Extracting Digital Elevation Model by Artaime Abdalla (9 results)

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Taschenbuch. Condition: Neu. Extracting Digital Elevation Model from UAV Digital Surface Model | "NASA" "Unmanned Aerial Vehicle" | Abdalla Artaime | Taschenbuch | 56 S. | Englisch | 2016 | Scholars' Press | EAN 9783639864922 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Artaime AbdallaPhD. in Electronic Engineering , MUN, Canada. Master of Communications Engineering The Libyan Academy, Tripoli, Libya. Bachelor of Electrical Engineering- Major of Communications College of Electronics Technology- Bani.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Detailed forest information is increasingly coveted not only for forest administration Purposes but also for preserving and consolidating possible forest ecosystems, Although accurate measurements of forests can be collected by field measurements, they are labor heavy and time exhaustion especially when gain enough measurements over great and heterogeneous forest areas. Therefore we need automated and accurate systems which can supplement field measurements. High spatial resolution remotely sensed data can be used for this goal because incubating technologies keep increasing spatial resolution and make it possible to handle great amounts of remotely sensed digital data by strong computers at feasible prices. Although high spatial resolution remotely sensed data holds the potential to be a valuable source of information for forest features, a number of challenges still exist in extracting the required information from this data. Therefore, it is ticklish to develop and improve automated methods to extract forest information. ' NASA'VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Detailed forest information is increasingly coveted not only for forest administration Purposes but also for preserving and consolidating possible forest ecosystems, Although accurate measurements of forests can be collected by field measurements, they are labor heavy and time exhaustion especially when gain enough measurements over great and heterogeneous forest areas. Therefore we need automated and accurate systems which can supplement field measurements. High spatial resolution remotely sensed data can be used for this goal because incubating technologies keep increasing spatial resolution and make it possible to handle great amounts of remotely sensed digital data by strong computers at feasible prices. Although high spatial resolution remotely sensed data holds the potential to be a valuable source of information for forest features, a number of challenges still exist in extracting the required information from this data. Therefore, it is ticklish to develop and improve automated methods to extract forest information. ' NASA'.