DOI: 10.1016/j.rse.2020.111694
论文题名: Assessment of Landsat-based terricolous macrolichen cover retrieval and change analysis over caribou ranges in northern Canada and Alaska
作者: Kennedy B. ; Pouliot D. ; Manseau M. ; Fraser R. ; Duffe J. ; Pasher J. ; Chen W. ; Olthof I.
刊名: Remote Sensing of Environment
ISSN: 344257
出版年: 2020
卷: 240 语种: 英语
英文关键词: Alaska
; Canada
; Landsat
; Lichen
; Machine learning
; North
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
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 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158468
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Remote Sensing of Environment,2020-01-01,240