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Understanding fire is essential to improving forest management strategies. More specifically, an accurate knowledge of the spatial distribution of fuels is critical when analyzing, modelling and predicting fire behaviour. First, we review the main concepts and terminology associated with forest fuels and a number of fuel type classifications. Second, we summarize the main techniques employed to map fuel types starting with the most traditional approaches, such as field work, aerial photo interpretation or ecological modelling. We pay special attention to more contemporary techniques, which involve the use of remote sensing systems. In general, remote sensing systems are low-priced, can be regularly updated and are less time-consuming than traditional methods, but they are still facing important limitations. Recent work has shown that the integration of different sources of information and methods in a complementary way helps to overcome most of these limitations. Further research is encouraged to develop novel and enhanced remote sensing techniques. 相似文献
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[目的]以甘肃省天水市为例,基于遥感影像变化监测技术,探讨黄土高原丘陵沟壑与小陇山-西秦岭山地交接过渡区域近30年来森林(林地)资源空间分布规律、时间变化趋势及变化影响因素。[方法]以1988—2015年5期夏季Landsat TM/OLI遥感影像为主要数据源,结合辅助数据和外业实地样本点,以光谱特征和指数特征为特征变量,分别利用随机森林(RF)和参数优化支持向量机(POSVM)分类器对土地覆盖类型进行分类,然后基于分类后比较法进行森林资源动态变化监测。[结果]分类结果表明,两种分类器的分类效果均较好,且随机森林分类器在分类精度、效率和稳定性方面明显优于参数优化支持向量机分类器。变化监测结果表明,近30年来森林资源总体变化趋势为林地面积先减少后增加。1990—1996年,林地面积减少0.74%;1996—2002年,林地面积减少2.74%;2002—2008年,林地面积增加1.06%;2008—2015年,林地面积增加8.89%。[结论]本研究采用的基于非参数分类器分类后比较法的变化监测技术是复杂地形地貌过渡区森林资源动态变化监测的一种有效途径,在分类结果分析统计的基础上,得出研究区森林资源变化的总体趋势:以2002年(2002年影像)为界,林地总体趋势为先减少后增加,2002年后林地面积增加显著。 相似文献
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A key challenge in modern wildfire mitigation and forest management is accurate mapping of forest fuels in order to determine spatial fire hazard, plan mitigation efforts, and manage active fires. This study quantified forest fuels of the montane zone of Boulder County, CO, USA in an effort to aid wildfire mitigation planning and provide a metric by which LANDFIRE national fuel maps may be compared. Using data from 196 randomly stratified field plots, pre-existing vegetation maps, and derived variables, predictive classification and regression tree models were created for four fuel parameters necessary for spatial fire simulation with FARSITE (surface fuel model, canopy bulk density, canopy base height, and stand height). These predictive models accounted for 56–62% of the variability in forest fuels and produced fuel maps that predicted 91.4% and 88.2% of the burned area of two historic fires simulated in the FARSITE model. Simulations of areas burned based on LANDFIRE national fuel maps were less accurate, burning 77.7% and 40.3% of the historic fire areas. Our results indicate that fuel mapping efforts that utilize local area information and biotic as well as abiotic predictors will more accurately simulate fire spread rates and reflect the inherent variability of forested environments than do current LANDFIRE data products. 相似文献
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北京市森林可燃物分类研究 总被引：4，自引：0，他引：4
利用北京市土地利用图和Landsat TM影像,采用监督分类方法对可燃物进行分类,获得可燃物分类图,并对各类可燃物的特征进行详细描述.结果表明:可燃物可分6类,即O- 1草地(中低盖度)、O- 2草地(高盖度)、S- 1灌丛、S- 2幼林、C- 1针叶林、M- 1针阔混交林和B- 1阔叶林.由于TM卫星影像分辨率的限制,很难分别出林分垂直结构的差异.这一分类结果,可以满足森林火险等级预报的需要,但对于火行为预报,还需要根据林分燃烧性、林分垂直结构及可燃物分布状态进一步分类.对当前的可燃物分类方法与制图途径以及未来的发展趋势进行讨论. 相似文献
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Alicia L. Reiner Nicole M. Vaillant JoAnn Fites-Kaufman Scott N. Dailey 《Forest Ecology and Management》2009,258(11):2365-2372
Due to increases in tree density and hazardous fuel loading in Sierra Nevadan forests, land management is focusing on fuel reduction treatments to moderate the risk of catastrophic fires. Fuel treatments involving mechanical and prescribed fire methods can reduce surface as well as canopy fuel loads. Mastication is a mechanical method which shreds smaller trees and brush onto the surface fuel layer. Little data exist quantifying masticated fuel beds. Despite the paucity of data on masticated fuels, land managers desire fuel loading, potential fire behavior and fire effects such as tree mortality information for masticated areas. In this study we measured fuel characteristics before and after mastication and mastication plus prescribed burn treatments in a 25-year old ponderosa pine (Pinus ponderosa C. Lawson) plantation. In addition to surface fuel characteristics and tree data collection, bulk density samples were gathered for masticated material. Regressions were created predicting masticated fuel loading from masticated fuel bed depth. Total masticated fuel load prior to fire treatment ranged from 25.9 to 42.9 Mg ha−1, and the bulk density of masticated fuel was 125 kg m−3. Mastication treatment alone showed increases in most surface fuel loadings and decreases in canopy fuel loads. Masticated treatment in conjunction with prescribed burning reduced both surface and canopy fuel loads. Detailed information on fuel structure in masticated areas will allow for better predictions of fire behavior and fire effects for fire in masticated fuel types. Understanding potential fire behavior and fire effects associated with masticated fuels will allow managers to make decisions on the possibility of mastication to create fuel breaks or enhance forest health. 相似文献
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Ninni Saarinen Mikko Vastaranta Eija Honkavaara Michael A. Wulder Joanne C. White Paula Litkey 《Scandinavian Journal of Forest Research》2016,31(1):66-79
Natural disturbances such as wind are known to cause threats to ecosystem services as well as sustainable forest ecosystem management. The objective of this research was to better understand and quantify drivers of predisposition to wind disturbance, and to model and map the probability of wind-induced forest disturbances (PDIS) in order to support forest management planning. To accomplish this, we used open-access airborne light detection and ranging (LiDAR) data as well as multi-source National Forest Inventory (NFI) data to model PDIS in southern Finland. A strong winter storm occurred in the study area in December 2011. High spatial resolution aerial images, acquired after the disturbance event, were used as reference data. Potential drivers associated with PDIS were examined using a multivariate logistic regression model. The model based on LiDAR provided good agreement with detected areas susceptible to wind disturbance (73%); however, when LiDAR was combined with multi-source NFI data, the results were more promising: prediction accuracy increased to 81%. The strongest predictors in the model were mean canopy height, mean elevation, and stem volume of the main tree species (Norway spruce and Scots pine). Our results indicate that open-access LiDAR data can be used to model and map the probability of predisposition to wind disturbance, providing spatially detailed, valuable information for planning and mitigation purposes. 相似文献
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There is a lack of knowledge to identify and classify forest structures according to the risk of crown fires, especially in
Mediterranean regions. In this study, for the first time, we use real information, obtained after a wildfire that burnt under
extreme meteorological conditions, to classify forest structures of Pinus halepensis into fuel types as a function of crown fire potential. We identified fourteen forest structures which characterize many forest
types in Western Mediterranean areas depending on canopy closure, number of tree layers, percent of each tree layer and overall
tree density. By using the pattern of fire types that burnt the most numerous forest structures, we have identified four fire
hazard groups of forest structures which are considered different fuel types. The first two had the lowest risk of active
crown fires and they differed in the proportion of surface fires and passive crown fires. The third fuel type was the threshold
between structures with low and high extreme fire behavior; while the fourth had a high risk of active crown fires. Firefighters
and forest managers who are demanding this kind of schema, will test and upgrade this classification of fuel types in function
of crown fire potential during future wildfires. 相似文献
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基于GIS平台的林火景观格局研究构想 总被引：1，自引：0，他引：1
现代林火管理需要在整合森林防灭火信息的基础上,对林火发生、发展、蔓延以及可燃物景观格局现状进行系统深入的分析,以期对林分可燃物进行科学合理的空间布局,并实现对林火防区可燃物未来演替格局的预测。通过对相关研究的综述分析,基于地理信息系统(GIS)平台的空间直观模型模拟,是针对把林火作为驱动因子的大时空尺度森林景观变化研究的强有力工具。提出了以林火景观生态格局为核心的研究框架,具体研究成果将直接为林火防区提供灭火策略和灭火指挥辅助决策的数源基础和定量化技术支持。 相似文献
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森林火灾频发给我国造成了严重的森林资源损失和其他方面的损失。而我国在森林火行为预测预报研究方面水平较低,还无法准确地对火灾进行预测。加拿大森林火行为预测系统（FBP系统）可以利用森林可燃物类型、气象条件、地形地势及火行为特征等因子准确有效地对森林火行为进行预测预报,对林火管理人员制定灭火计划和组织火灾扑救工作具有十分重要的意义。文中介绍了FBP系统的主要结构和工作原理,以及系统内部参数和预测预报所需的相关数据,概述了该系统在加拿大的实际应用情况,对我国建立森林火灾预报、火行为预测系统进行了展望。 相似文献
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基于RS和GIS的天鹅山林场森林景观格局研究 总被引：6，自引：0，他引：6
以2003年12月28日Spot5遥感图像和2000年天鹅山森林二类资源调查数据为主要数据源,利用ERMAP-PER和ARCGIS为空间信息处理工具得到森林景观分布图,采用软件Fragstats3.3对天鹅山林场的景观要素特征、景观异质性和景观空间关系进行了分析,以揭示其生态状况和空间变异。结果表明:全场共划分7类景观要素,其中杉木林、阔叶林为该场主要森林景观要素类型;松林与幼林受人类干扰大而阔叶林受人类干扰小;杉木林地之间的聚集状况较好。 相似文献
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Modeling fire susceptibility in west central Alberta, Canada 总被引：1，自引：0，他引：1
Jennifer L. Beverly Emily P.K. Herd J.C. Ross Conner 《Forest Ecology and Management》2009,258(7):1465-1478
Strategic modification of forest vegetation has become increasingly popular as one of the few preemptive activities that land managers can undertake to reduce the likelihood that an area will be burned by a wildfire. Directed use of prescribed fire or harvest planning can lead to changes in the type and arrangement of forest vegetation across the landscape that, in turn, may reduce fire susceptibility across large areas. While among the few variables that fire managers can influence, fuel conditions are only one of many factors that determine fire susceptibility. Variations in weather and topography, in combination with fuels, determine which areas are more likely to burn under a given fire regime. An understanding of these combined factors is necessary to identify high fire susceptibility areas for prioritizing and evaluating strategic fuel management activities, as well as informing other fire management activities, such as community protection planning and strategic level allocation of fire suppression resources across a management area. We used repeated fire growth simulations, automated in the Burn-P3 landscape-fire simulation model, to assess spatial variations in fire susceptibility across a 2.4 million ha study area in the province of Alberta, Canada. The results were used to develop a Fire Susceptibility Index (FSI). Multivariate statistical analyses were used to identify the key factors that determine variation in FSI across the study area and to describe the spatial scale at which these variables influence fire susceptibility at a given location. A fuel management scenario was used to assess the impact of prescribed fire treatments on FSI. Results indicated that modeled fire susceptibility was strongly influenced by fuel composition, fuel arrangement, and topography. The likelihood of high or extreme FSI values at a given location was strongly associated with the percent of conifer forest within a 2-km radius, and with elevation and ignition patterns within a 5-km radius. Results indicated that prescribed fire treatments can be effective at reducing forest fire susceptibility in community protection zones and that simulation modeling is an effective means of evaluating spatial variation in landscape fire susceptibility. 相似文献
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【目的】通过地理加权回归(GWR)模型估算非干扰林龄,利用遥感数据和林火发生历史数据,获取过火区域信息,进而对林火烈度分级,讨论林火烈度与森林类型的交互作用,估算干扰林龄,最终获得黑龙江省森林年龄的空间分布。【方法】以黑龙江森林为研究区域,基于研究区域的多光谱数据结合地面森林资源清查数据,通过逐步回归方法提取了包括遥感因子绿度指数(Greeness)、湿度指数(Wetness)、林分平均胸径(ADBH)、林分平均树高(ASH)及海拔(Altitude)在内的5个显著因子作为自变量,采用GWR模型建立非干扰林龄估算模型。采用全局Moran I来描述模型残差的空间自相关性。绘制研究区非干扰林龄空间分布图并探究林龄的空间分布状态。[JP+1]结合林火位置与面积记录对多光谱数据目视解译提取过火区域,根据dNBR将过火区域火烈度分级。将火烈度图与植被类型图叠加分析,讨论不同森林类型在不同火烈度下的演替情况。定义干扰林龄时,未发生树种更替的森林林龄不变,树种发生更替的森林在林火发生年将其林龄归为0,并在新的优势树种萌发时从1开始累加,以此类推干扰后森林的林龄。【结果】黑龙江省非干扰森林平均林龄为48年,标准差为16年。GWR模型的 Radj^2 为0.68,RMSE为16.171 7。使用Moran I来检验模型的残差,发现GWR模型可很好地消除残差的空间自相关性。研究区林龄整体空间分布状态不均匀,大兴安岭地区林龄普遍高于黑龙江林区。黑龙江省2000―2010年林火主要发生在大兴安岭及小兴安岭地区,根据dNBR将已提取的过火区域林火烈度分为:未过火、轻度过火、中度过火和重度过火4类,总过火面积为527 932 hm^2,其中重度29 157 hm^2、中度180 268 hm^2、轻度318 507 hm^2。兴安落叶松林和蒙古栎林在整个研究区中过火面积最大,分别占总过火面积的28.63%和47.23%。根据不同森林类型在不同火烈度下的演替情况,估算干扰森林的林龄并绘制干扰林龄空间分布图。【结论】 GWR模型能较有效地估算黑龙江省非干扰林龄,成功地降低了残差的空间自相关性。在估算林龄的过程中加入林火干扰因素,以获取更真实的林龄空间分布数据,可为黑龙江地区森林NPP、NEP以及森林碳储量、森林生物量等相关研究提供数据支持。 相似文献
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【目的】通过地理加权回归(GWR)模型估算非干扰林龄,利用遥感数据和林火发生历史数据,获取过火区域信息,进而对林火烈度分级,讨论林火烈度与森林类型的交互作用,估算干扰林龄,最终获得黑龙江省森林年龄的空间分布。【方法】以黑龙江森林为研究区域,基于研究区域的多光谱数据结合地面森林资源清查数据,通过逐步回归方法提取了包括遥感因子绿度指数(Greeness)、湿度指数(Wetness)、林分平均胸径(ADBH)、林分平均树高(ASH)及海拔(Altitude)在内的5个显著因子作为自变量,采用GWR模型建立非干扰林龄估算模型。采用全局Moran I来描述模型残差的空间自相关性。绘制研究区非干扰林龄空间分布图并探究林龄的空间分布状态。[JP+1]结合林火位置与面积记录对多光谱数据目视解译提取过火区域,根据dNBR将过火区域火烈度分级。将火烈度图与植被类型图叠加分析,讨论不同森林类型在不同火烈度下的演替情况。定义干扰林龄时,未发生树种更替的森林林龄不变,树种发生更替的森林在林火发生年将其林龄归为0,并在新的优势树种萌发时从1开始累加,以此类推干扰后森林的林龄。【结果】黑龙江省非干扰森林平均林龄为48年,标准差为16年。GWR模型的 Radj^2 为0.68,RMSE为16.171 7。使用Moran I来检验模型的残差,发现GWR模型可很好地消除残差的空间自相关性。研究区林龄整体空间分布状态不均匀,大兴安岭地区林龄普遍高于黑龙江林区。黑龙江省2000―2010年林火主要发生在大兴安岭及小兴安岭地区,根据dNBR将已提取的过火区域林火烈度分为:未过火、轻度过火、中度过火和重度过火4类,总过火面积为527 932 hm^2,其中重度29 157 hm^2、中度180 268 hm^2、轻度318 507 hm^2。兴安落叶松林和蒙古栎林在整个研究区中过火面积最大,分别占总过火面积的28.63%和47.23%。根据不同森林类型在不同火烈度下的演替情况,估算干扰森林的林龄并绘制干扰林龄空间分布图。【结论】 GWR模型能较有效地估算黑龙江省非干扰林龄,成功地降低了残差的空间自相关性。在估算林龄的过程中加入林火干扰因素,以获取更真实的林龄空间分布数据,可为黑龙江地区森林NPP、NEP以及森林碳储量、森林生物量等相关研究提供数据支持。 相似文献
15.
Francisco Rodríguez y Silva Juan Ramón Molina-Martínez 《European Journal of Forest Research》2012,131(3):571-582
Fire behavior modeling systems are important in predicting wildfire risk, fire growth, and fire effects. However, simulation
software requires a new fuel modeling to include fuel treatments, prescribed fire and the transition to crown fire. The thirteen
Rothermel models are insufficient in completely representing Mediterranean ecosystems. In this sense, the new American modeling
includes five fuel types, requiring the acquisition of hybrid models made up of the mixture of grass and shrub and the grass
or shrub mixed with litter from forest canopy. Respecting meteorological conditions and shrub characteristics, field studies
have shown significant differences between American and Mediterranean models. As a consequence, the definition of new Mediterranean
models requires the adjustment of specific parameters such as fuel load by category (live and dead) and particle size class
(1-, 10- and 100-h time-lag), fuelbed depth and surface area-to-volume ratio. These new parameters were obtained in situ of
sample itineraries, prescribed fires, and forest fires. The availability of this new modeling, validated on a field of regional
scale, will facilitate preventive planning and management as well as an efficient application of suppression techniques, both
ground and aerial operations, required in defending a territory against forest fires. 相似文献
16.
利用Arcgis地理信息系统平台,运用空间分析技术手段,以湖北襄阳鹿门寺景区地形图和卫星影像等数据为基础,选择不同观测点进行视域分析,设定了景区林火视频监控摄像头的位置,为森林防火管理辅助决策提供了依据。 相似文献
17.
18.
Relationship between landscape structure and burn severity at the landscape and class levels in Samchuck, South Korea 总被引：1，自引：0，他引：1
Sang-Woo Lee Myung-Bo Lee Young-Geun Lee Myoung-Soo Won Jong-Jin Kim Sung-kwon Hong 《Forest Ecology and Management》2009,258(7):1594-1604
Fuel treatments for reducing fire risk are necessarily tied to the landscape structure including forest composition and configuration. Thus understanding the relationships between landscape structure and burn severity is important for developing guidelines and management strategies for fire-resilient forests. The goal of this study was to investigate the relationship between landscape structure as described by spatial pattern metrics and burn severity at the landscape and class levels. In 2000, a mostly severe fire burned 16,210 ha of dense forest located in Samchuck on the east coast of the Korean peninsula. Spatial pattern metrics including patch density, largest patch index, mean shape index, area-weighted mean shape index, Euclidean nearest neighborhood distance, and Shannon's diversity index, as well as topographic characteristics of slope and elevation, were correlated with burn severity based on delta Normalized Burn Ratio (dNBR) assessments. Regression tree analysis was also carried out with the same variables to avoid spatial autocorrelation and to reveal the relative importance of variables to burn severity. The results of this study strongly suggest that both composition and configuration of the forest cover patches are closely tied to burn severity. In particular, both the correlation analysis and regression tree analysis indicated that the area of red pine tree forest cover was the most significant factor in explaining the variance of burn severity. Topography and spatial configuration of forest cover patches were also significantly related to burn severity. The heterogeneity of forests also had a significant influence on burn severity. To reduce fire risk and increase the fire resilience of forests, forest managers and agencies need to consider enhancing the heterogeneity of forests when implementing fuel treatment schemes. However, such fuel treatments for landscape structure may only be effective under moderate weather conditions. 相似文献
19.
谷歌地球（Google Earth）是美国谷歌公司推出的免费全球地理信息系统服务软件,其以卫星照片和航空照片为底图,结合DTM数字模型,通过网络提供全球的遥感图像。以谷歌地球提供的共享空间数据和森林火灾预防、监测、扑救等数据为基础,可以对谷歌地球进行二次开发。通过森林防火的空间数据与属性数据相结合可以实现森林火场定位、火场信息查询、GPS辅助决策指挥、火灾损失评估、火灾数据统计分析等功能;能够在短时间内实现森林火灾的准确定位并提供森林火灾发生地和火场周围的地理信息,以便快速准确地引导扑火队员到达火场进行火灾扑救。 相似文献
20.
For the sake of exploring how the pattern of Chinese pine （Pinus massoniana Lamb） community changed after the invasion of the pine wood nematode （Bursaphelenchus xylophilus （Steiner ＆ Buhrer） Niclde） in Zhoushan, Zhejiang Province, we established a test area in the local Chinese pine community. Landsat5 TM images from 1991 and 2006 were integrated with auxiliary data from field investigation and spectral data as additional sources of information. A method of expert knowledge classifier was applied to establish the expert knowledge dataset of the main vegetation cover types from which we obtained a forest type distribution map. The spatial patterns and stability of the forest, before and after the invasion of the pine wood nematode, were analyzed in terms of community patterns. The results indicated that the predominant coniferous forest type changed to a mixed forest. As a result, the forest structure became complex and the interaction between coniferous forest patches became weakened over the period from 1991 to 2006. Therefore, the resistance of the forest eco-system to plant diseases and insect pests and the stability of forest eco-system enhanced. 相似文献