UN-SPIDER and UFSM of Brazil deliver webinar on flood mapping and drought monitoring in Mozambique

Areas flooded and damaged following cyclone Idai, northwest of Beira. Image: European Union/Christian Jepsen.

In recent years, Mozambique has suffered severe floods and droughts that have impacted urban and rural communities throughout the country. In the March and April 2019, tropical cyclones Idai and Kenneth triggered major floods in Mozambique, Malawi, Zimbabwe, and Comoros.  The Port of Beira was hard hit, as cyclone Idai destroyed transmission lines and bridges, leaving the port without access to these lifelines for several days.   In contrast the powerful El Niño event of 2016 triggered major droughts that affected most of the country.


Publishing Date: 

Mon, 10/08/2020 - 13:57

Referenced UN-SPIDER Regional Support Office: 

Standardized Vegetation Index (SVI)

The Standardized Vegetation Index (SVI) provides information about the relative vegetation condition compared to the years being analyzed. As the state of vegetation is influenced by weather conditions the SVI can also be utilized as a drought-index and for regular drought monitoring to facilitate the early identification of the slow-onset natural hazard. The SVI is based on satellite Vegetation Indices (VI) such as the Normalized Difference Vegetation Index (NDVI) or Enhanced Vegetation Index (EVI) indicating the estimated vegetation condition.


Spaced-based drought indicators and dry spell in Germany

Dry soil

A break in the heat wave that hit Europe in the summer of 2018 is giving a reprieve to many people who had been suffering from the heat. However, great damages to the vegetation and harvest remain. In Germany, the Association of Farmers has reported damages from the dry spell of over EUR 1 billion.


Publishing Date: 

Fri, 17/08/2018 - 14:43

Step by step: Drought monitoring using the Standard Vegetation Index (SVI) in Python

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Training Course for EIGEO 2016

This is event is available for participation on an ongoing basis

The training course allowed UN-SPIDER to train the staff of the Geospatial Information Group for Risk Management and Emergency Response (EIGEO) team on the use of the UN-SPIDER Recommended Practices for drought monitoring as part of the project to strengthen drought early warning systems. The EIGEO brings together professionals and experts from more than 15 different institutions, universities and NGOs from the Dominican Republic. The training was conducted by experts from the Santa María Federal University, Brazil and Agustín Codazzi Geographic Institute (IGAC), Colombia.





Is a certificate Issued?: 



20/07/2016 to 22/07/2016

Registration Deadline: 

Sun, 10/07/2016


National Emergency Commission

Venue City: 

Santo Domingo

Venue Country: 

  • Dominican Republic

Event Organisers: 

UN-SPIDER and the National Emergency Commission (CNE)


Secure World Foundation

Language of event: 


IGAC conducts training course on satellite information for drought early warning systems

IGAC conducts training course on satellite information for drought early warning systems

The Agustín Codazzi Geographic Institute -IGAC, through its Center for Research and Development of Geographic Information (CIAF), conducted a workshop on 27 October 2016 on the use of satellite information in early warning systems to deal with drought phenomena. The workshop was attended by professionals from entities including the National Institute of Innovation and Transfer in Agricultural Technology of Costa Rica  (INTA), and the Agricultural Planning Unit - UPRA of Colombia.


Publishing Date: 

Fri, 09/12/2016 - 02:51

Referenced UN-SPIDER Regional Support Office: 

UN-SPIDER and the National Emergency Commission conduct a training course in Santo Domingo

Training course in Santo Domingo on drought indices

The UN-SPIDER programme of the United Nations Office for Outer Space Affairs and the National Emergency Commission of the Dominican Republic (NEC) joined forces to conduct a training course in the premises of the NEC from 20 to 22 July 2016 in Santo Domingo, Dominican Republic.  The training course focused on the generation of maps depicting the Vegetation Condition Index (VCI) and the Standard Vegetation Index (SVI) using the Recommended Practices that have been developed by experts for UN-SPIDER.


Publishing Date: 

Tue, 26/07/2016 - 05:40

Referenced UN-SPIDER Regional Support Office: 

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