A5012258937- Land Use and Ecosystem Services
- Impact of Light on Environment and Health
- Geographic Information Systems Studies
- Remote-Sensing Image Classification
- Urban Heat Island Mitigation
- Human Mobility and Location-Based Analysis
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- 3D Modeling in Geospatial Applications
- Satellite Image Processing and Photogrammetry
- Distributed and Parallel Computing Systems
- Arctic and Russian Policy Studies
- Advanced Computational Techniques and Applications
- Big Data Technologies and Applications
- Soil Geostatistics and Mapping
- Synthetic Aperture Radar (SAR) Applications and Techniques
- demographic modeling and climate adaptation
- Geochemistry and Geologic Mapping
- Economic Zones and Regional Development
- Wind and Air Flow Studies
- Flood Risk Assessment and Management
- Atmospheric and Environmental Gas Dynamics
- Ecology, Conservation, and Geographical Studies
- 3D Surveying and Cultural Heritage
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2015-2024
University of Würzburg
2010-2012
Chemnitz University of Technology
2002
Abstract. In this paper, we describe the PALM model system 6.0. (formerly an abbreviation for Parallelized Large-eddy Simulation Model and now independent name) is a Fortran-based code has been applied studying variety of atmospheric oceanic boundary layers about 20 years. The optimized use on massively parallel computer architectures. This follow-up paper to 4.0 description in Maronga et al. (2015). During last years, significantly improved offers new components. particular, much effort was...
Abstract Human settlements are the cause and consequence of most environmental societal changes on Earth; however, their location extent is still under debate. We provide here a new 10 m resolution (0.32 arc sec) global map human Earth for year 2015, namely World Settlement Footprint 2015 (WSF2015). The raster dataset has been generated by means an advanced classification system which, first time, jointly exploits open-and-free optical radar satellite imagery. WSF2015 validated against...
Settlements, and in particular cities, are at the center of key future challenges related to global change sustainable development. Widely used indicators assess efficiency sustainability settlement development compactness density built-up area. However, scale, a temporally consistent spatially detailed survey distribution concentration building stock – meaning total area volume buildings within defined spatial unit or settlement, commonly referred as does not yet exist. To fill this data...
The overarching goal of this research was to explore accurate methods mapping irrigated crops, where digital cadastre information is unavailable: (a) Boundary separation by object-oriented image segmentation using very high spatial resolution (2.5–5 m) data followed (b) identification crops and crop rotations means phenology, tasselled cap, rule-based classification (15–30 bi-temporal data. extensive cotton production system the Khorezm province in Uzbekistan, Central Asia, selected as a...
Soil information with high spatial and temporal resolution is crucial to assess potential soil degradation achieve sustainable productivity ultimately food security. The of existing maps can commonly be too coarse account for local variations owing the cost resource needs required update these lack information. With improved computational processing capabilities, increased data storage most recently, increasing amount freely available (e.g. Landsat, Sentinel-2A/B), remote sensing imagery...
The TerraSAR-X (TSX) mission provides a distinguished collection of high resolution satellite images that shows great promise for global monitoring human settlements. Hence, the German Aerospace Center (DLR) has developed Urban Footprint Processor (UFP) represents an operational framework mapping built-up areas based on mass processing and analysis TSX imagery. UFP includes functionalities data management, feature extraction, unsupervised classification, mosaicking, post-editing. Based...
In the production of gridded population maps, remotely sensed, human settlement datasets rank among most important geographical factors to estimate densities and distributions at regional global scales. Within this context, German Aerospace Centre (DLR) has developed a new suite layers, which accurately describe built-up environment its characteristics high spatial resolution: (i) World Settlement Footprint 2015 layer (WSF-2015), binary mask; (ii) experimental Density (WSF-2015-Density),...
Abstract. The PALM model system 6.0 is designed to simulate micro- and mesoscale flow dynamics in realistic urban environments. simulation results can be very valuable for various applications, example develop improve mitigation strategies related heat stress or air pollution. For the accurate modelling of environments, boundary conditions need considered atmosphere, local environment soil. with its geospatial components described static driver follows a standardized format. main input...
Over the past decades, solar panels have been widely used to harvest energy owing decreased cost of silicon-based photovoltaic (PV) modules, and therefore it is essential remotely map monitor presence PV modules. Many studies explored on module detection based color aerial photography manual photo interpretation. Imaging spectroscopy data are capable providing detailed spectral information identify features PV, thus potentially become a promising resource for automated operational detection....
Abstract. In this paper we describe the PALM model system 6.0. is a Fortran based code and has been applied for studying variety of atmospheric oceanic boundary layers about 20 years. The optimized use on massively parallel computer architectures. This follow-up to 4.0 description in Maronga et al. (2015). During last years, significantly improved now offers new components. particular, much effort was made enhance by components needed applications urban environments, like fully interactive...
The European Sentinel missions and the latest generation of United States Landsat satellites provide new opportunities for global environmental monitoring. They acquire imagery at spatial resolutions between 10 60 m in a temporal coverage that could before only be realized on basis lower resolution Earth observation data (>250 m). However, images gathered by these modern rapidly add up to volume can no longer handled with standard work stations software solutions. Hence, this contribution...
Continental to global scale mapping of the human settlement extent based on earth observation satellite data has made considerable progress. Nevertheless, current approaches only provide a two-dimensional representation built environment. Therewith, full characterization is restricted in terms urban morphology and built-up density, which can be gained by detailed examination vertical extent. This paper introduces methodology for extraction three-dimensional (3D) information settlements...
The digital transformation taking place in all areas of life has led to a massive increase data – particular, related the places where and ways how we live. To facilitate an exploration new opportunities arising from this development Urban Thematic Exploitation Platform (U-TEP) been set-up. This enabling instrument represents virtual environment that combines open access multi-source repositories with dedicated processing, analysis visualisation functionalities. Moreover, it includes...
The field of human population mapping is constantly evolving, leveraging the increasing availability high-resolution satellite imagery and advancements in machine learning. In recent years, emergence global built-area datasets that accurately describe extent, location, characteristics settlements has facilitated production new grids, with improved quality, accuracy, spatial resolution. this research, we explore capabilities novel World Settlement Footprint 2019 Imperviousness layer...
Abstract Buildings provide indispensable services for human well‐being, but their construction and use are responsible a substantial fraction of societies’ resource requirements greenhouse gas emissions. Mapping quantifying the material stocks in buildings is key research frontier industrial ecology. Reliable spatially highly resolved maps worldwide so far not available. Existing approaches based on nighttime light data allow large‐scale coverage, spatial resolution usually ∼0.5–1 km. Other...
Geo-information on settlements from Earth Observation offers a base for objective and scalable monitoring of the evolution cities settlements, including their location, extent other attributes. In this work, we deploy best available global knowledge presence human built-up structures derived to advance understanding Earth. We start concept Generalised Settlement Area identify surface within which any structure is present. further characterise resulted map by using an agreement among state...
"Leaving no one behind" is the fundamental objective of 2030 Agenda for Sustainable Development. Latin America and Caribbean marked by social inequalities, whilst its total population projected to increase almost 760 million 2050. In this context, contemporary spatially detailed datasets that accurately capture distribution residential are critical appropriately inform support environmental, health, developmental applications at subnational levels. Existing under-utilised governments due...
Large-scale gridded population datasets available at the global or continental scale have become an important source of information in applications related to sustainable development. In recent years, emergence new models has leveraged inclusion more accurate and spatially detailed proxy layers describing built-up environment (e.g., built-area building footprint datasets), enhancing quality, accuracy spatial resolution existing products. However, due consistent lack vertical functional on...
Nowadays, there is a clear evidence that climate change poses serious challenges to urban areas and their growing population, e.g. increasing occurrence of heat waves, drought, heavy precipitation, cyclones extreme high sea level events. These changes will affect physical infrastructure, water supply, energy provision, transport industrial production, hence resulting in variety ripple effects across different sectors the city life. In this context, Earth observation (EO) has proven be an...