Dominican Republic - National Training Course

This training course targeted the members of the EIGEO team which has been established by the National Emergency Commission of the Dominican Republic to generate relevant space based information.  The EIGEO team includes professionals from more than 20 institutions and has been institutionalised through an MoU among all the institutions that contribute to it.

The training course, conducted by experts from fhe Federal University of Santa Maria of Brazil (UFSM) and the Agustin Codazzi Geographic Institute (IGAC), focused on the two Recommended Practices on the VCi and the SVI which have been incorporated in the UN-SPIDER Knowledge Portal.  The training was conducted as part of the efforts conducted by UN-SPIDER, IGAC and UFSM as part of the project entitled ¨Strengthening Early Warning Systems for Drought¨ (SEWS-D)

Training Course on UN-SPIDER Recommended Practices on Droughts

Ms. Silvia Pardi Lacruz,  Federal University of Santa Maria, Brazil

Jose Roa Melgarejo, Agustin Codazzi Geographic Institute (UN-SPIDER Regional Support Office)

Members of the EIGEO Team in the Dominican Republic

This training course was conducted as a way to train the members of the EIGEO team on the use of the two Recommended Practices which have been incorporated into the UN-SPIDER Knowledge Portal that focus on drought.  The Dominican Republic, like other countries in Central America and around the world, is facing severe droughts which have been worsened by the 2015-2016 El Niño event.  

The training course strengthened the skills of the EIGEO members on the generation of information on the spatial and temporal dynamics of droughts in the Dominican Republic making use of the Vegetation Condition Index (VCI) and the Standard Vegetation Index (SVI) or Vegetation Anomaly, which are calculated through a comparison of MODIS satellite imagery between 2001 and 2016.  

The Recommended Practice on the VCI was developed originally by the Iranian Space Agency and later modified by UN-SPIDER staff on the basis of the R Studio open software.  The Recommened Practice on the SVI was developed by the Federal University of Santa Maria in Brazil. More information on drought indices can be found here.

Both practices are part of the efforts conducted UN-SPIDER to contribute to the implementation of the SEWS-D project in Central America and the Dominican Republic.  More information on the SEWS-D project can be found here