[Sun, Hua; Lin, Hui] CSUFT, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China.
通讯机构：
[Ling, Chengxing] C
CAF, IFRIT, Beijing 100091, Peoples R China.
语种：
英文
关键词：
Wetland;Above-Ground Biomass;Remote sensing;Worldview-2 Data;Estimation Model
期刊：
2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014)
ISSN：
2380-8039
年：
2014
会议名称：
3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA)
会议论文集名称：
International Workshop on Earth Observation and Remote Sensing Applications
会议时间：
JUN 11-14, 2014
会议地点：
Changsha, PEOPLES R CHINA
会议主办单位：
[Ling, Chengxing;Zhang, Huaiqing;Ju, Hongbo;Liu, Hua] CAF, IFRIT, Beijing 100091, Peoples R China.^[Sun, Hua;Lin, Hui] CSUFT, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China.
会议赞助商：
Cent S Univ Forestry & Technol Univ, Cent S Univ, Hunan Univ Sci & Technol, Indiana State Univ, IEEE Geoscience & Remote Sensing Soc, Int Soc Photogrammetry & Remote Sensing, Grp Earth Observat, Nat Sci Fdn China
主编：
Weng, Q Gamba, P Xian, G Wang, G Zhu, J
出版地：
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者：
IEEE
ISBN：
978-1-4799-4184-1
机构署名：
本校为其他机构
院系归属：
林学院
摘要：
This paper discusses the relationship between vegetation index and the above-ground biomass(AGB) of wetland and gets the AGB distribution in the study area, based on the Worldview-2 data and filed sampling data, establishing the East Dong Ting lake as the study area. The results shows that, multiple linear regression model (MLRM) test is significant (hitting a level of 0.000), while the model correlation coefficient is 0.9567, fitting accuracy reaches 34.5g/m(2). The MLRM prediction results has an error of 56.4 g/m(2), the determine coefficient is 0.9011, estimation of AGB total to 27.3418 t/h...
