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Classification of peatland vegetation types using in situ hyperspectral measurements.

, , , and . IGARSS, page 5713-5716. IEEE, (2017)

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Inductive pattern-based land use/cover change models: A comparison of four software packages., , , , and . Environ. Model. Softw., (2014)Graph-Based Approach to Improve Individual Tree Crown Delineation in Temperate Forest using Structural And Spectral Information., , , , , and . IGARSS, page 3460-3463. IEEE, (2021)Estimation and monitoring of bare soil/vegetation ratio with SPOT VEGETATION and HRVIR., , , and . IGARSS, page 3248-3250. IEEE, (2003)SLEUTH* : un modèle d'expansion urbaine scénario-dépendant., , and . Revue Internationale de Géomatique, 26 (1): 7-32 (2016)Classification of peatland vegetation types using in situ hyperspectral measurements., , , and . IGARSS, page 5713-5716. IEEE, (2017)Land change modelling: moving beyond projections., , , , and . Int. J. Geogr. Inf. Sci., 27 (9): 1691-1695 (2013)Evaluation of Dimensional Reduction Methods on Urban Vegegation Classification Performance Using Hyperspectral Data., , , , , and . IGARSS, page 1636-1639. IEEE, (2018)Improving the classification of urban tree diversity from Very High Spatial Resolution hyperspectral images: comparison of multiples techniques., , and . JURSE, page 1-4. IEEE, (2019)