Object-based characterization of vegetation heterogeneity with sentinel images proves efficient in a highly human-influenced National Park of Côte d’Ivoire
- DOI
- 10.1007/s10661-022-10792-4
- Published
- 2022-12-15
- 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/s10661-022-10792-4,
title = {Object-based characterization of vegetation heterogeneity with sentinel images proves efficient in a highly human-influenced National Park of Côte d’Ivoire},
author = {Stéphanie Diane Konan Houphlet and Pauline Dusseux and Adjo Estelle Geneviève Adiko and Arthur Brice Konan-Waidhet and François Munoz and Sylvain Bigot and Constant Yves Adou Yao},
year = {2022},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-022-10792-4},
url = {https://doi.org/10.1007/s10661-022-10792-4}
}RIS
TY - JOUR TI - Object-based characterization of vegetation heterogeneity with sentinel images proves efficient in a highly human-influenced National Park of Côte d’Ivoire AU - Stéphanie Diane Konan Houphlet AU - Pauline Dusseux AU - Adjo Estelle Geneviève Adiko AU - Arthur Brice Konan-Waidhet AU - François Munoz AU - Sylvain Bigot AU - Constant Yves Adou Yao PY - 2022 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-022-10792-4 UR - https://doi.org/10.1007/s10661-022-10792-4 ER -
APA
Houphlet, S. D. K., Dusseux, P., Adiko, A. E. G., Konan-Waidhet, A. B., Munoz, F., Bigot, S., & Yao, C. Y. A. (2022). Object-based characterization of vegetation heterogeneity with sentinel images proves efficient in a highly human-influenced National Park of Côte d’Ivoire. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-022-10792-4
Source records
- crossref · retrieved 2026-09-26T06:47:04.087Z