Sampling methodology for LAI measurements with LAI-2000 in small forest stands

Agricultural and Forest Meteorology

Volumn 101, Issue 4, 2000, Pages 247-250

  Nackaerts, Kris ^a   Coppin, Pol ^a   Muys, Bart ^a   Hermy, Martin ^a  

^a Proteomics   (Belgium)

Author keywords

Leaf Area Index; Monte Carlo simulation; Relative accuracy; Sampling scheme

Indexed keywords

LEAF AREA INDEX; METHODOLOGY; SAMPLING;

EUROPE;

EID: 0034640016     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1923(00)00090-3     Document Type: Article

References (7)

1. Chen J.M. Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands. Agric. For. Meteorol. 80:1996;135-163.
2. Chen J.M., Black T.A., Adams R.S. Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand. Agric. For. Meteorol. 56:1991;129-143.
3. Goodchild M.F. Algorithm 9: simulation of autocorrelation for aggregate data. Environ. Planning A. 12:1980;1073-1081.
4. Heuvelink, G.B.M., 1998. Error Propagation in Environmental Modelling With GIS. Taylor & Francis, London, pp. 40-42.
5. LI-COR, 1992. LAI-2000 Plant Canopy Analyzer: Instruction Manual. Lincoln, Nebraska, LI-COR, Inc.
6. Stenberg, P., 1996. Correcting LAI-2000 estimates for the clumping of needles in shoots of conifers. Agric. For. Meteorol. 79 (1-2), 1-8.
7. Welles, J.M., 1990. Some indirect methods of estimating canopy structure. In: Goel, N.S., Norman, J.M. (Eds.), Remote Sensing Reviews Issue 1: Instrumentation for Studying Vegetation Canopies for Remote Sensing in Optical and Thermal Infrared Regions. Hardwood Academic Publishers, UK, pp. 45-60.