20 October 2015 Estimation of regional-scale forest resources using ICESat/GLAS spaceborne lidar
Author Affiliations +
Abstract
Recently, the demand of forest resources monitoring technology on a large scale is growing, and spaceborne LiDAR is expected to provide a means for accurate monitoring. This study aims to clarify the potential of ICESat/GLAS spaceborne LiDAR for forest resources monitoring on a regional scale. The study areas were Hokkaido Island in Japan (cool-temperate forest), Borneo Island (tropical forest), and Siberia (boreal forest). Firstly, we conducted field measurements in Hokkaido and Borneo, and calculated the average canopy height (Lorey’s height) and the above-ground biomass (AGB) for each GLAS-footprint. Then, we developed some models to estimate canopy height and AGB from the GLAS waveform parameters based on the field measurement data. Next, we applied the developed models to the GLAS data in Hokkaido and Borneo. The average canopy height and AGB were 17.8 m and 119.4 Mg ha-1, respectively, in Hokkaido, and 16.2 m and 190.2 Mg ha-1, respectively, in Borneo. These results suggest that the tropical forest in Borneo has a higher biomass than the cool-temperate forest in Hokkaido. Furthermore, we applied the estimation model to the GLAS data acquired in Siberia. The average AGB was 86.2 Mg ha-1, and it has decreased especially in Southern area of Western Siberia. This study showed that spaceborne LiDAR had an ability of forest resources monitoring on a regional scale, for each of boreal, cool-temperate, and tropical forests.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masato Hayashi, Masato Hayashi, Nobuko Saigusa, Nobuko Saigusa, Habura Borjigin, Habura Borjigin, Yoshito Sawada, Yoshito Sawada, Yoshiki Yamagata, Yoshiki Yamagata, Takashi Hirano, Takashi Hirano, Kazuhito Ichii, Kazuhito Ichii, } "Estimation of regional-scale forest resources using ICESat/GLAS spaceborne lidar", Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 96440V (20 October 2015); doi: 10.1117/12.2194249; https://doi.org/10.1117/12.2194249
PROCEEDINGS
6 PAGES


SHARE
Back to Top