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Fig. 1 | Carbon Balance and Management

Fig. 1

From: Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago

Fig. 1

Overview of the methodology used to map vegetation carbon stocks throughout Hawaii: a, b the Hawaii State GAP vegetation map [34] provided a geospatial guide for sampling Hawaii Island with airborne Light Detection and Ranging (LiDAR). The LiDAR data were converted to maps of top-of-canopy height (TCH). c A diverse array of satellite-based environmental maps were compiled to provide continuous geographic information on vegetation cover, topographic variables, and climate. d The satellite and LiDAR data were processed through a geostatistical model based on the Random Forest Machine Learning (RFLM) approach [54] to develop multi-island, statewide maps of TCH at 30 m spatial resolution. The statewide TCH map was converted to estimates of aboveground carbon density (ACD) using a universal plot-aggregate approach [26]. The modeling process included an estimate of uncertainty on each 30 m grid cell for the entire State of Hawaii

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