Disaster Floods

Copernicus releases 30m Digital Elevation Model

Elevation in Western China. Image: ESA

Three-dimensional (3D) representations of the Earth’s surface are essential for mapping and assessing disaster risks as well as for preparing, responding to, and preventing disasters. A Digital Elevation Model (DEM) is a pixel-based modeled representation of the Earth’s surface, where each pixel represents an elevation value. Computers or algorithms can use a DEM as input to model or analyze 3D topography. The Copernicus DEM is an edited Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation.

Publishing Date: 

Wed, 06/01/2021 - 15:02

Global web-based systems support flood early warning

GloFAS forecast for parts of Central America on 3 November.

When disaster looms, early warning about potentially affected areas and the extent of the event are critical for disaster management efforts. Using in situ and satellite-based observations, two web-based systems provide critical information to support flood early warning efforts worldwide, for instance in the context of the current record-setting Atlantic hurricane season, which has brought widespread damage to countries in Central America.

Publishing Date: 

Fri, 20/11/2020 - 11:26

Data application of the month: Machine learning for flood detection

RGB composite of Sentinel-1 SAR imagery of floods (red) in Honduras in 2020. Image: contains modified Copernicus Sentinel data (2020), processed by UN-SPIDER.

Machine learning approaches provide new possibilities for flood detection as more data becomes available, computing power increases and machine learning algorithms improve. Machine learning has emerged as a preferred instrument to delve into non-linear systems and generated predictions of floods. In flood forecasting, traditional methods of predicting hazard variables can involve a chain of hydrologic and hydraulic models that describe the physical processes. Although such models provide system understanding, they often have high computational and data requirements.

English

CSSTE creates data bank for flood events in West Africa

Field Work on Ogunpa flood plain Ibadan, Nigeria. Image: GMES.

Floods are among the most frequent natural hazards around the world, as well as in Africa, and can trigger devastating disasters among the most vulnerable communities. Climate change, and inadequate land-use/land-cover changes can exacerbate this situation and may erode hard-won gains in many developing countries. The first step to reduce the impacts of such floods is to understand the dynamics of floods throughout the floodplains more precisely.

Country/Region: 

Publishing Date: 

Mon, 10/08/2020 - 12:27

Advanced Webinar: SAR for Disasters and Hydrological Applications

This is event is available for participation on an ongoing basis
English
Image: NASA.

Learning Objectives: 


By the end of this training, attendees will be able to:

latitude: 

0

longitude: 

0

Is a certificate Issued?: 

0

Date: 

03/12/2019 to 05/12/2019

Registration Deadline: 

Thu, 05/12/2019

Event Organisers: 

NASA ARSET

Language of event: 

1
Spanish

Recent study presents new assessment method for rare floods risks

Modeled catchment mean annual loss. For clarity, only catchments with a mean annual loss of >$1.5 million have been plotted. Image: Quinn, N., Bates, P. D., Neal, J., Smith, A., Wing, O., Sampson, C., et al. ( 2019).

A recent study, published in the Water Resource Research journal, presents a new method for a spatially realistic national flood risk assessment.

Country/Region: 

Publishing Date: 

Thu, 04/07/2019 - 09:51

Global Flood Partnership Annual Meeting 2019

This is event is available for participation on an ongoing basis
English

The Global Flood Partnership is a multi-disciplinary group of scientists, operational agencies and flood risk managers focused on developing efficient and effective global flood tools that can address these challenges. Its aim is to establish a partnership for global flood forecasting, monitoring and impact assessment to strengthen preparedness and response and to reduce global disaster losses.

latitude: 

23

longitude: 

113

Free tagging: 

Date: 

11/06/2019 to 13/06/2019

Venue: 

Sun Yat-sen University

Venue City: 

Guangzhou

Venue Country: 

  • China

Event Organisers: 

Global Floods Partnership

Co-organisers: 

European Commission and Sun Yat-sen University, China.

Language of event: 

1

Mapping Water Bodies from Space

Undefined

This RUS Webinar provides an introduction to mapping water body extent from a combination of SAR (Sentinel-1) and optical satellite data (Sentinel-2). It demonstrates how to access the RUS Service and how to download, process, analyse and visualize the free data acquired by the Copernicus satellites.

latitude: 

0

longitude: 

0

Training Target Audience: 

Is a certificate Issued?: 

0

Training Requirements: 

Tuition Remarks: 

Additional Information: 

Date: 

07/11/2018

Registration Deadline: 

Wed, 07/11/2018

Venue: 

Event Organisers: 

RUS

Co-organisers: 

Language of event: 

1

Asia: Floods the most frequent disaster in 2012

An early view of disaster trends in 2012 across Asia, the world's most disaster-prone region, shows that mortality from flood events continues to decline but economic losses remain a major cause of concern. In 2012 so far, floods were the most frequent disaster occurring in Asia (44%) and had the highest human and economic impact. They accounted for 54% of the death toll in Asia, 78% of people affected and 56% of all economic damages in the region.

Publishing Date: 

Thu, 13/12/2012 - 12:32
Zircon - This is a contributing Drupal Theme
Design by WeebPal.