Satellite-derived leaf-area-index and vegetation maps as input to global carbon cycle models-a hierarchical approach

The observed rise of the concentration of carbon dioxide over the last 30 years has intensified interest in the study of the global carbon cycle. The key role of vegetation in this cycle is clearly demonstrated by the semi-annual variations of the carbon dioxide concentration in a given hemisphere....

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Bibliographic Details
Published in:International journal of remote sensing 1986-02, Vol.7 (2), p.265-281
Main Authors: BADHWAR, GAUTAM D., MACDONALD, ROBERT B.
Format: Article
Language:English
Subjects:
Agricultural and forest climatology and meteorology. Irrigation. Drainage
Agricultural and forest meteorology
Agronomy. Soil science and plant productions
Animal, plant and microbial ecology
Biological and medical sciences
Climatology, meteorology
Earth Resources And Remote Sensing
Fundamental and applied biological sciences. Psychology
General agronomy. Plant production
General aspects. Techniques
Generalities. Biometrics, experimentation. Remote sensing
Generalities. Techniques. Climatology. Meteorology. Climatic models of plant production
Remote sensing
Teledetection and vegetation maps
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Summary:The observed rise of the concentration of carbon dioxide over the last 30 years has intensified interest in the study of the global carbon cycle. The key role of vegetation in this cycle is clearly demonstrated by the semi-annual variations of the carbon dioxide concentration in a given hemisphere. The primary variables of interest are the net primary productivity and the biomass on a global scale and the key to their estimation is the leaf-area index (LAI). A global determination of the LAI is practical only with remote-sensing satellite systems. A hierarchical approach to obtaining a LAI map of deciduous boreal forests, which contain a significant part of the total global carbon reservoir using satellite data is presented. The results show that it is very important to understand the nature of the basic physical interaction of solar radiation with canopy biophysical characteristics, if meaningful estimates of these variables are to be made. This understanding has been achieved using ground, helicopter and aircraft measurements made very near to the area covered by the LANDSAT satellite.
ISSN:0143-1161
1366-5901
DOI:10.1080/01431168608954680