22.2.25.1 Urban Green Space Mapping, Detection, Analysis

Chapter Contents (Back)
Green Space. Urban Analysis. Urban Green Space.

Bao, T.L.[Tong-Liga], Li, X.M.[Xue-Ming], Zhang, J.[Jing], Zhang, Y.J.[Ying-Jia], Tian, S.Z.[Shen-Zhen],
Assessing the Distribution of Urban Green Spaces and its Anisotropic Cooling Distance on Urban Heat Island Pattern in Baotou, China,
IJGI(5), No. 2, 2016, pp. 12.
DOI Link 1603
BibRef

Zhang, Y.[Yuan], Li, Q.Z.[Qiang-Zi], Huang, H.P.[Hui-Ping], Wu, W.[Wei], Du, X.[Xin], Wang, H.Y.[Hong-Yan],
The Combined Use of Remote Sensing and Social Sensing Data in Fine-Grained Urban Land Use Mapping: A Case Study in Beijing, China,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Chen, W.[Wei], Huang, H.P.[Hui-Ping], Dong, J.W.[Jin-Wei], Zhang, Y.[Yuan], Tian, Y.C.[Yi-Chen], Yang, Z.Q.[Zhi-Qi],
Social functional mapping of urban green space using remote sensing and social sensing data,
PandRS(146), 2018, pp. 436-452.
Elsevier DOI 1812
Remote sensing, Social sensing, Urban green space, Social functional mapping BibRef

Sha, Z.Y.[Zong-Yao], Ali, Y.Y.[Yah-Ya], Wang, Y.W.[Yu-Wei], Chen, J.P.[Jiang-Ping], Tan, X.C.[Xi-Cheng], Li, R.[Ruren],
Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Huang, C.[Conghong], Yang, J.[Jun], Jiang, P.[Peng],
Assessing Impacts of Urban Form on Landscape Structure of Urban Green Spaces in China Using Landsat Images Based on Google Earth Engine,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Xiao, P.F.[Peng-Feng], Zhang, X.L.[Xue-Liang], Zhang, H.M.[Hong-Min], Hu, R.[Rui], Feng, X.Z.[Xue-Zhi],
Multiscale Optimized Segmentation of Urban Green Cover in High Resolution Remote Sensing Image,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Mears, M.[Meghann], Brindley, P.[Paul],
Measuring Urban Greenspace Distribution Equity: The Importance of Appropriate Methodological Approaches,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
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Jang, K.M.[Kee Moon], Kim, J.M.[Jae-Man], Lee, H.Y.[Hye-Yeong], Cho, H.[Hyemin], Kim, Y.[Youngchul],
Urban Green Accessibility Index: A Measure of Pedestrian-Centered Accessibility to Every Green Point in an Urban Area,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Kuang, W.H.[Wen-Hui], Dou, Y.[Yinyin],
Investigating the Patterns and Dynamics of Urban Green Space in China's 70 Major Cities Using Satellite Remote Sensing,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Furberg, D.[Dorothy], Ban, Y.[Yifang], Mörtberg, U.[Ulla],
Monitoring Urban Green Infrastructure Changes and Impact on Habitat Connectivity Using High-Resolution Satellite Data,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Iraegui, E.[Edorta], Augusto, G.[Gabriela], Cabral, P.[Pedro],
Assessing Equity in the Accessibility to Urban Green Spaces According to Different Functional Levels,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link 2005
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Ludwig, C.[Christina], Hecht, R.[Robert], Lautenbach, S.[Sven], Schorcht, M.[Martin], Zipf, A.[Alexander],
Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
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Giuliani, G.[Gregory], Petri, E.[Ekkehard], Interwies, E.[Eduard], Vysna, V.[Veronika], Guigoz, Y.[Yaniss], Ray, N.[Nicolas], Dickie, I.[Ian],
Modelling Accessibility to Urban Green Areas Using Open Earth Observations Data: A Novel Approach to Support the Urban SDG in Four European Cities,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Liu, Q.[Qinqin], Tian, Y.[Yichen], Yin, K.[Kai], Zhang, F.F.[Fei-Fei], Huang, H.P.[Hui-Ping], Chen, F.[Fangmiao],
Landscape Pattern Theoretical Optimization of Urban Green Space Based on Ecosystem Service Supply and Demand,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
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Huerta, R.E.[Roberto E.], Yépez, F.D.[Fabiola D.], Lozano-García, D.F.[Diego F.], Cobián, V.H.G.[Víctor H. Guerra], Fierro, A.L.F.[Adrián L. Ferriño], de León Gómez, H.[Héctor], González, R.A.C.[Ricardo A. Cavazos], Vargas-Martínez, A.[Adriana],
Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Nistor, C.[Constantin], Vîrghileanu, M.[Marina], Cârlan, I.[Irina], Mihai, B.A.[Bogdan-Andrei], Toma, L.[Liviu], Olariu, B.[Bogdan],
Remote Sensing-Based Analysis of Urban Landscape Change in the City of Bucharest, Romania,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Cui, N.[Nan], Malleson, N.[Nick], Houlden, V.[Victoria], Comber, A.[Alexis],
Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
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Song, L.[Liuyi], Zhang, A.[An],
Predict the Suitable Places to Run in the Urban Area of Beijing by Using the Maximum Entropy Model,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
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Pristeri, G.[Guglielmo], Peroni, F.[Francesca], Pappalardo, S.E.[Salvatore Eugenio], Codato, D.[Daniele], Masi, A.[Antonio], de Marchi, M.[Massimo],
Whose Urban Green? Mapping and Classifying Public and Private Green Spaces in Padua for Spatial Planning Policies,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
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Zhao, J.C.[Jia-Cheng], Zhao, X.[Xiang], Liang, S.L.[Shun-Lin], Wang, H.[Haoyu], Liu, N.J.[Nai-Jing], Liu, P.[Ping], Wu, D.H.[Dong-Hai],
Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Zhu, W.H.[Wen-Hao], Sun, J.[Jiabin], Yang, C.[Chaobin], Liu, M.[Min], Xu, X.L.[Xin-Liang], Ji, C.[Caoxiang],
How to Measure the Urban Park Cooling Island? A Perspective of Absolute and Relative Indicators Using Remote Sensing and Buffer Analysis,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Hofierka, J., Gallay, M., Kanuk, J., Šupinský, J., Šašak, J.,
High-resolution Urban Greenery Mapping for Micro-climate Modelling Based On 3D City Models,
GeoInfo17(7-12).
DOI Link 1805
BibRef

Pham, T.T.H.[Thi Thanh Hien], Apparicio, P.[Philippe],
Mapping urban green space in Montreal for better environmental justice: objectoriented classification of very-high-resolution images,
CGC10(203).
PDF File. 1006
BibRef

Yokota, S., Takeuchi, K.,
Study on the relationship between landscape characteristics of fragmented urban green spaces and distribution of urban butterflies - Application of object-based satellite image analysis,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Change Detection, Urban Area Land Cover, Temporal Analysis .


Last update:Sep 19, 2021 at 21:11:01