Modeling aboveground biomass in dense tropical submontane rainforest using airborne laser scanner data

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dc.contributor.authorHansen, Endre Hofstad
dc.contributor.authorGobakken, Terje
dc.contributor.authorBollandsås, Ole Martin
dc.contributor.authorZahabu, Eliakimu
dc.contributor.authorNæsset, Erik
dc.date.accessioned2022-06-08T09:08:29Z
dc.date.available2022-06-08T09:08:29Z
dc.date.issued2015-01-14
dc.description.abstractSuccessful implementation of projects under the REDD+ mechanism, securing payment for storing forest carbon as an ecosystem service, requires quantification of biomass. Airborne laser scanning (ALS) is a relevant technology to enhance estimates of biomass in tropical forests. We present the analysis and results of modeling aboveground biomass (AGB) in a Tanzanian rainforest utilizing data from a small-footprint ALS system and 153 field plots with an area of 0.06–0.12 ha located on a systematic grid. The study area is dominated by steep terrain, a heterogeneous forest structure and large variation in AGB densities with values ranging from 43 to 1147 Mg·ha −1 , which goes beyond the range that has been reported in existing literature on biomass modeling with ALS data in the tropics. Root mean square errors from a 10-fold cross-validation of estimated values were about 33% of a mean value of 462 Mg·ha −1 . Texture variables derived from a canopy surface model did not result in improved models. Analyses showed that (1) variables derived from echoes in the lower parts of the canopy and (2) canopy density variables explained more of the AGB density than variables representing the height of the canopy.en_US
dc.identifier.issn2072-4292
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/4218
dc.language.isoenen_US
dc.publisherMDPI [Commercial Publisher]en_US
dc.relation.ispartofseriesRemote Sens.;doi:10.3390/rs70100788
dc.subjectaboveground biomass;en_US
dc.subjectairborne laser scanning;en_US
dc.subjectnopy surface;en_US
dc.subjectLiDAR;en_US
dc.subjecttexture variables;en_US
dc.subjecttropical rainforesten_US
dc.titleModeling aboveground biomass in dense tropical submontane rainforest using airborne laser scanner dataen_US
dc.typeArticleen_US
dc.urlhttp://www.mdpi.com/journal/remotesensingen_US

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