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Integrating multi-source data for a tropical forest inventory—a case study in the Kon Tum region, Vietnam

Summary This article presents a processing chain for forest volume mapping based on multi-source forest inventory methodology and the existing inventory data collected from the Kon Tum region, Vietnam. The modelling framework for imputing tally tree heights was built based on a mixed-effects height...

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Bibliographic Details
Published in:Australian forestry 2014-04, Vol.77 (2), p.92-104
Main Authors: Muinonen, Eero, Pitkänen, Juho, Hung, Nguyen Phu, Tinh, Mai Van, Eerikäinen, Kalle
Format: Article
Language:English
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Summary:Summary This article presents a processing chain for forest volume mapping based on multi-source forest inventory methodology and the existing inventory data collected from the Kon Tum region, Vietnam. The modelling framework for imputing tally tree heights was built based on a mixed-effects height generalisation model. Mapping of the stem volume was based on nearest neighbour techniques (k -NN) and Landsat TM data after relative calibration with MODIS image material as underlying reference. The use of optical image materials, together with the demanding conditions set by a tropical forest structure, resulted in a moderate root mean square error value (76.6%) for the stem volume. The resulting volume maps, which were based on an objective estimation procedure, create the appropriate model dataset needed for testing the optimal large-scale inventory designs of forthcoming forest inventories that will be carried out in Vietnam.
ISSN:2325-6087
0004-9158
2325-6087
DOI:10.1080/00049158.2014.924170