A5015014263- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Arctic and Antarctic ice dynamics
- Remote Sensing and LiDAR Applications
- Cryospheric studies and observations
- Marine and coastal ecosystems
- Climate change and permafrost
- Marine and coastal plant biology
- Conservation, Biodiversity, and Resource Management
- Hydrology and Watershed Management Studies
- Atmospheric and Environmental Gas Dynamics
- Aquatic Ecosystems and Phytoplankton Dynamics
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Coastal and Marine Management
- Soil Moisture and Remote Sensing
- Marine Biology and Ecology Research
- Methane Hydrates and Related Phenomena
- Flood Risk Assessment and Management
- Landslides and related hazards
- Coastal wetland ecosystem dynamics
- Water Quality Monitoring and Analysis
- Soil Geostatistics and Mapping
- Leaf Properties and Growth Measurement
- Marine and fisheries research
Kiel University
2016-2025
Ludwig-Maximilians-Universität München
1998-2007
Institut für Urheber- und Medienrecht
1998
Consistent, cross-mission retrievals of near-surface concentration chlorophyll-a (Chla) in various aquatic ecosystems with broad ranges trophic levels have long been a complex undertaking. Here, we introduce machine-learning model, the Mixture Density Network (MDN), that largely outperforms existing algorithms when applied across different bio-optical regimes inland and coastal waters. The model is trained validated using sizeable database co-located Chla measurements (n = 2943) situ...
Year-round observations of the physical snow and ice properties processes that govern pack evolution its interaction with atmosphere ocean were conducted during Multidisciplinary drifting Observatory for Study Arctic Climate (MOSAiC) expedition research vessel Polarstern in Ocean from October 2019 to September 2020. This work was embedded into interdisciplinary design 5 MOSAiC teams, studying atmosphere, sea ice, ocean, ecosystem, biogeochemical processes. The overall aim characterize cover...
Atmospheric correction over inland and coastal waters is one of the major remaining challenges in aquatic remote sensing, often hindering quantitative retrieval biogeochemical variables analysis their spatial temporal variability within environments. The Correction Intercomparison Exercise (ACIX-Aqua), a joint NASA – ESA activity, was initiated to enable thorough evaluation eight state-of-the-art atmospheric (AC) processors available for Landsat-8 Sentinel-2 data processing. Over 1000...
Over the past few decades, clearing for shrimp farming has caused severe losses of mangroves in Mekong Delta (MD) Vietnam. Although increasing importance aquaculture Vietnam brought significant financial benefits to local communities, rapid and largely uncontrolled increase aquacultural area contributed a considerable loss mangrove forests environmental degradation. different approaches have been used classification, no approach date addressed challenges special conditions that can be found...
A rapid increase in the world’s population over last century has triggered transformation of earth surface, especially urban areas, where more than half global live. Ghana is no exception and a high growth rate, coupled with economic development three decades, transformed Greater Accra region into hotspot for massive growth. The extent expanded extensively, mainly at expense vegetative cover region. Although urbanization presents several opportunities, environmental social problems cannot be...
Satellite remote sensing may assist in meeting the needs of lake monitoring. In this study, we aim to evaluate potential Sentinel-2 assess and monitor water constituents bottom characteristics lakes at spatio-temporal synoptic scales. a field campaign Lake Starnberg, Germany, collected validation data concurrently Sentinel-2A (S2-A) overpass. We compared results three different atmospheric corrections, i.e., Sen2Cor, ACOLITE MIP, with situ reflectance measurements, whereof MIP performed best...
Information on the quantity and spatial distribution of canopy physiological biochemical components is importance for study nutrient cycles, productivity, vegetation stress and, more recently, in driving ecosystem models. In this context, remote sensing can play a unique essential role because its ability to acquire synoptic information at different time space scales. This paper presents parts two-year field laboratory with new airborne hyperspectral sensor, Airborne Visible near Infrared...
Abstract Integrated river basin models should provide a spatially distributed representation of hydrology and transport processes to allow for implementing specific management conservation measures. To accomplish this, the Soil Water Assessment Tool (SWAT) was modified by integrating landscape routing model simulate water flow across discretized units. This paper presents grid‐based version SWAT that has been developed enhance spatial processes. The uses new separation index considers...
Traditional studies on mapping wet snow cover extent (SCE) often feature limitations, especially in vegetated and mountainous areas. The aim of this study is to propose a new total SCE strategy based freely accessible spaceborne synthetic aperture radar (SAR) data. approach transferable global scale as well for different land types (including densely forest agricultural regions), the use backscattering coefficient, interferometric SAR coherence, polarimetric parameters. Furthermore, four...
A multilayer perceptron neural network cloud mask for Meteosat Second Generation SEVIRI (Spinning Enhanced Visible and Infrared Imager) images is introduced evaluated. The model trained detection on MSG daytime data. It consists of a multi-layer with one hidden sigmoid layer, the error back-propagation algorithm. fed by six bands data (0.6, 0.8, 1.6, 3.9, 6.2 10.8 μm) 10 nodes. multiple-layer perceptrons lead to accuracy 88.96%, when map two predefined values that classify clear sky. was...
Knowledge of the location and extent agricultural fields is required for many applications, including statistics, environmental monitoring, administrative policies. Furthermore, mapping such as object-based classification, crop type distinction, or large-scale yield prediction benefit significantly from accurate delineation fields. Still, most existing field maps observation systems rely on historic labor-intensive campaigns. These are often expensive to maintain quickly become outdated,...
Changes and disturbances to water diversity quality are complex multi-scale in space time. Although situ methods provide detailed point information on the condition of bodies, they limited use for making area-based monitoring over time, as aquatic ecosystems extremely dynamic. Remote sensing (RS) provides data cost-effective, comprehensive, continuous standardised characteristics changes from local regional scales scale entire continents. In order apply better understand RS techniques their...
Grassland contributes to carbon storage and animal feed production. Its yield is largely determined by the cutting times of grassland. Previous studies have used remote sensing data for grassland biomass estimation, but only a few focused on SAR approaches automatic status detection. Due occurrence multiple cuttings in year, it crucial effectively monitor events order achieve accurate estimations whole season. In this study, we examined capabilities multilayer perceptron neural networks...
Marine litter is a global problem that requires soon management and design of mitigation strategies. monitoring an essential step to assess the abundances, distributions, sinks hotspots pollution as well effectiveness measures. However, these need be time cost-efficient, fit for purpose context, provide standardized methodology suitable comparison among surveys. In Europe, Strategy Framework Directive (MSFD) provides structure effective implementation long-term monitoring. For beaches,...
The Upper Parana Atlantic Forest (BAAPA) in Paraguay is one of the most threatened tropical forests world. rapid growth deforestation has resulted loss 91% its original cover. Numerous efforts have been made to halt activities, however farmers’ perception towards forest and benefits not considered either studies conducted so far or by policy makers. This research provides first multi-temporal analysis dynamics within BAAPA region on hand, assesses way farmers perceive how this influences...