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Airborne LiDAR-based mapping of tropical forest ACD has also proven highly precise and accurate, with errors recently becoming indistinguishable from those derived from field measurements [14].
In this study, we utilize small footprint airborne lidar data to evaluate the performance of high-resolution mapping of tropical forest structure from satellite layers using popular machine learning algorithms.
Previous studies have shown that estimations from sampling data without considering spatial information could introduce large biases and erroneous spatial representations [1, 2], and thus systematic sampling from remote sensing data is crucial to the accurate mapping of tropical forests at the regional scale.
The CLASlite approach provided highly automated mapping of tropical forest cover, deforestation and degradation from Landsat satellite imagery.
Airborne LiDAR-based mapping of tropical forest ACD has also proven highly precise and accurate, with errors recently becoming indistinguishable from those derived from field measurements [ 14].
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"Maps of tropical deforestation are generally not available outside of the scientific community and government agencies," says Gaveau.
Jessie Henson's "Lawn," a lumpy, irregularly shaped 16-foot-long sculpture on the floor made of patches of various shades of green fabric, is like a three-dimensional topographical map of a tropical island.
Fig. 1 Location map of studied tropical human-modified forests and a reference forest in Taiwan.
This isn't good, but when you look at a map of where tropical cyclones occur every year (see below), you see 85 countries that are constantly battered by these storms.
In this study, our aim is to create a baseline AFCS map of a tropical forest in Asia and to estimate its future AFCS patterns under different forest policy frameworks.
Mapping the aboveground biomass of tropical forests is essential both for implementing conservation policy and reducing uncertainties in the global carbon cycle.
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