• Journal of Infrared and Millimeter Waves
  • Vol. 35, Issue 5, 600 (2016)
HE Yang1、2、*, YANG Jin1, MA Yong1, LIU Jian-Bo1, CHEN Fu1, LI Xin-Peng1, and YANG Yi-Fei1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.11972/j.issn.1001-9014.2016.05.015 Cite this Article
    HE Yang, YANG Jin, MA Yong, LIU Jian-Bo, CHEN Fu, LI Xin-Peng, YANG Yi-Fei. A method for fire detection using Landsat 8 data[J]. Journal of Infrared and Millimeter Waves, 2016, 35(5): 600 Copy Citation Text show less
    References

    [1] Hua H B, Fu C L, Hua T J, et al. A contextual fire detection algorithm based on observation geometry for HJ-1B-IRS[J]. Journal of Infrared & Millimeter Waves, 2011, 30(2):104-108.

    [2] Boschetti L, Roy D P, Justice C O, et al. MODIS–Landsat fusion for large area 30 m burned area mapping[J]. Remote Sensing of Environment, 2015, 161:27-42.

    [3] Mouillot F, Schultz M G, Yue C, et al. Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments[J]. International Journal of Applied Earth Observation and Geoinformation, 2014, 26:64-79.

    [4] Kaufman Y J, Justice C O, Flynn L P, et al. Potential global fire monitoring from EOS-MODIS[J]. Journal of Geophysical Research: Atmospheres (1984-2012), 1998, 103(D24): 32215-32238.

    [5] Justice C, Giglio L, Korontzi S, et al. The MODIS fire products[J]. Remote Sensing of Environment, 2002, 83(1):244-262.

    [6] Fraser R, Li Z, Cihlar J. Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest[J]. Remote Sensing of Environment, 2000, 74(3):362-376.

    [7] Li Y, Vodacek A,et al. A hybrid contextual approach to wildland fire detection using multispectral imagery[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2005, 43(9):2115-2126.

    [8] Giglio L, Descloitres J, Justice C O, et al. An enhanced contextual fire detection algorithm for MODIS[J]. Remote sensing of environment, 2003, 87(2):273-282.

    [9] Wang W, Qu J J, Hao X, et al. An improved algorithm for small and cool fire detection using MODIS data: A preliminary study in the southeastern United States[J]. Remote sensing of Environment, 2007,108(2): 163-170.

    [10] Koltunov A, Ustin S. Early fire detection using non-linear multitemporal prediction of thermal imagery[J]. Remote Sensing of Environment, 2007, 110(1):18-28.

    [11] Zhu Y J, Xing L X, Pan J. Method of identifying high-temperature target using shortwave infrared remote sensing data[J]. Remote Sens. Info, 2011, 26(6):33-36.

    [12] Yu Y F, Pan J, Xing L X, et al. Identification of high temperature targets in remote sensing imagery based on Mahalanobis distance[J]. Remote Sens. Info, 2013, 28(5):90-94.

    [13] Pan J, Xing L X, et al. Image and Signal Processing, Cisp 09, International Congress on, 2009:1 - 4.

    [14] Barducci A, Guzzi D, Marcoionni P, et al. Comparison of fire temperature retrieved from SWIR and TIR hyperspectral data[J]. Infrared physics & technology, 2004, 46(1):1-9.

    [15] Dennison P E, Matheson D S. Comparison of fire temperature and fractional area modeled from SWIR, MIR, and TIR multispectral and SWIR hyperspectral airborne data[J]. Remote Sensing of Environment, 2011, 115(3): 876-886.

    [16] Abuelgasim A, Fraser R. Geoscience and Remote Sensing Symposium, 2002. IGARSS'02. 2002 IEEE International, 2002,3:1489-1491.

    [17] Garcia M L, Caselles V. Mapping burns and natural reforestation using Thematic Mapper data[J]. Geocarto International, 1991, 6(1): 31-37.

    [18] Holden Z, Smith A, Morgan P, et al. Evaluation of novel thermally enhanced spectral indices for mapping fire perimeters and comparisons with fire atlas data[J]. International Journal of Remote Sensing, 2005, 26(21): 4801-4808.

    [19] Epting J, Verbyla D. Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+[J]. Remote Sensing of Environment, 2005, 96(3):328-339.

    [20] Reuter D C, Richardson C M, Pellerano F A, et al. The thermal infrared sensor (TIRS) on landsat 8: design overview and pre-launch characterization[J]. Remote Sensing, 2015, 7(1):1135-1153.

    [21] Savitzky A, Golay M J. Smoothing and differentiation of data by simplified least squares procedures[J]. Analytical chemistry, 1964, 36(8): 1627-1639.

    HE Yang, YANG Jin, MA Yong, LIU Jian-Bo, CHEN Fu, LI Xin-Peng, YANG Yi-Fei. A method for fire detection using Landsat 8 data[J]. Journal of Infrared and Millimeter Waves, 2016, 35(5): 600
    Download Citation