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

P. 1-19 Artículo

Detalles Bibliográficos
Autores: Fernández García, Víctor, Marcos Porras, Elena María, Fernández Guisuraga, José Manuel, Fernández Manso, Alfonso, Quintano Pastor, Carmen, Suárez-Seoane, Susana, Calvo Galván, María Leonor
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/13116
Acceso en línea:https://www.mdpi.com/2072-4292/13/5/979
http://hdl.handle.net/10612/13116
https://doi.org/10.3390/rs13050979
Access Level:acceso abierto
Palabra clave:Biología
Ecología. Medio ambiente
Ingeniería forestal
Multiple Endmember Spectral Mixture Analysis (MESMA)
Landsat
Iberian Peninsula
Spectral unmixing
Alpha diversity
Beta diversity
Gamma diversity
Delta diversity
Epsilon diversity
2417.13 Ecología Vegetal
2499 Otras Especialidades Biológicas
3199 Otras Especialidades Agrarias
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network_name_str España
repository_id_str
spelling Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian MountainsFernández García, VíctorMarcos Porras, Elena MaríaFernández Guisuraga, José ManuelFernández Manso, AlfonsoQuintano Pastor, CarmenSuárez-Seoane, SusanaCalvo Galván, María LeonorBiologíaEcología. Medio ambienteIngeniería forestalMultiple Endmember Spectral Mixture Analysis (MESMA)LandsatIberian PeninsulaSpectral unmixingAlpha diversityBeta diversityGamma diversityDelta diversityEpsilon diversity2417.13 Ecología Vegetal2499 Otras Especialidades Biológicas3199 Otras Especialidades AgrariasP. 1-19 ArtículoHeterogeneous 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 traditional methods of land cover classification because they allow to decompose the spectral signature of a mixed pixel into several endmembers and their respective abundances. In this work, we present the application of Multiple Endmember Spectral Mixture Analysis (MESMA) to quantify habitat diversity and assess the compositional turnover at different spatial scales in the fine-grained landscapes of the Cantabrian Mountains (northwestern Iberian Peninsula). A Landsat-8 OLI scene and high-resolution orthophotographs (25 cm) were used to build a region-specific spectral library of the main types of habitats in this region (arboreal vegetation; shrubby vegetation; herbaceous vegetation; rocks–soil and water bodies). We optimized the spectral library with the Iterative Endmember Selection (IES) method and we applied MESMA to unmix the Landsat scene into five fraction images representing the five defined habitats (root mean square error, RMSE 0.025 in 99.45% of the pixels). The fraction images were validated by linear regressions using 250 reference plots from the orthophotographs and then used to calculate habitat diversity at the pixel ( -diversity: 30 30 m), landscape (-diversity: 1 1 km) and regional ("-diversity: 110 33 km) scales and thecompositional turnover ( - and -diversity) according to Simpson’s diversity index. Richness and evenness were also computed. Results showed that fraction images were highly related to reference data (R2 0.73 and RMSE 0.18). In general, our findings indicated that habitat diversity was highly dependent on the spatial scale, with values for the Simpson index ranging from 0.20 0.22 for -diversity to 0.60 0.09 for -diversity and 0.72 0.11 for "-diversity. Accordingly, we found -diversity to be higher than -diversity. This work contributes to advance in the estimation of ecological diversity in complex landscapes, showing the potential of MESMA to quantify habitat diversity in a comprehensive way using Landsat imagerySIMDPIEcologiaFacultad de Ciencias Biologicas y Ambientales2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.mdpi.com/2072-4292/13/5/979http://hdl.handle.net/10612/13116https://doi.org/10.3390/rs13050979reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/131162026-06-24T12:43:27Z
dc.title.none.fl_str_mv Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
title Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
spellingShingle Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
Fernández García, Víctor
Biología
Ecología. Medio ambiente
Ingeniería forestal
Multiple Endmember Spectral Mixture Analysis (MESMA)
Landsat
Iberian Peninsula
Spectral unmixing
Alpha diversity
Beta diversity
Gamma diversity
Delta diversity
Epsilon diversity
2417.13 Ecología Vegetal
2499 Otras Especialidades Biológicas
3199 Otras Especialidades Agrarias
title_short Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
title_full Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
title_fullStr Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
title_full_unstemmed Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
title_sort Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains
dc.creator.none.fl_str_mv Fernández García, Víctor
Marcos Porras, Elena María
Fernández Guisuraga, José Manuel
Fernández Manso, Alfonso
Quintano Pastor, Carmen
Suárez-Seoane, Susana
Calvo Galván, María Leonor
author Fernández García, Víctor
author_facet Fernández García, Víctor
Marcos Porras, Elena María
Fernández Guisuraga, José Manuel
Fernández Manso, Alfonso
Quintano Pastor, Carmen
Suárez-Seoane, Susana
Calvo Galván, María Leonor
author_role author
author2 Marcos Porras, Elena María
Fernández Guisuraga, José Manuel
Fernández Manso, Alfonso
Quintano Pastor, Carmen
Suárez-Seoane, Susana
Calvo Galván, María Leonor
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ecologia
Facultad de Ciencias Biologicas y Ambientales
dc.subject.none.fl_str_mv Biología
Ecología. Medio ambiente
Ingeniería forestal
Multiple Endmember Spectral Mixture Analysis (MESMA)
Landsat
Iberian Peninsula
Spectral unmixing
Alpha diversity
Beta diversity
Gamma diversity
Delta diversity
Epsilon diversity
2417.13 Ecología Vegetal
2499 Otras Especialidades Biológicas
3199 Otras Especialidades Agrarias
topic Biología
Ecología. Medio ambiente
Ingeniería forestal
Multiple Endmember Spectral Mixture Analysis (MESMA)
Landsat
Iberian Peninsula
Spectral unmixing
Alpha diversity
Beta diversity
Gamma diversity
Delta diversity
Epsilon diversity
2417.13 Ecología Vegetal
2499 Otras Especialidades Biológicas
3199 Otras Especialidades Agrarias
description P. 1-19 Artículo
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.mdpi.com/2072-4292/13/5/979
http://hdl.handle.net/10612/13116
https://doi.org/10.3390/rs13050979
url https://www.mdpi.com/2072-4292/13/5/979
http://hdl.handle.net/10612/13116
https://doi.org/10.3390/rs13050979
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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