Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains

Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains

Heterogeneous and patchy landscapes where vegetation and abiotic factors vary at small spatial scale (fine-grained landscapes) represent a challenge for habitat diversity mapping using remote sensing imagery. In this context, techniques of spectral mixture analysis may have an advantage over traditi...

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Bibliographic Details
Main Authors: Víctor Fernández-García, Elena Marcos, José Manuel Fernández-Guisuraga, Alfonso Fernández-Manso, Carmen Quintano, Susana Suárez-Seoane, Leonor Calvo
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
spectral unmixing
Landsat
Iberian Peninsula
alpha diversity
beta diversity
gamma diversity
Online Access:https://www.mdpi.com/2072-4292/13/5/979

Internet

https://www.mdpi.com/2072-4292/13/5/979

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