121086 20230519145544.0 doi 10.1016/j.rse.2021.112521 sideral 127060 ART-2021-127060 eng Gelabert P.J. LandTrendr smoothed spectral profiles enhance woody encroachment monitoring 2021 Access copy available to the general public Unrestricted 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 info:eu-repo/grantAgreement/ES/FECYT/IMAGINE CGL2016-80400-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 13.85 2021 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 2 / 28 = 0.071 2021 Q1 T1 REMOTE SENSING 2 / 34 = 0.059 2021 Q1 T1 ENVIRONMENTAL SCIENCES 10 / 279 = 0.036 2021 Q1 T1 3.862 2021 Geology 2021 Q1 Computers in Earth Sciences 2021 Q1 20.7 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Rodrigues M. Universidad de Zaragoza (orcid)0000-0002-0477-0796 de la Riva J. Universidad de Zaragoza (orcid)0000-0003-2615-270X Ameztegui A. Sebastià M.T. Vega-Garcia C. 3006 010 Universidad de Zaragoza Dpto. Geograf. Ordenac.Territ. Área Análisis Geográfico Regi. 262 (2021), 112521 [10 pp] Remote sens. environ. Remote Sensing of Environment 0034-4257 3261679 http://zaguan.unizar.es/record/121086/files/texto_completo.pdf Versión publicada 2467819 http://zaguan.unizar.es/record/121086/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:121086 articulos driver 2023-05-18-15:42:59 ARTICLE