Modelling the intensity of surface urban heat island and predicting the emerging patterns: Landsat multi-temporal images and Tehran as case study-Reference-Cited by-同舟云学术

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Modelling the intensity of surface urban heat island and predicting the emerging patterns: Landsat multi-temporal images and Tehran as case study

Published:2020-07-07 Issue:19 Volume:41 Page:7400-7426
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Nadizadeh Shorabeh Saman¹,Hamzeh Saeid¹,Zanganeh Shahraki Saeed²,Firozjaei Mohammad Karimi¹^ORCID,Jokar Arsanjani Jamal³^ORCID

Affiliation:

1. Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

2. Department of Human Geography, Faculty of Geography, University of Tehran, Tehran, Iran

3. Geoinformatics Research Group, Department of Planning and Development, Aalborg University Copenhagen, Copenhagen, Denmark

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1759841

Reference73 articles.

1. Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh

2. Characterizing, monitoring, and simulating land cover dynamics using GlobeLand30: A case study from 2000 to 2030

3. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

4. Tracking dynamic land-use change using spatially explicit Markov Chain based on cellular automata: the case of Tehran

5. Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach

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