BOSSE. A tool for benchmarking new methods in remote sensing of plant functional diversity, and more
DOI:
https://doi.org/10.17398/3101-7177.2.260Palabras clave:
Diversidad funcional de la vegetación, teledetección, simulador virtual, métodosResumen
This work presents the first Biodiversity Observing System Simulation Experiment (BOSSE) and how it has been used to solve five methodological fundamental questions in the study of plant functional diversity with remote sensing. BOSSE simulates virtual scenes with plant species and their functional traits, remote sensing imagery, and ecosystem functions, which has allowed assessing the capability of different methodological choices, as well as the impact of spatial resolution. Subsequent works focus on supporting the analysis of experimental data and expand to other areas, such as model transferability through different spatial scales.
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Pacheco‐Labrador, J., Gomarasca, U., Li, W., Migliavacca, M., Jung, M., & Duveiller, G. (2025). BOSSE v1.0: The Biodiversity Observing System Simulation Experiment. Geosci. Model Dev., 18(21), 8401–8422. https://doi.org/10.5194/gmd-18-8401-2025
Pacheco-Labrador, J., Gomarasca, U., Pabon-Moreno, D. E., Li, W., Migliavacca, M., Jung, M., & Duveiller, G. (2026). Benchmarking remote sensing methods to capture plant functional diversity from space. Ecological Informatics, 94, 103636. https://doi.org/10.1016/j.ecoinf.2026.103636
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Derechos de autor 2026 Javier Pacheco-Labrador, Ulisse Gomarasca, Daniel E. Pabon-Moreno, Wantong Li, Mirco Migliavacca, Martin Jung, Gregory Duveiller, Juan R. Bustos-Caparrós, Jorge Lagranja-Usán, M. Pilar Martín (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
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