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Publication . Article . Other literature type . 2020

TOWARDS AN INTEGRATED EARTH OBSERVATION SCIENCE IN A BIG EARTH DATA ERA

Thomas Blaschke;
Open Access
English
Published: 01 Feb 2020 Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (issn: 1682-1750, eissn: 2194-9034, Copyright policy )
Publisher: Copernicus Publications
Abstract
Abstract. Earth observation (EO) data – including satellite-borne, airborne or drone-based imagery – have become indispensable for the monitoring of the environment. EO supports tackling the ‘grand challenges’ at global spatial scales, such as global change and climate variability technology but also retail or insurance. Like a macroscope, it opens research avenues to observe processes occurring over a wide range of spatial and temporal scales, from abrupt changes such as earthquakes, to decadal shifts such as growth and shrinkage of ice sheets. Particularly satellite data became a success story and empowered individuals, businesses and society. Until a few years ago, the term remote sensing mainly stood for a digital raster world view while the GIS community was inclined to the vector world. “Earth Observation” seems to be integrative and to accommodate various means of data acquisition from satellites, aircrafts, drones, to in situ measurements. Today the rapid growth of data science, the consumerization of GIS and remote sensing, and the continued spread of online cartographic tools are prompting a more holistic Earth Observation Science and interdisciplinary educational programmes.
Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:Technology lcsh:T lcsh:Engineering (General). Civil engineering (General) lcsh:TA1-2040 lcsh:Applied optics. Photonics lcsh:TA1501-1820

Microsoft Academic Graph classification: Raster graphics computer.file_format computer Remote sensing (archaeology) Environmental resource management business.industry business Earth observation Geography Temporal scales Grand Challenges Global change Satellite data Drone

Related Organizations
15 references, page 1 of 2

Blaschke, T., 2006. The role of the spatial dimension within the framework of sustainable landscapes and natural capital.

Landscape and Urban Planning 75, 198-226.

Blaschke, T., Zeil, P., Strobl, J., Lang, S., Tiede, D., Möller, M., Triebnig, G., Schiller, C., Mittlböck, M., Resch, B,. 2007.

GMES: from research projects to operational environmental monitoring services. Intern. Archives of Photogrammetry, Remote Sensing and Spatial Inform. Sciences XXXVI-1/W51.

Blaschke, T., Zeil, P., Lang, S., Kienberger, S., Kammer, A., 2008. The policy framework GMES as a guideline for the integration of environmental security research and landscape sciences. In: Petrosilio, I., Müller, F., Jones, B., Krauze, K., LI, B.-L., Victorov, S., Zurlini, G., Kepner, W. (eds.), Use of landscape sciences for the assessment of environmental security, Springer, Berlin, New York, 57-73.

Addink, ……….. & Tiede, D. 2014. Geographic Object-based Image Analysis: a new paradigm in Remote Sensing and Geographic Information Science. ISPRS International Journal of Photogrammetry and Remote Sensing 87(1), 180-191.

Gore, A., 1998. The Digital Earth. Accessed September 28, 2019. http://www.digitalearthisde.org/userfiles/The_Digital_Earth_Understanding_our_planet _in_the_21st_Century.doc Hay, G.J. and Blaschke, T. 2010. Foreword special issue: Geographic Object-Based Image Analysis (GEOBIA).

Photogrammetric Engineering and Remote Sensing 76 (2), 121- 122.

United Nations. 2015a. RES/70/1. Transforming Our World.

The 2030 Agenda for Sustainable Development. Accessed July 02, 2018.

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