Parameter Estimation for the Forest Fire Propagation Model

[1] AMBROZ, M.—BALAŽOVJECH, M.—MEDL’A, M.—MIKULA, K.: Numerical modeling of wildland surface fire propagation by evolving surface curves, Adv. Comput. Math., 45 (2019), no. 2, 1067–1103.Search in Google Scholar

[2] CIPOLLA, R.: Structure from motion, 2008. Available online at: http://mi.eng.cam.ac.uk/$\sim$cipolla/publications/contributionToEditedBook/2008-SFM-chapters.pdfSearch in Google Scholar

[3] KRIVÁ, Z.—MIKULA, K.—PEYRIÉRAS, N.—RIZZI, B.—SARTI, A.—STAŠOVÁ, O.: 3D early embryogenesis image filtering by nonlinear partial differential equations.Medical image analysis 14 (2010), no. 4, 510–526Search in Google Scholar

[4] MIKULA, K.—ŠEVČOVIČ, D.: Evolution of plane curves driven by a nonlinear function of curvature and anisotropy, SIAM J. Appl. Math. 61 (2001), no. 5, 1473–1501Search in Google Scholar

[5] MIKULA, K.—ŠEVČOVIČ, D.: Computational and qualitative aspects of evolution of curves driven by curvature and external force, Computing and Visualization in Science 6 (2004), no. 4, 211–225Search in Google Scholar

[6] MIKULA, K.—ŠEVČOVIČ, D.: A direct method for solving an anisotropic mean curvature flow of plane curves with an external force. Math. Methods in Appl. Sci. 27 (2004) (13), 1545–1565.10.1002/mma.514Search in Google Scholar

[7] MIKULA, K.—URBAN, J.—KOLLÁR, M.—AMBROZ, M.—JAROLÍMEK, I.—ŠIBÍK, J.—ŠIBÍKOVÁ, M.: An automated segmentation of NATURA 2000 habitats from Sentinel-2 optical data, Discrete and Continuous Dynamical Systems Series S (accepted).Search in Google Scholar

[8] MIKULA, K.—URBAN, J.—KOLLÁR, M.—AMBROZ, M.—JAROLÍMEK, I.— ŠIBÍK, J.—ŠIBÍKOVÁ, M.: Semi-automatic segmentation of NATURA 2000 habitats in Sentinel-2 satellite images by evolving open curves, Discrete and Continuous Dynamical Systems Series S (accepted).Search in Google Scholar

[9] PRICHARD, S. J.—SANDBERG, D. V.—OTTMAR, R. D.—EBERHARDT, E.— ANDREU, A.—EAGLE, P.—SWEDIN, K.: Fuel characteristic classification system version 3.0: Technical documaentation.In:General Technical Report (GTR), Gen. Tech. Rep. PNW-GTR-887. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 79 p. DOI: https://doi.org/10.2737/PNW-GTR-88710.2737/PNW-GTR-887Search in Google Scholar

[10] SEDINA, J.—HŮLKOVA, M.—PAVELKA, K.—PAVELKA, K. JR.: RPAS for documentation of Nazca aqueducts, European Journal of Remote Sensing, 52, 174–181. (Supplement: 1 Special Issue: SI, DOI:10.1080/22797254.2018.1537684, 2019.)10.1080/22797254.2018.1537684Search in Google Scholar

[11] VIEGAS, D., ET AL.: Slope and wind effects on fire spread.In:IVth International Forest Fire Conference. Coimbra (Portugal). FFR & Wildland Fire Safety, Millpress, Rotterdam, 2002.Search in Google Scholar

[12] WALKER, S.—ALSPAUGH, D.: A Brief History of Photogrammetry. Manual of Photogrammetry, 6th edition. ASPRS, Bethesda, Maryland, 2013.Search in Google Scholar

[13] ZHANG, J. W.—HAN, G. Q.—WO, Y.: Image registration based on generalized and mean Hausdorff distances, Machine Learning and Cybernetics, 2005. In: Machine Learning and Cybernetics Vol. 8, IEEE Xplore, 2005. pp. 5117–5121.Search in Google Scholar