Quantifying local fire regimes using the Landsat data-archive:a conceptual framework to derive detailed fire pattern metrics from pixel-level information
作者机构：Integrated Remote Sensing StudioDepartment of Forest Resources ManagementUniversity of British ColumbiaVancouverBCCanada Bandaloop Landscape-Ecosystem ServicesNorth VancouverBCCanada
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2019年第12卷第5期
页 面：544-565页
核心收录：
学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学]
基 金：Saskatchewan Environment fRI Research Healthy Landscapes Program the government of the Northwest Territories Bandaloop Landscape-Ecosystem Services and an NSERC Discovery and Engage grant to Coops(RGPIN 311926-13 and EGP 503226-16)
主 题：Fire emulation historical range of variability landscape metrics fire patterns disturbance-based management
摘 要：Free and open access to the Landsat archive has enabled the detection and delineation of an unprecedented number of fire events across the *** the availability and potential of these data,few studies have analysed residual vegetation patterns and/or partial mortality of fire across the Canadian boreal forest,and those available,are either incomplete or ***,they all differ in the methods and spatial language,which makes it difficult for managers to interpret fire patterns over large *** is an urgent need for methods to help unify fire pattern observations across the Canadian boreal *** study explores the capacity of the Landsat data archive when coupled with a recently developed fire mapping approach and a robust spatial language to characterize and compare tree mortality patterns across the boreal plains ecozone,*** 507 fires 2.5 Mha mapped,this study represents the most comprehensive analysis of mortality patterns for study *** from this demonstration generated an accurate characterization of the fire patterns the various ecoregions based on seven key fire *** comparison between ecoregions revealed differences in the amount of residual vegetation,which in turn suggested various climate,topography and/or vegetation ecosystem drivers.
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