LandTrendr smoothed spectral profiles enhance woody encroachment monitoring

Secondary succession (SS) is one of the main consequences of the abandonment of agricultural and forestry practices in rural areas, causing -among other processes- woody encroachment on former pastures and croplands. In this study we model and monitor the spatial evolution of SS over semi-natural gr...

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Autores: Gelabert P.J., Rodrigues M., de la Riva J., Ameztegui A., Sebastià M.T., Vega-Garcia C.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de Zaragoza
Repositorio:Zaguán. Repositorio Digital de la Universidad de Zaragoza
OAI Identifier:oai:zaguan.unizar.es:121086
Acceso en línea:http://zaguan.unizar.es/record/121086
Access Level:acceso abierto
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spelling LandTrendr smoothed spectral profiles enhance woody encroachment monitoringGelabert P.J.Rodrigues M.de la Riva J.Ameztegui A.Sebastià M.T.Vega-Garcia C.Secondary succession (SS) is one of the main consequences of the abandonment of agricultural and forestry practices in rural areas, causing -among other processes- woody encroachment on former pastures and croplands. In this study we model and monitor the spatial evolution of SS over semi-natural grassland communities in the mountain range of the Pyrenees in Spain, during the last 36 years (1984-2019). Independent variables for ‘annual-based’ and ‘period-based’ modeling were drawn from a suite of Surface Reflectance Landsat images, LandTrendr (LT)-algorithm-adjusted images and LT outputs. Support vector machine (SVM) classifiers were trained and tested using all possible variable combinations of all the aforementioned datasets. The best modeling strategy involved yearly time series of LT-adjusted Tasseled Cap Brightness (TCB) and Wetness (TCW) axes as predictors, attaining a F1-score of 0.85, a Matthew Correlation Coefficient (MCC) of 0.67 and an AUC 0.83. Woodlands encroached above 480, 000 ha of grasslands and crops during the study period. A model using LT outputs for the whole period also denoted good performance (F1-score = 0.85, MCC = 0.75) and estimated a similar area of woodland expansion (~509, 000 ha), but this ‘period’ approach was unable to provide temporal information on the year or the encroachment dynamics. Our results suggest an overall proportion of 66% for the Pyrenees being affected by SS, with higher intensity in the west-central part, decreasing towards the eastern end. © 2021 The Authors2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://zaguan.unizar.es/record/121086reponame:Zaguán. Repositorio Digital de la Universidad de Zaragozainstname:Universidad de ZaragozaInglésinfo:eu-repo/grantAgreement/ES/FECYT/IMAGINE CGL2016-80400-Rinfo:eu-repo/semantics/openAccessoai:zaguan.unizar.es:1210862026-05-29T13:59:51Z
dc.title.none.fl_str_mv LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
title LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
spellingShingle LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
Gelabert P.J.
title_short LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
title_full LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
title_fullStr LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
title_full_unstemmed LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
title_sort LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
dc.creator.none.fl_str_mv Gelabert P.J.
Rodrigues M.
de la Riva J.
Ameztegui A.
Sebastià M.T.
Vega-Garcia C.
author Gelabert P.J.
author_facet Gelabert P.J.
Rodrigues M.
de la Riva J.
Ameztegui A.
Sebastià M.T.
Vega-Garcia C.
author_role author
author2 Rodrigues M.
de la Riva J.
Ameztegui A.
Sebastià M.T.
Vega-Garcia C.
author2_role author
author
author
author
author
description Secondary succession (SS) is one of the main consequences of the abandonment of agricultural and forestry practices in rural areas, causing -among other processes- woody encroachment on former pastures and croplands. In this study we model and monitor the spatial evolution of SS over semi-natural grassland communities in the mountain range of the Pyrenees in Spain, during the last 36 years (1984-2019). Independent variables for ‘annual-based’ and ‘period-based’ modeling were drawn from a suite of Surface Reflectance Landsat images, LandTrendr (LT)-algorithm-adjusted images and LT outputs. Support vector machine (SVM) classifiers were trained and tested using all possible variable combinations of all the aforementioned datasets. The best modeling strategy involved yearly time series of LT-adjusted Tasseled Cap Brightness (TCB) and Wetness (TCW) axes as predictors, attaining a F1-score of 0.85, a Matthew Correlation Coefficient (MCC) of 0.67 and an AUC 0.83. Woodlands encroached above 480, 000 ha of grasslands and crops during the study period. A model using LT outputs for the whole period also denoted good performance (F1-score = 0.85, MCC = 0.75) and estimated a similar area of woodland expansion (~509, 000 ha), but this ‘period’ approach was unable to provide temporal information on the year or the encroachment dynamics. Our results suggest an overall proportion of 66% for the Pyrenees being affected by SS, with higher intensity in the west-central part, decreasing towards the eastern end. © 2021 The Authors
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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url http://zaguan.unizar.es/record/121086
dc.language.none.fl_str_mv Inglés
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dc.source.none.fl_str_mv reponame:Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname:Universidad de Zaragoza
instname_str Universidad de Zaragoza
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