太阳成8722(中国)有限公司-GREEN NO.1

标题: Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data

作者: Zhang, ZJ (Zhang, Zhijiang); Zhao, L (Zhao, Lin); Lin, AW (Lin, Aiwen)

来源出版物: REMOTE SENSING 卷: 12 期: 12 文献号: 1927 DOI: 10.3390/rs12121927 出版年: JUN 2020

摘要: Accurate and reliable estimation of gross primary productivity (GPP) is of great significance in monitoring global carbon cycles. The fraction of absorbed photosynthetically active radiation (FAPAR) and vegetation index products of the Moderate Resolution Imaging Spectroradiometer (MODIS) are currently the most widely used data in evaluating GPP. The launch of the Ocean and Land Colour Instrument (OLCI) onboard the Sentinel-3 satellite provides the FAPAR and the OLCI Terrestrial Chlorophyll Index (OTCI) products with higher temporal resolution and smoother spatial distribution than MODIS, having the potential to monitor terrain GPP. OTCI is one of the red-edge indices and is particularly sensitive to canopy chlorophyll content related to GPP. The purpose of the study is to evaluate the performance of OLCI FAPAR and OTCI for the estimation of GPP across seven biomes in 2017-2018. To this end, OLCI FAPAR and OTCI products in combination with insitu meteorological data were first integrated into the MODIS GPP algorithm and in three OTCI-driven models to simulate GPP. The modeled GPP (GPP(OLCI-FAPAR)and GPP(OTCI)) were then compared with flux tower GPP (GPP(EC)) for each site. Furthermore, the GPP(OLCI-FAPAR)and GPP derived from the MODIS FAPAR (GPP(MODIS-FAPAR)) were compared. Results showed that the performance of GPP(OLCI-FAPAR)was varied in different sites, with the highest R(2)of 0.76 and lowest R(2)of 0.45. The OTCI-driven models that include APAR data exhibited a significant relationship with GPP(EC)for all sites, and models using only OTCI provided the most varied performance, with the relationship between GPP(OTCI)and GPP(EC)from strong to nonsignificant. Moreover, GPP(OLCI-FAPAR)(R-2= 0.55) performed better than GPP(MODIS-FAPAR)(R-2= 0.44) across all biomes. These results demonstrate the potential of OLCI FAPAR and OTCI products in GPP estimation, and they also provide the basis for their combination with the soon-to-launch Fluorescence Explorer satellite and their integration with the Sentinel-3 land surface temperature product into light use models for GPP monitoring at regional and global scales.

入藏号: WOS:000550338900001

语言: English

文献类型: Article

作者关键词: gross primary productivity; MODIS FAPAR; OLCI FAPAR; OLCI Terrestrial Chlorophyll Index; eddy covariance

地址: [Zhang, Zhijiang; Zhao, Lin; Lin, Aiwen] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

通讯作者地址: Lin, AW (corresponding author)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: zhangzhijiang@whu.edu.cn; linzhao@whu.edu.cn; awlin@whu.edu.cn

影响因子：4.509