A Comprehensive Benchmarking of the Available Spectral Indices Based on Sentinel-2 for Large-Scale Mapping of Plastic-Covered Greenhouses
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Senel, Gizem; Aguilar Torres, Manuel Ángel; Aguilar Torres, Fernando José; Nemmaoui, Abderrahim; Goksel, CigdemFecha
2023-07-12Resumen
Plastic-covered greenhouses (PCG) have been extensively used in agricultural practices around the world. Remote
sensing based on spectral indices is a key asset tomonitor the spatial distribution of these structures on a large scale. The primary objective of this research was to conduct a comprehensive benchmarking of the available spectral indices based on Sentinel-2 data for largescale PCG mapping. For that, eight PCG indices were thoroughly analyzed by systematically investigating their optimal thresholds
in five study sites located in Almería (Spain), Antalya (Turkey), Agadir (Morocco), Weifang (China), and Nantong (China), including
also different growing seasons. The experimental results demonstrated that the Plastic GreenHouse Index (PGHI) achieved
the best PCG mapping accuracy in almost all study sites and growing seasons tested. Fromthe visual analysis carried out on thePGHI
mapping results, it was made out that the main misclassification between PCG and background classe...
Palabra/s clave
Greenhouse mapping
Large-scale mapping
Plastic-covered greenhouses (PCG)
Sentinel-2 (S2), spectral indices