Detecting dryland forests across contrasting vegetation structures: object- and pixel-based classification methods for forest monitoring
- DOI
- 10.1007/s10661-026-16025-2
- Published
- 2026-10-12
- 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/s10661-026-16025-2,
title = {Detecting dryland forests across contrasting vegetation structures: object- and pixel-based classification methods for forest monitoring},
author = {Bárbara Guida-Johnson and Leandro M. Alvarez and Juan A. Alvarez and Anabela Laudecina and Pablo E. Villagra},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-16025-2},
url = {https://doi.org/10.1007/s10661-026-16025-2}
}RIS
TY - JOUR TI - Detecting dryland forests across contrasting vegetation structures: object- and pixel-based classification methods for forest monitoring AU - Bárbara Guida-Johnson AU - Leandro M. Alvarez AU - Juan A. Alvarez AU - Anabela Laudecina AU - Pablo E. Villagra PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-16025-2 UR - https://doi.org/10.1007/s10661-026-16025-2 ER -
APA
Guida-Johnson, B., Alvarez, L. M., Alvarez, J. A., Laudecina, A., & Villagra, P. E. (2026). Detecting dryland forests across contrasting vegetation structures: object- and pixel-based classification methods for forest monitoring. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-16025-2
Source records
- crossref · retrieved 2026-11-10T11:21:37.628Z