Spatiotemporal Modeling and Future Trends of Land Surface Temperature Using Remote Sensing and CA-ANN in Industrial Narayanganj, Bangladesh

The thermal consequences of industrial land transformation remain underexplored in rapidly urbanizing regions of Bangladesh. This study presents a novel approach of how extensive industrial expansion in Narayanganj, a major manufacturing hub dominated by textile, knitwear and dyeing industries, has...

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Principais autores:	Sayed Abu Johany, Sajid Ibne Jamalfaisal, Md Sabit Mia, Sujit Kumar Roy, Md. Tahsinur Rahman, Md. Mahmudul Hasan, Wafa Saleh Alkhuraiji, Martin Boltižiar, Mohamed Zhran
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2026-03-01
叢編:	Land
主題:	LULC CA-ANN model biophysical indices artificial neural network Narayanganj
在線閱讀:	https://www.mdpi.com/2073-445X/15/3/423
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