Research Land System Science

All landscape laboratories are visited as part of courses in the geography programme. The results collected in the landscape labs can be the basis for final theses and are sometimes also used in projects. The focus of each landscape laboratory varies due to the natural features of the area, but usually includes identical learning objectives and content depending on the semester of study.

Current projects

Zaziki

The aim of this project is to develop and evaluate resource-conserving and practical cultivation systems for sugar beet in the model region of Mitteldeutsches Revier in Saxony-Anhalt. The new cultivation

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DIP: SMART Agroforst

The “SMART Agroforestry” project aims to use digital tools to realise the added value of agroforestry systems (AFS) at farm and landscape level in southern Saxony-Anhalt. Strengthening agroforestry systems and

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DIP: FaiReSyst

The digital transformation, globalization, and demographic change pose challenges to the economy. The agricultural sector plays a significant role in the plant value chain and regional competitiveness. Given the noticeable

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CoolTown

Development of a remote sensing service to contribute to the mitigation of urban heat island effects and the adaptation of urban green spaces to drought and heat stress in the

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MIGRAWARE

The MIGRAWARE project aims to identify and analyse historical, current and future migration movements in West Africa. This analysis will be carried out against the background of the various drivers

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CASIB

The Project Office for Sustainable Innovations in Central Asia supports research and development projects between Germany and the Central Asian countries in the thematic areas of climate, environment and energy.

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Green Central Asia

Funded by the Federal Foreign Office of Germany, the CAWa-Green project in the “Green Central Asia Initiative” frame intends to contribute to a sound scientific and reliable regional data basis

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AgriSens DEMMIN 4.0

Der globale Wandel hat eine Reihe von Umweltveränderungen befördert, wie z.B. den Klimawandel, Veränderungen der Wasserressourcen, der chemischen Zusammensetzung der Atmosphäre, der Ökosysteme und letztendlich auch der landwirtschaftlichen Produktivität. Die

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BIOCULT

The current biodiversity crisis is particularly pronounced in the tropics, where demographic pressures are high and many ecosystems are vulnerable. Intact ecosystems provide important habitats for animals and plants, as

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GM-GDE

Groundwater resources are biodiversity hotspots and provide important ecosystem services. Groundwater-dependent ecosystems (GDEs) are exposed to anthropogenic threats such as climate change. In order to respond to these threats, the

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KendyrTex

The project focuses on the production of a cotton-like fibre quality that, as a blending partner, allows processing on locally available cotton textile machines. A German-Central Asian consortium of a

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PhenoSAR DEMMIN

The goal of the PhenoSAR Demmin project is to evaluate potential information inherent to the Sentinel-1 time series to monitor farmland. Hereby, a particular focus is set on phenological development.

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Recent publications

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Aweda, E.D., Okhimamhe, A.A., Obateru, R.O., Schuermann, A., Teucher, M. and Conrad, C. (2024) Assessing the Impacts of Migration on Land Degradation in the Savannah Region of Nigeria. Sustainability, 16, 8157. https://doi.org/10.3390/su16188157.
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El-Hokayem, L., De Vita, P., Lindau, A.-K. and Conrad, C. (2024) How Can Satellites Help Us Find Plants That Use Groundwater? Frontiers for Young Minds, 12, 1394341. https://doi.org/10.3389/frym.2024.1394341.
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Mahmood, T., Loew, J., Poehlitz, J., Wenzel, J.L. and Conrad, C. (2024) Estimation of 100 m Root Zone Soil Moisture by Downscaling 1 Km Soil Water Index with Machine Learning and Multiple Geodata. Environmental Monitoring and Assessment, 196, 823. https://doi.org/https://doi.org/10.1007/s10661-024-12969-5.
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Loew, J., Hill, S., Otte, I., Thiel, M., Ullmann, T. and Conrad, C. (2024) How Phenology Shapes Crop-Specific Sentinel-1 PolSAR Features and InSAR Coherence across Multiple Years and Orbits. Remote Sensing, 16, 2791. https://doi.org/10.3390/rs16152791.
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Vydra, C., Dietz, A.J., Roessler, S. and Conrad, C. (2024) The Influence of Snow Cover Variability on the Runoff in Syr Darya Headwater Catchments between 2000 and 2022 Based on the Analysis of Remote Sensing Time Series. Water, 16, 1902. https://doi.org/10.3390/w16131902.
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Obateru, R.O., Okhimamhe, A.A., Fashae, O.A., Aweda, E., Dragovich, D. and Conrad, C. (2024) Community-Based Assessment of the Dynamics of Urban Landscape Characteristics and Ecosystem Services in the Rainforest and Guinea Savanna Ecoregions of Nigeria. Journal of Environmental Management, 360, 121191. https://doi.org/10.1016/j.jenvman.2024.121191.
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Schuermann, A., Kleemann, J., Teucher, M. and Conrad, C. (2024) Mapping Socio-Environmental Vulnerability to Assess Rural Migration in Ghana. Applied Geography, 167, 103283. https://doi.org/10.1016/j.apgeog.2024.103283.
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Poehlitz, J., Schlüter, S. and Rücknagel, J. (2024) Short‐term Effects of Double‐layer Ploughing Reduced Tillage on Soil Structure and Crop Yield. Soil Use and Management, 40, e13043. https://doi.org/https://doi.org/10.1111/sum.13043.
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Mammadov, E., Denk, M., Mamedov, A.I. and Glaesser, C. (2024) Predicting Soil Properties for Agricultural Land in the Caucasus Mountains Using Mid-Infrared Spectroscopy. Land, 13, 154. https://doi.org/10.3390/land13020154.
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Mokua, R., Nadir, S., Melckzedeck, O. and Teucher, M. (2024) Integration of Remote Sensing in Watershed Studies: A Case Study of Chawia & Fururu Forested Watersheds in Taita Hills, Kenya. Kenya Aquatica Journal, 9, 75–90.

Ongoing Dissertations

  1. Barasso C Uncertainties in satellite-based global time-series of land use/land cover, Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, GeoKur
  2. El-Hokayem L   Identifying threathened groundwater dependent ecosystems as local biodiversity hotspots in Saxony-Anhalt and globally via remote sensing, Martin LutherUniversity Halle-Wittenberg & German Centre for Integrative Biodiversity Research (iDiv)
    Halle-Jena-Leipzig
    ,  GM-GDE
  3. Koza M Effects of agriculture on wind erosion in the dry steppe of Kazakhstan, Martin Luther University Halle-Wittenberg, ReKKS
  4. Loew J An evaluation of Sentinel-1 based PolSAR and InSAR time series for tracking crop phenology, Martin Luther University Halle-WittenbergPhenoSAR DEMMIN, AgriSens DEMMIN 4.0
  5. Piernicke T Application of Remote Sensing Technologies for Irrigation Strategies in Agriculture, Helmholtz Centre Potsdam
    GFZ German Research Centre for Geosciences, AgriSens DEMMIN 4.0
  6. Mahmood T Agricultural Monitoring using multi-temporal optical and SAR data in Complex Cropping Zone, Martin Luther University Halle-Wittenberg
  7. Reichmuth A Analysis of forest condition changes using multi-spectral time-series, Helmholtz-Zentrum für Umweltforschung GmbH – UFZ, Waldzustandsmonitor
  8. Schürmann A Assessing the drivers, factors, and routes of internal and cross-border migration in West Africa, Martin-Luther-Universität Halle-Wittenberg, MIGRAWARE
  9. Wenzel J Combining soil hydraulic properties with starch potato yield and quality parameters for an optimized intra-site irrigation management, Martin Luther University Halle-Wittenberg, AgriSens DEMMIN 4.0

Completed projects

ADRIANA

The sustainable use of natural geo-resources and the efficient use of valuable materials are gaining in importance worldwide. Against this background, anthropogenic deposits such as

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DSG

The German-language degree programme “Environmental Monitoring and Planning” has existed since 2007 and was originally conceived as a postgraduate programme. “Environmental Monitoring and Management”. The

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LANDSURF

The overall objective of the LANDSURF project is to develop a high-resolution, regional Earth System Model for West Africa (WESM), coupled to an ocean model

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Keine weiteren Projekte vorhanden

Completed dissertations

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Koza M (2024) Drivers and processes of soil erosion in the cultivated steppe of Kazakhstan. Martin-Luther-Universität Halle-Wittenberg
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Orynbaikyzy A (2023) Crop type classification using the combination of Sentinel-1 and Sentinel-2 data. Martin-Luther-University Halle-Wittemberg
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Tetteh G (2022) Optimal delineation of agricultural parcels from satellite imagery using the multiresolution segmentation algorithm. Martin-Luther-Universität Halle-Wittenberg
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Kaim A (2022) Adressing land use allocation problems in German agricultural landscapes by combining multi-criteria optimization with stakeholder preferences. Martin-Luther-Universität Halle-Wittenberg
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Kumar-Babu D (2021) Efficient Data Fusion Approaches for Remote Sensing Time Series Generation. Julius-Maximilians-Universität Würzburg
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Bauer C (2021) Spatio-temporal patterns of farmland abandonment in the irrigated lowlands of Amu Darya and Syr Darya – a retrospective analysis between 1987 and 2017 using remote sensing and geospatial data. Martin-Luther-Universität Halle-Wittenberg
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Vallentin C (2020) Remote Sensing for Precision Agriculture: Yield Mapping and Delineation of Management Zones with Multispectral Satellite lmagery and GIS Data. Technische Universität Berlin
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Dahms T (2020) Ableitung von biophysikalischen Parametern aus fusionierten hochfrequenten fernerkundlichen Zeitserien. Julius-Maximilians-Universität Würzburg
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Nisra G (2019) Remote Sensing of Vegetation Phenology by MODIS – challenges in data processing and validation by multispecies ground observations and LiDAR. Technische Universität
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Wohlfahrt C (2018) The Yellow River Basin in Transition: Multi‐faceted Land Cover Change Analysis in the Yellow River Basin in the Context of Global Change Using Multi‐sensor Remote Sensing Imagery. Julius-Maximilians-Universität Würzburg
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Knauer K (2018) Vegetation Dynamics in West Africa: Spatio-temporal Data Fusion for the Monitoring of Agricultural Expansion. Julius-Maximilians-Universität Würzburg
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Lewinska KE (2017) Multi-scale detection of drought impact on the mountain forest of South Tyrol. Universität Graz
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Ahmadian N (2017) Integrating Satellite Remote Sensing and In-situ Measurements to Estimate the Biophysical Parameters of Agricultural Crop using Multispectral and Radar Data. Universität Greifswald
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Marz M (2016) Identification and assessment of driving forces of land and soil degradation in the South African province of KwaZulu-Natal and the Kingdom of Swaziland. Martin-Luther-University Halle-Wittenberg
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Mahmoud MI (2016) Integrating geoinformation and socio-economic data for assessing urban land-use vulnerability to potential climate change impacts. Kwame Nkrumah University of Science and Technology Kumasi
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Knöfel P (2016) Optimierung der Energiebilanzmodellierung zur Ableitung der Evapotranspiration durch Entwicklung eines physikalischen Bodenwärmestromansatzes am Beispiel der Region Khorezm (Usbekistan). Julius-Maximilians-Universität Würzburg
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Zoungrana BJ-B (2016) Vegetation dynamics in the southwest of Burkina Faso in response to rainfall variability and land use. Kwame Nkrumah University of Science and Technology Kumasi
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Forkour G (2015) Mapping Landuse and Landuse Change Pathways in the Sudanian Savanna of West Africa. Julius-Maximilians-Universität Würzburg
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Löw F (2014) Agricultural crop mapping from multi-scale remote sensing data Concepts and applications in heterogeneous Middle Asian agricultural landscapes. Julius-Maximilians-Universität Würzburg
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Thiel M (2013) Nutzung von Texturinformationen hochaufgelöster SAR-Daten zur Beschreibung von Siedlungsflächen. Friedrich-Schiller-Universität Jena
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Schuster C (2013) Change Detection Analysis for the Monitoring of NATURA 2000 habitats using Rapid Eye and TerraSAR-X satellite data. Technische Universität Berlin
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Dietz A (2013) Central Asian Snow Cover Characteristics between 1986 and 2012 derived from Time Series of Medium Resolution Remote Sensing Data. Julius-Maximilians-Universität Würzburg
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Fritsch S (2013) Spatial and temporal patterns of crop yield and marginal land in the Aral Sea Basin: derivation by combining multi-scale and multi-temporal remote sensing data with a light use efficiency model. Julius-Maximilians-Universität Würzburg
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Dubovyk O (2013) Multi-scale targeting of land degradation in northern Uzbekistan using satellite remote sensing. Universität Bonn

The Department of Geoecology maintains four landscape laboratories that extend from the central and lower Harz mountains, the eastern Harz foreland, the Helme-Unstrut stratified plain and the Querfurt plate to the Finne on the one hand and to Mecklenburg-Western Pomerania in the north-eastern German lowlands on the other. The Central German drylands, loess landscapes as well as the young moraine landscape with typical periglacial landscape elements such as extensive, flat sandy areas, hills and depressions are covered.

The research topics include land use systems, water and landscape budgets in agricultural landscapes and small catchment areas. Specifically, long-term monitoring of runoff and water quality is conducted along the Salza River, and research is conducted at the TERENO site DEMMIN on remote sensing monitoring and the use of remote sensing for precision agriculture. The Agricultural and Food Research Centre (AEVZ) Merbitz is used to answer soil and agri-geographical questions. Accordingly, the landscape laboratories are equipped with field measurement technology and are sampled in campaigns on a regular or question-based basis.