Abstract
The objectives of this study are to: (1) evaluate accuracy of tree height measurements of manual stereo viewing on a computer display using digital aerial photographs compared with airborne LiDAR height measurements; and (2) develop an empirical model to estimate stand-level aboveground biomass with variables derived from manual stereo viewing on the computer display in a Cambodian tropical seasonal forest. We evaluate observation error of tree height measured from the manual stereo viewing, based on field measurements. RMSEs of tree height measurement with manual stereo viewing and LiDAR were 1.96 m and 1.72 m, respectively. Then, stand-level aboveground biomass is regressed against tree height indices derived from the manual stereo viewing. We determined the best model to estimate aboveground biomass in terms of the Akaike’s information criterion. This was a model of mean tree height of the tallest five trees in each plot (R2 = 0.78; RMSE = 58.18 Mg/ha). In conclusion, manual stereo viewing on the computer display can measure tree height accurately and is useful to estimate aboveground stand biomass.
Highlights
Reducing emissions from deforestation and forest degradation in developing countries, especially in tropical regions, is recognized as a way to mitigate climate change
Aboveground biomass was regressed against indices calculated from height measurements using by manual stereo viewing using digital aerial photographs
We investigated the accuracy of tree height measurement and aboveground biomass estimation of manual stereo viewing for a tropical seasonal forest
Summary
Reducing emissions from deforestation and forest degradation in developing countries, especially in tropical regions, is recognized as a way to mitigate climate change. An appropriate framework to reduce deforestation and forest degradation is needed [2]. Reducing emissions from deforestation and forest degradation, and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+), is one example of a framework for climate change mitigation. REDD+ is expected to establish incentives for developing countries to protect and better manage their forest resources, by creating and recognizing financial value for the additional carbon stored in trees or not emitted to the atmosphere [3]. REDD+ activities must be based on scientifically robust forest monitoring systems [4]
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