Assessing urban landscape dynamics and its relations to changing surface thermal character and prospects: a geospatial study of a tropical industrial city using machine learning algorithms

Sribas Patra, Kapil Kumar Gavsker, Tapas Das

Open source

DOI
10.1007/s11356-025-36572-4
Published
2025-06-09
Container
Environmental Science and Pollution Research
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11356-025-36572-4,
  title = {Assessing urban landscape dynamics and its relations to changing surface thermal character and prospects: a geospatial study of a tropical industrial city using machine learning algorithms},
  author = {Sribas Patra and Kapil Kumar Gavsker and Tapas Das},
  year = {2025},
  journal = {Environmental Science and Pollution Research},
  doi = {10.1007/s11356-025-36572-4},
  url = {https://doi.org/10.1007/s11356-025-36572-4}
}

RIS

TY  - JOUR
TI  - Assessing urban landscape dynamics and its relations to changing surface thermal character and prospects: a geospatial study of a tropical industrial city using machine learning algorithms
AU  - Sribas Patra
AU  - Kapil Kumar Gavsker
AU  - Tapas Das
PY  - 2025
JO  - Environmental Science and Pollution Research
DO  - 10.1007/s11356-025-36572-4
UR  - https://doi.org/10.1007/s11356-025-36572-4
ER  - 

APA

Patra, S., Gavsker, K. K., & Das, T. (2025). Assessing urban landscape dynamics and its relations to changing surface thermal character and prospects: a geospatial study of a tropical industrial city using machine learning algorithms. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-025-36572-4

Source records