USING LANDSAT 8 TO ESTIMATE ABOVEGROUND BIOMASS AND CARBON STOCKS IN XUAN THUY NATIONAL PARK, NAM DINH PROVINCE

Authors

  • Hai Hoa Nguyen Environmental Engineering Dept, Vietnam National University of Forestry
  • Dinh Quang Tuan Vietnam National University of Forestry
  • Duong Trung Hieu North East College of Agriculture and Forestry

Keywords:

Aboveground biomass (AGB),, carbon stocks, Landsat 8, Xuan Thuy National Park

Abstract

Mangroves is considered as one of the most important carbon sinks in the
tropic and their roles are wellknown as preventing coastal shoreline
erosion and mitigating impacts of storms and wave actions. The
productivity of mangroves could be evaluated by estimating their biomass
and carbon stocks. Nowadays, a various number of methods are used to
estimate mangrove biomass and carbon stocks and one of them is
commonly used as the remotely-sensed satellite data approach. In this
study, Landsat 8 is used to identify the spatial distribution of mangroves
using NDVI values, then to calculate total of aboveground biomass and
carbon stocks of mangroves in the Xuan Thuy National Park. As a result,
the average of mangrove diameter and height values are measured at
2.80 ± 0.23cm and 3.82 ± 0.52m, respectively. The NDVI values are used
for mangrove classification with the accuracy of 88.3%. In general, the
biomass of mangrove forests in Xuan Thuy National Park is relatively
high, calculated at 62,692.8 ± 192.16 tons and carbon stocks are
calculated as 29,465.6 ± 90.32 tons.

References

1. Alongi, D.M, 2008. Mangrove forests: Resilience, protection from tsunamis, and responses to global climate change. Estuar. Coast. Shelf Sci 76: 1 - 13.

2. Foody, G.M., Boyd, D.S., Cutler, M.E.J, 2003. Predictve relations of tropical forest biomass from Landsat TM data and their transferability betweem regions. Remote sensing of Environment, 85:463 - 474

3. Hall, R.J., Skakun, R.S., Arsenault, E.J., Case, B.S, 2006. Modelling forest stand structure attributes using ETM+ data: application to mapping of aboveground biomass and stand volume. Forest Ecology and Management 225:378 - 390.

4. Hoque, ATM.R., Sharma, S., Hagihara, A, 2011. Above and Belowground Carbon Acquisition of Mangrove Kandelia obovata trees in Manko Wetland, Okinawa, Japan. International Journal of Environment 1(1): 7 - 13.

5. Houghton, R.A, 2005. Aboveground forest biomass and the global carbon balance. Global Change Biology 11(6):945 - 958.

6. Houghton, R.A., Hackler, J.L, 2001. Carbon Flux to the Atmosphere from Land-Use Changes: 1850 - 1990 (ORNL/CDIAC-131 NDP050/R1). Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN 37831.

7. Komiyama, A., Ong, J.E., Poungparn, S, 2008. Allometry, biomass, and productivity of mangrove forests: a review. Aquat. Bot. 89, 128 - 137.

8. Lu, D, 2005. Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon, International Journal of Remote Sensing 26:2509 - 2525.

9. Khan, M.N.I., Suwa, R., Hagihara, A, 2009. Biomass and aboveground net primary production in a subtropical mangrove stand of Kandelia obovata (S., L.) Yong at Manko Wetland, Okinawa, Japan. Wetlands Ecol. Manage 17: 585 - 599.

10. Kongwongjan, J., Suwanprasit, C., Thongchumnum, P, 2012. Comparison of vegetation indices for mangrove mapping using THEOS data. Proceedings of the Asia-Pacific Advanced Network 33:56 - 64.

11. Saenger, P, 2002. Mangrove Ecology, Silculrue and Conservation. Springer Lick

12. Sandro Federici, 2011. General methods for estimating stock changes in carbon pools. Regional Work: Capacity Development for Sustainable National Greenhouse Gas Inventories- AFOLU sector (CD-REDD II) Programme.

13. Satyanarayana, B., Mohamad, K.A., Idris, I.F., Husain, M., Dahbouh-guebas, F, 2011. Assessment of mangrove vegetation based on remote sensing and ground-truth measurements at Tumpat, Kelantan Delta, East Coast of Peninsular Malaysia. International Journal of Remote Sensing 32(6): 1635 - 1650.

14. Schroeder, P., Brown, S., Mo, J., Birdsey, R., Cieszewski, C, 1997. Biomass estimation for temperate broadleaf forests of the US using inventory data. Forest Science 43:424 - 34.

15. Vashum, K, T., Jayakumar, S, 2012. Methods to Estimate Above-Ground Biomass and Carbon Stock in Natural Forests: A review. Ecosystem and Ecosgraphy 2(4):1 - 7.

16. Vicharnakorn, P., Shrestha, R., Nagai, M., Salam, A,P., Kiratiprayoon, S, 2014. Carbon Stock Assessment Using Remote Sensing and Forest Inventory Data in Savannakhet, Lao PDR. Remote Senssing 6 (6): 5452 -5479.

17. Zians, D., Mencuccini, M, 2004. On simplying allometric analysis of forest biomass. Forest Ecology and Management 187:311 - 332.

Published

23-02-2024

How to Cite

[1]
Nguyen, H.H., Tuan, D.Q. and Hieu, D.T. 2024. USING LANDSAT 8 TO ESTIMATE ABOVEGROUND BIOMASS AND CARBON STOCKS IN XUAN THUY NATIONAL PARK, NAM DINH PROVINCE. VIETNAM JOURNAL OF FOREST SCIENCE. 1 (Feb. 2024).

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