IMHE OpenIR  > 数字山地与遥感应用中心
HJ-1B CCD2与SPOT4 HRVIR数据在森林地上生物量反演中的比较分析
Alternative TitleComparative Analysis of HJ-1B CCD2 and SPOT4 HRVIR Data for Aboveground Biomass Estimation in Forest Stands
靳华安1; 李爱农1; 边金虎1,2; 雷光斌1
Corresponding Author李爱农
2016
Source Publication武汉大学学报(信息科学版)
ISSN1671-8860
Volume41Issue:11Pages:1483-1490
Other Abstract

以贡嘎山地区为研究区,选取HJ-1BCCD2和SPOT4HRVIR为数据源,结合地面同步实测数据,分别采用植被指数法和主成分分析法对森林地上生物量进行估算,并基于交叉验证的方法对比分析了两种传感器估算贡嘎山森林地上生物量的效果:针对单一植被指数,基于比值植被指数构建的生物量反演模型明显优于其他植被指数,且HJ-1BCCD2的表现好于SPOT4HRVIR;在联合多种植被指数建立的生物量反演模型方面,两种数据源的估算能力基本相当,交叉验证的相关系数分别为0.545 8和0.563 4,均方根误差分别为27.811 4t·ha和27.169 6t·ha;主成分分析法则为HJ-1BCCD2传感器的表现优于SPOT4HRVIR。

;

The paper presents a method for estimating the aboveground biomass of forest stands using vegetation index and principle component analysis methods; and in a case study in the Mt. Gongga region, combines remote sensing data (HJ-1B CCD2 and SPOT4 HRVIR) with field measurements to evaluate the method. The accuracies of aboveground biomass estimation were assessed through the cross validation method, and comparative analysis was done for HJ-1B CCD2 and SPOT4 HRVIR sensors in order to evaluate their abilities and differences on the estimation of aboveground biomass in forest stands. The results showed that the retrieval model of aboveground biomass based on the simple ratio vegetation index performed better than other vegetation indices, and the performance of HJ-1B CCD2 was superior to SPOT4 HRVIR in a single linear regression model. As for the model of biomass estimation using multiple vegetation indices, their differences on the estimation of aboveground biomass were not apparent, according to the results of cross validation for HJ-1B CCD2 (r: 0.5458; RMSE: 27.8114 t·ha) and SPOT4 HRVIR sensors (r: 0.5634; RMSE: 27.1696 t·ha). Moreover, the performance of HJ-1B CCD2 was better than SPOT4 HRVIR for the principle component analysis method. In general, both of HJ-1B CCD2 and SPOT4 HRVIR sensors could satisfy the need for aboveground biomass estimation in Mt. Gongga region. Additionally, the results of HJ-1B CCD2 data were found to outperform SPOT4 HRVIR.

KeywordHj-1b Ccd2 Spot4 Hrvir 植被指数 地上生物量 遥感反演
Subject AreaS771.8 ; S718.556
DOI10.13203/j.whugis20140594
Indexed ByEI ; CSCD ; 北大中文核心
Language中文
CSCD IDCSCD:5886299
Funding Organization国家自然科学基金(41301385,41271433,41571373) ; 中国科学院“百人计划”(110900K242) ; 中国科学院战略性先导科技专项(XDA05050105)~~
Accession numberAccession number:20164703043869
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/17728
Collection数字山地与遥感应用中心
Affiliation1.中国科学院、水利部成都山地灾害与环境研究所
2.中国科学院大学
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
靳华安,李爱农,边金虎,等. HJ-1B CCD2与SPOT4 HRVIR数据在森林地上生物量反演中的比较分析[J]. 武汉大学学报(信息科学版),2016,41(11):1483-1490.
APA 靳华安,李爱农,边金虎,&雷光斌.(2016).HJ-1B CCD2与SPOT4 HRVIR数据在森林地上生物量反演中的比较分析.武汉大学学报(信息科学版),41(11),1483-1490.
MLA 靳华安,et al."HJ-1B CCD2与SPOT4 HRVIR数据在森林地上生物量反演中的比较分析".武汉大学学报(信息科学版) 41.11(2016):1483-1490.
Files in This Item:
File Name/Size DocType Version Access License
HJ-1B CCD2与SPOT4 HRV(3157KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[靳华安]'s Articles
[李爱农]'s Articles
[边金虎]'s Articles
Baidu academic
Similar articles in Baidu academic
[靳华安]'s Articles
[李爱农]'s Articles
[边金虎]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[靳华安]'s Articles
[李爱农]'s Articles
[边金虎]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: HJ-1B CCD2与SPOT4 HRVIR数据在森林地上生物量反演中的比较分析.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.