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Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production

文献类型：期刊论文

作者Zhang, Jingru2,7; Xiao, Jingfeng6; Tong, Xiaojuan7; Zhang, Jinsong4,5; Li, Jun3; Liu, Peirong1,7; Yu, Peiyang7; Meng, Ping4,5
刊名ECOLOGICAL INDICATORS
出版日期2024-09-01
卷号166页码:11
关键词Phenology Phenocam Gross primary production Green chromatic coordinate Deciduous broadleaf forest Grassland
ISSN号1470-160X
DOI10.1016/j.ecolind.2024.112251
英文摘要Vegetation phenology serves as an important indicator for climate change and plays a crucial role in affecting the terrestrial water, energy, and carbon cycles. The green chromatic coordinate (GCC) obtained from digital repeat photographs has been widely applied in estimating phenology from the perspective of greenness, while the performance of satellite derived GCC is not well understood. We used flux tower GPP from seven deciduous broadleaf forest (DBF) and three grassland (GRA) sites over the Northern Hemisphere. The aim was to compare phenological events with GCC (obtained from digital repeat photographs and satellite remote sensing (GCC(MODIS))) and the enhanced vegetation index (EVI). Meanwhile, we also explored the performance of these three indices in simulating GPP utilizing the light use efficiency (LUE) model at the DBF and GRA sites. Phenology retrieved by GCC, GCC(MODIS), and EVI was all significantly correlated with GPP-estimated values at all sites (P < 0.001). It indicates the comparable performance of GCC, GCC(MODIS), and EVI in estimating phenological events. The RMSE values between the GPP and three indices-estimated phenological events revealed that the three indices excelled in estimating the start of growing season (SOS) compared to the end of growing season (EOS) and the length of growing season (GSL). In terms of GPP estimation performance, the R-2 values of GCC(MODIS) and EVI-estimated GPP increased by 2 % and 1 %, respectively, compared to GCC-simulated GPP. Meanwhile, the RMSE values for GCC(MODIS) and EVI reduced by 0.08, and the bias values were reduced by 0.06 and 0.12, respectively. This study showed that GCC obtained from satellite remote sensing data could be utilized as an effective tool in extracting phenology and has a great potential to estimate GPP, at least across the DBF and GRA regions.
WOS关键词DIGITAL REPEAT PHOTOGRAPHY ; INDUCED CHLOROPHYLL FLUORESCENCE ; CARBON-DIOXIDE EXCHANGE ; LAND-SURFACE PHENOLOGY ; FOREST PHENOLOGY ; DECIDUOUS FOREST ; GROWING-SEASON ; CLIMATE-CHANGE ; CANOPY COLOR ; INDEXES
资助项目National Natural Science Foundation of China[32271875] ; National Natural Science Foundation of China[31872703] ; National Key R & D Program of China[2020YFA0608101] ; University of New Hampshire through bridge support
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001266850700001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; National Key R & D Program of China ; University of New Hampshire through bridge support
源URL[http://ir.igsnrr.ac.cn/handle/311030/207671]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Tong, Xiaojuan
作者单位1.Chinese Acad Forestry, Res Inst Trop Forestry, Hainan Jianfengling Forest Ecosyst Natl Field Sci, Guangzhou 510520, Peoples R China
2.Zhejiang A&F Univ, Sch Environm & Resources Sci, Hangzhou 311300, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
4.Henan Xiaolangdi Earth Crit Zone Natl Res Stn Midd, Jiyuan 454650, Peoples R China
5.Chinese Acad Forestry, Key Lab Tree Breeding & Cultivat State Forestry Ad, Res Inst Forestry, Beijing 100091, Peoples R China
6.Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA
7.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Jingru,Xiao, Jingfeng,Tong, Xiaojuan,et al. Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production[J]. ECOLOGICAL INDICATORS,2024,166:11.
APA Zhang, Jingru.,Xiao, Jingfeng.,Tong, Xiaojuan.,Zhang, Jinsong.,Li, Jun.,...&Meng, Ping.(2024).Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production.ECOLOGICAL INDICATORS,166,11.
MLA Zhang, Jingru,et al."Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production".ECOLOGICAL INDICATORS 166(2024):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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