USING SPOT 6 TO ESTIMATE BIOMASS AND CARBON STOCKS OF PINUS MERKUSII PLANTATION IN DINH HAI COMMUNE, THANH HOA PROVINCE


Authors

  • Nguyen Huu Nghia Vietnam National University of Forestry
  • Nguyen Hai Hoa Vietnam National University of Forestry
  • Le Thanh An Vietnam National University of Forestry
  • Tran Thi Ngoc Lan Vietnam National University of Forestry
  • Amena Easmin Stamford University of Bangladesh, Bangladesh
  • Nguyen Thi Minh Tu Vietnam National University of Forestry

Keywords:

Biomass, carbon stocks, carbon trading, PFES, SPOT 6, Tinh Gia Protection Forest

Abstract

This study describes how the Inverse Distance Weighted Interpolation (IDW) in combination with the field-based survey and 2015 SPOT 6 data are applied to estimate biomass and carbon stocks of Pinus merkusii plantation in Dinh Hai commnue, Tinh Gia district, Thanh Hoa province. The construction of current map of Pinus merkusii shows that there is 87.0% of accuracy and accuracy asessment of interpolated maps of biomass and carbon stocks are over 83.0 %, showing this IWD interpolation is reliable and can be applicable in Dinh Hai commune. As a result, the total carbon stocks is estimated at about 1,959,622.4 tons, equivalent to 221,497,194,300 VND in Dinh Hai. Although having high values and potential for carbon stocks trading, the Payments for Forest Environmental Services (PFES) have not been implemented in Tinh Gia district yet. This study also has presented solutions for PFES implementation in Tinh Gia, thus enhancing local livelihoods.

Metrics

Metrics Loading ...

Downloads

Abstract View: 15
PDF Downloaded: 3

Published

27-10-2017

How to Cite

Huu Nghia, N., Hai Hoa, N., Thanh An, L., Thi Ngoc Lan, T., Easmin, A., & Thi Minh Tu, N. (2017). USING SPOT 6 TO ESTIMATE BIOMASS AND CARBON STOCKS OF PINUS MERKUSII PLANTATION IN DINH HAI COMMUNE, THANH HOA PROVINCE. Journal of Forestry Science and Technology, (5), 084–094. Retrieved from https://jvnuf.vjst.net/en/article/view/1163

Issue

No. 5 (2017)

Section

Resource management & Environment

Most read articles by the same author(s)

<< < 1 2 3 > >>