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Written by Matt Ball
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 Elevation is a critical component of any earth observation, and elevation data is frequently used for a wide variety of applications. Until recently, however, the available large-scale elevation datasets lacked precision and were outdated – some of the most-used data was more than 50 years old. Intermap Technologies, one of the companies most actively exploring and taking advantage of new opportunities in the elevation data space, has developed a highly accurate statewide elevation dataset for California leading to innovative developments in land use planning and floodplain mapping.
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The requirements on Geographic Information Systems (GIS) have
originally been focused on data capturing and mapping functionalities.
Current analyses state very clearly, that 80% of all technical business
processes are related with geospatial questions. That’s why an
intelligent Pipeline Integrity Management System (PIMS) is more than
reasonable for pipeline operators, and we introduce a GIS
and geodata-based PIMS which makes it possible to establish a pipeline
integrity management system.
Cicilia
Friberg and Per Olsson work as surveyors for the Stenungsunds
community in Sweden. In only 50 years Stenungsund has changed from a
quiet summer resort into a regional business centre. The population
today is four times what it used to be. With this constant expansion
it is up to the local surveying department to keep all the survey
data on this developing region up-to-date.
The Constitution of the United States requires a census to be taken regularly to determine congressional apportionment, Electoral College voting and government funding. With the information gathered, the Census Bureau seeks to be the leading source of quality data about the nation's people and economy, and the need to understand and geospatially represent the growing quantities of data requires adequate data management.
Two of the fundamental questions
natural resource managers should pose to themselves from time to time
are: “What is it that is being managed and over what time frame?”.
In this article I will delve into these questions using the boreal forest
as an example and consider the consequences of the answers for
natural resource data management.