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Compositions of urban surface materials and their use for deriving urban structure types in 30m hyperspectral remote sensing data

Jilge, Marianne and Feilhauer, Hannes and Heiden, Uta and Neumann, Carsten and Jürgens, Carsten (2018) Compositions of urban surface materials and their use for deriving urban structure types in 30m hyperspectral remote sensing data. Whispers 2018, 24.-26. Sept 2018, Amsterdam, The Netherlands.

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Future spaceborne imaging spectrometers such as EnMAP allow for the monitoring the Earth’s surface and overcome the time- and cost critical limits of airborne based hyperspectral sensor systems. However, the spatial resolution of EnMAP is 30 m, which is in many cases not sufficient to provide essential information on urban areas that are characterized by a dense network of spectrally different objects. Given the spectral resolution of the EnMAP, this leads to complex mixtures. At the same time, the spectral resolution is an advantage and opens up new opportunities for urban analyses. Despite the spectral and spatial complexity of urban settlements, characteristic materials can be found in the composition of similar urban structures such as industrial areas, residential areas and open spaces. This study presents a new concept of spaceborne imaging spectroscopy data analyses. The presented strategy presumes that the composition of material mixtures changes gradually across urban spaces and thus, gradient analyses applied to urban areas could be a suitable methodology to derive surface material compositions. This information is important for urban weather and climate modeling and specifies the requirements to better describe urban canopy models. This study focuses on 1) the adaptation of gradient analysis from vegetation ecology to analyze gradual material transitions in the composition of urban surface materials and 2) the mapping of these material gradients in simulated EnMAP data of Munich, Germany, to identify characteristic material compositions. The Detrended Correspondence Analysis was used to analyze the similarities of material composition for a number of systematically distributed samples in a detailed material map. Results demonstrate the cooccurrences of urban materials along two urban gradients. The determined gradient scores serve as an indicator for the composition of urban surface materials in the respective sample. The resulting models were subsequently applied on the image data to map the gradients. These maps reveal a rural-to-urban transition and allow for a differentiation of urban structures with regard to the degree of imperviousness from the first gradient, as well as the differentiation of subtleties of relatively similar urban structures based on the patterns resulting from the second gradient. The results demonstrate that even in spaceborne hyperspectral remote sensing data detailed structural information is retained, which for the first time enables the identification of characteristic material compositions in very complex spectral mixtures.

Item URL in elib:https://elib.dlr.de/124307/
Document Type:Conference or Workshop Item (Speech)
Title:Compositions of urban surface materials and their use for deriving urban structure types in 30m hyperspectral remote sensing data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Jilge, MarianneMarianne.Jilge (at) dlr.deUNSPECIFIED
Feilhauer, Hanneshannes.feilhauer (at) fu-berlin.deUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Neumann, Carstencarstenn (at) gfz-potsdam.deUNSPECIFIED
Jürgens, CarstenUniversität BochumUNSPECIFIED
Date:September 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:urban, EnMAP, Gradients, surface materials, composition, hyperspectral, imaging spectroscopy, airborne, spaceborne
Event Title:Whispers 2018
Event Location:Amsterdam, The Netherlands
Event Type:international Conference
Event Dates:24.-26. Sept 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing, R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Heiden, Dr.rer.nat. Uta
Deposited On:06 Dec 2018 13:58
Last Modified:31 Jul 2019 20:21

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