DOI: 10.1016/j.jag.2016.07.017
Scopus记录号: 2-s2.0-84998886414
论文题名: Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations
作者: Moura Y ; M ; D ; , Hilker T ; , Gonçalves F ; G ; , Galvão L ; S ; , dos Santos J ; R ; , Lyapustin A ; , Maeda E ; E ; , de Jesus Silva C ; V
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 580
结束页码: 590
语种: 英语
英文关键词: Anisotropy
; Canopy roughness
; LiDAR
; MAIAC
; MODIS
; Multi-angle
Scopus关键词: anisotropy
; canopy
; lidar
; MODIS
; tropical forest
; vegetation structure
; Amazonia
英文摘要: Detailed knowledge of vegetation structure is required for accurate modelling of terrestrial ecosystems, but direct measurements of the three dimensional distribution of canopy elements, for instance from LiDAR, are not widely available. We investigate the potential for modelling vegetation roughness, a key parameter for climatological models, from directional scattering of visible and near-infrared (NIR) reflectance acquired from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS). We compare our estimates across different tropical forest types to independent measures obtained from: (1) airborne laser scanning (ALS), (2) spaceborne Geoscience Laser Altimeter System (GLAS)/ICESat, and (3) the spaceborne SeaWinds/QSCAT. Our results showed linear correlation between MODIS-derived anisotropy to ALS-derived entropy (r2 = 0.54, RMSE = 0.11), even in high biomass regions. Significant relationships were also obtained between MODIS-derived anisotropy and GLAS-derived entropy (0.52 ≤ r2 ≤ 0.61; p < 0.05), with similar slopes and offsets found throughout the season, and RMSE between 0.26 and 0.30 (units of entropy). The relationships between the MODIS-derived anisotropy and backscattering measurements (σ0) from SeaWinds/QuikSCAT presented an r2 of 0.59 and a RMSE of 0.11. We conclude that multi-angular MODIS observations are suitable to extrapolate measures of canopy entropy across different forest types, providing additional estimates of vegetation structure in the Amazon. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80020
Appears in Collections: 气候变化事实与影响
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作者单位: Instituto Nacional de Pesquisas Espaciais (INPE), Divisão de Sensoriamento Remoto, São José dos Campos, SP, Brazil; Oregon State University, College of Forestry, Corvallis, OR, United States; University of Southampton, Department of Geography and Environment, Southampton, United Kingdom; Agrosatelite Geotecnologia Aplicada, Florianópolis, SC, Brazil; NASA Goddard Space Flight Center, Greenbelt, MD, United States; University of Helsinki, Department of Geosciences and Geography, P.O. Box 68, Helsinki, Finland
Recommended Citation:
Moura Y,M,D,et al. Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52