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For: Gajardo J, Mora M, Valdés-nicolao G, Carrasco-benavides M. Burned Area Classification Based on Extreme Learning Machine and Sentinel-2 Images. Applied Sciences 2022;12:9. [DOI: 10.3390/app12010009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Number Cited by Other Article(s)
1
Development of a Novel Burned-Area Subpixel Mapping (BASM) Workflow for Fire Scar Detection at Subpixel Level. REMOTE SENSING 2022. [DOI: 10.3390/rs14153546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
2
Afira N, Wijayanto AW. Mono-temporal and multi-temporal approaches for burnt area detection using Sentinel-2 satellite imagery (a case study of Rokan Hilir Regency, Indonesia). ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2022.101677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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