APA (7th ed.) Citation

De Luca, G., Silva, J. M., & Modica, G. (2021). A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems. GIScience and remote sensing, 58(4), 516-541. https://doi.org/10.1080/15481603.2021.1907896

Chicago Style (17th ed.) Citation

De Luca, Giandomenico, João M.N Silva, and Giuseppe Modica. "A Workflow Based on Sentinel-1 SAR Data and Open-source Algorithms for Unsupervised Burned Area Detection in Mediterranean Ecosystems." GIScience and Remote Sensing 58, no. 4 (2021): 516-541. https://doi.org/10.1080/15481603.2021.1907896.

MLA (9th ed.) Citation

De Luca, Giandomenico, et al. "A Workflow Based on Sentinel-1 SAR Data and Open-source Algorithms for Unsupervised Burned Area Detection in Mediterranean Ecosystems." GIScience and Remote Sensing, vol. 58, no. 4, 2021, pp. 516-541, https://doi.org/10.1080/15481603.2021.1907896.