Copyright licence

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Year of publication 2025

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Place of publication Rome, Italy ; Geneva, Switzerland ;

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Pages 51 p.

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Author Sabzchi-Dehkharghani, H.; Ghosh, A.; Puteri, S.H.; Salibi, A.; Abou Jaoude, L.; Choueiri, E.; Cuvelier, J.; Palmkron, K.; Fiol, M.; Henry, M.;

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Publisher FAO ; United Nations Institute for Training and Research (UNITAR) ;

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Product type Book (stand-alone)

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Category Technical study

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ISBN 978-92-5-139830-2

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To cite or share https://doi.org/10.4060/cd5364en

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Synopsis (short abstract) Lebanon is facing a growing risk of food insecurity due to the conflict that began in October 2023, which threatens the country's agricultural land and assets. This geospatial assessment aims to analyse changes in agricultural land during the baseline period from October 2019 to 7 October 2023, in comparison with October 2024. A land cover map for 2023 was generated using Sentinel-2 imagery (10 m resolution). To assess vegetation loss, Normalized Difference Vegetation Index (NDVI) values for October 2024, derived from Landsat 7 and 8 (30 m resolution), were compared with the baseline NDVI. Areas with significant negative deviations in NDVI were identified by initially comparing the average NDVI for October 2024 with the baseline average and standard deviation. High-resolution imagery (VHR) was then used to classify and confirm land cover changes in regions showing notable vegetation loss.

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Cite this content as:

https://doi.org/10.4060/cd5364en

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Language English

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