[1] |
Amiro B D, Orhcansky A L, Barr A G et al., 2006. The effect of post-fire stand age on the boreal forest energy balance. Agricultural and Forest Meteorology, 140: 41-50. doi: 10.1016/j. agrformet.2006.02.014 |
[2] |
Barbosa P M, Gregoire J M, Pereira J M C, 1999. An algorithm for extracting burned areas from time series of AVHRR GAC data applied at a continental scale. Remote Sensing of Envi-ronment, 69: 253-263. |
[3] |
Cai Hongyan, Zhang Shuwen, Bu Kun et al., 2011. Intergrating geographical data and phenological characteristics derived from MODIS data for improving land over mapping. Journal of Geographical Sciences, 21(4): 705-718. doi: 10.1007/s11442-011-0874-1 |
[4] |
Carl H K, 2006. Ecological and sampling constraints on defining landscape fire severity. Fire Ecology, 2(2): 34-59. |
[5] |
Chuvieco E, Martin M P, Palacios A, 2002. Assessment of differ-ent spectral indices in the red-near-infrared spectral domain for burned land discrimination. International Journal of Remote Sensing, 23(23): 5103-5110. doi: 10.1080/01431160210153129 |
[6] |
Chuvieco E, 2008. Satellite observation of biomass burning: Im-plications in global change research. In: Chuvieco (ed.). Earth Observation and Global Change. New York: Springer. |
[7] |
Dozier J, 1981. A method for satellite identification of surface temperature fields of subpixel resolution. Remote Sensing of Environment, 11: 221-229. |
[8] |
Emilio C, Peter E, Alexander P T et al., 2008. Generation of long time series of burn area maps of the boreal forest from NOAA-AVHRR composite data. Remote Sensing of Environ-ment, 112: 2381-2396. doi: 10.1016/j.rse.2007.11.007 |
[9] |
Flannigan M D, Logan K A, Amiro B D, 2005. Future area burned in Canada. Climatic Change, 72: 1-16. doi: 10.1006/s10584-005-5935-y |
[10] |
Fraser R H, Li Z, Cihlar J, 2000. Hotspot and NDVI Differencing Synergy (HANDS): A new technique for burned area mapping over boreal forest. Remote Sensing of Environment, 74: 362-376. |
[11] |
Giglio L, Descloitres J, Justice C O et al., 2003. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87: 273-282. doi: 10.1016/S0034-4257 (03)00184-6 |
[12] |
Giglio L, Van der Werf G R, Randerson J T et al., 2005. Global estimation of burned area using MODIS active fire observations. Atmospheric Chemistry and Physics Discussion, 5: 11091-11141. |
[13] |
Gillet N P, Weaver A J, Zwiers F W et al., 2004. Detecting the effect of climate change on Canadian forest. Geophysical Re-search Letters, 31: L18211. doi: 18210.11029/12004GL020876 |
[14] |
Goetz S, Fiske G, Bunn A, 2006. Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada. Remote Sensing of Environment, 92: 411-423. doi: 10.1016/j.rse.2006.01.011 |
[15] |
IPCC (Intergovernmental Panel on Climate Change), 2007. Climate change 2007: The physical science basis. summary for policymakers. In: Change I P O C (ed.). Geneva IPCC Secre-tariat. |
[16] |
Jose A, Moreno R, David R et al., 2012. Burned area mapping time series in Canada (1984-1999) from NOAA-AVHRR LTDR: A comparison with other remote sensing products and fire perimeters. Remote Sensing of Environment, 117: 407-414. doi: 10.1016/j.rse.2011.10.017 |
[17] |
Kashian D M, Romme W H, Tinker D B et al., 2006. Carbon storage on landscapes with stand-replacing fires. BioScience, 56(7): 598-606. doi: org/10.1641/0006-3568(2006)56 |
[18] |
[598: CSOLWS]2.0.CO;2 |
[19] |
Kasischke E S, Hewson J H, Stock B et al., 2003. The use of ASTR active fire counts for estimating relative patterns of biomass burning-A study from the boreal forest region. Geo-physical Research Letters, 30(18): 1969-1972. doi: 10.1029/2003GL017859 |
[20] |
Kasischke E S, Tanase M A, Bourgeau-Chavez L L et al., 2011. Soil moisture limitations on monitoring boreal forest regrowth using spaceborne L-band SAR data. Remote Sensing of Envi-ronment, 115: 227-232. doi: 10.1016/j.rse.2010.08.022 |
[21] |
Kasischke E S and Turetsky M R, 2006. Recent changes in the fire regime across the North American boreal region—Spatial and temporal patterns of burning across Canada and Alaska. Geophysical Research Letters, 33: 1-5. doi: 10. 1029/2006GL 025677 |
[22] |
Kucera J, Yasuoka Y, Dye D G, 2005. Creating a forest fire data-base for the Far East Asia using NOAA/AVHRR observation. International Journal of Remote Sensing, 26(11), 2423-2439. doi: 10.1080/01431160410001735085 |
[23] |
Lhermitte S, Verbesselt J, Verstraeten W et al., 2010. A pixel based regeneration index using time series similarity and spatial context. Photogrammetric Engineering and Remote Sensing, 76(6): 673-682. |
[24] |
Louis G, Tatiana L, David P et al., 2009. An active-fire based burned area mapping algorithm for the MODIS sensor. Remote Sensing of Environment, 113: 408-420. doi: 10.1016/j.rse. 2008.10.006 |
[25] |
Martín M P, 1998. Cartografía e inventario de incendios forestales en la Península Ibérica a partir de imágenes NOAA-AVHRR. Departmento de Geografía. Alcalá de Henares, Universidad de Alcalá. |
[26] |
Martín M P, Chuvieco E, 1995. Mapping and evaluation of burned land from multitemporal analysis of AVHRR NDVI images. EARSeL Advances in Remote Sensing, 4(3): 7-13. |
[27] |
Maxim D, Peter P, Anna L et al., 2010. Reconstructing long time series of burned areas in arid grasslands of southern Russia by satellite remote sensing. Remote Sensing of Environment, 114: 1638-1648. doi: 10.1016/j.rse.2010.02.010 |
[28] |
Monaghati S, Samadzadegan F, Azizi A, 2009. An agent-based approach for regional forest fire detection using MODIS data. Journal of Applied Sciences, 9(20): 3672-3681. |
[29] |
Pereira J M C, 1999. A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping. IEEE Transactions on Geoscience and Remote Sensing, 37: 217-226. |
[30] |
Pinty B, Verstraete M M, 1992. GEMI: A non-linear index to monitor global vegetation from satellites. Vegetatio, 101: 15-20. |
[31] |
Pu R L, Li Z Q, Gong P et al., 2007. Development and analysis of a 12-year daily 1-km forest fire dataset across North America form NOAA/AVHRR data. Remote Sensing of Environment, 108: 198-208. doi: 10.1016/j.rse.2006.02.027 |
[32] |
Ramsey E, Nelson G, Sapkota S et al., 1999. Using mul-tiple-polarization L-band radar to monitor marsh burn recovery. IEEE Transactions on Geoscience and Remote Sensing, 37: 635-639. |
[33] |
Roy D P, Boschetti L, Justice C O et al., 2008. The collection 5 MODIS burned area product―Global evaluation by compari-son with the MODIS active fire product. Remote Sensing of Environment, 112: 3690-3707. doi: 10.1016/j.rse.2008.05.013 |
[34] |
Roy D P, Lewis P E, Justice C O, 2002. Burned area mapping using multi-temporal moderate spatial resolution data—A bi-directional reflectance model-based expectation approach. Remote Sensing of Environment, 83: 263-286. |
[35] |
Sukhinin A I, French N H, Kasischke E S et al., 2004. AVHRR-based mapping of fires in Russia: New products for fire management and carbon cycle studies. Remote Sensing of Environment, 93: 546-564. doi: 10.1016/j.rse.2004.08.011 |
[36] |
Vafeidis N A, Drake N A, Wainwrighe J, 2007. A proposed methon for modelling the hydrologic response fo cathments to burning with the use of remote sensing and GIS. Catena, 70(3): 396-409. |
[37] |
Vander Werf G R, Randerson J T, Giglio L et al., 2006. Interannual variability in global biomass burning emission from 1997 to 2004. Atmospheric Chemistry and Physics, 6: 3175-3226. |
[38] |
Wang Caiyun, Zha Xidunzhu, Chen Tao, 2010. Application of EOS/MODIS data on the forest fire in Tibet. Plateau and Mountain Meteorology Research, 30(3): 65-69. (in Chinese) |
[39] |
Zhang X Y, Shobha K, Brad Q, 2011. Estimation of biomass burned areas using multiple-satellite-observed active fires. IEEE Transactions on Geoscience and Remote Sensing, 49(11): 4469-4482. |