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作 者:王海雯 贾俊青 李北辰 董永平 哈斯尔 WANG Haiwen;JIA Junqing;LI Beichen;DONG Yongping;HA Sier(School of Geography Science,Inner Mongolia Normal University,Hohhot 010010,China;Inner Mongolia Land and Space Planning Institute,Hohhot 010010,China;Inner Mongolia Autonomous Region Land Use and Renovation Engineering Technology Research Center,Hohhot 010010,China;Xi’an Changlin Fengcao Ecological Technology Co.,Ltd.,Xi’an 710000,China)
机构地区:[1]内蒙古师范大学地理科学学院,呼和浩特010010 [2]内蒙古自治区国土空间规划院,呼和浩特010010 [3]内蒙古自治区土地利用与整治工程技术研究中心,呼和浩特010010 [4]西安长林丰草生态科技有限公司,西安710000
出 处:《自然资源遥感》2023年第2期149-156,共8页Remote Sensing for Natural Resources
基 金:内蒙古自治区自然资源厅2017年研究项目“内蒙古土地集约利用模式与技术集成研究”项目资助。
摘 要:为科学评价城市功能区的土地适宜性、精准评估城市土地集约利用水平,以内蒙古自治区呼和浩特市为研究区,整合行业调查数据和利用遥感影像提取的信息,建立指标体系;以土地为本底进行量化和融合,评估城市功能区划和土地集约利用水平。判别分析显示,93.0%的功能区有共同多元数量特征,表明功能定位和土地用途适宜。采用阴影面积占比、植被面积占比、影像主成分等遥感因子,碳储量、建筑密度、居住功能区地价、商业功能区地价等调查数据,建立高精度多元回归模型,推算容积率,可实现土地集约利用水平定量评估。研究表明,基于遥感和行业调查数据的城市土地集约利用水平评估方法可行,具有推广应用价值。To scientifically evaluate the land suitability of urban functional areas and to accurately assess the intensive urban land use(IULU)in Hohhot City,this study built an indicator system by integrating the industry survey data and the features extracted from remote sensing images.Then,it assessed the urban function zoning and the IULU in Hohhot through quantification and integration based on land.The results show that 93.0%of the functional areas share common multivariate quantitative characteristics,indicating suitable functional orientation and land use.Moreover,this study built a high-precision multivariate regression model using remote sensing factors(i.e.,the principal components of images and the proportions of the shadow and vegetation areas)and survey data(i.e.,carbon stock,building density,and the land prices of residential and commercial functional areas).Then,the floor area ratio was calculated based on the model,thus achieving the quantitative assessment of the IULU.The results of this study show that the assessment of IULU based on remote sensing images and industry survey data is feasible and has value in popularization and applications.
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