Global Monitoring for Environment and Security (GMES) and ... · Version 1.0 Initial Release (2.0.1) November 2015 Version 1.1 Update the THEMA’s table (including ‘Training’)

Global Monitoring for Environment and Security (GMES) and Africa

eStation 2.0 Product Report

Version 2.2.0

November 2019 Date: 20/11/2019 Ref: MESA/DOC/eStation/ProdReport

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Abstract / Résumé

This document lists all the products available on eStation 2.2.0

Name Position

Prepared by Marco Clerici JRC-EC responsible for G&A

Contributions/Reviews by Christophe Lavaysse

Jurriaan Van’t Klooster

Vijay Charan Venkatachalam

JRC-EC thematic Expert for G&A

IT-GIS Specialist

IT-GIS Specialist

Details Date

Version history

Version 1.0 Initial Release (2.0.1) November 2015

Version 1.1 Update the THEMA’s table (including ‘Training’)

Add to the document the description of the standard processing chains

March 2016

Version 1.2 Review all products and update to 2.0.4 release July 2016

Version 2.1 Updated with the latest products and sources, so to reflect the status of version 2.1

June 2017

Version 2.1.1 Update with the products and sources for release eStation 2.1.1

November 2017

Version 2.1.2 Update with the products for release 2.1.2, including Sentinel-3 Marine (OLCI and SST)

January 2019

Version 2.2.0 Updated all products and related sources

Add Thema/product table for GMES&Africa ($3.9)

September 2019

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Contents

1. INTRODUCTION .................................................................................................................... VI

1.1 APPLICABLE AND REFERENCE DOCUMENTS ........................................................................................ VI

1.2 SCOPE OF THE DOCUMENT .............................................................................................................. 1

2. DATASETS DISTRIBUTED ON ESTATION 2.0 ............................................................................. 2

2.1 VEGETATION PRODUCTS ................................................................................................................. 2

Input products ................................................................................................................... 2

2.2 INLAND WATER PRODUCTS ...................................................................................................... 5

Input products ................................................................................................................... 5

2.3 RAINFALL PRODUCTS ................................................................................................................ 6

Input Products ................................................................................................................... 6

Derived Products ............................................................................................................... 6

2.4 FIRE PRODUCTS ............................................................................................................................ 8

Input Products ................................................................................................................... 8

Derived Products ............................................................................................................... 8

2.5 MISCELLANEOUS PRODUCTS ........................................................................................................... 9

Input Products ................................................................................................................... 9

Derived Products ............................................................................................................. 10

2.6 MARINE PRODUCTS ..................................................................................................................... 11

Input Products ................................................................................................................. 11

Derived Products ............................................................................................................. 11

2.7 PRODUCTS SOURCES (EUMETCAST AND INTERNET) ......................................................................... 13

2.8 PRODUCTS ACTIVATED FOR EACH THEMA (MESA) .......................................................................... 19

2.9 PRODUCTS ACTIVATED FOR EACH THEMA (GMES&AFRICA) ............................................................. 21

3. DESCRIPTION OF THE ‘STANDARD’ PROCESSING CHAINS ...................................................... 23

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List of Figures and Tables

Table 1: Applicable documents .............................................................................................................. vi

Table 2: Reference documents .............................................................................................................. vi

Table 3: Active EUMETCast Sources ..................................................................................................... 14

Table 4: EUMETCast sources defined but not used (FTTB) ................................................................... 14

Table 5 : Internet Sources ..................................................................................................................... 18

Table 6: Datasets to be activated for each THEMA/RIC (MESA) ........................................................... 20

Table 7: Datasets to be activated for each THEMA/RIC (GMES) .......................................................... 22

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ACRONYMS and DEFINITIONS

AMESD African Monitoring of Environment for Sustainable Development ACMAD African Centre of Meteorological Applications for Development AGRHYMET Centre Régional de Formation et d’Application en Agrométéorologie et

Hydrologie Opérationnelle AU African Union BDMS Botswana Department of Meteorological Services CICOS Commission Internationale du Bassin Congo-Oubagui-Sangha CWG The MESA Continentalisation Working Group EO Earth Observation EUMETSAT European Organisation for the Exploitation of Meteorological Satellites EUMETCast EUMETSAT’s primary dissemination mechanism for the near real-time delivery

of satellite data and products FTP File Transfer Protocol GIS Geographical Information System IOC Indian Ocean Commission JRC Joint Research Centre of the European Commission MESA Monitoring for Environment and Security in Africa MOI Mauritius Oceanography Institute REC Regional Economic Communities RIC Regional Implementation Centre TA Technical Assistance TAT Technical Assistance Team THEMA Regional and Continental Thematic Actions

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1. INTRODUC TION

1.1 APPL ICA BLE A ND RE FERE N CE DOCUME NT S

Id Title Date Reference

AD-1

AD-2

AD-3

AD-4

Table 1: Applicable documents

Id Title Date Reference

RD-1 eStation 2.0 User Manual January 2019 MESA/DOC/eStation/UserManual

RD-2 eStation 2.0 Administration Manual January 2019 MESA/DOC/eStation/AdminManual

RD-3

Table 2: Reference documents

eStation 2.0 – Product Report Page 1

1.2 SCOPE O F THE DOC UMEN T

This document describes all EO products processed and visualized on the eStation 2.0, release 2.2.0, which is delivered as part of the MESA Station. It is meant mainly for the thematic expert making use of the system.


2. DATASE TS DISTRIBUTE D ON ESTA TION 2.0

The following tables contain the products treated on the eStation: firstly, the input products are listed, followed by the derived products computed by each processing chain. The reference period for the computation of LTA (Long Term Anomalies) is also indicated: normally, it corresponds to the whole datasets length, and is therefore longer then the temporal extension of timeseries locally available on the stations.

2.1 VEGET AT ION PRO DUC T S

The products indicated in grey correspond to previous versions, which are still available on the eStation 2.2.0 but not automatically activated.

Input products

Product code Version Ingested sub-product Description Coverage Period for LTA Ref vgt-ndvi sv2-pv2.21 ndv NDVI from CGLS (1km) Africa 1999-2017 link vgt-ndvi proba300-v1.0 ndv NDVI from CGLS at 300m Africa vgt-fapar V1.4 fapar Fapar from CGLS (1km) Africa vgt-fapar V2.0 fapar Fapar from CGLS (1km) Africa 1999-2018 link vgt-lai V1.4 lai LAI from CGLS (1km) Africa vgt-lai V2.0 lai LAI from CGLS (1km) Africa 1999-2018 link vgt-fcover V1.4 fcover FCover from CGLS (1km) Africa vgt-fcover V2.0 fcover FCover from CGLS (1km) Africa 1999-2018 link vgt-dmp V1.0 dmp DMP from CGLS (1km) Africa vgt-dmp V2.0 dmp DMP from CGLS (1km) Africa 1999-2017 link wsi-hp2 V1.0 pasture, crop Water Satisfaction Index from JRC/MARS Africa link

1 Since begin of July 2017, the probav-2.2 version has replaced 2.1 in EUMETCast dissemination. Accordingly, on the eStation a sv2-pv2.2 long term timeseries has been replaced the indicated one. 2 Product newly introduced in version 2.2.0

https://land.copernicus.eu/global/products/ndvi

https://land.copernicus.eu/global/products/fapar

https://land.copernicus.eu/global/products/lai

https://land.copernicus.eu/global/products/fcover

https://land.copernicus.eu/global/products/dmp

https://mars.jrc.ec.europa.eu/asap/files/WSI_TECH_REP.pdf


Derived products Processing chain: Standard Precipitation processing chain for VGT NDVI (std_vgt_ndvi)

Applied to: vgt-ndvi

ndvi-linearx2 Filtered NDVI (linear filtering applied twice) 10davg-linearx2 Statistic: AVG of ndvi-linearx2 10dmin-linearx2 Statistic: MIN of ndvi-linearx2 10dmax-linearx2 Statistic: MAX of ndvi-linearx2 10dmed-linearx2 Statistic: MED of ndvi-linearx2 10dstd-linearx2 Statistic: STD of ndvi-linearx2 10ddiff-linearx2 Anomaly: DIF of ndvi-linearx2

10dsndvi-linearx2 Anomaly: SNDVI of ndvi-linearx2 (aka z-score) 10dperc-linearx2 Anomaly: PERC difference of ndvi-linearx2 (100*(curr-LTA)/LTA)

linearx2diff-linearx2 Anomaly: Absolute Difference (ndvi-linearx2 -10davg-linearx2) vci-linearx2 Anomaly: VCI (linearx2 vs. linearx2 statistics) icn-linearx2 Anomaly: ICN (linearx2 vs. linearx2 statistics)

ratio-linearx2 Anomaly: Ratio (100 * ndvi-linearx2/10davg-linearx2) monndvi Indicator: monthly NDVI (from ndvi-linearx2) 1monavg Statistic: monthly multi-year average NDVI 1monmin Statistic: monthly multi-year min NDVI 1monmax Statistic: monthly multi-year max NDVI 1monicn Statistic: monthly ICN NDVI 1monvci Statistic: monthly VCI NDVI 1monstd Statistic: monthly std NDVI 1mondiff Anomaly: monthly diff NDVI 1monperc Anomaly: monthly perc NDVI 1monsndvi Anomaly: monthly SNDVI (aka z-score)

monthly-ratio Anomaly: monthly ratio


Processing chain: Standard Processing chain for DMP products (std_dmp)

Applied to: vgt-dmp

10davg Statistic: multi-years average for each dekad 10dmin Statistic: multi-years minimum for each dekad 10dmax Statistic: multi-years maximum for each dekad 10ddiff Anomaly: ABSOLUTE DIFFERENCE (10d – 10davg) 10dperc Anomaly: RELATIVE DIFFERENCE % ((10d – 10davg)/10davg) 10dratio Anomaly: Ratio 100*(10d/10davg)

Processing chain: Standard Processing chain for VGT products (std_vgt)

Applied to: vgt-lai, vgt-fcover, vgt-fapar

10davg Statistic: multi-years average for each dekad 10dmin Statistic: multi-years minimum for each dekad 10dmax Statistic: multi-years maximum for each dekad 10dstd Statistics: Standard Deviation 10ddiff Anomaly: ABSOLUTE DIFFERENCE (10d – 10davg) 10dperc Anomaly: RELATIVE DIFFERENCE % ((10d – 10davg)/10davg) 10dna Anomaly: Normalized Anomaly (10d- 10dmin)/(10dmax-10dmin) 10dratio Anomaly: Ratio 100*(10d/10davg) 10dzscore Anomaly: Z-score 1moncum Cumulated 10day over each month 1monavg Statistic: multi-years average for each month 1monmin Statistic: multi-years minimum for each month 1monmax Statistic: multi-years maximum for each month 1monstd Statistic: multi-years standard deviation for each month 1mondif Anomaly: ABSOLUTE DIFFERENCE (1moncum-1monavg)


1monperc Anomaly: RELATIVE DIFFERENCE (1moncum-1monavg)/1monavg 1monna Anomaly: Normalized Anomaly (1moncum- 1monmin)/(1monmax-1monmin) 1monratio Anomaly: Ratio 100*(1moncum/1monavg) 1monzscore Anomaly: Z-Score

2.2 INLAND WATER PRODUCTS

The following table describes the 'Inland water' products that are retrieved and ingested in the eStation. The reference period for the computation of LTA (Long Term Anomalies) is also indicated: normally, it corresponds to the whole datasets length, and is therefore longer then the temporal extension of timeseries locally available on the stations.

Input products

Product code Version Ingested sub-product Description Coverage Period for LTA Ref

wd-gee V1.0 occurr Inland water surface from Landsat – monthly occurrences (30m) Africa3 link wd-gee V1.0 avg Long Term average occurrences (30m) Africa 1985-2015 Theia-wl 1.0 n.a. Water level over lakes and rivers (CSV Point data)4 link

3 The product is computed globally, but distributed over Africa only, divided by region 4 This product is introduced in version 2.2.0, serves only data download over the lakes and rivers selected in data source description

https://global-surface-water.appspot.com/

https://www.theia-land.fr/en/product/water-levels-of-rivers-and-lakes-hydroweb/


2.3 RAINFALL PRODUCTS

The following table describes the 'rainfall' products that are retrieved and ingested in the eStation. The reference period for the computation of LTA (Long Term Anomalies) is also indicated: normally, it corresponds to the whole datasets length, and is therefore longer then the temporal extension of timeseries locally available on the stations.

Input Products


fewsnet-rfe 2.0 10d Precipitation estimates over 10 days Africa 2001-2017 link tamset-rfe 2.0 10d Precipitation estimates over 10 days Africa 1984-2017 link tamset-rfe 3.0 10d Precipitation estimates over 10 days Africa 1984-2017 link chirps-dekad 2.0 10d Precipitation estimates over 10 days Africa 1981-2017 link arc2-rain 2.0 1d Precipitation estimates from NASA-CPC(1983-Present) Africa NA link rain-spi V1.0 spi-1mon Standard Precipitation Index over 1month from JRC-MARS Africa NA link rain-spi V1.0 spi-3mon Standard Precipitation Index over 3months from JRC-MARS Africa NA link msg-mpe undefined mpe Precipitation estimates near-real time from MSG (15 min) Africa NA ecmwf-rain5 ope 10d Precipitation estimates over 10 days(2008-2018) Africa NA

Derived Products

Processing chain: Standard Precipitation processing chain (std_precip) Applied to: fewsnet-rfe, tamsat-rfe, chirps-dekad

10davg Statistic: multi-years average for each dekad 10dmin Statistic: multi-years minimum for each dekad 10dmax Statistic: multi-years maximum for each dekad 10ddiff Anomaly: ABSOLUTE DIFFERENCE (10d – 10davg) 10dperc Anomaly: RELATIVE DIFFERENCE % ((10d – 10davg)/10davg)

5 This product is added with release 2.0.4 (July 2016): no historical archive is present on the MESA stations, but the data since 2008 are available on JRC server.

https://earlywarning.usgs.gov/fews/datadownloads/Continental%20Africa/Dekadal%20RFE

https://www.tamsat.org.uk/

https://www.tamsat.org.uk/

https://earlywarning.usgs.gov/fews/datadownloads/Global/CHIRPS%202.0

https://www.cpc.ncep.noaa.gov/products/fews/AFR_CLIM/AMS_ARC2a.pdf

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360855/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360855/


10dnp Anomaly: Normalized Precipitation (10d- 10dmin)/(10dmax-10dmin) 10dratio Anomaly: Precipitation Ratio 100*(10d/10davg) 1moncum Cumulated 10day RFE over each month 1monavg Statistic: multi-years average for each month 1monmin Statistic: multi-years minimum for each month 1monmax Statistic: multi-years maximum for each month 1mondif Anomaly: ABSOLUTE DIFFERENCE (1moncum-1monavg) 1monperc Anomaly: RELATIVE DIFFERENCE (1moncum-1monavg)/1monavg 1monnp Anomaly: Normalized Precipitation (1moncum- 1monmin)/(1monmax-1monmin)

Processing chain: Processing chain of standard precipitation for single day (std_precip_1day) Applied to: arc2-rfe

10d Cumulated precipitation estimate over 10 day

1mon Cumulated precipitation estimate over 1 month

3mon Cumulated precipitation estimate over 3 months

6mon Cumulated precipitation estimate over 6 months

1year Cumulated precipitation estimate over 1 year


2.4 FIRE PRO DUC TS

The following table describes the ‘Fire’ products that are retrieved and ingested in the eStation. The reference period for the computation of LTA (Long Term Anomalies) is also indicated: normally, it corresponds to the whole datasets length, and is therefore longer then the temporal extension of timeseries locally available on the stations.

Input Products


modis-firms V5.06 1day Daily Active Fires at 1 km resolution Africa 2014-2016 modis-firms V6.0 1day Daily Active Fires at 1 km resolution Africa 2002-2018 link vgt-ba7 V1.1 ba Burnt Area over 10days (300m resolution) Africa link

Derived Products

Processing chain: Processing chain of standard MODIS FIRMS products (std_modis_firms) Applied to: modis-firms

10dcount Number of fires over 10 day period 10dcountavg Multi-years average number of 10dcount 10dcountmin Multi-years minimum number of 10dcount 10dcountmax Multi-years maximum number of 10dcount 10dcountdiff Difference between 10dcount and 10dcountavg 10dcount10K Number of fires over 10 day period over 10 Km grids

10dcount10Kavg Multi-years average number of 10dcount over 10 Km grids 10dcount10Kmin Multi-years minimum number of 10dcount over 10 Km grids 10dcount10Kmax Multi-years maximum number of 10dcount over 10 Km grids

6 Release 6.0 replaces the 5.0, which was discontinued in March 2017. 7 This product is introduced in version 2.2.0.

https://firms.modaps.eosdis.nasa.gov/

https://land.copernicus.eu/global/products/ba


10dcount10Kdiff Difference between 10dcount and 10dcountavg over 10 Km grids 10dcount10Kratio Ratio between 10dcount and 10dcountavg over 10 Km grids

2.5 MI SCELLA NEOU S PRO DUC TS

The following table describes the ‘Miscellaneous’ products that are retrieved and ingested in the eStation. The reference period for the computation of LTA (Long Term Anomalies) is also indicated: normally, it corresponds to the whole datasets length, and is therefore longer then the temporal extension of time series locally available on the stations.

Input Products


ascat-swi V3.1 swi Soil Water Index- Every day product (0.1 degree) Africa NA link cpc-sm8 1.0 sm Soil Moisture – Monthly product (0.5 degree) Africa NA link lsasaf-et Undefined et Evapotranspiration 30mins product MSG-disk - link lsasaf-lst Undefined lst Land Surface temperature 15mins product MSG-disk - link

s2-l1c9 V1.0 N/A Sentinel 2 L1C products selected band acquisition alone from JEODPP link

ecmwf-evpt10 ope 10d Evapotranspiration over 10 days Africa

8 This product is added with release 2.1.1 (November 2017): no historical archive is present on the MESA stations, but the data since 2008 are available on JRC server. 9 This product is introduced in version 2.2.0 for Sentinel 2 data (selected bands) acquisition JRC Earth Observation Data and Processing Platform(JEODPP). The detailed description how to use the acquisition for other Sentinel 2 sensors (L2A) in mentioned in Appendix. 10 This product is added with release 2.0.4 (July 2016): no historical archive is present on the MESA stations, but the data since 2008 are available on JRC server

https://land.copernicus.eu/global/products/swi

https://landsaf.ipma.pt/en/products/evapotranspiration-energy-flxs/met/

https://landsaf.ipma.pt/en/products/land-surface-temperature/lst/

https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/product-types/level-1c

https://jeodpp.jrc.ec.europa.eu/home/


Derived Products

Processing chain: Standard Processing chain for LSASAF ET related products (std_lsasaf_et)

Applied to: lsasaf-et

10d30min2 Statistics (30min average over 10 days) MSG-disk 10dcum Indicator: ET cumulated over 10 days Africa

1moncum Indicator: ET cumulated over 1 month Africa

Processing chain: Standard Processing chain for LSASAF LST related products (std_lsasaf_lst)

Applied to: lsasaf-lst

10d15min2 Statistics (15min max over 10 days) MSG-disk 1dmax Indicator: LST maximum over 1 day Africa

10dmax Indicator: LST maximum over 10 days Africa 10dmin Indicator: LST minimum over 10 days Africa


2.6 MA RI NE PROD UCT S

The following table describes the ‘Marine’ products that are retrieved and ingested in the eStation. The reference period for the computation of LTA (Long Term Anomalies) is also indicated: normally, it corresponds to the whole datasets length, and is therefore longer then the temporal extension of time series locally available on the stations.

Input Products


modis-sst v2013.1 sst-day Ingested daily SST (4km) Africa Since 2002 link modis-chla v2013.1 chl-day Ingested daily CHLA (4km) Africa Since 2002 link modis-par v2012.0 par-day Ingested daily PAR (4km) Africa Since 2002 link modis-kd490 v2012.0 kd490-day Ingested daily KD490 (4km) Africa Since 2002 link pml-modis-chla 3.0 chl-3day Ingested CHL (1km) Region link pml-modis-sst 3.0 sst-3day Ingested SST (1km) Region link olci-wrr V02.0 chl-oc4me Chlorophyl-a computed with oc4me algo (1km) Africa link olci-wrr V02.0 chl-nn Chlorophyl-a computed with neural network algo (1km) Africa slstr-sst 1.0 wst Sea Surface Temperature Africa link

Derived Products

Processing chain: Standard Processing chain for MODIS monthly average computation (std_modis_monavg) Applied to: modis-chla, modis-sst, modis-par, modis-kd490

8daysavg 8 days Average

monavg Monthly average monclim Monthly Climatology

monanom Monthly Anomaly (monthly - climatology)

https://oceancolor.gsfc.nasa.gov/atbd/sst/

https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/

https://oceancolor.gsfc.nasa.gov/atbd/par/

https://oceancolor.gsfc.nasa.gov/atbd/kd_490/

https://www.pml.ac.uk/Research/Research_topics/Strengthening_marine_observations/Earth_Observation

https://www.pml.ac.uk/Research/Research_topics/Strengthening_marine_observations/Earth_Observation

https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-water

https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-wst


Processing chain: Standard Processing chain for gradient computation (std_gradient) Applied to: modis-chla, slstr-sst, olci-wrr

gradient Horizontal Gradient for chlorophyll and sea surface temperature. Processing chain: Standard Processing chain for fronts computation (std_fronts) Applied to: pml-modis-sst, slstr-sst

sst-fronts Fronts of SST sst-fronts-shp11 Fronts of SST in shapefile format

Processing chain: Non Standard Processing chain for Primary production computation (modis_pp) Applied to: modis-chla, modis-sst, modis-par, modis-kd490 are the 4 inputs for computing PP

8daysavg Average Primary production over 8 days monavg Monthly average primary production

Processing chain: Standard Processing chain for Ocean Productive index- Fish computation (std_opfish) Applied to: modis-chla

opfish Ocean Productivity Index for Fish Processing chain: Standard Processing chain for 3day average, monthly average products computation (std_olci_wrr) Applied to: slstr-sst, olci-wrr

3daysavg 3day average Product monavg Monthly average product

11 On top of the GeoTiff file (sst-fronts) this product is created for usage in QGIS or other applications (it is not visualized by eStation viewer).


2.7 PROD UCT S SOU RCE S (EUMETCA ST A N D IN TER NET)

The following tables details the sources where the datasets are retrieved from, and refer to both PC1 (EUMETCast acquisition PC) and the remote ftp/http servers the datasets are downloaded from (see also RD-1, $ 4.2.1 and 4.3).

Product Version ID Filter Expression Pre-proc Type

vgt-dmp V1.0 EO:EUM:DAT:PROBA-V:DMP g2_BIOPAR_DMP_.*_AFRI_PROBAV_.*.[zip|ZIP] HDF5_ZIP

vgt-fapar12 V1.4 EO:EUM:DAT:PROBA-V:FAPAR g2_BIOPAR_FAPAR_.*_ AFRI_PROBAV_.*.[zip|ZIP] HDF5_ZIP

vgt-fapar V2.0 EO:EUM:DAT:PROBA-V2.0:FAPAR c_gls_FAPAR.*_AFRI_PROBAV_V2.0.*[zip|ZIP] HDF5_GLS

vgt-fcover12 V1.4 EO:EUM:DAT:PROBA-V:FCOVER g2_BIOPAR_FCOVER_.*_ AFRI_PROBAV_.*.[zip|ZIP] HDF5_ZIP

vgt-fcover V2.0 EO:EUM:DAT:PROBA-V2.0:FCOVER c_gls_FCOVER.*AFRI_PROBAV_V2.0.*[zip|ZIP] HDF5_GLS

vgt-lai12 V1.4 EO:EUM:DAT:PROBA-V:LAI g2_BIOPAR_LAI_.*_ AFRI_PROBAV_.*.[zip|ZIP] HDF5_ZIP

vgt-lai V2.0 EO:EUM:DAT:PROBA-V2.0:LAI c_gls_LAI.*AFRI_PROBAV_V2.0.*[zip|ZIP] HDF5_GLS

vgt-ndvi proba-v2.1 EO:EUM:DAT:PROBA-V2.1:NDVI g2_BIOPAR_NDVI_.* AFRI_PROBAV _V2.1.[zip|ZIP] HDF5_ZIP

vgt-ndvi proba-v2.2 EO:EUM:DAT:PROBA-V2.2:NDVI c_gls_NDVI.*AFRI_PROBAV_V2.2.1.[zip|ZIP] HDF5_GLS

msg-mpe undefined EO:EUM:DAT:MSG:MPE-GRIB L-000-MSG.__-MPEF________-MPEG_____-00000.*___-.*-__ MSG_MPE

pml-modis-chla 3.0 EO:EUM:DAT:MULT:CPMAD:OC PML_.*_MODIS_oc_3daycomp.*.nc.bz2 PML_NETCDF

pml-modis-sst 3.0 EO:EUM:DAT:MULT:CPMAD:SST PML_.*_MODIS_sst_3daycomp.*.nc.bz2 PML_NETCDF

tamsat-rfe 2.0 EO:EUM:DAT:MSG:RFE rfe.*-dk[123].nc GEOREF_NETCDF

lsasaf-et undefined EO:EUM:DAT:MSG:ET-SEVIRI S-LSA_-HDF5_LSASAF_MSG_ET_.Afr_.*.bz2 LSASAF_HDF5

lsasaf-lst undefined EO:EUM:DAT:MSG:LST-SEVIRI S-LSA_-HDF5_LSASAF_MSG_LST_.Afr.*_.*.bz2 LSASAF_HDF5

modis-chla v2013.1 EO:EUM:DAT:AQUA:CHLORA A.*L3m_DAY_CHL_chlor_a_4km.nc NETCDF

modis-kd490 v2012.0 EO:EUM:DAT:MULT:MOD-KD490 A.*L3m_DAY_KD490_Kd_490_4km.nc NETCDF

modis-par v2012.0 EO:EUM:DAT:MULT:MOD-PAR A.*L3m_DAY_PAR_par_4km.nc NETCDF

12 The products vgt-fapar, vgt-fcover and vgt-lai version 1.4 are discontinued by Copernicus Global Land in December 2018.


modis-sst v2013.1 EO:EUM:DAT:MULT:MOD-SST A.*L3m_DAY_SST_sst_4km.nc NETCDF

olci-wrr V02.0 EO:EUM:DAT:SENTINEL-3:OL_2_WRR___NRT S3A_OL_2_WRR_.*SEN3.tar NETCDF_S3_WRR

slstr-sst V02.0 EO:EUM:DAT:SENTINEL-3:SL_2_WST___NRT S3A_SL_2_WST_.*SEN3.tar NETCDF_S3_WST

wd-gee 1.0 EO:EUM:DAT:LANDSAT:MESA-JRC-WBD-GEE MESA_JRC_wd-gee_occurr.*_WD-GEE-ECOWAS-AVG_1.0.tgz TARZIP

wd-gee 1.0 EO:EUM:DAT:LANDSAT:MESA-JRC-WBD-GEE-AVG

MESA_JRC_wd-gee_avg.*_WD-GEE-ECOWAS-AVG_1.0.tgz TARZIP

Table 3: Active EUMETCast Sources

Product Version ID Filter Expression Pre-proc Type

vgt-ndvi proba-v2.0 EO:EUM:DAT:PROBA-V2.0:NDVI g2_BIOPAR_NDVI_.*V2.0.[zip|ZIP] HDF5_ZIP

pml-modis-chla 3.0 EO:EUM:DAT:MULT:NRTOAFR:OC PML_.*_MODIS_oc_nrt.*.nc.bz2 PML_NETCDF

pml-modis-chla 3.0 EO:EUM:DAT:AQUA:ROPAFR:OC PML_.*_MODIS_oc_refined.*.nc.bz2 PML_NETCDF

pml-modis-sst 3.0 EO:EUM:DAT:MULT:NRTOAFR:SST PML_.*_MODIS_sst_nrt.*.nc.bz2 PML_NETCDF pml-modis-sst 3.0 EO:EUM:DAT:AQUA:ROPAFR:SST PML_.*_MODIS_sst_refined.*.nc.bz2 PML_NETCDF

Table 4: EUMETCast sources defined but not used (FTTB)


The Table 5 : Internet Sourceslists of Internet sources available in the eStation2. Some of the Internet sources are used as default to collect the data and process it whereas some others are used as backup, if there is a failure of EUMETCast reception. The status are mentioned in the Notes column of the table. There are also internet sources that are used to retrieve old versions of the products.

Product/ Version ID URL Applies to Notes/Activation Status

arc2-rain/2.0[1] CPC:NOAA:RAIN:ARC2 https://ftp.cpc.ncep.noaa.gov/fews/fewsdata/africa/arc2/geotiff/

Retrieves NRT data

Activated by default

ascat-swi/V3.1 PDF:GLS:METOP:ASCAT-V3.1:SWI

https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Soil_Water_Index/Daily_SWI_12.5km_Global_V3/

NRT data Activated by default

aviso-wave/1.0 AVISO:WAVE:1D:1.0 ftp://ftp.aviso.oceanobs.com/pub/oceano/AVISO/wind-wave/nrt/mswh/merged/

NRT data Available in DB (the product is de-activated by default)

aviso-wind/1.0 AVISO:WIND:1D:1.0 ftp://ftp.aviso.oceanobs.com/pub/oceano/AVISO/wind-wave/nrt/mwind/merged/

NRT data Available in DB (the product is de-activated by default)

chirps-rfe/2.0 UCSB:CHIRPS:DEKAD:2.0 ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/ products/CHIRPS-2.0/global_dekad/tifs/

Calibrated data Activated by default

chirps-rfe/2.0 UCSB:CHIRPS:PREL:DEKAD ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/prelim/global_dekad/tifs/


cpc-sm/1.0 CPC:NCEP:NOAA:SM ftp://ftp.cpc.ncep.noaa.gov/wd51yf/global_monthly/gridded_binary/current_month/


fewsnet-rfe/2.0 USGS:EARLWRN:FEWSNET https://edcintl.cr.usgs.gov/downloads/sciweb1/shared/fews/web/africa/dekadal/rfe/dekadrainfall/downloads/dekadal/ [7]


modis-chla/v2013.1 GSFC:CGI:MODIS:CHLA:1D http://oceandata.sci.gsfc.nasa.gov/cgi/getfile/ NRT data Available in DB (see Note 1) modis-firms/v6.0 MODAPS:EOSDIS:FIRMS:N

ASA:HTTP https://nrt3.modaps.eosdis.nasa.gov/api/v2/content/archives/FIRMS/c6/Global


modis-kd490/v2012.0 GSFC:CGI:MODIS:KD490:1D

http://oceandata.sci.gsfc.nasa.gov/cgi/getfile/ NRT data Available in DB (see Note 1)

modis-par/v2012.0 GSFC:CGI:MODIS:PAR:1D http://oceandata.sci.gsfc.nasa.gov/cgi/getfile/ Retrieves missing data

Available in DB (see Note 1)

modis-sst/v2013.1 GSFC:CGI:MODIS:SST:1D http://oceandata.sci.gsfc.nasa.gov/cgi/getfile/ Retrieves missing data



olci-wrr/V02.0 CODA:EUM:S3A:OLCI:WRR https://coda.eumetsat.int/api/stub/products?filter=

Retrieves missing data


pml-modis-chla/3.0 PML:CHL:1D ftp://ftp.rsg.pml.ac.uk/ Retrieves missing data

Available in DB

pml-modis-sst/3.0 PML:SST:1D ftp://ftp.rsg.pml.ac.uk/ Retrieves missing data

Available in DB

rain-spi/V1.0 JRC:MARS:SPI:3MON https://mars.jrc.ec.europa.eu/asap/data/indicators_rain/spi3/


rain-spi/V1.0 JRC:MARS:SPI:1MON https://mars.jrc.ec.europa.eu/asap/data/indicators_rain/spi1/


s2-l1c/V1.0 JRC:JEODPP:S2:L1C https://jeodpp.jrc.ec.europa.eu/services/gmes/ Retrieves from JEODPP (credentials needed)

Not activated by default – needs credentials

slstr-sst/1.0 CODA:EUM:S3A:SLSTR:WST

https://coda.eumetsat.int/api/stub/products?filter=

Retrieves missing data

Available in DB

tamsat-rfe/2.0 READINGS:TAMSAT:10D:NC

https://www.tamsat.org.uk/public_data/ [5] NRT data Activated by default

tamsat-rfe/3.0 READINGS:TAMSAT:3.0:10D:NC

https://www.tamsat.org.uk/public_data/ [1] NRT data Activated by default

vgt-ba/V1.1 PDF:GLS:PROBA-V1.1:BA300

https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Fire_Disturbance/BA_V1_300/


vgt-dmp/2.0 PDF:GLS:PROBA-V2.0:DMP https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Dry_Matter_Productivity/DMP_1km_V2

Retrieves re-processed data (RT6)

Available in DB

vgt-dmp/2.0 (1999-2013)

PDF:GLS:VGT-V2.0:DMP https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Dry_Matter_Productivity/DMP_1km_V2

Retrieves products for the period 1999-2013. Not used in normal operations.

Available in DB

vgt-dmp/2.0 PDF:GLS:PROBA-V2.0:DMP_RT0

https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Dry_Matter_Productivity/DMP_1km_V2

Retrieves NRT data (RT0)



vgt-fapar/V2.0 PDF:GLS:PROBA-V2.0:FAPAR(2014-present)

https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Properties/FAPAR_1km_V4

Retrieves re-processed data, for filling gaps in EUMETCast dissemination.

Available in DB (1)

vgt-fapar/V2.0 PDF:GLS:VGT-V2.0.2:FAPAR(1999-2003)



Available in DB

vgt-fapar/V2.0 PDF:GLS:VGT-V2.0:FAPAR(2003-2013)



Available in DB

vgt-fcover/V2.0 PDF:GLS:PROBA-V2.0:FCOVER(2014-present)

https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Properties/FCOVER_1km_V2

Retrieves re-processed data, for filling gaps in EUMETCast dissemination.

Available in DB

vgt-fcover/V2.0 PDF:GLS:VGT-V2.0.2:FCOVER(1999-2003)



Available in DB

vgt-fcover/V2.0 PDF:GLS:VGT-V2.0:FCOVER(2003-2013)



Available in DB

vgt-lai/V2.0 PDF:GLS:PROBA-V2.0:LAI(2014-present)

https://land.copernicus.vgt.vito.be/PDF/datapool/Vegetation/Properties/LAI_1km_V2

Retrieves re-processed data, for filling gaps in

Available in DB


EUMETCast dissemination.

vgt-lai/V2.0 PDF:GLS:VGT-V2.0.1:LAI(2003-2013)



Available in DB

vgt-lai/V2.0 PDF:GLS:VGT-V2.0.2:LAI (1999-2003)



Available in DB

vgt-ndvi/proba300-v1.0 PDF:VITO:PROBA-V1:NDVI300

https://www.vito-eodata.be/PDF/datapool/Free_Data/PROBA-V_300m/S10_TOC_NDVI_-_300_m_C1


theia-wl/1.0 THEIA:HYDRO:LEGOS:WATERLEVEL

http://hydroweb.theia-land.fr/hydroweb/ Retrieves station data: local configuration needed


wsi-hp/V1.0 JRC:MARS:WSI:CROP https://mars.jrc.ec.europa.eu/asap/data/indicators_wsi/wsi_hp/


wsi-hp/V1.0 JRC:MARS:WSI:PASTURE https://mars.jrc.ec.europa.eu/asap/data/indicators_wsi/wsi_hp/


Table 5 : Internet Sources

Notes: (1): for these products the corresponding EUMETCast source is activated by default. The Internet source can be activated if needed (e.g. no EUMETCast reception).


2.8 PROD UCT S AC TI VA TED FO R E ACH THEMA (MESA)

The following table indicates which products are activated for each THEMA (the name of the RIC is displayed) and what is the geographic region adopted for each of them. The selection of the products/subproducts is performed by the eStation while selecting the ‘THEMA’ under the ‘System’ Tab.

RAINFALL Resolution ACMAD AGRHYMET BDMS CICOS ICPAC MOI UOG Training Centres

FEWSNET RFE 8km Africa Africa Africa Africa Africa - - Africa TAMSAT RFE 4km Africa Africa Africa Africa Africa - - Africa CHIRPS2.0 RFE 5km Africa Africa Africa Africa Africa - - Africa MSG MPE13 3km - - - - - - - - ARC2-RAIN 11km Africa - - - - - - Africa

VEGETATION Resolution ACMAD AGRHYMET BDMS CICOS ICPAC MOI UOG Training Centres

VGT NDVI 1km Africa Region Region Region Region - - Africa VGT FAPAR 1km Africa Region Region Region Region - - Africa VGT FCOVER 1km Africa Region Region Region Region - - Africa VGT DMP 1km Africa Region Region Region Region - - Africa VGT LAI 1km Africa Region Region Region Region - - Africa

FIRE Resolution ACMAD AGRHYMET BDMS CICOS ICPAC MOI UOG Training Centres

MODIS FIRM 1km Africa Region Region Region Region - - Africa

13 Product added in release 2.0.4; it is defined for ingestion/processing, but not activated by default (due to the large amount of data)


MISCELLANEOUS Resolution ACMAD AGRHYMET BDMS CICOS ICPAC MOI UOG Training Centres

LSASAF – ET 3km Africa Region Region Region Region - - Region (CEMAC)

LSASAF – LST 3km Africa Region Region Region Region - - Region (CEMAC)

CPC – SM 50 km Africa - - - - - - Africa

MARINE Resolution ACMAD AGRHYMET BDMS CICOS ICPAC MOI UOG Training Centres

MODIS SST 4km Global - - - - Region Region Africa PML SST 1km - - - - - Region Region IOC+UoG MODIS CHLA 4km - - - - - Region Region Africa PML CHLA 1km - - - - - Region Region IOC+UoG MODIS KD490 4km - - - - - Region Region Africa MODIS PAR 4km - - - - - Region Region Africa MODIS PP 4km - - - - - Region Region Africa OLCI CHLA 1km - - - - - Region Region Africa SLSTR SST 1km - - - - - Region Region Africa

WATER BODY Resolution ACMAD AGRHYMET BDMS CICOS ICPAC MOI UOG Training Centres

LANDSAT WATER BODY 30m - Region (ECOWAS) - - - - - Region

(ECOWAS) Table 6: Datasets to be activated for each THEMA/RIC (MESA)


2.9 PROD UCT S AC TI VA TED FO R E ACH THEMA (GMES&AFRIC A)

The following table indicates which products are activated for each THEMA (the name of the RIC is displayed) and what is the geographic region adopted for each of them. The selection of the products/subproducts is performed by the eStation while selecting the ‘THEMA’ under the ‘System’ Tab.

VEGETATION Resolution AGEOS CICOS CSE CSSTE ICPAC OSS RCMRD SADC-CSC SASSCAL Training

Centres VGT DMP – V2.0 1 km Region Region Region Region Region Region Region Region Region Africa VGT FAPAR – V2.0 1 km Region Region Region Region Region Region Region Region Region Africa VGT FCOVER – V2.0 1 km Region Region Region Region Region Region Region Region Region Africa VGT LAI – V2.0 1 km Region Region Region Region Region Region Region Region Region Africa VGT NDVI – V2.2 1 km Region Region Region Region Region Region Region Region Region Africa VGT NDVI 300m – V1.0 300 m Region Region Region Region Region Region Region Region Region Africa VGT NDVI 100m – V1.0 100 m - - - - - - - - - - WSI-HP 1 km Region Region Region Region Region Region Region Region Region Africa

RAINFALL Resolution AGEOS CICOS CSE CSSTE ICPAC OSS RCMRD SADC-CSC SASSCAL Training

Centres ARC2-RAIN – 2.0 11 km Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa CHIRPS2.0 RFE – 2.0 5 km Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa FEWSNET RFE – 2.0 8 km Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa RAIN-SPI – V1.0 5 km Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa TAMSAT RFE – 3.0 4 km Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa

FIRE Resolution AGEOS CICOS CSE CSSTE ICPAC OSS RCMRD SADC-CSC SASSCAL Training

Centres MODIS FIRM – 6.0 1 km Region Region - - Region Region Region Region Region Africa VGT BA – V1.1 300 m Region Region - - Region Region Region Region Region Region


INLAND WATER Resolution AGEOS CICOS CSE CSSTE ICPAC OSS RCMRD SADC-CSC SASSCAL

Training Centres

LANDSAT WATER BODY – 1.0 30m Region Region Region Region Region Region Region Region Region Region

(ECOWAS) Water Level – 1.0 N.A. N.A.14

MISCELLANEOUS Resolution AGEOS CICOS CSE CSSTE ICPAC OSS RCMRD SDAC-CSC SASSCAL Training Centres

ASCAT SWI – V3.1 12 km Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa CPC SM - 1.0 50 km Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa LSASAF ET 3km Region Region Region Region Region Region Region Region Region Africa LSASAF LST 3km Region Region Region Region Africa

Table 7: Datasets to be activated for each THEMA/RIC (GMES)

14 The measurements are taken over ‘virtual’ stations, which have to be configured by the user in the data-source. No any predefined setting is applied at installation. 15 Only retrieved to the system, not ingested.

MARINE Resolution CSIR MOI NARSS UOG Training Centers

AVISO WAVE – 1.015 AVISO WIND – 1.0 MODIS CHLA 4km Region Region Region Region Africa MODIS KD490 4km Region Region Region Region Africa MODIS PAR 4km Region Region Region Region Africa MODIS PP 4km Region Region Region Region Africa MODIS SST 4 km Region Region Region Region Africa MODIS/PML CHLA 1 km n.a. Region n.a. Region All regions MODIS/PML SST 1 km n.a. Region n.a. Region All regions OLCI WRR 1km Region Region Region Region Africa SLSTR SST 1km Region Region Region Region Africa


3. DESC RIP TION OF THE ‘STANDA RD’ P ROCE SSIN G C HAINS

The current paragraph presents in a graphic manner how the ‘derived’ products are computed in the ‘standard’ processing chains, available in release 2.0.X, according to the following conventions:

• The ‘entry’ point of the processing chain is displayed at the top-left corner, and indicated with the number 0. It is normally an ingested product. • Every group of derived products is indicated with an increasing number, according to the order of the computation.

• Some processing chains can be called with an option, which activates/deactivates some steps. When he steps are de-activated, the corresponding outputs are not updated (e.g. long-term statistics).

• The options are indicated in a table, together with the products the chain is applied to (non-exhaustive list). The default option is also indicated, for which the active computational steps are indicated in green in the diagram.













Documents

Global Monitoring for Environment and Security (GMES) and ... · Version 1.0 Initial Release (2.0.1) November 2015 Version 1.1 Update the THEMA’s table (including ‘Training’)