Spatial modelling of the fraction of photosynthetically active radiation absorbed by a boreal mixedwood forest using a lidar-hyperspectral approach

被引:40
作者
Thomas, V. [1 ]
Finch, D. A.
McCaughey, J. H.
Noland, T.
Rich, L.
Treitz, P.
机构
[1] Queens Univ, Dept Geog, Fac Arts & Sci, Kingston, ON K7L 3N6, Canada
[2] Ontario Forest Res Inst, Ontario Minist Nat Resources, Sault Ste Marie, ON P6A 2E5, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
fPAR; canopy structure; spatial variability; lidar; hyperspectral; chlorophyll;
D O I
10.1016/j.agrformet.2006.04.008
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The spatial variability of the fraction of photosynthetically active radiation absorbed by the canopy (fPAR) was characterized for a heterogeneous boreal mixedwood forest site located in northern Ontario, Canada, based on relationships found between PAR and light detection and ranging (lidar) data over different canopy architectures. Estimates of fPAR were derived from radiation measurements made above the canopy at a flux tower and below-canopy radiation was measured across a range of species compositions and canopy architectures. Airborne lidar data were used to characterize spatial variability of canopy structure around the flux tower and a map of mean canopy chlorophyll concentration was derived from airborne hyperspectral imagery. Different volumes of lidar points for the locations directly above each photosynthetically active radiation (PAR) sensor were examined to determine if there is an optimal method of relating lidar returns to estimated WAR values. The strongest correlations between mean lidar height and fPAR occurred when using points that fell within a theoretical cone which originated at the PAR sensor having a solid angle alpha = 55 degrees. For diffuse conditions, the correlation (r) between mean lidar height versus fPAR x chlorophyll was stronger than between mean lidar height versus fPAR by 8% for mean daily fPAR and from 10 to 20% for diurnal WAR, depending on solar zenith angle. For direct light conditions, the relationship was improved by 12% for mean daily fPAR and 12-41% for diurnal relationships. Linear regression models of mean daily fPAR x chlorophyll versus mean lidar height were used in conjunction with gridded lidar data and the canopy chlorophyll map to generate maps of mean daily fPAR for direct and diffuse sunlight conditions. Site average WAR calculated from these maps was 0.79 for direct light conditions and 0.78 for diffuse conditions. When compared to point estimates of mean daily WAR calculated on the tower, the average fPAR was significantly lower than the point estimate. Subtracting the direct sunlight fPAR map from the diffuse sunlight fPAR map revealed a distinct spatial pattern showing that areas with open canopies and relatively low chlorophyll (e.g., black spruce patches) have a higher WAR under direct sunlight conditions, while closed canopies with higher chlorophyll (e.g., deciduous species) absorb more PAR under diffuse conditions. These findings have implications for scaling from point measurements at flux towers to larger resolution satellite imagery and addressing local scale heterogeneity in flux tower footprints. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:287 / 307
页数:21
相关论文
共 62 条
[1]  
[Anonymous], PIX51 CAN FOR SERV P
[2]  
[Anonymous], PROBABILITY STAT ENG
[3]  
ARP H, 1982, PHOTOGRAMM ENG REM S, V48, P91
[4]  
*ASTM, 2000, D443000E1 ASTM
[5]  
BAESSET E, 1997, ISPRS 4 PHOTOGRAM RE, V52, P49
[6]   SOLAR-RADIATION WITHIN AN OAK HICKORY FOREST - AN EVALUATION OF THE EXTINCTION COEFFICIENTS FOR SEVERAL RADIATION COMPONENTS DURING FULLY-LEAFED AND LEAFLESS PERIODS [J].
BALDOCCHI, DD ;
MATT, DR ;
HUTCHISON, BA ;
MCMILLEN, RT .
AGRICULTURAL AND FOREST METEOROLOGY, 1984, 32 (3-4) :307-322
[7]   A comparison between photogrammetry and laser scanning [J].
Baltsavias, EP .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 1999, 54 (2-3) :83-94
[8]   Quantifying chlorophylls and caroteniods at leaf and canopy scales: An evaluation of some hyperspectral approaches [J].
Blackburn, GA .
REMOTE SENSING OF ENVIRONMENT, 1998, 66 (03) :273-285
[9]   Remote sensing of forest pigments using airborne imaging spectrometer and LIDAR imagery [J].
Blackburn, GA .
REMOTE SENSING OF ENVIRONMENT, 2002, 82 (2-3) :311-321
[10]  
Bonan GB, 1998, J CLIMATE, V11, P1307, DOI 10.1175/1520-0442(1998)011<1307:TLSCOT>2.0.CO