[1]曹 林,阮宏华*,代劲松,等.基于HJ-1A/1B CCD数据的区域银杏生物量估测及碳密度制图[J].南京林业大学学报(自然科学版),2013,37(02):008-14.[doi:10.3969/j.issn.1000-2006.2013.02.002]
 CAO Lin,RUAN Honghua*,DAI Jinsong,et al.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 Science Edition),2013,37(02):008-14.[doi:10.3969/j.issn.1000-2006.2013.02.002]
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基于HJ-1A/1B CCD数据的区域银杏生物量估测及碳密度制图
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
37
期数:
2013年02期
页码:
008-14
栏目:
森林生态系统碳储量及碳密度研究专栏
出版日期:
2013-03-31

文章信息/Info

Title:
The regional biomass estimation and carbon density mapping of Ginkgo biloba based on HJ-1A/1B CCD satellite image
作者:
曹 林1 阮宏华1* 代劲松1李 群2
1.南京林业大学森林资源与环境学院,江苏 南京 210037;
2. 泰兴市林业局,江苏 泰兴 225400
Author(s):
CAO Lin1 RUAN Honghua1* DAI Jinsong1 LI Qun2
1.College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China; 2. Taixing Bureau of Forest, Taixing 225400, China
关键词:
泰兴银杏 蓄积量 生物量 碳密度 遥感 回归模型
Keywords:
Taixing ginkgo volume biomass carbon density remote sensing regression model
分类号:
S718
DOI:
10.3969/j.issn.1000-2006.2013.02.002
文献标志码:
A
摘要:
传统的生物量地面测定通过抽样估计的方法放大尺度, 但误差较大且无法获得连续的空间分布信息。笔者以江苏泰兴银杏林地为对象,通过处理和分析我国自主研发的中等分辨率HJ-1A/1B 卫星CCD数据,基于植被敏感波段及特征分量提取了银杏林地,然后结合地面样地调查估测蓄积量; 在综合分析比较单因素及多因素回归模型统计结果参数的基础上(多因素模型决定系数较高,为0.72; 均方根误差较小,为0.18),选定多因素回归模型作为银杏蓄积量估测方法,通过地区生物量扩散因子估测银杏总生物量为745 144.14 t,进一步推算总碳储量和碳密度并制图。结果表明:泰兴市2010年的银杏总蓄积量达到预期发展目标,但碳密度相对较低且空间分布不均,应该通过扩大栽培面积,加强中幼龄林抚育,推广农林复合经营模式等提高银杏林的固碳能力,充分发挥其增汇潜力。
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.

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备注/Memo

备注/Memo:
收稿日期:2012-11-10 修回日期:2012-12-25
基金项目:国家林业公益性行业科研专项项目(200804006)
第一作者:曹林,讲师,博士生。*通信作者:阮宏华,教授。E-mail: hruan1690@yahoo.com。
引文格式:曹林, 阮宏华,代劲松,等. 基于HJ-1A/1B CCD数据的区域银杏生物量估测及碳密度制图[J]. 南京林业大学学报:自然科学版,2013,37(2):8-14.
更新日期/Last Update: 2013-03-31