The regional biomass estimation and carbon density mapping of Ginkgo biloba based on HJ-1A/1B CCD satellite image

CAO Lin, RUAN Honghua, DAI Jinsong, LI Qun

Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2013, Vol. 37 ›› Issue (02) : 8-14.

PDF(1785450 KB)
南京林业大学学报（自然科学版）
PDF(1785450 KB)
Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2013, Vol. 37 ›› Issue (02) : 8-14. DOI: 10.3969/j.issn.1000-2006.2013.02.002

The regional biomass estimation and carbon density mapping of Ginkgo biloba based on HJ-1A/1B CCD satellite image

  • CAO Lin1, RUAN Honghua1*, DAI Jinsong1, LI Qun2
Author information +
History +

Abstract

The traditional sampling methods of biomass measurement could be used for local data up scaling, but these methods usually imported errors and could’t acquire continuous spatial information. In this paper, the China’s self-developed medium resolution HJ-1A/1B satellite data was processed and analyzed for ginkgo biomass estimation in Taixing, Jiangsu province. First, the Ginkgo biloba stands were extracted by vegetation sensible bands and eigen components. Second, by using the field estimated volume and the eigen components, the multivariate regression models were selected to estimate volume after the comparison of the statistical response co-efficiencies of both the single factor regression and the multivariate regression models(the R2 of multivariate regression models is 0.72; the RMSE is 0.18). Finally, the total amount of biomass(745 144.14 t)was estimated by local BEF(biomass expansion factor), as well as the total amount of carbon storage and carbon density mapping. The results indicated that the total volume of Ginkgo biloba in 2010 had achieved the goal of the anticipated amount, but the carbon density was relatively low and the spatial distribution was inhomogeneous. So, in order to explore the carbon sink potential and increase the carbon sequestration capacity, the local efforts should be placed in increasing the planting area and strengthening young-and middle-age forests tending, as well as popularizing Ginkgo biloba agroforestry model etc.

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
CAO Lin, RUAN Honghua, DAI Jinsong, LI Qun. The regional biomass estimation and carbon density mapping of Ginkgo biloba based on HJ-1A/1B CCD satellite image[J]. Journal of Nanjing Forestry University (Natural Sciences Edition）. 2013, 37(02): 8-14 https://doi.org/10.3969/j.issn.1000-2006.2013.02.002

References

[1] Dixon R K, Solomon A M, Brown S, et al. Carbon pools and flux of global forest ecosystems [J]. Science, 1994, 263(5144):185-190.
[2] Fang J Y, Chen A P, Peng C H, et al. Changes in forest biomass carbon storage in China between 1949 and 1998[J]. Science, 2001, 292(5525):2320-2322.
[3] 曾伟生. 云南省森林生物量与生产力研究[J]. 中南林业调查规划, 2005,24(4):1-3. Zeng W S. Research on forest biomass and productivity in Yunnan [J]. Central South Forest Inventory and Planning, 2005, 24(4):1-3.
[4] 光增云. 河南森林生物量与生产力研究[J]. 河南农业大学学报, 2006,40(5):493-497. Guang Z Y. Study on forest biomass and productivity in Henan [J].Journal of Henan Agricultural University, 2006,40(5):493-497.
[5] 王磊, 丁晶晶, 季永华, 等. 江苏省森林碳储量动态变化及其经济价值评价[J]. 南京林业大学学报:自然科学版, 2010,34(2):1-4. Wang L, Ding J J, Ji Y H,et al. The dynamic carbon storage and economic value assessment of forest in Jiangsu province[J]. Journal of Nanjing Forestry University:Natural Sciences Edition, 2010,34(2):1-4.
[6] 叶金盛, 佘光辉. 广东省森林植被碳储量动态研究[J]. 南京林业大学学报:自然科学版, 2010,34(4):7-11. Ye J S, She G H. Forest carbon dynamics in Guangdong province[J]. Journal of Nanjing Forestry University:Natural Sciences Edition,2010,34(4):7-11.
[7] 耿士锁, 张京祥, 姜华. 江苏省泰兴市生态经济区划研究[J]. 江苏农业科学, 2010(6):626-628. Geng S S, Zhang J X, Jiang H. The research of ecological economical zone dividing in Taixing, Jiangsu province[J]. Jiangsu Agricultural Sciences, 2010(6):626-628.
[8] 董斌, 冯仲科, 杜林芳, 等. 山东省黄河流域森林蓄积量遥感定量估测模型研究[J]. 遥感技术与应用, 2010,25(4):520-524. Dong B, Feng Z K,Du L F, et al. Study on quantitative estimation modeling of forest volume based on remote sensing in the Yellow River basin of Shandong province[J]. Remote Sensing Technology and Application, 2010, 25(4):520-524.
[9] 徐萍, 徐天蜀. 云南高黎贡山自然保护区森林碳储量估测方法的研究[J]. 林业资源管理, 2008(1):69-73. Xu P, Xu T S. Research on the estimation method of carbon storage of the forest in Gaoligongshan Nature Reserve of Yunnan province[J]. Forest Resources Management, 2008(1):69-73.
[10] 李亦秋, 冯仲科, 邓欧, 等. 基于3S技术的山东省森林蓄积量估测[J]. 林业科学, 2009,45(9):85-93. Li Y Q, Feng Z K, Deng O, et al. Forest volume estimate based on 3S technologies in Shandong province[J]. Scientia Silvae Sinicae, 2009,45(9):85-93.
[11] 曹福亮. 中国银杏志[M]. 北京:中国林业出版社, 2007. Cao F L. Chinese Notes of Ginkgo Biloba[M]. Beijing:Chinese Forestry Press,2007.
[12] 袁觉,李群,肖国林,等.浅谈银杏木材的利用与发展[J].林业科技开发,2002,16(2):6-8. Yuan J, Li Q, Xiao G L, et al. The usage and development of ginkgo timber[J]. China Forestry Science and Technology, 2002,16(2):6-8.
[13] 中国林业科学研究院木材工业研究所. 中国主要树种木材物理性质[M].北京:中国林业出版社, 1982. Research Institute of Wood Industry, Chinese Academy of Forestry. Physical Properties of Chinese Main Wood Types. [M]. Beijing:Chinese Forestry Press, 1982.
[14] Streets D G, Jiang K J, Hu X L, et al. Climate change-recent reductions in China’s greenhouse gas emissions[J]. Science, 2001,294(5548):1835-1837.
[15]吴丹,邵全琴,刘纪远,等. 1985—2030年江西泰和县森林植被碳储量的时空动态[J]. 应用生态学报,2011,22(1):41-46. Wu D, Shao Q Q, Liu J Y, et al. Spatiotemporal dynamics of forest carbon storage in Taihe county of Jiangxi province in 1985-2030[J]. Chinese Journal of Applied Ecology, 2011,22(1):41-46.
[16] 赵峰, 李增元, 王韵晟, 等. 机载激光雷达(LiDAR)数据在森林资源调查中的应用综述[J]. 遥感信息, 2008(1):106-110. Zhao F, Li Z Y, Wang Y S, et al. The application of lieder data in forest[J]. Remote Sensing Information, 2008(1):106-110.
[17] 赵丽琼, 张晓丽, 孙红梅. 激光雷达数据在森林参数获取中的应用[J]. 世界林业研究, 2010,23(2):61-64. Zhao L Q,Zhang X L, Sun H M, et al. Application of lieder data to forest parameters estimation[J]. World Forestry Research, 2010,23(2):61-64.
PDF(1785450 KB)

Accesses

Citation

Detail
Sections
Recommended
The full text is translated into English by AI, aiming to facilitate reading and comprehension. The core content is subject to the explanation in Chinese.

Author

Reader

Reviewer

www.nldxb.njfu.edu.cn

Edited ＆ Published by Editorial Department of Nanjing Forestry University(Natural Sciences Edition)
Address： No.159 Longpan Road,Nanjing 210037 Jiangsu,P.R.China
E-mail ：xuebao@njfu.edu.cn , xuebao@njfu.com.cn
Telephone +86-25-85428247,85427076
Distributed by China International Book Trading Corporation P.O. Box 399, Beijing ,P.R. China

/

〈 〉