Citations (4)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (4)
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.
Read now
Read now
Kyungil Lee, Byeongcheol Kim & Seonyoung Park. (2023) Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches. GIScience & Remote Sensing 60:1.
Read now
Read now
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.
Read now
Read now
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.
Read now
Read now