2023
DOI: 10.1007/s12517-022-11089-z
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Monitoring urban growth in Google Earth Engine from 1991 to 2021 and predicting in 2041 using CA-MARKOV and geometry: case study—Tehran

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Cited by 5 publications
(3 citation statements)
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“…The research looked at the effectiveness of the automated classifications in developing accurate LULC maps for 2017 and 2021 [41]. Another research [42] held in Tehran, Iran, aimed at investigating the urbanization process. This study used Landsat time series imagery from Google Earth dating from 1991 to 2021 and constructed LULC maps using these images.…”
Section: Land Use Planning and Environmental Protectionmentioning
confidence: 99%
See 1 more Smart Citation
“…The research looked at the effectiveness of the automated classifications in developing accurate LULC maps for 2017 and 2021 [41]. Another research [42] held in Tehran, Iran, aimed at investigating the urbanization process. This study used Landsat time series imagery from Google Earth dating from 1991 to 2021 and constructed LULC maps using these images.…”
Section: Land Use Planning and Environmental Protectionmentioning
confidence: 99%
“…This study used Landsat time series imagery from Google Earth dating from 1991 to 2021 and constructed LULC maps using these images. The study showed that there was a substantial rise in urban land cover, which is an indication of the fast urbanization of Tehran over the last three decades [42]. In another study, LULC analysis was carried out around the Jatibarang Reservoir in Semarang City, Indonesia [43].…”
Section: Land Use Planning and Environmental Protectionmentioning
confidence: 99%
“…The application of the CA-Markov models has yielded several significant findings. For instance, studies have shown that the availability of infrastructure and the expansion of transportation networks can significantly impact urban sprawl and the conversion of agricultural land to urban use [19]. Similarly, the effects of population growth and income on urban expansion have been studied, with results indicating that income levels are critical in determining urban growth patterns.…”
Section: Introductionmentioning
confidence: 99%