A5051002421- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Climate change impacts on agriculture
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Environmental Conservation and Management
- Rangeland and Wildlife Management
- Urban Heat Island Mitigation
- Wildlife Ecology and Conservation
- Insect Utilization and Effects
- Water resources management and optimization
- Groundwater and Watershed Analysis
- Entomopathogenic Microorganisms in Pest Control
- Geophysics and Gravity Measurements
- Groundwater and Isotope Geochemistry
- Insect and Arachnid Ecology and Behavior
- Groundwater flow and contamination studies
- Wildlife-Road Interactions and Conservation
- Water-Energy-Food Nexus Studies
- Remote Sensing and Land Use
University of Würzburg
2018-2024
The fast and accurate yield estimates with the increasing availability variety of global satellite products rapid development new algorithms remain a goal for precision agriculture food security. However, consistency reliability suitable methodologies that provide crop outcomes still need to be explored. study investigates coupling modeling machine learning (ML) improve prediction winter wheat (WW) oil seed rape (OSR) provides examples Free State Bavaria (70,550 km 2 ), Germany, in 2019....
The increasing availability and variety of global satellite products provide a new level data with different spatial, temporal, spectral resolutions; however, identifying the most suited resolution for specific application consumes increasingly more time computation effort. region’s cloud coverage additionally influences choice best trade-off between spatial temporal resolution, pixel sizes remote sensing (RS) may hinder accurate monitoring land cover (LC) classes such as agriculture,...
The increasing availability and variety of global satellite products the rapid development new algorithms has provided great potential to generate a level data with different spatial, temporal, spectral resolutions. However, ability these synthetic spatiotemporal datasets accurately map monitor our planet on field or regional scale remains underexplored. This study aimed support future research efforts in estimating crop yields by identifying optimal spatial (10 m, 30 250 m) temporal (8 16...
Capturing the phenological responses of crops in diverse, small-scale agricultural systems is one most notable remote sensing research gaps Eastern Africa. Because heterogeneous and complex environments, methodologies successfully implemented elsewhere yield poor results The reliance on local rainfall dry spells can lead to alterations planting patterns, impacting growing season timing yield, underscoring importance high temporal resolution for capturing crop phenology. We generated a...
Abstract Climate and land‐use change are key drivers of environmental degradation in the Anthropocene, but too little is known about their interactive effects on biodiversity ecosystem services. Long‐term data trends currently lacking. Furthermore, previous ecological studies have rarely considered climate land use a joint design, did not achieve variable independence or lost statistical power by covering full range gradients. Here, we introduce multi‐scale space‐for‐time study design to...
This study compares the performance of five widely used crop growth models (CGMs): World Food Studies (WOFOST), Coalition for Environmentally Responsible Economies (CERES)-Wheat, AquaCrop, cropping systems simulation model (CropSyst), and semi-empiric light use efficiency approach (LUE) prediction winter wheat biomass on Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN) test site, Germany. The focuses remote sensing (RS) data, acquired in 2015, CGMs, as they...
During the past decade, carbon emission patterns due to groundwater pumping in central Punjab have changed enormously, and today sector is one of main contributors C-emissions. This study identifies critical blocks that should be aimed for reducing emissions economy. based on regional scale highlights various factors play crucial role contributing these emissions. Overlay analysis choropleth maps (tube well density, draft, depth C-emissions) showed SC-III zone was most Punjab. Blocks...
Rapid and accurate yield estimates at both field regional levels remain the goal of sustainable agriculture food security. Hereby, identification consistent reliable methodologies providing predictions is one hot topics in agricultural research. This study investigated relationship spatiotemporal fusion modelling using STRAFM on crop prediction for winter wheat (WW) oil-seed rape (OSR) a semi-empirical light use efficiency (LUE) model Free State Bavaria (70,550 km2), Germany, from 2001 to...
Summary Climate and land-use change are key drivers of environmental degradation in the Anthropocene, but too little is known about their interactive effects on biodiversity ecosystem services. Long-term data trends currently lacking. Furthermore, previous ecological studies have rarely considered climate land use a joint design, did not achieve variable independence or lost statistical power by covering full range gradients. Here, we introduce multi-scale space-for-time study design to...
European roe deer (Capreolus capreolus L.) are important given their economic, recreational and ecological value. However, uncontrolled numbers can result in negative impacts on forest regeneration agricultural crops, disease transmission occurrences of deer-vehicle collisions. Information the abundance distribution is needed for effective management. We combined distance sampling (DS) dung pellet groups with multiple variables to develop a density surface model (DSM) federal state Bavaria...