Passive and Active Remote Sensing Data as Indicators of Vegetation Condition in Dry Woodland
Author:
Funder
Universidad Nacional de San Juan
Fondo para la Investigación Científica y Tecnológica
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-022-01497-9.pdf
Reference57 articles.
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3. Bastin, J. F., Berrahmouni, N., Grainger, A., Maniatis, D., Mollicone, D., Moore, R., Patriarca, C., Picard, N., Sparrow, B. E., Abraham, M., Aloui, K., Atesoglu, A., Attore, F., Bassüllü, C., Bey, A., Garzuglia, M., García-Montero, L. G., Groot, N., Guerin, G., … Castro, R. (2017). The extent of forest in dryland biomes. Science, 356(6338), 635–638. https://doi.org/10.1126/science.aam6527
4. Bisigato, A. J., Villagra, P. E., Ares, J. O., & Rossi, B. E. (2009). Vegetation heterogeneity in monte desert ecosystems: A multi-scale approach linking patterns and processes. Journal of Arid Environment, 73(2), 182–191. https://doi.org/10.1016/j.jaridenv.2008.09.001
5. Bradley, B. A., Olsson, A. D., Wang, O., Dickson, B. G., Pelech, L., Sesnie, S. E., & Zachmann, L. J. (2012). Species detection vs. habitat suitability: Are we biasing habitat suitability models with remotely sensed data? Ecological Modelling, 244, 57–64. https://doi.org/10.1016/j.ecolmodel.2012.06.019
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