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Airborne Remote Sensing for Environmental and Disaster Management Applications

Authors: Gstaiger, Veronika; Köhler, Claas Henning; Hochstaffl, Philipp; Bachmann, Martin; de los Reyes, Raquel; Holzwarth, Stefanie; Tian, Jiaojiao; +5 Authors

Airborne Remote Sensing for Environmental and Disaster Management Applications

Abstract

Abstract. As a national research institution, the German Aerospace Center (DLR) has the largest fleet of research aircraft in Europe and uses optical imaging systems to provide a valuable research basis for a wide range of applications in the fields of environment and climate, as well as global disaster management. Airborne remote sensing provides an independent database and is essential for developing and validating methods for satellite-based systems. This article gives a brief insight into the current research topics of DLR’s Earth Observation Center (EOC) with a focus on airborne remote sensing with regard to methane source analysis, water remote sensing, forestry, urban energy management and current disaster management missions, and shows how airborne remote sensing can contribute to the understanding and management of climate change.

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Keywords

Technology, T, Calibration, Water Remote Sensing, Airborne Remote Sensing, Forestry, Applied optics. Photonics, TA1-2040, Engineering (General). Civil engineering (General), Methane Detection, Disaster Management, TA1501-1820

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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
gold