Vegetation related images for Central Europe derived from Remote Sensing data

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Description:

Anomaly and mean fields are presented during the period of 2000-2022 for:
- the entire years in the case of the meteorological parameters (derived from FORESEE v3.3 and ERA5-Land, with 1/12° x 1/12° and 0.1° x 0.1° spatial resolution, respectively).
- the growing season (April-September) in the case of the MODIS vegetation related products with 500 m x 500 m spatial resolution (C061 for MOD17, and C006 for all others).

 
Yearly anomaly fields
Growing season anomaly fields

Temperature anomaly
(FORESEE)
Precipitation anomaly
(FORESEE)
Soil Water Content
(ERA5-Land)
2nd layer (7-28 cm)
NDVI anomaly
(MOD09A1)
EVI anomaly
(MOD09A1)
LAI anomaly
(MOD15A2H)
fAPAR anomaly
(MOD15A2H)
GPP sum anomaly
(MOD17A2H)
NPP anomaly
(MOD17A3H)
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021  
2022  
* In the case of meteorology the missing data of some stations in the ECA&D database (which were used to create the E-OBS dataset) are visible in the anomaly fields. (E.g. the station of Budapest, for the years in 2021 and 2022)
** In the case of yearly NPP the data for the last years are still not available.

 

 
Yearly mean fields
Growing season mean fields

Mean Temperature
Mean Precipitation
Soil Water Content
Mean NDVI
Mean EVI
Mean LAI
Mean fAPAR
Mean GPP sum
Yearly NPP
Multi-annual
mean
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022  
References:

- Kern, A., Marjanovic, H., Dobor, L., Anic, M., Hlásny, T., Barcza, Z., 2017. Identification of Years with Extreme Vegetation State in Central Europe Based on Remote Sensing and Meteorological Data. South-east European forestry (SEEFOR), 8 (1), 1-20p. (ISSN: 1847-6481, eISSN: 1849-0891) DOI: https://doi.org/10.15177/seefor.17-05

 

 


  Created by: Anikó KERN
  Back to Space Research Group, Department of Meteorology, Eotvos Lorand University
  Last update : 2023.02.22