Harmonization of GEOV2 fAPAR time series through MODIS data for global drought monitoring

Author:

Cammalleri C.,Verger A.ORCID,Lacaze R.ORCID,Vogt J.V.ORCID

Funder

Joint Research Centre

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference30 articles.

1. LAI, fAPAR and FCover CYCLOPES global products derived from VEGETATION: part 1: principles of the algorithm;Baret;Remote Sens. Environ.,2007

2. The fundamental theory of exponential smoothing;Brown;Operat. Res.,1961

3. Quality Assessment Report: LAI, FAPAR, FCOVER from PROBA-V Collection 1km, Version 2, Issue I1.20;Camacho,2018

4. Non-stationarity in MODIS fAPAR time-series and its impact on operational drought detection;Cammalleri;Int. J. Remote Sens.,2018

5. Intercomparison of fraction of absorbed photosynthetically active radiation products derived from satellite data over Europe;D’Odorico;Remote Sens. Environm.,2014

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1. A Method for Identifying Abnormal Risk Points in Electricity Market Prices Based on Time Series Decomposition;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

2. GEOV2: Improved smoothed and gap filled time series of LAI, FAPAR and FCover 1 km Copernicus Global Land products;International Journal of Applied Earth Observation and Geoinformation;2023-09

3. DROUGHT MONITORING FROM 2001–2019 IN NORTHEAST THAILAND USING MODIS NDVI IMAGE TIME SERIES AND Savitzky-Golay APPROACH;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-04-21

4. Estimating Global GPP From the Plant Functional Type Perspective Using a Machine Learning Approach;Journal of Geophysical Research: Biogeosciences;2023-04

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