Home > Articles > Published articles > Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data |
Date: | 2020 |
Abstract: | High-quality retrieval of land surface phenology (LSP) is increasingly important for understanding the effects of climate change on ecosystem function and biosphere-atmosphere interactions. We analyzed four state-of-the-art phenology methods: threshold, logistic-function, moving-average and first derivative based approaches, and retrieved LSP in the North Hemisphere for the period 1999-2017 from Copernicus Global Land Service (CGLS) SPOT-VEGETATION and PROBA-V leaf area index (LAI) 1 km V2. 0 time series. We validated the LSP estimates with near-surface PhenoCam and eddy covariance FLUXNET data over 80 sites of deciduous forests. Results showed a strong correlation (R2 > 0. 7) between the satellite LSP and ground-based observations from both PhenoCam and FLUXNET for the timing of the start (SoS) and R2 > 0. 5 for the end of season (EoS). The threshold-based method performed the best with a root mean square error of ~9 d with PhenoCam and ~7 d with FLUXNET for the timing of SoS (30th percentile of the annual amplitude), and ~12 d and ~10 d, respectively, for the timing of EoS (40th percentile). |
Grants: | Ministerio de Ciencia e Innovación PID2019-110521GB-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1005 European Commission 610028 |
Note: | Altres ajuts: MEFP/FPU2015-04798 |
Rights: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. |
Language: | Anglès |
Document: | Article ; recerca ; Versió publicada |
Subject: | Land-surface phenology ; SPOT-VEGETATION ; PROBA-V ; Leaf area index ; PhenoCam ; FLUXNET |
Published in: | Remote sensing (Basel), Vol. 12, Issue 18 (September 2020) , p. 3077, ISSN 2072-4292 |
17 p, 5.2 MB |