land use and management]E-mail: sclihc@163.com
更新日期/Last Update: 2019-01-30