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Remote Sensing for Natural Resources    2023, Vol. 35 Issue (2) : 149-156     DOI: 10.6046/zrzyyg.2022099
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Assessing intensive urban land use based on remote sensing images and industry survey data
WANG Haiwen1,2,3(), JIA Junqing2, LI Beichen2, DONG Yongping4, HA Sier4
1. School of Geography Science, Inner Mongolia Normal University, Hohhot 010010, China
2. Inner Mongolia Land and Space Planning Institute, Hohhot 010010, China
3. Inner Mongolia Autonomous Region Land Use and Renovation Engineering Technology Research Center, Hohhot 010010, China
4. Xi’an Changlin Fengcao Ecological Technology Co., Ltd., Xi’an 710000, China
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Abstract  

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.
Keywords land resources      intensive urban land use      remote sensing      floor area ratio     
ZTFLH:  TP79  
  F301.2  
Issue Date: 07 July 2023
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Haiwen WANG
Junqing JIA
Beichen LI
Yongping DONG
Sier HA
Cite this article:   
Haiwen WANG,Junqing JIA,Beichen LI, et al. Assessing intensive urban land use based on remote sensing images and industry survey data[J]. Remote Sensing for Natural Resources, 2023, 35(2): 149-156.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022099     OR     https://www.gtzyyg.com/EN/Y2023/V35/I2/149
Fig.1  Flowchart of data processing
Fig.2  Local schematic of shadow area extraction
Fig.3  Partial schematic diagram of vegetation area extraction
原始功能区类别 预测各组样本
居住功能区 商业功能区 教育功能区 工业功能区 行政办公功能区 总计/个
数量/个 占比/% 数量/个 占比/% 数量/个 占比/% 数量/个 占比/% 数量/个 占比/%
居住功能区 208 97.2 2 0.9 0 0 2 0.9 2 0.9 214
商业功能区 3 4.9 50 82 0 0 1 1.6 7 11.5 61
教育功能区 1 3.4 0 0 27 93.1 0 0 1 3.4 29
工业功能区 0 0 0 0 0 0 11 84.6 2 15.4 13
行政办公功能区 1 2.6 2 5.1 1 2.6 0 0 35 89.7 39
未分组个案 4 28.6 3 21.4 6 42.9 1 7.1 0 0 14
Tab.1  Discrimination and classification results of functional areas in the central urban area of Hohhot
Fig.4  Three-dimensional scatter plot of the classification of functional areas in the central urban area of Hohhot
因子 未标准
化系数		 标准
误差		 标准化
系数		 t 显著性
建筑阴影面积占比 -1.668 0.553 -0.355 -3.015 0.003
碳储量的自然对数 0.176 0.027 0.236 6.525 0.000
影像第1主成分方差 0.000 0.000 0.298 5.555 0.000
建筑密度的倒数 -18.186 3.612 -0.408 -5.034 0.000
影像第3主成分方差 -0.001 0.000 -0.223 -3.554 0.000
影像第2主成分均值 -0.002 0.000 -0.585 -6.974 0.000
建筑阴影面积占比与建筑密度的比值 0.456 0.115 0.342 3.956 0.000
影像第3主成分均值 -0.001 0.000 -0.292 -5.386 0.000
影像第4主成分均值 -0.003 0.001 -0.209 -4.928 0.000
影像第1主成分均值 -0.001 0.000 -0.539 -4.960 0.000
建筑密度 -0.010 0.004 -0.170 -2.730 0.007
商业地价 0.000 0.000 0.506 4.701 0.000
住宅地价 0.000 0.000 -0.319 -3.900 0.000
综合地价 -3.054E-5 0.000 -0.135 -2.549 0.011
Tab.2  Coefficients of multiple regression model for natural logarithm of floor area ratio in the central area of Hohhot
Fig.5  Relationship between natural logarithm of floor area ratio and predicted value of the variable factor multiple regression analysis in the central area of Hohhot
Fig.6  Predicted value of plot ratio in functional areas in the central urban area of Hohhot
功能区类别 低度利用 集约利用 高度利用 总计/hm2
面积/hm2 比例/% 面积/hm2 比例/% 面积/hm2 比例/%
居住功能区 6 579.26 54.97 4 581.69 38.28 807.86 6.75 11 968.82
商业功能区 289.48 46.35 264.97 42.43 70.10 11.22 624.55
教育功能区 559.48 51.60 400.72 36.96 124.09 11.44 1 084.29
工业功能区 2 075.31 74.71 638.45 22.98 64.10 2.31 2 777.86
行政办公功能区 176.96 94.48 10.34 5.52 0.00 0.00 187.30
合计 9 680.49 58.17 5 896.18 35.43 1 066.15 6.41 16 642.82
Tab.3  Land use evaluation area and proportion of different functional areas in the central city of Hohhot
Fig.7  Level of intensive land use in functional areas in the central urban area of Hohhot
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