Highlights • Normalized Difference Moisture Index is a good predictor of vegetation integrity. • Spectral traits from Sentinel and Landsat satellite images are good predictors of vegetation traits in Atlantic Forest. • For small areas in Cerrado, spectral traits need to be derived preferentially from Sentinel satellite images. • The spectral traits power prediction is associated with habitat types, being lower in savanna and open savanna areas.
Silveira Dos Santos, J., Rocha-Santos, L., Dodonov, P., Collevatti, R.G., Soares Ney, V.H., Conciani, D., et al. (2026). Remote sensing data facilitate large-scale monitoring of natural vegetation integrity in Brazilian biomes. REMOTE SENSING APPLICATIONS, 41(101821), 1-13 [10.1016/j.rsase.2025.101821].
Remote sensing data facilitate large-scale monitoring of natural vegetation integrity in Brazilian biomes
Rocchini, Duccio
2026
Abstract
Highlights • Normalized Difference Moisture Index is a good predictor of vegetation integrity. • Spectral traits from Sentinel and Landsat satellite images are good predictors of vegetation traits in Atlantic Forest. • For small areas in Cerrado, spectral traits need to be derived preferentially from Sentinel satellite images. • The spectral traits power prediction is associated with habitat types, being lower in savanna and open savanna areas.| File | Dimensione | Formato | |
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Santos_etal_Final_2025_11_28d.pdf
embargo fino al 08/12/2026
Tipo:
Postprint / Author's Accepted Manuscript (AAM) - versione accettata per la pubblicazione dopo la peer-review
Licenza:
Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale - Non opere derivate (CCBYNCND)
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1.4 MB
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Adobe PDF
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1.4 MB | Adobe PDF | Visualizza/Apri Contatta l'autore |
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