A5069739944- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Impact of Light on Environment and Health
- Geochemistry and Geologic Mapping
- Microplastics and Plastic Pollution
- Calibration and Measurement Techniques
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Spectroscopy and Chemometric Analyses
- Atmospheric and Environmental Gas Dynamics
- Atmospheric Ozone and Climate
- Municipal Solid Waste Management
- Advanced Image Fusion Techniques
- Climate Change and Health Impacts
- Water Quality Monitoring and Analysis
- Satellite Image Processing and Photogrammetry
- Solar Radiation and Photovoltaics
- Soil Geostatistics and Mapping
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Infrared Target Detection Methodologies
- Recycling and Waste Management Techniques
- Atmospheric aerosols and clouds
- Greenhouse Technology and Climate Control
- Air Quality and Health Impacts
- Remote Sensing and Land Use
GFZ Helmholtz Centre for Geosciences
2013-2025
European Space Research Institute
2015
Earth’s artificially lit area is expanding at 2.2% per year, with existing areas brightening by year.
Imaging spectroscopy, also known as hyperspectral remote sensing, is based on the characterization of Earth surface materials and processes through spectrally-resolved measurements light interacting with matter. The potential imaging spectroscopy for sensing has been demonstrated since 1980s. However, most developments applications in have largely relied airborne spectrometers, amount quality space-based data remain relatively low to date. upcoming Environmental Mapping Analysis Program...
The design of future Earth imaging systems, the optimization fundamental instrument parameters, and development evaluation data pre-processing scientific-exploitation algorithms require an accurate end-to-end simulation entire image generation processing chain. For this purpose, software EeteS has been developed within framework Environmental Mapping Analysis Program (EnMAP) mission. This paper presents approach implementation focusing on calibration pre-processing. sequential chain EnMAP...
In the upcoming years, many new remote sensing sensors will start operating in space. Sentinel-2 is certainly one of most outstanding systems that deliver a flood detailed and continuous data from Earth's surface during next years. However, heterogeneity recorded using different demands prelaunch activities to develop synergies for efficient multisensor analysis. this context, accurate sensor simulations are valuable tool enables meaningful intersensor comparison. This paper addresses...
Temporal variation of natural light sources such as airglow limits the ability night sensors to detect changes in small artificial (such villages). This study presents a method for correcting this effect globally, using satellite radiance detected from regions without emissions. We developed routine define an approximate grid locations worldwide that do not have regular emission. apply with 5 degree equally spaced global (total 2016 individual locations), data Visible Infrared Imaging...
The monitoring of agricultural areas is one the most important topics for remote sensing data analysis, especially to assist food security in future. To improve quality and quantify uncertainties, it high relevance understand spectral reflectivity regarding structural properties canopy. importance understanding influence plant canopy structure well established, but, due difficulty acquiring reflectance from numerous differently structured canopies, there still a need study dependencies...
The influence of plant and canopy architecture on bidirectional reflectance the distribution function (BRDF) is subject this paper. To understand BRDF-influenced signals, must be identified quantified, which requires detailed knowledge concerning structure BRDF observed canopies. In situ measurements canopies are time consuming depend availability a field goniometer. contrast to measurements, computer-based simulations offer an alternative approach that considers parameter-driven setups...
Background: Studies of the impact environmental pollutants on health outcomes can be compromised by mismeasured exposures or unmeasured confounding with other exposures. Both problems exacerbated measuring exposure from data sources low spatial resolution. Artificial light at night, for example, is often estimated low-resolution satellite images, which may result in substantial measurement error and increased correlation air noise pollution. Methods: Light night was considered simulated...
Changes in the total lit area and radiance of stably German federal states from 2012-2016 were investigated using Day-Night Band Visible Infrared Imaging Radiometer Suite. Most increased both radiance. The Bayern Schleswig-Holstein grew rapidly, at annual rates 9.7% 8.8% respectively. Thüringen was dramatically different other states, with a 4.5% decrease area, 17% areas. In least some cases, increases lighting associated transitions to LEDs, which may not be indicative transition towards...
Plastics are part of our everyday life, as they versatile materials and can be produced inexpensively. Approximately 10 Gt plastics have been to date, which the majority accumulated in landfills or spread into terrestrial aquatic environment an uncontrolled way. Once environment, plastic litter—in its large form degraded microplastics—causes several harms a variety species. Thus, detection waste is pressing research question remote sensing. The studies used Sentinel-2 WorldView-3 data...
The analysis of optical remote sensing images often requires a perfect pixel alignment between single bands. Even smallest deviations may degrade the accuracy subsequent parameter retrieval or lead to detection non-existing structures caused by artificial gradients. Hence, careful pre-processing is essential for minimizing spatial non-uniformities such as erroneous co-registration. results need be validated and assigned with quality flag that unfortunately still not common practice. In this...
Surface soil moisture content is one of the key variables used for many applications especially in hydrology, meteorology and agriculture. Hyperspectral remote sensing provides effective methodologies mapping over a broad area by different indices such as NSMI [1,2] SMGM [3]. Both can achieve high accuracy non-vegetation influenced samples, but their limited case presence vegetation. Since, increase vegetation cover leads to non-linear variations indices. In this study new methodology...
Potential toxic element (PTE) contamination in soils is a global problem that arises from various anthropogenic sources including industry, agriculture, and mining activities. These activities release elements into the environment, which can persist for long periods have detrimental effects on environment human health. Due to these concerns, there growing need remediation methods such as phytoremediation. Phytoremediation uses hyperaccumulator plants Brassica juncea (Indian Mustard)...
Plastics have become an indispensable part of our daily life. It is a group materials with outstanding properties for various products in wide range applications. They are durable, lightweight and cost-effective to manufacture. However, these advantages can develop disadvantages if plastics released into the environment uncontrolled large quantities. Here, both seas soils form final sink. Remote sensing has been used many decades observe earth's surface processes that take place on it. The...
<p>In the frame of science preparation activities for upcoming German hyperspectral satellite mission EnMAP, an airborne survey took place in September 2019 with VNIR-SWIR-LWIR data using HySpex sensor and newly acquired Hyper-Cam LWIR camera from GeoResearch Center Potsdam (GFZ) mounted on platform Cessna-T207A Free University Berlin (FUB). Although logistically complex conditions several teams distributed different locations, all sites central northern Greece could be...
HYPERedu provides online learning materials on principles, methods and applications of imaging spectroscopy at Masters level for students as well professionals that will be continuously extended complemented by an course series.
Imaging spectroscopy allows to identify and quantify water in different states based upon their discriminative absorption lines the solar spectrum. We developed a coupled columnar vapor (CWV) canopy content (CWC) retrieval method for spaceborne hyperspectral measurements like DESIS, PRISMA or upcoming EnMAP mission. linked MODTRAN radiative transfer code surface reflectance model on Beer-Lambert law quantified uncertainties using maximum likelihood estimation. simulated TOA radiances...
Measurements of reflected solar radiation by imaging spectrometers allow to quantify water in different states (solid, liquid, gas) thanks the discriminative absorption lines spectrum. We developed a retrieval method amount each three from spaceborne spectroscopy data, such as those German EnMAP mission. Our couples atmospheric radiative transfer simulations MODTRAN5 code surface reflectance model based on Beer-Lambert law. The is inverted per-pixel basis using maximum likelihood estimation...
Hyperspectral airborne campaigns have been carried out in the frame of data exploitation and application development program German Environmental Mapping Analysis Program (EnMAP) to support method prelaunch phase EnMAP satellite mission. A metadata portal (EnMAP Campaign Portal) has set up providing general information about campaigns, recorded hyperspectral sets, other associated respective like field laboratory measurements a number guides for - situ acquisition. Furthermore, it informs...