Comparison of spectral indices extracted from Sentinel-2 images to map plastic covered greenhouses through an object-based approach
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URI: http://hdl.handle.net/10835/14776
DOI: https://doi.org/10.1080/15481603.2022.2071057
DOI: https://doi.org/10.1080/15481603.2022.2071057
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Aguilar Torres, Manuel Ángel; Ladisa, Claudio; Aguilar Torres, Fernando José; Tarantino, Eufemia; Jiménez Lao, RafaelFecha
2022-05-06Resumen
One of the most important challenges of agriculture today is increasing its productivity gains, while controlling its environmental footprint. Because of that plastic covered greenhouses (PCG) mapping via remote sensing is receiving a great attention throughout this century. In this study, a fair
comparison was carried out in four PCG study areas around the world to test 14 spectral indices mainly focused on the detection of plastic. To the best knowledge of the authors, this is the first research that fairly compares all these spectral indices in such variable number of study sites. The
applied OBIA approach was based on the combined use of very high-resolution satellite data (Deimos-2 pansharpened images) to address the segmentation process and Sentinel-2 time series to compute the spectral indices. When dealing with Sentinel-2 single images, the Plastic
GreenHouse Index (PGHI) stood out among all the indices tested in the study areas dedicated to the cultivation of vegetables, su...