el beni - copernicus ems · 2019-12-12 · p l ansf o rth em u dci(t ,s a y r b q guanay) will be...
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![Page 1: El Beni - Copernicus EMS · 2019-12-12 · p l ansf o rth em u dci(T ,S A Y R b q Guanay) will be part of the analysis. Delivery formats are GeoTIFF, GeoPDF, GeoJPEG and vectors (shapefile](https://reader033.vdocuments.mx/reader033/viewer/2022041815/5e5a86deaa55341a9b725f0a/html5/thumbnails/1.jpg)
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000 GLIDE number: N/A
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San Miguel
Grande
San Martin
Beni
Madre de Dios
Trinidad
CochabambaCochabamba
La Paz
Pando
SantaCruz
Rondônia
03 04
01 02
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Brazil
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Production date: 25/10/2014
Cartographic Information
1:150000
±Grid: WGS 1984 UTM Zone 20S map coordinate system
Full color ISO A1, medium resolution (200 dpi)
LegendTick marks: WGS 84 geographical coordinate system
Product N.: 01RioMamore, v1Activation ID: EMSN-014
Civil ProtectionMitigationDelineation Map 2014 - OverviewPlanningLandsat © USGS01-11-2014Flood
0 6 123km
Rio Mamoré - BOLIVIAFlood risk assessment - 01/11/2014
Map products available at http://emergency.copernicus.eu/mapping/list-of-components/EMSN014
Tile 05Area of Interest - Overview -
Crisis InformationFlooded Area (Feb-Mar 2014)
General InformationArea of InterestSensor Footprint
Settlements! Populated Place
Built-Up AreaHydrology
RiverLake
PhysiographyContour lines and elevation (m)
TransportationPrimary RoadLocal Road
Land
sat-8
(19/0
2/201
4)
Land
sat-8
(05/0
8/201
4)
Mamo
réEl Beni Bolivia
El Beni
Delineation Map 2014 - Overview Tile 05
The present map shows the flood delineation during the most critical period of the rainyseason in February-March 2014 in the area of Mamoré River in El Beni Department(BOLIVIA). The basic topographic features are derived from public datasets, refined bymeans of visual interpretation of Landsat-8 imagery acquired during Summer 2014.The thematic layer, assessing the delineation of the event at its peak, has been derived frompost-event Landsat-8 images acquired on 19/02/2014. Please note that Landsat-7 imageshave also been used to cover in particular the West part of the Area of Interest, but they arenot usable for map display.All satellite images have been radiometrically enhanced and orthocorrected with RPCapproach (using SRTM elevation data).The estimated geometric accuracy of this product is 90 m CE90 or better, from nativepositional accuracy of the background satellite image.The estimated thematic accuracy of this product is 85% or better, as it is based on visualinterpretation of recognizable items on high resolution optical imagery. Shadowed areas arezones of lower interpretation accuracy due to the poorer image radiometry. Some floodedareas hidden by clouds may not have been extracted.Only the area enclosed by the Area of Interest has been analyzed.Map produced on 25/10/2014 by SIRS under contract 257219 with the EuropeanCommission. All products are © of the European Commission.Name of the release inspector (quality control): SIRS (ODO).
The products elaborated in the framework of current mapping in non-rush mode activation arerealized to the best of our ability, within a relative short time frame, optimising the availabledata and information. All geographic information has limitations due to scale, resolution, dateand interpretation of the original data sources. The products are compliant with GIO-EMSNON-RUSH Product Portfolio specifications.
The northern territories of Bolivia are regularly affected by massive flooding during the rainyseason, which runs from October to April. Departments El Beni and La Paz (northern part)are particularly exposed because of extensive wetlands and the presence of large rivers suchas Beni and Mamore. During the past decade, the floods which occurred in 2008 and 2014appear to be the most significant events.Local authorities express the need to better know the areas prone to floods and vulnerabilityof populations and infrastructure. Proposals related to protection measures and evacuationplans for the most populated locations (Trinidad, Santa Ana del Yacuma, Rurrenabaque andGuanay) will be part of the analysis.
Delivery formats are GeoTIFF, GeoPDF, GeoJPEG and vectors (shapefile and KML formats).
Inset maps based on: Administrative boundaries (JRC 2013), Hydrology, Transportation(Natural Earth, 2012), Settlements (Geonames, 2013).Post-event images: Landsat-8 © U.S. Geological Survey (acquired on 19/02/2014, GSD 15m, approx. 25% cloud coverage) - Landsat-7 © U.S. Geological Survey (acquired on 18/02 -07/04/2014, GSD 30 m, approx. 25% cloud coverage).Reference images: Landsat-8 © U.S. Geological Survey (acquired on 13/07 - 05/08/2014,GSD 15 m, approx. 5% cloud coverage).Base vector layers based on OpenStreetMap © OpenStreetMap contributors, Wikimapia.org,GeoNames (approx. 1:10:000, extracted on 01/10/2014), refined by SIRS. Source informationis included in vector data.Elevation data: SRTM (90m posting). Height in meters above mean sea level.All Data sources are complete and with no gaps.
Data Sources
Map Information
Dissemination/Publication
Framework
Map Production