2021 |
Rizal, Muhammad; Saleh, Muhammad Buce; Prasetyo, Lilik B Biomass Estimation Model For Peat Swamp Forest Ecosystem Using LiDAR (Light Detection And Ranging) Journal Article In: TELKOMNIKA, vol. 19, no. 3, 2021, ISSN: 2302-9293. Abstract | Links | BibTeX | Tags: biomass, LiDAR, peat swamp @article{Rizal2021,Peat swamp forest plays avery important role in absorbing and storing large amounts of terrestrial carbon, both above ground and in the soil. There has been a lot of research on the estimation of the amount of biomass above the ground, but a little on peat swamp ecosystems using LIDAR technology, especially in Indonesia. The purpose of this study is to build a biomass estimation model based on LIDAR (Light Detection and Ranging) data. This technology can obtain information about the structure and characteristics of any vegetation in detail and in real time. Data was obtained from the East Kotawaringin Regency, Central Kalimantan. Biomass field was generated from the available allometry, and Point cloud of LiDAR was extracted into Canopy Cover (CC), and data on tree height, using the FRCI and Local Maxima (LM) method, respectively. The CC and tree height data were then used as independent variables in building the regression model. The best-fitted model was obtained after the scoring and ranking of several regression forms such as linear, quadratic, power, exponential and logarithmic. This research concluded that the quadratic regression model, with R2 of 72.16% and RMSE (Root Mean Square Error) of 0.0003% is the best-fitted estimation model (BK). Finally, the biomass value from the models was 244.510 tons/ha. |
2019 |
Nuraeni, Siti; Rushayati, Siti Badriyah; Setiawan, Yudi vol. 11372, SPIE, 2019. Abstract | Links | BibTeX | Tags: biomass, carbon deposit @conference{Nuraeni2019,Increased carbon dioxide in the atmosphere causes the surface temperature of the earth to warm up and has a major impact on climate change globally. Plants in the forest as the biggest absorber of carbon dioxide used in the process of photosynthesis, then the results are stored in the form of biomass in plant organ tissues. The purpose of the study was to estimate biomass and carbon storage in the Mount Tampomas Protected Forest Area in Sumedang, West Java. Mount Tampomas protected forest area is divided into areas dominated by pine plant species (Pinus merkusii) and mixed jungles. In the two regions the NDVI class was classified into 5 classes as the basis for calculating the stand density, biomass and carbon storage. The relationship between NDVI classes and stand densities can be demonstrated by linear and quadratic regression models. The quadratic regression model has r of 0.79 while the linear regression model of 0.78. Quadratic regression model is the best model to connect the NDVI class and stand density, where the NDVI class and stand density are very strongly related. The total biomass and carbon deposits sequentially in protected forest areas dominated by pine are 132,613.79 tons and 62,328.48 tons C, while the total biomass and carbon deposits sequentially in mixed forest protected areas are 64,682.95 tons and 30,400.99 tons C, so that the total biomass and carbon storage sequentially in the Mount Tampomas Protected Forest Area are 197,296.74 tons and 92,729.47 tons C. |
2021 |
Biomass Estimation Model For Peat Swamp Forest Ecosystem Using LiDAR (Light Detection And Ranging) Journal Article In: TELKOMNIKA, vol. 19, no. 3, 2021, ISSN: 2302-9293. |
2019 |
vol. 11372, SPIE, 2019. |
