Above-ground biomass estimation in tropical dry deciduous forests using multi-sensor data from ALOS-2 and sentinel-2 with advanced machine learning approaches
- DOI
- 10.1007/s10661-026-16020-7
- Published
- 2026-10-14
- 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/s10661-026-16020-7,
title = {Above-ground biomass estimation in tropical dry deciduous forests using multi-sensor data from ALOS-2 and sentinel-2 with advanced machine learning approaches},
author = {D. Ravivarma and Milkuri Chiranjeeva Reddy and Mhaiskar Priya Rajendra and Ch. Bhargavi and Faseela V. Sainuddin and Vishnu Muraleedharan and C. Sudhakar Reddy},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-16020-7},
url = {https://doi.org/10.1007/s10661-026-16020-7}
}RIS
TY - JOUR TI - Above-ground biomass estimation in tropical dry deciduous forests using multi-sensor data from ALOS-2 and sentinel-2 with advanced machine learning approaches AU - D. Ravivarma AU - Milkuri Chiranjeeva Reddy AU - Mhaiskar Priya Rajendra AU - Ch. Bhargavi AU - Faseela V. Sainuddin AU - Vishnu Muraleedharan AU - C. Sudhakar Reddy PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-16020-7 UR - https://doi.org/10.1007/s10661-026-16020-7 ER -
APA
Ravivarma, D., Reddy, M. C., Rajendra, M. P., Bhargavi, C., Sainuddin, F. V., Muraleedharan, V., & Reddy, C. S. (2026). Above-ground biomass estimation in tropical dry deciduous forests using multi-sensor data from ALOS-2 and sentinel-2 with advanced machine learning approaches. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-16020-7
Source records
- crossref · retrieved 2026-11-08T22:54:19.654Z