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CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan

Cellular Automata models are used for simulating spatial distributions and Markov Chain models are used for simulating temporal changes. The main aim of this study is to investigate the effect of urban growth on Faisalabad. This research is aimed at predicting seasonal Land-Surface-Temperature (LST)...

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Uloženo v:
Hlavní autoři: Aqil Tariq, Hong Shu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2020-10-01
Edice:Remote Sensing
Témata:
LULC
land surface temperature
urban expansion
vegetation indices
CA-Markov Chain analysis
On-line přístup:https://www.mdpi.com/2072-4292/12/20/3402
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