A5023922984- Remote Sensing in Agriculture
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Geophysics and Gravity Measurements
- Rangeland Management and Livestock Ecology
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Land Use and Ecosystem Services
- Oceanographic and Atmospheric Processes
- Hydrology and Drought Analysis
- Remote Sensing and Land Use
- Transboundary Water Resource Management
- Environmental Changes in China
- Remote-Sensing Image Classification
- Soil and Environmental Studies
- Geomagnetism and Paleomagnetism Studies
- GNSS positioning and interference
- Computational Physics and Python Applications
- Atmospheric and Environmental Gas Dynamics
- Tree-ring climate responses
- Water resources management and optimization
- Botany and Plant Ecology Studies
- Water-Energy-Food Nexus Studies
- Coastal and Marine Dynamics
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2014-2024
Dienstleistungszentrum Ländlicher Raum
2020
University of Würzburg
2012-2014
Arid and semiarid environments are susceptible to environmental degradation desertification. Modelling net primary productivity (NPP) analysis of spatio-temporal patterns help understand ecological functioning especially in these areas. In this study, we apply the Biosphere Energy Transfer Hydrology Model (BETHY/DLR) derive NPP for Kazakhstan 2003–2011. Results analyzed regarding spatial, monthly, inter-annual variations. Mean annual is 143 g C m−2 maximum reached June. Most monthly...
Accurate and timely information on the global cropland extent is critical for food security monitoring, water management earth system modeling. Principally, it allows analyzing satellite image time-series to assess crop conditions permits isolation of agricultural component focus impacts various climatic scenarios. However, despite its importance, accurate spatial extent, mapping with remote sensing imagery remains a major challenge. Following an exhaustive identification collection existing...
Inland surface water is often the most accessible freshwater source. As opposed to groundwater, replenished in a comparatively quick cycle, which makes this vital resource—if not overexploited—sustainable. From global perspective, plentiful. Still, depending on region, availability severely limited. Additionally, climate change and human interventions act as large-scale drivers cause dramatic changes established dynamics. Actions have be taken secure sustainable usage. This requires informed...
The understanding and assessment of surface water variability inland bodies, for example, due to climate human impact, requires steady continuous information about its inter- intra-annual dynamics. In this letter, we present an approach using dynamic threshold techniques utilizing time series generate a data set containing detected bodies on global scale with daily temporal resolution. Exemplary results the year 2013 that were based moderate resolution imaging spectroradiometer products are...
River deltas belong to the most densely settled places on earth. Although they only account for 5% of global land surface, over 550 million people live in deltas. These preferred livelihood locations, which feature flat terrain, fertile alluvial soils, access fluvial and marine resources, a rich wetland biodiversity other advantages are, however, threatened by numerous internal external processes. Socio-economic development, urbanization, climate change induced sea level rise, as well flood...
West Africa is a hot spot region for land–atmosphere coupling where atmospheric conditions and convective rainfall can strongly depend on surface characteristics. To investigate the effect of natural interannual vegetation changes African monsoon precipitation, we implement satellite-derived dynamical datasets fraction (VF), albedo leaf area index into Weather Research Forecasting model. Two sets 4-member ensembles with dynamic static land description are used to extract vegetation-related...
In this study, we present a fused multi-scale approach to model habitat suitability index (HSI) maps for three different locust species. The presented methodology was applied the Italian (Calliptamus italicus, CIT) in Pavlodar oblast, Northern Kazakhstan, Moroccan (Dociostaurus maroccanus, DMA) Turkistan South Kazakhstan and desert (Schistocerca gregaria) Awash river basin, Ethiopia, Djibouti, Somalia. main novelty is based on implementing results from ecological niche modelling (ENM) with...
The warming climate is threatening to alter inland water resources on a global scale. Within all waterbody types, lake and river systems are vital not only for natural ecosystems but, also, human society. Snowmelt phenology also altered by warming, snowmelt the primary supply source many around globe. Hence, (1) monitoring conditions, (2) tracking dynamics of snowmelt-influenced systems, (3) quantifying causal effect conditions these waterbodies critical understand cryo-hydrosphere...
Desert locust (Schistocerca gregaria) plagues threaten agricultural production, food security and the environment across Africa, Middle East, Southwest Asia. Control methods targeting adult desert locusts present significant challenges financial costs. Recognizing this, we developed a ground-breaking fuzzy set Mamdani type inference model that provides an innovative solution for early warning alerts. The aids in predicting juvenile stages of development, thereby preventing wide-scale...
Abstract Open surface water across the globe is essential for many life forms and an important source human settlements, agriculture, industry. The presence variation in time space influenced by different natural conditions (e.g. climate, topography, geology) use irrigation, flood protection). information on spatial temporal distribution of open fundamental disciplines also required as parameter hydrological climatological modelling. Here, we present a dataset derived from satellite earth...
Globally, the number of dams increased dramatically during 20th century. As a result, monitoring water levels and storage volume dam-reservoirs has become essential in order to understand resource availability amid changing climate drought patterns. Recent advancements remote sensing data show great potential for studies pertaining long-term reservoir variations. In this study, we used freely available products assess variations Lake Mead, Powell reservoirs California between 1984 2015....
In China, freshwater is an increasingly scarce resource and wetlands are under great pressure. This study focuses on China’s second largest lake in the middle reaches of Yangtze River—the Dongting Lake—and its surrounding wetlands, which declared a protected Ramsar site. The Lake area also research region focus within Sino-European Dragon Programme, aiming for international collaboration Earth Observation researchers. ESA’s Copernicus Programme enables comprehensive monitoring with area-wide...
Earth Observation satellite data allows for the monitoring of surface our planet at predefined intervals covering large areas. However, there is only one medium resolution sensor family in orbit that enables an observation time span 40 and more years a daily repeat interval. This AVHRR family. If we want to investigate long-term impacts climate change on environment, can do so based remains available several decades. then processes with respect change, need very high temporal enabling...
Negative impacts on agricultural activities by different locust species are well documented and have always been one of the major threats to food security livelihoods, especially for local communities. Locust management control led less frequent intense plagues outbreaks worldwide. However, political insecurity armed conflicts affect management, can as changing climate, land use contribute new outbreaks. In context increasing world population higher demand production, pests will remain high...
The assessment of water body dynamics is not only in itself a topic strong demand, but the presence bodies important information when it comes to derivation products such as land surface temperature, leaf area index, or snow/ice cover mapping from satellite data. For TIMELINE project, which aims derive for long time series Advanced Very High Resolution Radiometer (AVHRR) data Europe, precise masks are therefore an stand-alone product themselves, they also essential interstage layer, has be...
Abstract. Observations of changes in terrestrial water storage (TWS) obtained from the satellite mission GRACE (Gravity Recovery and Climate Experiment) have frequently been used for cycle studies improvement hydrological models by means calibration data assimilation. However, due to a low spatial resolution gravity field models, spatially localized changes, such as those occurring lakes reservoirs, cannot properly be represented estimates. As surface can represent large part total storage,...