23.2.9.4.4 Climate Zones

Chapter Contents (Back)
Climate Zones.
See also Climate Data.

Bechtel, B.[Benjamin], Alexander, P.J.[Paul J.], Böhner, J.[Jürgen], Ching, J.[Jason], Conrad, O.[Olaf], Feddema, J.[Johannes], Mills, G.[Gerald], See, L.[Linda], Stewart, I.[Iain],
Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities,
IJGI(4), No. 1, 2015, pp. 199-219.
DOI Link 1502
BibRef

Geletic, J.[Jan], Lehnert, M.[Michal], Dobrovolný, P.[Petr],
Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities,
RS(8), No. 10, 2016, pp. 788.
DOI Link 1609
BibRef

Hu, J.L.[Jing-Liang], Ghamisi, P.[Pedram], Zhu, X.X.[Xiao Xiang],
Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Qiu, C.P.[Chun-Ping], Schmitt, M.[Michael], Mou, L.C.[Li-Chao], Ghamisi, P.[Pedram], Zhu, X.X.[Xiao Xiang],
Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Wang, C.Y.[Chu-Yuan], Middel, A.[Ariane], Myint, S.W.[Soe W.], Kaplan, S.[Shai], Brazel, A.J.[Anthony J.], Lukasczyk, J.[Jonas],
Assessing local climate zones in arid cities: The case of Phoenix, Arizona and Las Vegas, Nevada,
PandRS(141), 2018, pp. 59-71.
Elsevier DOI 1806
Local climate zone, Land use land cover, Sky view factor, Land surface temperature, Phoenix, Las Vegas BibRef

Vandamme, S.[Stéphanie], Demuzere, M.[Matthias], Verdonck, M.L.[Marie-Leen], Zhang, Z.M.[Zhi-Ming], van Coillie, F.[Frieke],
Revealing Kunming's (China) Historical Urban Planning Policies Through Local Climate Zones,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Yoo, C.[Cheolhee], Han, D.[Daehyeon], Im, J.[Jungho], Bechtel, B.[Benjamin],
Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images,
PandRS(157), 2019, pp. 155-170.
Elsevier DOI 1911
Local climate zone, Convolutional neural networks, Random forest, Urban climate, Landsat BibRef

Zhao, N.[Nan], Ma, A.L.[Ai-Long], Zhong, Y.F.[Yan-Fei], Zhao, J.[Ji], Cao, L.Q.[Li-Qin],
Self-Training Classification Framework with Spatial-Contextual Information for Local Climate Zones,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhang, G., Ghamisi, P., Zhu, X.X.,
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones,
GeoRS(57), No. 10, October 2019, pp. 7623-7642.
IEEE DOI 1910
geophysical image processing, geophysical signal processing, geophysical techniques, image classification, image fusion, satellite images BibRef

Johnson, B.A.[Brian Alan], Jozdani, S.E.[Shahab Eddin],
Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics that Affect the Local Thermal Environment,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef
And: Reply to Comments:
Confusion Matrices Help Prevent Reader Confusion,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
Comments:
See also Weighted Accuracy Measure for Land Cover Mapping: Comment on Johnson et al. Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics that Affect the Local Thermal Environment. Remote Sens. 2019, 11, 2420, A. BibRef

Bechtel, B.[Benjamin], Demuzere, M.[Matthias], Stewart, I.D.[Iain D.],
A Weighted Accuracy Measure for Land Cover Mapping: Comment on Johnson et al. Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics that Affect the Local Thermal Environment. Remote Sens. 2019, 11, 2420,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
Article and reply to comments
See also Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics that Affect the Local Thermal Environment. BibRef

Chen, Y.[Yanan], Gu, H.F.[Hong-Fan], Wang, M.[Munan], Gu, Q.[Qing], Ding, Z.[Zhi], Ma, M.G.[Ming-Guo], Liu, R.Y.[Rong-Yuan], Tang, X.G.[Xu-Guang],
Contrasting Performance of the Remotely-Derived GPP Products over Different Climate Zones across China,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
GPP: gross primary production. BibRef

Qiu, C.P.[Chun-Ping], Mou, L.C.[Li-Chao], Schmitt, M.[Michael], Zhu, X.X.[Xiao Xiang],
Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network,
PandRS(154), 2019, pp. 151-162.
Elsevier DOI 1907
Land cover, Local climate zones (LCZs), Sentinel-2, Multi-seasonal, Recurrent neural network (RNN) BibRef

Liu, S.J.[Sheng-Jie], Shi, Q.[Qian],
Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China,
PandRS(164), 2020, pp. 229-242.
Elsevier DOI 2005
Local climate zone, Convolutional neural network, Scene classification, Metropolitan China, Urban climate BibRef

Yoo, C.[Cheolhee], Lee, Y.[Yeonsu], Cho, D.J.[Dong-Jin], Im, J.H.[Jung-Ho], Han, D.[Daehyeon],
Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Lehnert, M.[Michal], Savic, S.[Stevan], Miloševic, D.[Dragan], Dunjic, J.[Jelena], Geletic, J.[Jan],
Mapping Local Climate Zones and Their Applications in European Urban Environments: A Systematic Literature Review and Future Development Trends,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Chen, C.M.[Chao-Min], Bagan, H.[Hasi], Xie, X.[Xuan], La, Y.[Yune], Yamagata, Y.[Yoshiki],
Combination of Sentinel-2 and PALSAR-2 for Local Climate Zone Classification: A Case Study of Nanchang, China,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Zeng, L.L.[Ling-Lin], Hu, Y.C.[Yu-Chao], Wang, R.[Rui], Zhang, X.[Xiang], Peng, G.Z.[Guo-Zhang], Huang, Z.Y.[Zhen-Yu], Zhou, G.Q.[Guo-Qing], Xiang, D.X.[Da-Xiang], Meng, R.[Ran], Wu, W.X.[Wei-Xiong], Hu, S.[Shun],
8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine Learning Method on a Climate Zone to Global Scale,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Kim, M.H.[Min-Ho], Jeong, D.[Doyoung], Kim, Y.[Yongil],
Local climate zone classification using a multi-scale, multi-level attention network,
PandRS(181), 2021, pp. 345-366.
Elsevier DOI 2110
Local climate zone, Scene classification, Multi-scale multi-level attention, Urban climate BibRef

Li, N.[Nana], Yang, J.[Jun], Qiao, Z.[Zhi], Wang, Y.W.[Yong-Wei], Miao, S.G.[Shi-Guang],
Urban Thermal Characteristics of Local Climate Zones and Their Mitigation Measures across Cities in Different Climate Zones of China,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Stredová, H.[Hana], Chuchma, F.[Filip], Rožnovský, J.[Jaroslav], Streda, T.[Tomáš],
Local Climate Zones, Land Surface Temperature and Air Temperature Interactions: Case Study of Hradec Králové, the Czech Republic,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Shi, G.X.[Guang-Xun], Ye, P.[Peng], Yang, X.W.[Xian-Wu],
Spatio-Temporal Variation Analysis of the Biological Boundary Temperature Index Based on Accumulated Temperature: A Case Study of the Yangtze River Basin,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef
And: Correction: IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
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Alghamdi, A.S.[Ali S.], Alzhrani, A.I.[Ahmed Ibrahim], Alanazi, H.H.[Humud Hadi],
Local Climate Zones and Thermal Characteristics in Riyadh City, Saudi Arabia,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Jena, R.K.[Roomesh Kumar], Bandyopadhyay, S.[Siladitya], Pradhan, U.K.[Upendra Kumar], Moharana, P.C.[Pravash Chandra], Kumar, N.[Nirmal], Sharma, G.K.[Gulshan Kumar], Roy, P.D.[Partha Deb], Ghosh, D.[Dibakar], Ray, P.[Prasenjit], Padua, S.[Shelton], Ramachandran, S.[Sundaram], Das, B.[Bachaspati], Singh, S.K.[Surendra Kumar], Ray, S.K.[Sanjay Kumar], Alsuhaibani, A.M.[Amnah Mohammed], Gaber, A.[Ahmed], Hossain, A.[Akbar],
Geospatial Modelling for Delineation of Crop Management Zones Using Local Terrain Attributes and Soil Properties,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Oskouei, E.A.[Ebrahim Asadi], Khaki, B.D.[Bahareh Delsouz], Kouzegaran, S.[Saeedeh], Navidi, M.N.[Mir Naser], Haghighatd, M.[Masoud], Davatgar, N.[Naser], Lopez-Baeza, E.[Ernesto],
Mapping Climate Zones of Iran Using Hybrid Interpolation Methods,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Manyanya, T.[Tshilidzi], Teerlinck, J.[Janne], Somers, B.[Ben], Verbist, B.[Bruno], Nethengwe, N.[Nthaduleni],
Sentinel-Based Adaptation of the Local Climate Zones Framework to a South African Context,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yan, Z.Y.[Zi-Yun], Ma, L.[Lei], He, W.Q.[Wei-Qiang], Zhou, L.[Liang], Lu, H.[Heng], Liu, G.[Gang], Huang, G.[Guoan],
Comparing Object-Based and Pixel-Based Methods for Local Climate Zones Mapping with Multi-Source Data,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhou, L.[Liang], Ma, L.[Lei], Johnson, B.A.[Brian Alan], Yan, Z.Y.[Zi-Yun], Li, F.X.[Fei-Xue], Li, M.C.[Man-Chun],
Patch-Based Local Climate Zones Mapping and Population Distribution Pattern in Provincial Capital Cities of China,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Yao, Q.X.[Qian-Xiang], Li, H.[Hui], Gao, P.[Peng], Guo, H.J.[Hao-Jia], Zhong, C.[Cheng],
Mapping Irregular Local Climate Zones from Sentinel-2 Images Using Deep Learning with Sequential Virtual Scenes,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Alam, K.F.[Kazi Faiz], Ahamed, T.[Tofael],
Climate-Adaptive Potential Crops Selection in Vulnerable Agricultural Lands Adjacent to the Jamuna River Basin of Bangladesh Using Remote Sensing and a Fuzzy Expert System,
RS(15), No. 8, 2023, pp. 2201.
DOI Link 2305
BibRef

Mopan, Y.E.A.[Yesid Ediver Anacona], Pino, A.F.S.[Andrés Felipe Solis], Rubiano-Ovalle, O.[Oscar], Paz, H.[Helmer], Mejia, I.R.[Isabel Ramirez],
Spatial Analysis of the Suitability of Hass Avocado Cultivation in the Cauca Department, Colombia, Using Multi-Criteria Decision Analysis and Geographic Information Systems,
IJGI(12), No. 4, 2023, pp. 136.
DOI Link 2305
BibRef

Ma, L.[Lei], Yan, Z.[Ziyun], He, W.Q.[Wei-Qiang], Lv, L.G.[Li-Gang], He, G.[Guangjun], Li, M.C.[Man-Chun],
Towards better exploiting object-based image analysis paradigm for local climate zones mapping,
PandRS(199), 2023, pp. 73-86.
Elsevier DOI 2305
Local climate zones, OBIA, Remote sensing, Urban morphology, Sentinel 2 BibRef

Wang, Z.[Ziyu], Cao, S.S.[Shi-Song], Du, M.Y.[Ming-Yi], Song, W.[Wen], Quan, J.L.[Jin-Ling], Lv, Y.[Yang],
Local Climate Zone Classification by Seasonal and Diurnal Satellite Observations: An Integration of Daytime Thermal Infrared Multispectral Imageries and High-Resolution Night-Time Light Data,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Li, W.[Wei], Gao, J.C.[Jia-Cheng], Mamtimin, A.[Ali], Liu, Y.Q.[Yong-Qiang], Wang, Y.[Yu], Song, M.[Meiqi], Wen, C.[Cong], Aihaiti, A.[Ailiyaer], Yang, F.[Fan], Huo, W.[Wen], Zhou, C.L.[Cheng-Long], Wang, W.B.[Wen-Biao], Cui, Z.N.[Zheng-Nan],
Parameterization and Remote Sensing Retrieval of Land Surface Processes in the Gurbantunggut Desert, China,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
Study of a desert climate. BibRef

Wei, J.F.[Jiang-Feng], Liu, X.C.[Xiao-Cong], Zhou, B.T.[Bo-Tao],
Sensitivity of Vegetation to Climate in Mid-to-High Latitudes of Asia and Future Vegetation Projections,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Hou, X.Y.[Xin-Yan], Xie, X.[Xuan], Bagan, H.[Hasi], Chen, C.M.[Chao-Min], Wang, Q.[Qinxue], Yoshida, T.[Takahiro],
Exploring Spatiotemporal Variations in Land Surface Temperature Based on Local Climate Zones in Shanghai from 2008 to 2020,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Wang, Y.W.[Yong-Wei], Zhao, D.[Danmeng], Ma, Q.[Qian],
Developing Comprehensive Local Climate Zone Land Use Datasets for Advanced High-Resolution Urban Climate and Environmental Modeling,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Liang, Y.[Ying], Song, W.[Wen], Cao, S.[Shisong], Du, M.Y.[Ming-Yi],
Local Climate Zone Classification Using Daytime Zhuhai-1 Hyperspectral Imagery and Nighttime Light Data,
RS(15), No. 13, 2023, pp. 3351.
DOI Link 2307
BibRef

Li, S.[Shan], Li, Q.[Qiang], Zhang, J.H.[Jia-Hua], Zhang, S.C.[Shi-Chao], Wang, X.[Xue], Yang, S.S.[Shan-Shan], Zhang, S.[Sha],
Study on the Spatial and Temporal Distribution of Urban Vegetation Phenology by Local Climate Zone and Urban-Rural Gradient Approach,
RS(15), No. 16, 2023, pp. 3957.
DOI Link 2309
BibRef

Peng, L.[Lei], Wan, Y.B.[Yan-Bo], Shi, H.[Haobo], Anwaier, A.[Abudureyimu], Shi, Q.D.[Qing-Dong],
Influence of Climate, Topography, and Hydrology on Vegetation Distribution Patterns: Oasis in the Taklamakan Desert Hinterland,
RS(15), No. 22, 2023, pp. 5299.
DOI Link 2311
BibRef

Mushore, T.D.[Terence Darlington], Odindi, J.[John], Slotow, R.[Rob], Mutanga, O.[Onisimo],
Remote Sensing-Based Outdoor Thermal Comfort Assessment in Local Climate Zones in the Rural-Urban Continuum of eThekwini Municipality, South Africa,
RS(15), No. 23, 2023, pp. 5461.
DOI Link 2312
BibRef

Li, Y.[Yingyu], Sun, Q.[Qiaoqi], Zou, H.F.[Hong-Fei], Marschner, P.[Petra],
Distance to a River Modifies Climate Legacy on Vegetation Growth in a Boreal Riparian Forest,
RS(15), No. 23, 2023, pp. 5582.
DOI Link 2312
BibRef

Faraslis, I.[Ioannis], Dalezios, N.R.[Nicolas R.], Alpanakis, N.[Nicolas], Tziatzios, G.A.[Georgios A.], Spiliotopoulos, M.[Marios], Sakellariou, S.[Stavros], Sidiropoulos, P.[Pantelis], Dercas, N.[Nicholas], Domínguez, A.[Alfonso], Martínez-López, J.A.[José Antonio], López-Urrea, R.[Ramón], Karam, F.[Fadi], Amami, H.[Hacib], Nciri, R.[Radhouan],
Remotely Sensed Agroclimatic Classification and Zoning in Water-Limited Mediterranean Areas towards Sustainable Agriculture,
RS(15), No. 24, 2023, pp. 5720.
DOI Link 2401
BibRef

Duan, J.[Jiaquan], Cao, Y.[Yue'e], Yu, S.[Shulin], Fang, X.N.[Xue-Ning], Li, R.Q.[Ren-Qiang], Xu, Z.[Zhen], Long, C.[Cheng], Wang, J.[Jichun], Wang, P.[Pan],
Incorporating Bioclimatic Zones into Informing Ecological Networks for Better Biodiversity Conservation,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Xu, H.[Hua], Cheng, W.M.[Wei-Ming], Wang, B.X.[Bai-Xue], Song, K.Y.[Ke-Yu], Zhang, Y.[Yichi], Wang, R.[Ruibo], Bao, A.[Anming],
Effects of Geomorphic Spatial Differentiation on Vegetation Distribution Based on Remote Sensing and Geomorphic Regionalization,
RS(16), No. 6, 2024, pp. 1062.
DOI Link 2403
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Das, M., Ghosh, S.K.,
Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach,
ICAPR15(1-6)
IEEE DOI 1511
climatology BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Growing Season Dates, Spring, Green-Up .


Last update:Jun 5, 2024 at 10:22:22