DOI: 10.1016/j.foreco.2015.05.032
Scopus记录号: 2-s2.0-84953354065
论文题名: The role of remote sensing in process-scaling studies of managed forest ecosystems
作者: Masek J.G. ; Hayes D.J. ; Joseph Hughes M. ; Healey S.P. ; Turner D.P.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2015
卷: 355 起始页码: 109
结束页码: 123
语种: 英语
英文关键词: Forest ecology
; Remote sensing
; Scaling
Scopus关键词: Carbon
; Climate change
; Ecology
; Ecosystems
; Forestry
; Optical radar
; Spectroscopy
; Ecosystem process
; Forest ecology
; Hyper-spectral imageries
; Interferometric radars
; Management decisions
; Process understanding
; Remote sensing technology
; Scaling
; Remote sensing
英文摘要: Sustaining forest resources requires a better understanding of forest ecosystem processes, and how management decisions and climate change may affect these processes in the future. While plot and inventory data provide our most detailed information on forest carbon, energy, and water cycling, applying this understanding to broader spatial and temporal domains requires scaling approaches. Remote sensing provides a powerful resource for "upscaling" process understanding to regional and continental domains. The increased range of available remote sensing modalities, including interferometric radar, lidar, and hyperspectral imagery, allows the retrieval of a broad range of forest attributes. This paper reviews the application of remote sensing for upscaling forest attributes from the plot scale to regional domains, with particular emphasis on how remote sensing products can support parameterization and validation of ecosystem process models. We focus on four key ecological attributes of forests: composition, structure, productivity and evapotranspiration, and disturbance dynamics. For each attribute, we discuss relevant remote sensing technologies, provide examples of their application, and critically evaluate both strengths and challenges associated with their use. © 2015 Published by Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65610
Appears in Collections: 影响、适应和脆弱性
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作者单位: Biospheric Sciences Laboratory (Code 618), NASA Goddard Space Flight Center, Greenbelt, MD, United States; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Department of Ecology and Evolutionary Biology, University of Tenn., Knoxville, TN, United States; USDA Forest Service, Rocky Mountain Research Station, Ogden, UT, United States; Department of Forest Ecosystems and Society, Oregon State Univ., Corvallis, OR, United States
Recommended Citation:
Masek J.G.,Hayes D.J.,Joseph Hughes M.,et al. The role of remote sensing in process-scaling studies of managed forest ecosystems[J]. Forest Ecology and Management,2015-01-01,355