气候变化领域集成服务门户(CCPortal): Assessment of Landsat-based terricolous macrolichen cover retrieval and change analysis over caribou ranges in northern Canada and Alaska

CCPortal

DOI	10.1016/j.rse.2020.111694
	Assessment of Landsat-based terricolous macrolichen cover retrieval and change analysis over caribou ranges in northern Canada and Alaska
	Kennedy B.; Pouliot D.; Manseau M.; Fraser R.; Duffe J.; Pasher J.; Chen W.; Olthof I.
发表日期	2020
ISSN	00344257
卷号	240
英文摘要	Terricolous macrolichens are an important food source for caribou (Rangifer tarandus) and can greatly influence their movement, distribution and demography over time. Mapping the spatial distribution and cover of macrolichens with remote sensing can serve as an important approach for assessing the impact of disturbances (e.g. fire, grazing, trampling) on lichen cover at the landscape scale and for monitoring post-disturbance rates of recovery. Previous remote sensing-based efforts to retrieve the distribution and abundance of lichen have been restricted to particular regions and thus are not indicative of the potential for large extent mapping and monitoring. In this study, we assessed the effectiveness of machine learning methods for retrieving lichen cover and change across different regions in northern Canada and Alaska using Landsat-5 images, topographic and climate data. Global and regional-scale models were evaluated to assess whether regionally specific analyses would improve performance. Of the models tested, the deep neural network was the most accurate for predicting lichen cover (model efficiency (ME) = 0.58, mean absolute error (MAE) < 7%). For the regional analysis, the performance was the best in north-central Canada (ME = 0.56, MAE = 8%) and the worst in north-eastern Canada (ME = 0.22, MAE < 4%) due to lower lichen cover, more exposed ground, and reduced sample quality and distribution. Analysis of trend-based change detection from 1984 to 2011 in the three regional test areas showed the expected directional response with declining lichen cover in north-western Canada in response to climate-induced shrub expansion, slow recovery to wildfire in north-central Canada, and declining lichen cover in north-eastern Canada related to caribou foraging/trampling and shrub expansion. © 2020
英文关键词	Alaska; Canada; Landsat; Lichen; Machine learning; North
语种	英语
scopus关键词	Deep neural networks; Fungi; Learning systems; Machine learning; Population distribution; Quality control; Regional planning; Remote sensing; Alaska; Canada; LANDSAT; Lichen; North; Climate change; abundance; demography; land cover; Landsat; lichen; machine learning; remote sensing; shrub; spatial distribution; Alaska; Canada; United States; Rangifer tarandus
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179414
作者单位	Landscape Science and Technology Division, Environment and Climate Change Canada, 1125 Colonel By Drive, Ottawa, Ontario K1A 0H3, Canada; Canada Centre for Mapping and Earth Observation, Natural Resources Canada, 560 Rochester Street, Ottawa, Ontario K1S 5K2, Canada
推荐引用方式 GB/T 7714	Kennedy B.,Pouliot D.,Manseau M.,et al. Assessment of Landsat-based terricolous macrolichen cover retrieval and change analysis over caribou ranges in northern Canada and Alaska[J],2020,240.
APA	Kennedy B..,Pouliot D..,Manseau M..,Fraser R..,Duffe J..,...&Olthof I..(2020).Assessment of Landsat-based terricolous macrolichen cover retrieval and change analysis over caribou ranges in northern Canada and Alaska.Remote Sensing of Environment,240.
MLA	Kennedy B.,et al."Assessment of Landsat-based terricolous macrolichen cover retrieval and change analysis over caribou ranges in northern Canada and Alaska".Remote Sensing of Environment 240(2020).