ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 4, pp. 255-264

Boreal forest mapping on the base of satellite data (nature reserve of Leningrad region)

S.G. Kritsuk 
Scientific Research Centre of Ecology Safety Russian of Academy of Science, Saint-Petersburg, Korpusnaya, 18
Boreal forest mapping by using medium resolution satellite data is associated with the significant difficulties. Satellite measured
reflectances of the forest canopy are highly dependent on the forest canopy architecture and sun elevation. As result simple
methods of the forest mapping by using these features often leads to unsatisfactory results. It is proposed to use the supervise
classification (maximum likelihood classification - MLC) to compile map of vegetation communities (VC map). Training set
has been formed on the basis of field expeditionary data and must contain at least a few dozen objects. Field observation data
should be linked with hierarchical vegetation classification (HVC), based on the key areas forests characteristics. Mapping
process includes the satellite data MLC, class number of which corresponds to the number of training set objects. Then the
classes are combined in accordance with the hierarchical vegetation classification. One of the HVC levels can be used as a rule
of classes combine. For example, in the classification of plant communities on the association - unions - orders - classes you
can choose the level of order. Combined classes - biotopes will be easily named in accordance with HVC.
Biotopes maps of protected areas located in the west of the Leningrad Region - Kurgalsky and Berezovye Islands
Reserves were made up under the support of the Japanese Space Agency JAXA (PI ID 106). There are possible to
distinguish up to 12 forest biotopes (with I and II-errors less than 0.2) on these areas using different season satellite
data in the visible and near infrared bands and L-band radar data with different polarization modes.
Keywords: forest mapping, satellite data, GIS, ALOS
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