作者:Lu, XC (Lu, Xinchen)[ 1 ] ; Cheng, X (Cheng, Xiao)[ 1,2 ] ; Li, XL (Li, Xianglan)[ 1,2 ] ; Chen, JQ (Chen, Jiquan)[ 3 ] ; Sun, MM (Sun, Minmin)[ 1 ] ; Ji, M (Ji, Ming)[ 1 ] ; He, H (He, Hong)[ 1 ] ; Wang, SY (Wang, Siyu)[ 1 ] ; Li, S (Li, Sen)[ 1 ] ; Tang, JW (Tang, Jianwu)[ 4 ]

SCIENCE OF THE TOTAL ENVIRONMENT

卷: 644  页: 439-451

DOI: 10.1016/j.scitotenv.2018.06.269

出版年:DEC 10 2018

摘要

Characterized by the noticeable seasonal patterns of canopy photosynthesis, mid-to-high latitude forests are sensitive to climate change and crucial for understanding the global carbon cycle. To monitor the seasonal cycle of the canopy photosynthesis from space, several remotely sensed indexes, such as normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and leaf area index (LAI) have been implemented within the past decades. Recently, satellite-derived sun-induced fluorescence (SIF) has shown great potential of providing retrievals that are more related to photosynthesis process. However, the potentials of different canopy measurements have not been thoroughly assessed in the context of recent advances of new satellites and proposals of improved indexes. At 15 forested sites, we present a cross-platform intercomparison of one emerging remote sensing based index of phenology index (PI) and two SIF datasets against the conventional indexes such as NDVI, EVI, and LAI to capture the seasonal cycles of canopy photosynthesis. NDVI, EVI, LAI, and PI were calculated from Moderate Resolution Imaging Spectroradiometer (MODIS) measurements, while SIF were evaluated from Global Ozone Monitoring Experiment-2 (GOME-2) and Orbiting Carbon Observatory-2 (OCO-2) observations. Results indicated that GOME-2 SIF was highly correlated with gross primary production (GPP) and absorbed photosynthetically active radiation during the growing seasons. The SIF-GPP relationship can generally be considered linear at the 16-day scale. Key phenological metrics such as start of the seasons and end of the seasons captured by SIF from GOME-2 and OCO-2 matched closely with photosynthesis phenology as inferred by GPP. However, the applications of OCO-2 SIF for phenological studies may be limited only for a small range of sites ( at site-level) due to a limited spatial sampling. Among the MODIS estimations, PI and NDVI provided most reliable predictions of start of growing seasons, while no indexes accurately captured the end of growing seasons. (c) 2018 Elsevier B.V. All rights reserved.

作者信息

通讯作者地址: Cheng, X; Li, XL (通讯作者)

Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.

地址:

[ 1 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 2 ] Beijing Normal Univ, Joint Ctr Global Change & China Green Dev, Beijing 100875, Peoples R China

[ 3 ] Michigan State Univ, Dept Geog, Coll Social Sci, E Lansing, MI 48824 USA

[ 4 ] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA