Estimating forest aboveground biomass using hj-1 satellite ccd and icesat glas waveform data
文献类型：期刊论文
| 作者 | Guo ZhiFeng1,2; Chi Hong1,2,3; Sun GuoQing1,2,4 |
| 刊名 | Science china-earth sciences
 |
| 出版日期 | 2010-12-01 |
| 卷号 | 53页码:16-25 |
| 关键词 | Disaster and environment monitoring and forecast satellite Icesat glas waveform Boreal forest Forest aboveground biomass Multiple linear regression |
| ISSN号 | 1674-7313 |
| DOI | 10.1007/s11430-010-4128-3 |
| 通讯作者 | Guo zhifeng(guozf@irsa.ac.cn) |
| 英文摘要 | The ecosystem in northeastern china and the russian far east is a hotspot of scientific research into the global carbon balance. forest aboveground biomass (agb) is an important component in the land surface carbon cycle. in this study, using forest inventory data and forest distribution data, the agb was estimated for forest in daxinganlin in northeastern china by combining charge-coupled device (ccd) data from the small satellite for disaster and environment monitoring and forecast (hj-1) and geoscience laser altimeter system (glas) waveform data from the ice, cloud and land elevation satellite (icesat). the forest agb prediction models were separately developed for different forest types in the research area at glas footprint level from glas waveform parameters and field survey plot biomass in the changqing (cq) forest center, which was calculated from forest inventory data. the resulted statistical regression models have a r (2)=0.68 for conifer and r (2)=0.71 for broadleaf forests. these models were used to estimate biomass for all glas footprints of forest located in the study area. all glas footprint biomass coupled with various spectral reflectivity parameters and vegetation indices derived from hj-1 satellite ccd data were used in multiple regression analyses to establish biomass prediction models (r (2)=0.55 and r (2)=0.52 for needle and broadleaf respectively). then the models were used to produce a forest agb map for the whole study area using the hj-1 data. biomass data obtained from forest inventory data of the zhuanglin (zl) forest center were used as independent field measurements to validate the agb estimated from hj-1 ccd data (r (2)=0.71). about 80% of biomass samples had an error less than 20 t ha(-1), and the mean error of all validation samples is 5.74 t ha(-1). the pixel-level biomass map was then stratified into different biomass levels to illustrate the agb spatial distribution pattern in this area. it was found that hj-1 wide-swath data and glas waveform data can be combined to estimate forest biomass with good precision, and the biomass data can be used as input data for future carbon budget analysis. |
| WOS关键词 | SYNTHETIC-APERTURE RADAR ; STAND CHARACTERISTICS ; VERTICAL STRUCTURE ; LANDSAT TM ; LIDAR ; BACKSCATTER ; BOREAL ; USA |
| WOS研究方向 | Geology |
| WOS类目 | Geosciences, Multidisciplinary |
| 语种 | 英语 |
| WOS记录号 | WOS:000286000400003 |
| 出版者 | SCIENCE PRESS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2410454 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Guo ZhiFeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 2.Beijing Normal Univ, Inst Remote Sensing Applicat, Chinese Acad Sci, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China 4.Univ Maryland, Dept Geog, College Pk, MD 20742 USA |
| 推荐引用方式 GB/T 7714 | Guo ZhiFeng,Chi Hong,Sun GuoQing. Estimating forest aboveground biomass using hj-1 satellite ccd and icesat glas waveform data[J]. Science china-earth sciences,2010,53:16-25. |
| APA | Guo ZhiFeng,Chi Hong,&Sun GuoQing.(2010).Estimating forest aboveground biomass using hj-1 satellite ccd and icesat glas waveform data.Science china-earth sciences,53,16-25. |
| MLA | Guo ZhiFeng,et al."Estimating forest aboveground biomass using hj-1 satellite ccd and icesat glas waveform data".Science china-earth sciences 53(2010):16-25. |
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来源：中国科学院大学
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