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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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Published in: | Australian forestry 2014-04, Vol.77 (2), p.92-104 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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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. |
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ISSN: | 2325-6087 0004-9158 2325-6087 |
DOI: | 10.1080/00049158.2014.924170 |