A5013115652- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Geology and Paleoclimatology Research
- Land Use and Ecosystem Services
- Smart Agriculture and AI
- 3D Surveying and Cultural Heritage
- Species Distribution and Climate Change
- Geological Modeling and Analysis
- Geological formations and processes
- Archaeology and ancient environmental studies
- Forest ecology and management
- Archaeology and Historical Studies
- Geographic Information Systems Studies
- Image Processing and 3D Reconstruction
- Maritime and Coastal Archaeology
- Remote-Sensing Image Classification
- Archaeological Research and Protection
- Geochemistry and Geologic Mapping
- Forest Management and Policy
- Geophysical and Geoelectrical Methods
- Pleistocene-Era Hominins and Archaeology
- Infrared Target Detection Methodologies
- earthquake and tectonic studies
- Advanced Image Fusion Techniques
- Soil Geostatistics and Mapping
University of Cologne
2015-2024
Koblenz University of Applied Sciences
2023
V. B. Sochava Institute of Geography
2017
Crop monitoring is important in precision agriculture. Estimating above-ground biomass helps to monitor crop vitality and predict yield. In this study, we estimated fresh dry on a summer barley test site with 18 cultivars two nitrogen (N)-treatments using the plant height (PH) from surface models (CSMs). The super-high resolution, multi-temporal (1 cm/pixel) CSMs were derived red, green, blue (RGB) images captured small unmanned aerial vehicle (UAV). Comparison PH reference measurements...
Monitoring grassland biomass throughout the growing season is of key importance in sustainable, site-specific management decisions. Precision agriculture applications can support these However, precision relies on timely and accurate information plant parameters with a high spatial temporal resolution. The use structural spectral features derived from unmanned aerial vehicle (UAV)-based image data low-cost sensors promising nondestructive approach to assess traits such as above-ground or...
Abstract. The trend to minimize electronic devices also accounts for Unmanned Airborne Vehicles (UAVs) as well sensor technologies and imaging devices. Consequently, it is not surprising that UAVs are already part of our daily life the current pace development will increase civil applications. A known wide spread example so called flying video game based on Parrot's AR.Drone which remotely controlled by an iPod, iPhone, or iPad (http://ardrone.parrot.com). latter can be considered a...
Abstract. Monitoring forage yield throughout the growing season is of key importance to support management decisions on grasslands/pastures. Especially intensely managed grasslands, where nitrogen fertilizer and/or manure are applied regularly, precision agriculture applications beneficial sustainable, site-specific treatment, grazing and forecasting mitigate potential negative impacts. To these decisions, timely accurate information needed plant parameters (e.g. yield) with a high spatial...
Abstract. Remote sensing of crop biomass is important in regard to precision agriculture, which aims improve nutrient use efficiency and develop better stress disease management. In this study, multi-temporal surface models (CSMs) were generated from UAV-based dense imaging order derive plant height distribution determine forage mass. The low-cost RGB was carried out a grassland experiment at the University Bonn, Germany, summer 2015. test site comprised three consecutive growths including...
The interdisciplinary Transregional Collaborative Research Center 32 (CRC/TR 32) works on exchange processes between soil, vegetation, and the adjacent atmospheric boundary layer (SVA). Within this research project a terrestrial laser scanning sensor is used in multitemporal approach for determining agricultural plant parameters. In contrast to other studies with phase-change or optical probe sensors, time-of-flight measurements are used. On three dates year 2008 sugar beet field (4.3 ha)...
Abstract Efficient monitoring of crop traits such as biomass and nitrogen uptake is essential for an optimal application fertilisers. However, currently available remote sensing approaches suffer from technical shortcomings, poor area efficiency, long postprocessing requirements the inability to capture ground canopy a single acquisition. To overcome LiDAR scanners mounted on unmanned aerial vehicles (UAV LiDAR) represent promising sensor technology. test potential this technology...
The Mejillones Peninsula is thought to have one of the highest rates tectonic uplift along active convergent margin northern Chile. We use exposure age dating from a flight well-preserved marine terraces determine long-term history part Peninsula. Terrace ages suggest area comprised discrete crustal blocks with differing chronologies. Periods reaching 0.60 ± 0.06 m/ka over last ∼480 ka are recorded on block, value that several-fold higher than typical for north Chilean coastline. Subsidence...
Short-wave infrared (SWIR) imaging systems with unmanned aerial vehicles (UAVs) are rarely used for remote sensing applications, like vegetation monitoring. The reasons that in the past, sensor covering SWIR range were too expensive, heavy, or not performing well enough, as, contrast, it is case visible and near-infrared (VNIR). Therefore, our main objective development of a novel modular two-channel multispectral system broad spectral sensitivity from to short-wave spectrum (approx. 400 nm...
The Atacama Desert is the driest and oldest desert on Earth. Despite abundance evidence for long-term landscape stability, there are subtle signs of localised fluvial erosion deposition since onset hyperaridity in rock record. In dry core Desert, pluvial episodes allowed antecedent drainage to incise into uplifting fault scarps, which turn generated sinuous meandering channels. Incision ancient alluvial fan surfaces occurred during intermittent periods, albeit without surface erosion....
Precise and timely information on biomass yield nitrogen uptake in intensively managed grasslands are essential for sustainable management decisions. Imaging sensors mounted unmanned aerial vehicles (UAVs) along with photogrammetric structure-from-motion processing can provide data crop traits rapidly non-destructively a high spatial resolution. The aim of this multi-temporal field study is to estimate aboveground dry matter (DMY), concentration (N%) (Nup) temperate from UAV-based image...
Remote sensing of crop biomass is important in regard to precision agriculture, which aims improve nutrient use efficiency and develop better stress disease management. In this study, multi-temporal surface models (CSMs) were generated from UAV-based dense imaging order derive plant height distribution determine forage mass. The low-cost RGB was carried out a grassland experiment at the University Bonn, Germany, summer 2015. test site comprised three consecutive growths including six...
UAV-based multispectral multi-camera systems are widely used in scientific research for non-destructive crop traits estimation to optimize agricultural management decisions. These typically provide data from the visible and near-infrared (VNIR) domain. However, several key absorption features related biomass nitrogen (N) located short-wave infrared (SWIR) Therefore, this study investigates a novel system prototype that addresses spectral gap with sensitivity 600 1700 nm by implementing...
Abstract. Hyperspectral remote sensing helps to acquire information about the status of agricultural crops allow optimized management practices in context precision agriculture. Due technological innovations small and lightweight hyperspectral sensors have become available which may be carried by unmanned aerial vehicles (UAVs). In this paper we give a brief overview over existing for UAVs. We focus on new type full-frame capture two dimensional image frames. then develop calibration...
Abstract Remote sensing systems based on unmanned aerial vehicles (UAVs) are well suited for airborne monitoring of small to medium-sized farmland in agricultural applications. An imaging system is often used the form a multispectral multi-camera derive well-established vegetation indices (VIs) efficiently. This study investigates potential such with novel approach extend spectral sensitivity from visible-to-near-infrared (VNIR) short-wave infrared (SWIR) (400–1700 nm) estimating forage mass...
Abstract. In the context of an increasing world population, demand for agricultural crops is continuously rising. Especially rice plays a key role in food security, not only Asia. To increase crop production rice, either productivity plants has to be improved or new cultivation areas have found. this context, our study investigated growth paddy (Oryza Sativa J.) Germany. An experimental field vegetation period 2014 with two nitrogen treatments was conducted using remote sensing methods. The...
ABSTRACT Throughout human history, communication and trade have been key to society. Because maritime facilitated the rapid transportation of passengers freight at relatively low cost, harbours became hubs for traffic, exchange. This general statement holds true Pergamenian kingdom, which ruled wide parts today's western Turkey during Hellenistic times. Its harbour, located city Elaia on eastern Aegean shore, was used extensively commercial military purposes. study reconstructs coastal...