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Digital Elevation Models

Authors: Croneborg, Louise; Saito, Keiko; Matera, Michel; McKeown, Don; van Aardt, Jan;

Digital Elevation Models

Abstract

Digital elevation models (DEMs) represents the elevation of the earth’s surface in the form of a digital image where each pixel contains an elevation value of the center point of the pixel. DEMs are a primary input to any modeling or process quantification involving the earth’s topography and are used across several areas of development. Access to elevation, and slope maps enable responders to assess where floods will infill the landscape, create inaccessible areas, or create health risks, example, cholera. DEMs are also used prominently in infrastructure planning and mapping; road design and construction for transportation; urban environmental planning to assess construction, drainage, and green landscaping; agriculture planting and irrigation strategies; ecological modeling to assess ecosystem flora and fauna; and geological applications such as seismic and coastal monitoring. Accurate elevation information is therefore key for a wide range of development projects related to poverty reduction, urban development, water management, and other concerns. Thus, the ability to design and commission or acquire DEMs is increasing in relevance across the globe. This DEMs guidance note aims to: (a) provide sufficient information to understand the overall processes involved in the acquisition of DEMs and their uses, and (b) inform and guide the decision-making criteria; different design and implementation strategies; and options and costs that exist when acquiring DEMs.

Country
United States
Related Organizations
Keywords

SURFACE DATA, DISASTER RISK MANAGEMENT, COMMERCIAL FORESTRY, 550, WATER RESOURCE MANAGEMENT, FLOOD RISK, URBAN DEVELOPMENT, MAPPING, EARTHQUAKE RISK

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green