
Marianne Jilge- Dr. rer. nat.
- Remote Sensing Team at North Rhine Westphalian State Agency for Nature, Environment and Consumer Protection (LANUV-NRW)
Marianne Jilge
- Dr. rer. nat.
- Remote Sensing Team at North Rhine Westphalian State Agency for Nature, Environment and Consumer Protection (LANUV-NRW)
About
24
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Introduction
Skills and Expertise
Current institution
Remote Sensing Team at North Rhine Westphalian State Agency for Nature, Environment and Consumer Protection (LANUV-NRW)
Publications
Publications (24)
Spectral libraries play a major role in imaging spectroscopy. They are commonly used to store end-member and spectrally pure material spectra, which are primarily used for mapping or unmixing purposes. However, the development of spectral libraries is time consuming and usually sensor and site dependent. Spectral libraries are therefore often devel...
Building libraries of reference spectra for detailed mapping of urban areas at the level of building materials or plant species requires substantial effort. While in the last 15 years many approaches have been proposed to automatically extract pure material spectra from airborne hyperspectral imagery, the labeling of such spectra remains a tedious...
Knowledge about the spatial and temporal distribution of exposed soils is necessary for e.g., soil erosion mitigation. Earth Observation (EO) is a valuable data source for detecting exposed soils on a large scale. In the last couple of years, the multitemporal compositing technique has been used for the generation of so-called exposed soil composit...
Many studies analyzing spaceborne hyperspectral images (HSIs) have so far struggled to deal with a lack of pure pixels due to complex mixtures of urban surface materials. Recently, an alternative concept of gradients in urban surface material composition has been proposed and successfully applied to map cities with spaceborne HSIs without the requi...
The material composition of urban areas is important for urban climate modeling and urban canopy models. Since 2018, a few spaceborne imaging spectrometers have been launched such as the DESIS instrument on the ISS and the Italian PRISMA. The spatial resolution of these systems is around 30 m, which is in many cases not sufficient for urban applica...
Due to the joint effort of environmental institutes, there are a number of large-scale regional soil information systems such as the European Soil Database (Panagos, 2006), the Africa Soil Information Service (Hengl et al. 2015), the Soil Map of China (Shi et al., 2004) but also global maps such as the Soil Map of the World (FAO/UNESCO) and the Har...
This work focuses on the development of methods for mapping urban surface materials by means of imaging spectroscopy data with different spatial resolution. General findings from this work represent a sensor- and site-independent framework for the automated extraction of spectrally pure pixels using an urban image spectral library while coping with...
To understand processes in urban environments, such as urban energy fluxes or surface temperature patterns, it is important to map urban surface materials. Airborne imaging spectroscopy data have been successfully used to identify urban surface materials mainly based on unmixing algorithms. Upcoming spaceborne Imaging Spectrometers (IS), such as th...
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 characteri...
High spatial and temporal resolution soil information is crucial for monitoring long term changes to avoid soil degradation and ultimately to achieve sustainable food security. The Soil Composite Mapping Processor (SCMaP) is a new fully automated approach designed to make use of per-pixel bare-soil compositing. The SCMaP allows generating cloud-fre...
High resolution imaging spectroscopy data have been recognised as a valuable data resource for augmenting detailed material inventories that serve as input for various urban applications. Image-specific urban spectral libraries are successfully used in urban imaging spectroscopy studies. However, the regional- and sensor-specific transferability of...
The ongoing global transformation of human habitats from rural villages to ever growing urban agglomerations induces unprecedented seismic risks in earthquake prone regions. To mitigate affiliated perils requires the seismic assessment of built environments. Numerous studies emphasize that remote sensing can play a valuable role in supporting the e...
The usefulness of remote sensing (RS), geographical information systems, and ground observations for monitoring changes in urban areas has been demonstrated through many examples over the last two decades. Research has generally focused on the relief phase following a disaster, but we have instead investigated the subsequent phases involving early...
The usefulness of remote sensing (RS), geographical information systems, and ground observations for monitoring changes in urban areas has been demonstrated through many examples over the last two decades. Research has generally focused on the relief phase following a disaster, but we have instead investigated the subsequent phases involving early...
Ableitung und Darstellung der Bevölkerungsverteilung am Tag und in der Nacht für die Testgebiete München und Padang.