Letter to the editor “A hybrid machine learning approach to identify potential green cover area for bio–physical suitability mapping in the western semi–arid Rarh region of West Bengal, Purulia” by Ali et al. 2026, Environmental Monitoring and Assessment, 198,571
- DOI
- 10.1007/s10661-026-15691-6
- Published
- 2026-07-11
- Container
- Environmental Monitoring and Assessment
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15691-6,
title = {Letter to the editor “A hybrid machine learning approach to identify potential green cover area for bio–physical suitability mapping in the western semi–arid Rarh region of West Bengal, Purulia” by Ali et al. 2026, Environmental Monitoring and Assessment, 198,571},
author = {Eyyup Ensar Başakın},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-15691-6},
url = {https://doi.org/10.1007/s10661-026-15691-6}
}RIS
TY - JOUR TI - Letter to the editor “A hybrid machine learning approach to identify potential green cover area for bio–physical suitability mapping in the western semi–arid Rarh region of West Bengal, Purulia” by Ali et al. 2026, Environmental Monitoring and Assessment, 198,571 AU - Eyyup Ensar Başakın PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-15691-6 UR - https://doi.org/10.1007/s10661-026-15691-6 ER -
APA
Başakın, E. E. (2026). Letter to the editor “A hybrid machine learning approach to identify potential green cover area for bio–physical suitability mapping in the western semi–arid Rarh region of West Bengal, Purulia” by Ali et al. 2026, Environmental Monitoring and Assessment, 198,571. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-15691-6
Source records
- crossref · retrieved 2026-11-10T14:07:16.010Z