气候变化领域集成服务门户(CCPortal): Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests

CCPortal

DOI	10.1016/j.isprsjprs.2024.01.008
	Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
	Smith-Tripp, Sarah M.; Coops, Nicholas C.; Mulverhill, Christopher; White, Joanne C.; Axelson, Jodi
发表日期	2024
ISSN	0924-2716
EISSN	1872-8235
起始页码	208
卷号	208
英文摘要	Forest disturbances such as wildfires can dramatically alter forest structure and composition, increasing the likelihood of ecosystem changes. Up-to-date and accurate measures of post-disturbance forest recovery in managed forests are critical, particularly for silvicultural planning. Measuring the live and dead vegetation post-fire is challenging because areas impacted by wildfire may be remote, difficult to access, and/or dangerous to survey. The difficulties of post-fire monitoring are compounded by the global increase in the frequency and severity of disturbances, as expansion of disturbed areas also increases the number and size of areas requiring post-disturbance monitoring. Methods that safely, efficiently, and extensively differentiate silviculturally beneficial coniferous growth from barren ground or deciduous shrubs are necessary to inform post-fire forest management. Satellite imagery can detect burn patterns, but monitoring changes in forest structure post fire is challenging due to complex vegetation responses. To overcome this challenge, this study combines post-disturbance spectral trajectory measures from a time series of historical Landsat imagery with field and remotely piloted aircraft (RPA) lidar (light detection and ranging) data to examine vegetation recovery of lodgepole pine (Pinus contorta) dominated sub-boreal forests after high-severity fires in 2006 in central British Columbia, Canada. Distinct spectral recovery trajectories were identified using data-clustering from a combination of seven Landsat spectral indices, with trajectories varying by recovery magnitude and rate. The forest structure associated with each distinct trajectory of spectral recovery was analyzed using 430 ha of spatially explicit forest structure measures (e.g., basal area, stem counts) and composition (e.g., percent coniferous) derived from 26 coincident field plots and high density RPA lidar (>200 points/m(2)) data. By comparing spectral trajectories to forest structure measures, we found the most spatially abundant cluster of spectral recovery coincided with a basal area of 0.62 m(2)/ha, high stem densities (>5000 stems/ha) and a high abundance of coniferous trees (>95 % coniferous). Around 10 % of the landscape was associated with relatively high abundance of deciduous vegetation (>20 %) in addition to very high conifer stem densities (>8000 stems/ha). By identifying the structural characteristics associated with unique Landsat spectral trajectories, we highlight the combined value of RPA lidar data and satellite image time series in providing a detailed and spatially explicit characterization of post-fire recovery relevant to managed forests.
英文关键词	Forest disturbances; Forest structure; Lidar; Remotely piloted aircraft (RPA); Satellite imagery; Spectral clustering
语种	英语
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001170300000001
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305875
作者单位	University of British Columbia; Natural Resources Canada; Canadian Forest Service
推荐引用方式 GB/T 7714	Smith-Tripp, Sarah M.,Coops, Nicholas C.,Mulverhill, Christopher,et al. Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests[J],2024,208.
APA	Smith-Tripp, Sarah M.,Coops, Nicholas C.,Mulverhill, Christopher,White, Joanne C.,&Axelson, Jodi.(2024).Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,208.
MLA	Smith-Tripp, Sarah M.,et al."Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 208(2024).