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Research Article

Regional-scale burned area mapping in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data

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Pages 1678-1705 | Received 01 Mar 2022, Accepted 13 Sep 2022, Published online: 30 Sep 2022

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Aqil Tariq, Yan Jiango, Linlin Lu, Ahsan Jamil, Ibrahim Al-ashkar, Muhammad Kamran & Ayman El Sabagh. (2023) Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for burnt and unburnt scars. Geomatics, Natural Hazards and Risk 14:1.
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Giandomenico De Luca, Giuseppe Modica, João M. N. Silva, Salvatore Praticò & José M.C. Pereira. (2023) Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery. International Journal of Digital Earth 16:1, pages 3162-3198.
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Yoojin Kang, Eunna Jang, Jungho Im & Chungeun Kwon. (2022) A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency. GIScience & Remote Sensing 59:1, pages 2019-2035.
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