Enhanced contextual forest fire detection with prediction interval analysis of surface temperature using vegetation amount

References

• Cheng, D., J. Rogan, L. Schneider, and M. Cochrane. 2013. “Evaluating MODIS Active Fire Products in Subtropical Yucatan Forest.” Remote Sensing Letters 4: 455–464. doi:10.1080/2150704X.2012.749360.
   Web of Science ®Google Scholar
• Flasse, S. P., and P. Ceccato. 1996. “A Contextual Algorithm for AVHRR Fire Detection.” International Journal of Remote Sensing 17: 419–424. doi:10.1080/01431169608949018.
   Web of Science ®Google Scholar
• Friedl, M. A., and F. W. Daves. 1994. “Sources of Variation in Radiometric Surface Temperature over a Tallgrass Prairie.” Remote Sensing of Environment 48: 1–17. doi:10.1016/0034-4257(94)90109-0.
   Web of Science ®Google Scholar
• Giglio, L., J. Descloitresa, C. O. Justicec, and Y. J. Kaufman. 2003. “An Enhanced Contextual Fire Detection Algorithm for MODIS.” Remote Sensing of Environment 87: 273–282. doi:10.1016/S0034-4257(03)00184-6.
   Web of Science ®Google Scholar
• Giglio, L., J. D. Kendall, and C. O. Justice. 1999. “Evaluation of Global Fires Detection Algorithms Using Simulated AVHRR Infrared Data.” International Journal of Remote Sensing 20: 1947–1985. doi:10.1080/014311699212290.
   Web of Science ®Google Scholar
• Giglio, L., W. Schroeder, and C. O. Justice. 2016. “The Collection 6 MODIS Active Fire Detection Algorithm and Fire Products.” Remote Sensing of Environment 178: 31–41. doi:10.1016/j.rse.2016.02.054.
   PubMed Web of Science ®Google Scholar
• Goward, S. N., G. D. Cruickshanks, and A. S. Hope. 1985. “Observed Relation between Thermal Emission and Reflected Spectral Radiance of a Complex Vegetated Landscape.” Remote Sensing of Environment 18: 137–146. doi:10.1016/0034-4257(85)90044-6.
   Web of Science ®Google Scholar
• Hantson, S., M. Padilla, D. Corti, and E. Chuvieco. 2013. “Strengths and Weaknesses of MODIS Hotspots to Characterize Global Fire Occurrence.” Remote Sensing of Environment 131: 152–159. doi:10.1016/j.rse.2012.12.004.
   Web of Science ®Google Scholar
• Hassini, A., F. Banabdelouahed, N. Benabadji, and A. H. Belvachir. 2009. “Active Fire Monitoring with Level 1.5 MSG Satellite Images.” American Journal of Applied Science 6: 157–166. doi:10.3844/ajassp.2009.157.166.
   Google Scholar
• Hope, A. S., and T. P. McDowell. 1992. “The Relationship between Surface Temperature and a Spectral Vegetation Index of a Tallgrass Prairie: Effects of Burning and Other Landscape Controls.” International Journal of Remote Sensing 13: 2849–2863. doi:10.1080/01431169208904086.
   Web of Science ®Google Scholar
• Kim, G., D. Kim, K. Park, J. Cho, K. Han, and Y. Lee. 2014. “Detecting Wildfires with the Korean Geostationary Meteorological Satellite.” Remote Sensing Letters 5: 19–26. doi:10.1080/2150704X.2013.862602.
   Web of Science ®Google Scholar
• Lambin, E. F., and D. Ehrlich. 1996. “The Surface Temperature-Vegetation Index Space for Land Cover and Land-Cover Change Analysis.” International Journal of Remote Sensing 17: 463–487. doi:10.1080/01431169608949021.
   Web of Science ®Google Scholar
• Li, X., W. Song, L. Lian, and X. Wei. 2015. “Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data.” Remote Sensing 7: 4473–4498. doi:10.3390/rs70404473.
   Web of Science ®Google Scholar
• Li, Z., Y. J. Kaufman, C. Ichoku, R. Fraser, A. Trishchenko, L. Giglio, J. Jin, and X. Yu. 2001. “A Review of AVHRR-Based Active Fire Detection Algorithms: Principles, Limitations, and Recommandations.” In Global and Regional Vegetation Fire Monitoring from Space: Planning a Coordinated International Effort, Eds. F. J. Ahern, J. G. Goldammer, and C. O. Justice, 199–226. Hague, Netherlands: SPB Academic Publiching vb.
   Google Scholar
• Li, Z., S. Nadon, and J. Cihlar. 2000. “Setellite-Based Detection of Canadian Boreal Forest Fires: Development and Application of the Algorithm.” International Journal of Remote Sensing 21: 3057–3069. doi:10.1080/01431160050144956.
   Web of Science ®Google Scholar
• Maier, S., J. Russell-Smith, A. Edwards, and C. Yates. 2013. “Sensitivity of the MODIS Fire Detection Algorithm (MOD14) in the Savanna Region of the Northern Territory, Australia.” ISPRS Journal of Photogrammetry and Remote Sensing 76: 11–16. doi:10.1016/j.isprsjprs.2012.11.005.
   Web of Science ®Google Scholar
• Manyangadze, T. 2009. Forest fire detection for near real-time monitoring using geostationary satellites. Msc Thesis, International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands.
   Google Scholar
• Montgomery, D. C., A. E. Peck, and G. C. Vining. 2001. Introduction to Linear Regression Analysis, 101–109. 3rd ed. New York, USA: John Wiley & Sons, Inc.
   Google Scholar
• Peng, W., J. Zhou, L. Wen, S. Xue, and L. Dong. 2016. “Land Surface Temperature and Its Impact Factors in Western Sichuan Plateau, China.” Geocarto International 1–16. doi:10.1080/10106049.2016.1188167.
   Web of Science ®Google Scholar
• Razali, N. M., and Y. B. Wah. 2011. “Power Comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling Tests.” Journal of Statistical Modeling and Analytics 2: 21–33.
   Google Scholar
• Schroeder, W., E. Prins, L. Giglio, I. Csiszar, C. Schimdt, and J. Morisette. 2008. “Validation of GOES and MODIS Active Fire Detection Products Using ASTER and ETM+ Data.” Remote Sensing of Environment 112: 2711−2726. doi:10.1016/j.rse.2008.01.005.
   Web of Science ®Google Scholar
• Seto, K. C., and W. Liu. 2003. “Comparing ARTMAP Neural Network with the Maximum-Likelihood Classifier for Detecting Urban Change.” Photogrammetric Engineering & Remote Sensing 69: 981–990. doi:10.14358/PERS.69.9.981.
   Web of Science ®Google Scholar
• Wang, S., L. Miao, and G. Peng. 2012. “An Improved Algorithm for Forest Fire Detection Using HJ Data.” Procedia Environmental Sciences 13: 140–150. doi:10.1016/j.proenv.2012.01.014.
   Google Scholar
• Wang, W., J. Qu, X. Hao, and Y. Liu. 2009. “Analysis of the Moderate Resolution Imaging Spectroradiometer Contextual Algorithm for Small Fire Detection.” Journal of Applied Remote Sensing 3: 031502. doi:10.1117/1.3078426.
   Web of Science ®Google Scholar
• Wang, W., J. J. Qu, X. Hao, Y. Liu, and W. T. Sommers. 2007. “An Improved Algorithm for Small and Cool Fire Detection Using MODIS Data: A Preliminary Study in the Southeastern United States.” Remote Sensing of Environment 108: 163–170. doi:10.1016/j.rse.2006.11.009.
   Web of Science ®Google Scholar
• Weng, Q., D. Lu, and J. Schubring. 2004. “Estimation of Land Surface Temperature-Vegetation Abundance Relationship for Urban Heat Island Studies.” Remote Sensing of Environment 89: 467–483. doi:10.1016/j.rse.2003.11.005.
   Web of Science ®Google Scholar
• Whitehead, V. S., W. R. Johnson, and J. A. Boatright. 1986. “Vegetation Assessment Using a Combination of Visible, Near-Ir and Thermal-Ir AVHRR Data.” IEEE Transactions in Geoscience and Remote Sensing GE-24: 107–112. doi:10.1109/TGRS.1986.289691.
   Web of Science ®Google Scholar
• Xu, W., M. J. Wooster, G. Roberts, and P. Freeborn. 2010. “New GOES Imager Algorithms for Cloud and Active Fire Detection and Fire Radiative Power Assessment across North, South and Central America.” Remote Sensing of Environment 114: 1876–1895. doi:10.1016/j.rse.2010.03.012.
   Web of Science ®Google Scholar
• Yan, X., and X. G. Su. 2009. Linear Regression Analysis: Theory and Computing, 69–70. New Jersey, USA: World Scientific Publishing Co.
   Google Scholar
• Yuan, F., and M. Bauer. 2007. “Comparison of Impervious Surface Area and Normalized Difference Vegetation Index as Indicators of Surface Urban Heat Island Effects in Landsat Imagery.” Remote Sensing of Environment 106: 375–386. doi:10.1016/j.rse.2006.09.003.
   Web of Science ®Google Scholar