Coupling forest canopy and understory reflectance in the Arctic latitudes of Finland

被引:53
作者
Rautiainen, Miina [1 ]
Suomalainen, Juha
Mottus, Matti
Stenberg, Pauline
Voipio, Pekka
Peltoniemi, Jouni
Manninen, Terhikki
机构
[1] Tartu Observ, EE-61602 Toravere, Estonia
[2] Finnish Geodet Inst, Dept Remote Sensing & Photogrammetry, FI-02431 Masala, Finland
[3] Univ Helsinki, Dept Forest Ecol, FI-00014 Helsinki, Finland
[4] Suonenjoki Res Unit, Finnish Forest Res Inst, FI-77600 Suonenjoki, Finland
[5] Finnish Meteorol Inst, FI-00101 Helsinki, Finland
基金
芬兰科学院;
关键词
leaf area index; understory BRDF; goniospectrometry; recollision probability;
D O I
10.1016/j.rse.2007.03.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Arctic region is predicted to experience considerable climatic and environmental changes as the global atmospheric CO2 increases. Growing awareness of the role of tundra and taiga ecosystems and their transition zone in the climate change process has resulted in a recent increase in remote sensing studies focusing on the Arctic latitudes. Remote sensing of biophysical properties of the canopy layer in the forested part of the region is often, however, challenged by the dominating role of the understory in the spectral signal. In this paper, we examine the influence of understory vegetation on forest reflectance in the Arctic region of Finland during no-snow conditions. The study is based on SPOT HRVIR images, field goniospectrometry, 300 ground reference plots and a physically-based forest reflectance model (PARAS). The results indicate that lichen-dominated forest site types can be distinguished from sites dominated by dwarf shrubs. The paper also contains results from applying an analytical method for calculating photon recollision probability from canopy transmittance data for forest stands, and then using it to simulate the reflectance of the same stands. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:332 / 343
页数:12
相关论文
共 38 条
[1]  
[Anonymous], P 9 INT S PHYS MEA 1
[2]   Modelling local distribution of an Arctic dwarf shrub indicates an important role for remote sensing of snow cover [J].
Beck, PSA ;
Kalmbach, E ;
Joly, D ;
Stien, A ;
Nilsen, L .
REMOTE SENSING OF ENVIRONMENT, 2005, 98 (01) :110-121
[3]   LAND ATMOSPHERE INTERACTIONS FOR CLIMATE SYSTEM MODELS - COUPLING BIOPHYSICAL, BIOGEOCHEMICAL, AND ECOSYSTEM DYNAMICAL PROCESSES [J].
BONAN, GB .
REMOTE SENSING OF ENVIRONMENT, 1995, 51 (01) :57-73
[4]   Snow-vegetation relations in a High Arctic ecosystem: Inter-annual variability inferred from new monitoring and modeling concepts [J].
Buus-Hinkler, Jorgen ;
Hansen, Birger U. ;
Tamstorf, Mikkel P. ;
Pedersen, Steen B. .
REMOTE SENSING OF ENVIRONMENT, 2006, 105 (03) :237-247
[5]   Retrieving leaf area index of boreal conifer forests using landsat TM images [J].
Chen, JM ;
Cihlar, J .
REMOTE SENSING OF ENVIRONMENT, 1996, 55 (02) :153-162
[6]  
EIRKSSON J, 2006, REMOTE SENS ENVIRON, V103, P408
[7]   Investigating relationships between Landsat ETM plus sensor data and leaf area index in a boreal conifer forest [J].
Eklundh, L ;
Harrie, L ;
Kuusk, A .
REMOTE SENSING OF ENVIRONMENT, 2001, 78 (03) :239-251
[8]  
Frazer G. W., 1999, GAP LIGHT ANAL IMAGI
[9]  
Hapke B., 1993, THEORY REFLECTANCE E
[10]  
HEISKANEN J, 2006, THEORY REFLECTANCE E, V103, P97