Dissertationen / Geoökologie / Geo Institut Uni Halle / MLU

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23553912XDMJIQCdissertation 1annals-of-hematology50datedesc 8685https://geo.uni-halle.de/wp-content/plugins/zotpress/

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Tetteh G (2022) Optimal delineation of agricultural parcels from satellite imagery using the multiresolution segmentation algorithm. Martin Luther University Halle-Wittenberg. https://doi.org/10.25673/81989

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

Kumar-Babu D (2021) Efficient Data Fusion Approaches for Remote Sensing Time Series Generation. Julius-Maximilians-Universität Würzburg. https://doi.org/10.25972/OPUS-25180

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 University Halle-Wittenberg. https://doi.org/10.25673/83052

Dahms T (2020) Ableitung von biophysikalischen Parametern aus fusionierten hochfrequenten fernerkundlichen Zeitserien. Julius-Maximilians-Universität Würzburg

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. https://doi.org/10.14279/depositonce-11174

Nisra G (2019) Remote Sensing of Vegetation Phenology by MODIS – challenges in data processing and validation by multispecies ground observations and LiDAR. Technische Universität

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

Knauer K (2018) Vegetation Dynamics in West Africa: Spatio-temporal Data Fusion for the Monitoring of Agricultural Expansion. Julius-Maximilians-Universität Würzburg

Lewinska KE (2017) Multi-scale detection of drought impact on the mountain forest of South Tyrol. Universität Graz

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

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

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

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

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

Forkour G (2015) Mapping Landuse and Landuse Change Pathways in the Sudanian Savanna of West Africa. Julius-Maximilians-Universität Würzburg

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

Thiel M (2013) Nutzung von Texturinformationen hochaufgelöster SAR-Daten zur Beschreibung von Siedlungsﬂächen. Friedrich-Schiller-Universität Jena

Schuster C (2013) Change Detection Analysis for the Monitoring of NATURA 2000 habitats using Rapid Eye and TerraSAR-X satellite data. Technische Universität Berlin

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

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

Dubovyk O (2013) Multi-scale targeting of land degradation in northern Uzbekistan using satellite remote sensing. Universität Bonn

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