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Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas

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Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas

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Morell-Monzó, S.; Estornell Cremades, J.; Sebastiá-Frasquet, M. (2020). Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas. Remote Sensing. 12(12):1-18. https://doi.org/10.3390/rs12122062

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166852

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Title: Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas
Author: Morell-Monzó, Sergio Estornell Cremades, Javier Sebastiá-Frasquet, M.-T.
UPV Unit: Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
[EN] Agricultural land abandonment is an important environmental issue in Europe. The proper management of agricultural areas has important implications for ecosystem services (food production, biodiversity, climate ...[+]
Subjects: Citrus , Land abandonment , High-resolution imagery , Sentinel-2 , Image classification , Random Forests algorithm , Machine learning algorithms
Copyrigths: Reconocimiento (by)
Source:
Remote Sensing. (issn: 2072-4292 )
DOI: 10.3390/rs12122062
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/rs12122062
Type: Artículo

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