Land-water masks: basis for automated pre- and thematic processing of remote sensing data

Earth observation data have become an outstanding basis for analyzing environmental aspects. The increasing availability of remote sensing data is accompanied by an increasing user demand. Within the scope of the COOPERNICUS-initiative, the automatic processing of remote sensing data is important for supplying value- added-information products. The use of additional data like land-water-masks in the context of deriving value-added information products can stabilize and improve the product quality of information products. The authors of this contribution would like to discuss different automated processing algorithms which are based on land-water masks for value-added data interpretation. These developments were supported or accompanied by Prof. Hartmut Asche.

Metadaten
Author details:	Erik Borg ORCiD GND, Bernd Fichtelmann GND
URN:	urn:nbn:de:kobv:517-opus4-103454
ISBN:	978-3-86956-389-3
ISSN:	2194–1599
ISSN:	2194–1602
Title of parent work (English):	Potsdamer Geographische Praxis
Publisher:	Universitätsverlag Potsdam
Place of publishing:	Potsdam
Publication type:	Article
Language:	English
Year of first publication:	2017
Publication year:	2017
Publishing institution:	Universität Potsdam
Creating corporation:	Fachgruppe Geoinformatik des Institutes für Geographie der Universität Potsdam
Release date:	2017/02/16
Issue:	12
First page:	77
Last Page:	99
Organizational units:	Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie
DDC classification:	3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften
Publishing method:	Universitätsverlag Potsdam
Collection(s):	Universität Potsdam / Schriftenreihen / Potsdamer Geographische Praxis, ISSN 2194-1602 / PGP (2017) 12
Institution name at the time of the publication:	Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geographie
License (German):	Keine öffentliche Lizenz: Unter Urheberrechtsschutz