Arid
DOI10.1109/JSTARS.2014.2342257
Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands
Mu, Xihan1,2; Huang, Shuai1,2; Ren, Huazhong3; Yan, Guangjian1,2; Song, Wanjuan1,2; Ruan, Gaiyan1,2
通讯作者Mu, Xihan
来源期刊IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
EISSN2151-1535
出版年2015
卷号8期号:2页码:439-446
英文摘要

Fractional vegetation cover (FVC) is one of the most important criteria for surface vegetation status. This criterion corresponds to the complement of gap fraction unity at the nadir direction and accounts for the amount of horizontal vegetation distribution. This study aims to directly validate the accuracy of FVC products over crops at coarse resolutions (1 km) by employing field measurements and high-resolution data. The study area was within an oasis in the Heihe Basin, Northwest China, where the Heihe Watershed Allied Telemetry Experimental Research was conducted. Reference FVC was generated through upscaling, which fitted field-measured data with spaceborne and airborne data to retrieve high-resolution FVC, and then high-resolution FVC was aggregated with a coarse scale. The fraction of green vegetation cover product (i.e., GEOV1 FVC) of SPOT/VEGETATION data taken during the GEOLAND2 project was compared with reference data. GEOV1 FVC was generally overestimated for crops in the study area compared with our estimates. Reference FVC exhibits a systematic uncertainty, and GEOV1 can overestimate FVC by up to 0.20. This finding indicates the necessity of reanalyzing and improving GEOV1 FVC over croplands.


英文关键词Coarse resolution fractional vegetation cover product validation SPOT/VEGETATION
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000352277100001
WOS关键词ESSENTIAL CLIMATE VARIABLES ; CYCLOPES GLOBAL PRODUCTS ; LEAF-AREA INDEX ; TIME-SERIES ; LAI PRODUCTS ; PART 2 ; FAPAR ; MODIS ; PRINCIPLES ; FOOTPRINT
WOS类目Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构北京师范大学 ; 北京大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/187799
作者单位1.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Res Ctr Remote Sensing & GIS, Beijing 100875, Peoples R China;
2.Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China;
3.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Mu, Xihan,Huang, Shuai,Ren, Huazhong,et al. Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands[J]. 北京师范大学, 北京大学,2015,8(2):439-446.
APA Mu, Xihan,Huang, Shuai,Ren, Huazhong,Yan, Guangjian,Song, Wanjuan,&Ruan, Gaiyan.(2015).Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(2),439-446.
MLA Mu, Xihan,et al."Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.2(2015):439-446.
条目包含的文件
文件名称/大小 资源类型 版本类型 开放类型 使用许可
Validating GEOV1 Fra(1041KB)期刊论文出版稿开放获取CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Mu, Xihan]的文章
[Huang, Shuai]的文章
[Ren, Huazhong]的文章
百度学术
百度学术中相似的文章
[Mu, Xihan]的文章
[Huang, Shuai]的文章
[Ren, Huazhong]的文章
必应学术
必应学术中相似的文章
[Mu, Xihan]的文章
[Huang, Shuai]的文章
[Ren, Huazhong]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands.pdf
格式: Adobe PDF
此文件暂不支持浏览

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。