Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 705-709, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-705-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Jun 2016
ESTIMATING CARBON STOCK CHANGES OF MANGROVE FORESTS USING SATELLITE IMAGERY AND AIRBORNE LiDAR DATA IN THE SOUTH SUMATRA STATE, INDONESIA
Y. Maeda1, A. Fukushima1, Y. Imai1, Y. Tanahashi2, E. Nakama2, S. Ohta2, K. Kawazoe3, and N. Akune3 1Kokusai Kogyo Co.,Ltd., 2-24-1 Harumicho Fuchu-City Tokyo, Japan
2Japan International Forestry Promotion and Cooperation Center, Rinyu Bldg., 1-7-12 Koraku, Bunkyo-ku, Tokyo, Japan
3YL Forest Co., Ltd., 6-1 Chikkouhonmachi, Hakata-ku, Fukuoka-shi, Japan
Keywords: LiDAR, Satellite imagery, Biomass, Carbon stock change, Mangrove forest Abstract. The purposes of this study were 1) to estimate the biomass in the mangrove forests using satellite imagery and airborne LiDAR data, and 2) to estimate the amount of carbon stock changes using biomass estimated. The study area is located in the coastal area of the South Sumatra state, Indonesia. This area is approximately 66,500 ha with mostly flat land features. In this study, the following procedures were carried out: (1) Classification of types of tree species using Satellite imagery in the study area, (2) Development of correlation equations between spatial volume based on LiDAR data and biomass stock based on field survey for each types of tree species, and estimation of total biomass stock and carbon stock using the equation, and (3) Estimation of carbon stock change using Chronological Satellite Imageries. The result showed the biomass and the amount of carbon stock changes can be estimated with high accuracy, by combining the spatial volume based on airborne LiDAR data with the tree species classification based on satellite imagery. Quantitative biomass monitoring is in demand for projects related to REDD+ in developing countries, and this study showed that combining airborne LiDAR data with satellite imagery is one of the effective methods of monitoring for REDD+ projects.
Conference paper (PDF, 1199 KB)


Citation: Maeda, Y., Fukushima, A., Imai, Y., Tanahashi, Y., Nakama, E., Ohta, S., Kawazoe, K., and Akune, N.: ESTIMATING CARBON STOCK CHANGES OF MANGROVE FORESTS USING SATELLITE IMAGERY AND AIRBORNE LiDAR DATA IN THE SOUTH SUMATRA STATE, INDONESIA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 705-709, https://doi.org/10.5194/isprs-archives-XLI-B8-705-2016, 2016.

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