常禹,陈宏伟,胡远满,等. 2012. 林火烈度评价及其空间异质性研究进展. 自然灾害学报,21(2):28-34. (Chang Y,Chen H W,Hu Y M,et al. 2012. Advances in the assessment of forest fire severity and its spatial heterogeneity. Journal of Natural Disasters,21(2):28-34.[in Chinese]) 邓湘文,文定元.2003. 林火对景观格局的影响及其应用. 森林防火,(3):22-26. (Deng X W,Wen D Y. 2003. The effects of forest fire on landscape patten and its applications to forest management. Forest Fire Prevention, (3):22-26.[in Chinese]) 李明泽,高元科,邸雪颖,等. 2016. 基于微波遥感技术探测森林地表土壤含水率.应用生态学报,27(3):785-793. (Li M Z,Gao Y K,Di X Y,et al. 2016. Detecting the moisture content of forest surface soil based on the microwave remote sensing technology. Chinese Journal of Applied Ecology,27(3):785-793.[in Chinese]) 李明泽,王雪,高元科,等. 2015. 大兴安岭植被指数年际变化及影响因子分析. 北京林业大学学报,37(5):1-10. (Li M Z,Wang X,Gao Y K,et al. 2015. Inter-annual variation in vegetation index and analysis of factors affecting it in Daxing'an Mountains. Journal of Beijing Forestry University,37(5):1-10.[in Chinese]) 刘志华,常禹,胡远满,等. 2009. 呼中林区与呼中自然保护区森林粗木质残体储量的比较. 植物生态学报,33(6):1075-1083. (Liu Z H,Chang Y,Hu Y M,et al. 2009. Comparison of storage of coarse woody debris between Huzhong Forest Bureau and Huzhong Natural Reserve in Daxing'an mountains,China. Chinese Journal of Plant Ecology,33(6):1075-1083.[in Chinese]) 王晓莉,王文娟,常禹,等. 2013. 基于NBR指数分析大兴安岭呼中森林过火区的林火烈度. 应用生态学报,24(4):967-974. (Wang X L,Wang W J,Chang Y,et al. 2013. Fire severity of burnt area in Huzhong forest region of Great Xing'an Mountains, Northeast China based on normalized burn ratio analysis. Chinese Journal of Applied Ecology,24(4):967-974.[in Chinese]) 吴志伟,常禹,贺红士,等. 2011. 大兴安岭呼中林区林火时空分布特征分析. 广东农业科学,(5):189-193. (Wu Z W,Chang Y,He H S,et al. 2011. Analyzing the spatial and temporal distribution characteristic of forest fires in Huzhong area in the Great Xing'an Mountains. Guangdong Agricultural Sciences,(5):189-193.[in Chinese]) 徐涵秋. 2005. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究. 遥感学报,9(5):589-595. (Xu H Q. 2005. A study on information extraction of water body with the modified normalized difference water index (MNDWI). Journal of Remote Sensing,24(4):967-974.[in Chinese]) 杨伟,张树文,姜晓丽. 2015. 基于MODIS时序数据的黑龙江流域火烧迹地提取. 生态学报,35(17):5866-5873. (Yang W,Zhang S W,Jiang X L. 2015. Burned area mapping for Heilongjiang basin based on MODIS time series data.Acta Ecologica Sinica,35(17):5866-5873.[in Chinese]) 于文婧,刘晓娜,孙丹峰,等. 2016. 基于HJ-CCD数据和决策树法的干旱半干旱灌区土地利用分类. 农业工程学报,32(2):212-219. (Yu W J,Liu X N,Sun D F,et al. 2016. Land use classification in arid and semi-arid irrigated area based on HJ-CCD data and decision tree method. Transactions of the Chinese Society of Agricultural Engineering,32(2):212-219.[in Chinese]) 祖笑锋,覃先林,尹凌宇,等. 2015. 基于高分一号影像光谱指数识别火烧迹地的决策树方法. 林业资源管理, (4):73-78. (Zu X F,Qin X L, Yin L Y,et al. 2015. Decision tree method for burned area identification rased on the spectral index of GF-1 WFV image. Forest Resources Management,(4):73-78.[in Chinese]) Epting J,Verbyla D,Sorbel B. 2005. Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+. Remote Sensing of Environment,96(3/4):328-339. Gerard F,Plummer S,Wadsworth R,et al. 2003. Forest fire scar detection in the boreal forest with multitemporal SPOT-VEGETATION data. IEEE Transactions on Geoscience & Remote Sensing,41(11):2575-2585. Key C H,Benson N C. 2006. Landscape assessment:sampling and analysis methods. USDA Forest Service,Rocky Mountain Research Station General Technical Report,RMRS-GTR-164-CD. Ogden,UT. Lentile L B,Smith F W,Shepperd W D. 2006. Influence of topography and forest structure on patterns of mixed severity fire in ponderosa pine forests of the South Dakota Black Hills, USA. International Journal of Wild land Fire,15(4):557-566. Lopez-Garcia M J,Caselles V. 1991. Mapping burns and natural reforestation using Thematic Mapper data. Geocarto International, 6(1):31-37. Mazuelas B P,Fernández T A. 2012. Landsat and MODIS Images for burned areas mapping in Galicia,Spain. MS thesis. Geoinformatics,Royal Institute of Technology,Stockholm,Sweden. Rouse J W. 1974. Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation. Greenbelt,MD:NASA/GSFC Type Ⅲ, Final Report. Seiler W,Crutzen P J. 1980. Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning. Climatic Change,2(3):207-247. |