Recommended (Best) Practice

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Capacity Building and Training Material

UN SPIDER Recommended Practice: Use of Digital Elevation Data for Storm Surge Coastal Flood Modelling

Overview:

Storm surges and tidal waves are global phenomena that considerably affect human populations in coastal and island regions. According to the Guide to Storm Surge Forecasting published by the World Meteorological Organization in 2011, storm surges can be defined as “oscillations of the water level in a coastal or inland body of water in the time range of a few minutes to a few days, resulting from forcing from atmospheric weather systems. According to this definition, the so-called wind waves, which have durations on the order of several seconds, are excluded”.

UN SPIDER Recommended Best Practice: Flood Hazard Assessment Capacity Building and Training Material

UN SPIDER Recommended Best Practice: Flood Hazard Assessment

Overview:

Flood hazard assessments are critical to identifying areas at risk and taking relevant preparation and mitigation measures to address the hazard. Using the HEC-RAS 2D model for preparing flood hazard maps, this Recommended Practice explains how to identify flood-prone areas and exposed infrastructure. Through its focus on the prevention and mitigation stages of the disaster management cycle, it complements the Recommended Practice on Flood Mapping and Damage Assessment with Sentinel-2, also developed by SUPARCO.

UN SPIDER Recommended Best Practice: Exposure Mapping Capacity Building and Training Material

UN SPIDER Recommended Best Practice: Exposure Mapping

Overview:

Mapping the extent of a natural hazard (e.g., assessing areas with a high risk) or disaster is a first step in disaster risk management and emergency response. Subsequently, exposure mapping enables the estimation of the impact of hazards or disasters, for example, regarding the number of affected inhabitants or infrastructure. The following practice shows the use of Quantum GIS to analyze a disaster extent map in combination with auxiliary data such as population or land cover data.

UN-SPIDER Best Practice: Disaster Preparedness Using Free Software Extensions

Overview:

Remote sensing technologies can support all stages of the disaster management cycle. In the prevention and preparedness phases, they often find their application in risk assessments, scenario modelling and early warning. This UN-SPIDER Recommended Practice explains how remote sensing data about recurring floods, information about infrastructure and socio-economic data can be integrated using free and open source software to support prevention and preparedness efforts.

Recommended Practice: Flood Mapping and Damage Assessment using Sentinel-1 SAR data in Google Earth Engine

Floods, as natural disasters, are most commonly caused by storms and torrential rain or by overflowing lakes, rivers or oceans; this type of natural disaster is one of the most common and effects nearly every demographic and area on Earth. As they are wide-ranging disasters, floods leave disaster managers with a wide-range of concerns. The immediate concern during a disaster is that of human life and the infrastructure needed to offer emergency response through. Floods can wash away bridges and buildings, can destroy electricity systems and can even disconnect portions of cities or rural communities from the first responders who need to reach them. Long-term concerns caused by major floods focus on systemic damage; food is often the most serious concern as crops are destroyed and livestock drowns in major flood disasters. This Recommended Practice aims to create important disaster information for both the short- and long-term concerns of floods. The tool produces a flood extent map using Sentitnel-1 SAR images, as well as displays information about cropland and population centers affected in order to address the totality of major concerns that floods cause.

OGC Best Practice for using Web Map Services (WMS) with Time-Dependent or Elevation-Dependent Data

This document proposes a set of best practices and guidelines for implementing and using the Open Geospatial Consortium (OGC) Web Map Service (WMS) to serve maps which are time-dependent or elevation-dependent. In particular, clarifications and restrictions on the use of WMS are defined to allow unambiguous and safe interoperability between clients and servers, in the context of expert meteorological and oceanographic usage and non-expert usage in other communities.

OGC Best Practice for using Web Map Services (WMS) with Ensembles of Forecast Data

This document proposes a set of best practices and guidelines for implementing and using the Open Geospatial Consortium (OGC) Web Map Service (WMS) to serve maps which are members of an ensemble of maps, each of which is a valid possible alternative for the same time and location. In the meteorological and oceanographic communities, it is Best Practice to produce a large number of simultaneous forecasts, whether for a short range of hours, a few days, seasonal or climatological predictions. These ensembles of forecasts indicate the probability distributions of specific outcomes.

Flood Mapping and Damage Assessment using S2 Data Capacity Building and Training Material

Flood Mapping and Damage Assessment using S2 Data

Objective: 

The objective of this practice is to identify the extent of a flood as well as the affected infrastructure such as roads and settlements and impaired areas of interest for example agricultural regions. This information can be used by disaster management agencies and other stakeholders to undertake the rescue and relief activities in affected areas.

Recommended Practice: Flood Hazard Mapping Capacity Building and Training Material

Recommended Practice: Flood Hazard Mapping

This practice shows how GIS and modelling is used to calculate simulated inundation areas based on land use, soil, elevation, and meteorological data. Flood simulations can be used to support decision making regarding potential land use changes.

Recommended Practice: Radar-based Flood Mapping Capacity Building and Training Material

Recommended Practice: Radar-based Flood Mapping

This practice is devoted to the use of SAR satellite imagery for flood mapping. The practice shows the use of ESA's SNAP software for pre-processing and processing of SAR imagery using a threshold method for deriving the flood extent. Google Earth is used to visualize the results of image processing. This practice was developed by the Space Research Institute NASU-SSAU, Ukraine.