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Prof. Dr. Christopher Conrad
Schwerpunkte
  • Agrarlandschaftsforschung
  • Landnutzungssysteme
  • Fernerkundung & Informationssysteme
  • Zentralasien
Aufgaben in der akademischen Selbstverwaltung
  • geschäftsführender Direktor
Wissenschaftlicher Werdegang
  • seit 05/2019
    Professur für Geoökologie, Martin-Luther-Universität Halle-Wittenberg
  • 10/2017 – 04/2019
    Vertretungsprofessur Geoökologie, Martin-Luther-Universität Halle-Wittenberg
  • 08/2017 – 09/2017
    Akademischer Oberrat auf Zeit, Julius-Maximilians-Universität Würzburg
  • 07/2017
    Habiliatation zum Thema „Remote sensing and geoanalysis to Support sustainable land and water use in the Aral Sea Basin“
  • 08/2011 – 08/2017
    Juniorprofessur für Geographische Fernerkundung, Julius-Maximilians-Universität Würzburg
  • 01/2007 – 07/2011
    Akademischer Oberrat auf Zeit im Elitenetzwerk Bayern, Masterstudiengang „Global Change Ecology“, Universität Bayreuth, angestellt am Lehrstuhl für Fernerkundung des Geographischen Instituts der Universität Würzburg
  • 06 / 2002-12 / 2006
    Wissenschaftlicher Mitarbeiter des Deutschen Fernerkundungsdatenzentrum (DFD) des DLR in Oberpfaffenhofen, Arbeitsgruppe Fernerkundung am Geographischen Institut der Universität Würzburg
  • 12/2006
    Promotion (Dr. rer. nat) im Rahmen des Projektes „Economic and Ecological Restructuring of Land and Water Use in the Khorezm Region (Uzbekistan): A Pilot Project in Development Research“
  • 04/1995 – 02/2002
    Studiengang Geographie an der Universität Mainz, Ausrichtung: Geoökologie
  • 04/1995 – 06/1997
    Studiengang Mathematik, nach Abschluss des Vordiploms beendet
Aktuelle Projekte

Publikationen

2355391 MDLREVTX PeerReview Christopher Conrad 1 american-journal-of-plant-sciences 50 date desc 1 Conrad, C. 2250 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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Ziegler, K., Abel, D., König, L., Weber, T., Otte, I., Teucher, M., Conrad, C., Thiel, M., Gbode, I.E., Ajayi, V.O., Coulibaly, A., Traoré, S.B., Zoungrana, B.J.-B. and Paeth, H. (2025) A Spatial Decision Support System for Climate-Adapted Agriculture Designed with and for Stakeholders in West Africa. Climate Services, 39, 100585. https://doi.org/10.1016/j.cliser.2025.100585.
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Tetteh, G.O., Schwieder, M., Erasmi, S., Conrad, C. and Gocht, A. (2023) Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-023-00247-x.
1
El-Hokayem, L., De Vita, P. and Conrad, C. (2023) Local Identification of Groundwater Dependent Vegetation Using High-Resolution Sentinel-2 Data – A Mediterranean Case Study. Ecological Indicators, 146, 109784. https://doi.org/10.1016/j.ecolind.2022.109784.
1
Conrad, C., Schmidt, G. and Kussainova, M. (2023) Current and Potential Conflicts for Ecosystem Services Caused by Agricultural Land Use in Central Asia, and Essential Implications for Research on Sustainable Land Management in the Region. CAJSCR, 2. https://doi.org/https://doi.org/10.29258/CAJSCR/2023-R1.v2-1/1-21.eng.
1
Wenzel, J.L., Conrad, C., Piernicke, T., Spengler, D. and Pöhlitz, J. (2022) Assessing the Impact of Different Irrigation Levels on Starch Potato Production. Agronomy, 12, 2685. https://doi.org/10.3390/agronomy12112685.
1
Koza, M., Pöhlitz, J., Prays, A., Kaiser, K., Mikutta, R., Conrad, C., Vogel, C., Meinel, T., Akshalov, K. and Schmidt, G. (2022) Potential Erodibility of Semi‐arid Steppe Soils Derived from Aggregate Stability Tests. European Journal of Soil Science. https://doi.org/10.1111/ejss.13304.
1
Schuermann, A., Kleemann, J., Teucher, M., Fürst, C. and Conrad, C. (2022) Migration in West Africa: A Visual Analysis of Motivation, Causes, and Routes. Ecology and Society, 27, art16. https://doi.org/10.5751/ES-13489-270316.
1
Orynbaikyzy, A., Gessner, U. and Conrad, C. (2022) Spatial Transferability of Random Forest Models for Crop Type Classification Using Sentinel-1 and Sentinel-2. Remote Sensing, 14, 1493. https://doi.org/10.3390/rs14061493.
1
Teucher, M., Thürkow, D., Alb, P. and Conrad, C. (2022) Digital In Situ Data Collection in Earth Observation, Monitoring and Agriculture—Progress towards Digital Agriculture. Remote Sensing, 14, 393. https://doi.org/10.3390/rs14020393.
1
Wenzel, J.L., Schmidt, G., Usman, M., Conrad, C. and Volk, M. (2021) Long-Term Baseflow Estimation and Environmental Flow assessment in a Mining-Impacted Catchment in Central Germany. Hercynia N.F., 54, 103–143.
1
Löw, J., Ullmann, T. and Conrad, C. (2021) The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany). Remote Sensing, 13, 2951. https://doi.org/10.3390/rs13152951.
1
Vallentin, C., Harfenmeister, K., Itzerott, S., Kleinschmit, B., Conrad, C. and Spengler, D. (2021) Suitability of Satellite Remote Sensing Data for Yield Estimation in Northeast Germany. Precision Agriculture. https://doi.org/10.1007/s11119-021-09827-6.
1
Koza, M., Schmidt, G., Bondarovich, A., Akshalov, K., Conrad, C. and Pöhlitz, J. (2021) Consequences of Chemical Pretreatments in Particle Size Analysis for Modelling Wind Erosion. Geoderma, 396, 115073. https://doi.org/10.1016/j.geoderma.2021.115073.
1
Tetteh, G.O., Gocht, A., Erasmi, S., Schwieder, M. and Conrad, C. (2021) Evaluation of Sentinel-1 and Sentinel-2 Feature Sets for Delineating Agricultural Fields in Heterogeneous Landscapes. IEEE Access, 9, 116702–116719. https://doi.org/10.1109/ACCESS.2021.3105903.
1
Schönbrodt-Stitt, S., Ahmadian, N., Kurtenbach, M., Conrad, C., Romano, N., Bogena, H.R., Vereecken, H. and Nasta, P. (2021) Statistical Exploration of SENTINEL-1 Data, Terrain Parameters, and in-Situ Data for Estimating the Near-Surface Soil Moisture in a Mediterranean Agroecosystem. Frontiers in Water, 3, 75. https://doi.org/10.3389/frwa.2021.655837.
1
Hosseini, M., McNairn, H., Mitchell, S., Robertson, L.D., Davidson, A., Ahmadian, N., Bhattacharya, A., Borg, E., Conrad, C., Dabrowska-Zielinska, K., de Abelleyra, D., Gurdak, R., Kumar, V., Kussul, N., Mandal, D., Rao, Y.S., Saliendra, N., Shelestov, A., Spengler, D., Verón, S.R., Homayouni, S. and Becker-Reshef, I. (2021) A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index. Remote Sensing, 13, 1348. https://doi.org/10.3390/rs13071348.
1
Conrad, C., Usman, M., Morper-Busch, L. and Schönbrodt-Stitt, S. (2020) Remote Sensing-Based Assessments of Land Use, Soil and Vegetation Status, Crop Production and Water Use in Irrigation Systems of the Aral Sea Basin. A Review. Water Security, 11, 100078. https://doi.org/10.1016/j.wasec.2020.100078.
1
Tetteh, G.O., Gocht, A. and Conrad, C. (2020) Optimal Parameters for Delineating Agricultural Parcels from Satellite Images Based on Supervised Bayesian Optimization. Computers and Electronics in Agriculture, 178. https://doi.org/https://doi.org/10.1016/j.compag.2020.105696.
1
Ibrakhimov, M., Awan, U.K., Sultanov, M., Akramkhanov, A., Djumaboev, K., Conrad, C. and Lamers, J. (2020) Combining Remote Sensing and Modeling Approaches to Assess Soil Salinity in Irrigated Areas of the Aral Sea Basin. Central Asian Journal of Water Research, 5, 64–81. https://doi.org/10.29258/CAJWR/2019-R1.v5-2/64-81eng.
1
Remelgado, R., Zaitov, S., Kenjabaev, S., Stulina, G., Sultanov, M., Ibrakhimov, M., Akhmedov, M., Dukhovny, V. and Conrad, C. (2020) A Crop Type Dataset for Consistent Land Cover Classification in Central Asia. https://doi.org/10.1038/s41597-020-00591-2.
1
Usman, M., Qamar, M.U., Becker, R., Zaman, M., Conrad, C. and Salim, S. (2020) Numerical Modelling and Remote Sensing Based Approaches for Investigating Groundwater Dynamics under Changing Land-Use and Climate in the Agricultural Region of Pakistan. Journal of Hydrology, 581, 124408. https://doi.org/10.1016/j.jhydrol.2019.124408.
1
Tetteh, G.O., Gocht, A., Schwieder, M., Erasmi, S. and Conrad, C. (2020) Unsupervised Parameterization for Optimal Segmentation of Agricultural Parcels from Satellite Images in Different Agricultural Landscapes. Remote Sensing, 12, 3096. https://doi.org/10.3390/rs12183096.
1
Orynbaikyzy, A., Gessner, U., Mack, B. and Conrad, C. (2020) Crop Type Classification Using Fusion of Sentinel-1 and Sentinel-2 Data: Assessing the Impact of Feature Selection, Optical Data Availability, and Parcel Sizes on the Accuracies. Remote Sensing, 12, 2779. https://doi.org/10.3390/rs12172779.
1
Usman, M., Mahmood, T., Conrad, C. and Bodla, H.U. (2020) Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region. Sustainability, 12, 9535. https://doi.org/10.3390/su12229535.
1
Kenjabaev, S., Conrad, C., Eshchanov, O., Arifjanov, A., Abduraimova, D. and Voxidova, U. (2020) Comparison of Spectro-Biophysical and Yield Parameters of Cotton in Irrigated Lowlands of Amudaria River. InterCarto. InterGIS, 26, 294–308. https://doi.org/10.35595/2414-9179-2020-3-26-294-308.
1
Dhillon, M.S., Dahms, T., Kuebert-Flock, C., Borg, E., Conrad, C. and Ullmann, T. (2020) Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany. Remote Sensing, 12, 1819. https://doi.org/10.3390/rs12111819.
1
Ahmadian, N., Ullmann, T., Verrelst, J., Borg, E., Zölitz, R. and Conrad, C. (2019) Biomass Assessment of Agricultural Crops Using Multi-Temporal Dual-Polarimetric TerraSAR-X Data: A Case Study on Northeast Germany. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 87, 159–175. https://doi.org/10.1007/s41064-019-00076-x.
1
Kumar, N., Khamzina, A., Tischbein, B., Knöfel, P., Conrad, C. and Lamers, J.P.A. (2019) Spatio-Temporal Supply–Demand of Surface Water for Agroforestry Planning in Saline Landscape of the Lower Amudarya Basin. Journal of Arid Environments, 162, 53–61. https://doi.org/10.1016/j.jaridenv.2018.11.007.
1
Orynbaikyzy, A., Gessner, U. and Conrad, C. (2019) Crop Type Classification Using a Combination of Optical and Radar Remote Sensing Data: A Review. International Journal of Remote Sensing, 40, 6553–6595. https://doi.org/10.1080/01431161.2019.1569791.
1
Ludwig, M., Ludwig, H., Conrad, C., Dahms, T. and Meyhöfer, R. (2019) Cabbage Whiteflies Colonise Brassica Vegetables Primarily from Distant, Upwind Source Habitats. Entomologia Experimentalis et Applicata, 34, 29. https://doi.org/10.1111/eea.12827.
1
Zoungrana, B.J.-B., Conrad, C., Thiel, M., Amekudzi, L.K. and Da, E.D. (2018) MODIS NDVI Trends and Fractional Land Cover Change for Improved Assessments of Vegetation Degradation in Burkina Faso, West Africa. Journal of Arid Environments, 153, 66–75. https://doi.org/10.1016/j.jaridenv.2018.01.005.
2355391 MDLREVTX BookContributions Christopher Conrad 1 american-journal-of-plant-sciences 50 date desc 1 Conrad, C. 2250 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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Conrad, C., Schorcht, G., Fritsch, S. and Zeidler, J. (2010) How Satellite Images Can Improve Agricultural Land and Water Management. https://www.zef.de/fileadmin/webfiles/downloads/projects/khorezm/downloads/Publications/ZUR/ZUR-No11.pdf.
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Conrad, C., Rücker, G.R., Mund, J.-P., Schmidt, M. and Mehl, H. (2010) Beiträge Der Satellitenfernerkundung Für Ein Nachhaltiges Und Grenzüberschreitendes Wassermanagement in Zentralasien. In: Kramer, M., Ed., Studien Zum Internationalen Umweltmanagement.: Kooperationspotenziale Zwischen Deutschland Und Zentralasien, Gabler Verlag / Springer Fachmedien Wiesbaden GmbH Wiesbaden, Wiesbaden, 254–266.
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Giriraj, A., Joshi, P.K., Barbar, Shilpa., Wegmann, M., Conrad, C., Sudhakar, S. and Beierkuhnlein, C. (2009) Systematic Assessment of Forest Cover Change and Forest Fragmentation in Indian Sub-Continent Using Multi-Scale Satellite Remote Sensing Inputs. In: Joshi, P.K., Ed., Geoinformatics for Natural Resource Management, Nova Science Publishers, New York, 185–213.
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Colditz, R.R., Conrad, C., Wehrmann, T., Schmidt, M. and Dech, S.W. (2009) Analysis of the Quality of Collection 4 and 5 Vegetation Index Time Series from MODIS. In: Stein, A., Shi, W. and Bijker, W., Eds., Quality Aspects in Spatial Data Mining: International Symposium on Spatial Data Quality ; 5th Symposium, ISSDQ 2007, in Enschede, The Netherlands ; Best Papers, CRC Press, Boca Raton, Fla.
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Siefker, U., Conrad, C. and Dech, S.W. (2006) Kuwait Aus Dem Weltall – Anwendungsmöglichkeiten von Fernerkundung Im Stadtstaat Am Inneren Golf. Die Beziehungen Zwischen Der Bundesrepublik Deutschland Und Dem Staat Kuwait – Historische Perspektiven Und Geographische Analysen Mit GIS Des Energiezentrums Am Oberen Golf., Würzburg, 77–100. https://www.geographie.uni-wuerzburg.de/fileadmin/09010000/WR_vortragsSchriftenreihen/wgm/WGM_SH9_Kuwait_Inhalt_Einleitung_1_.pdf.
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Rücker, G.R., Conrad, C., Colditz, R.R., Strunz, G. and Dech, S.W. (2005) Remote Sensing Based Mapping and Characterization of Soil and Vegetation Quality of Potential Plantation Areas in the Desiccated Aral Sea Area. https://www.zef.de/fileadmin/webfiles/downloads/projects/khorezm/downloads/Publications/wps/ZEF-UZ-WP07-Ruecker2.pdf.
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Rücker, G.R. and Conrad, C. (2003) Exploring Leaf Area Index Development and Land Cover Classification in the Lower Amu Darya Basin in Uzbekistan Based on Multi-Temporal and Multi-Spatial Remote Sensing Data. https://www.zef.de/fileadmin/webfiles/downloads/projects/khorezm/downloads/Publications/wps/ZEF-UZ-WP05-Ruecker.pdf.
2355391 MDLREVTX ConferencePaper Christopher Conrad 1 american-journal-of-plant-sciences 50 date desc 1 Conrad, C. 2250 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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Spengler, D., Asam, S., Boettcher, F., Borg, E., Dobers, E.S., Geßner, U., Harfenmeister, K., Hüttich, C., Klan, F., Teucher, M., Truckenbrodt, S. and Conrad, C. (2021) AgriSens – DEMMIN 4.0. Meyer-Aurich, A., Gandorfer, M., Hoffmann, C., Weltzien, C., Bellingrath-Kimura, S. & Floto, H. (Hrsg.) – Gesellschaft für Informatik e.V., Bonn, 415–420. https://dl.gi.de/handle/20.500.12116/35712.
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Bayat, A.T., Schonbrodt-Stitt, S., Nasta, P., Ahmadian, N., Conrad, C., Bogena, H.R., Vereecken, H., Jakobi, J., Baatz, R. and Romano, N. (2020) Mapping Near-Surface Soil Moisture in a Mediterranean Agroforestry Ecosystem Using Cosmic-Ray Neutron Probe and Sentinel-1 Data. 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), IEEE, Trento, Italy, 201–206. https://doi.org/10.1109/MetroAgriFor50201.2020.9277557.
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Nasta, P., Schonbrodt-Stitt, S., Bogena, H., Kurtenbach, M., Ahmadian, N., Vereecken, H., Conrad, C. and Romano, N. (2019) Integrating Ground-Based and Remote Sensing-Based Monitoring of near-Surface Soil Moisture in a Mediterranean Environment. 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), IEEE, Portici, Italy, 274–279. https://doi.org/10.1109/MetroAgriFor.2019.8909226.
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Usman, M., Mahmood, T. and Conrad, C. (2019) Performance Assessment of Human Controlled Irrigation System in the Semi-Arid Punjab of Pakistan. https://ui.adsabs.harvard.edu/abs/2019AGUFM.H31L1895U/abstract.
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Dimov, D., Low, F., Ibrakhimov, M., Sarah-Schonbrodt-Stitt and Conrad, C. (2017) Feature Extraction and Machine Learning for the Classification of Active Cropland in the Aral Sea Basin. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Fort Worth, TX, 1804–1807. https://doi.org/10.1109/IGARSS.2017.8127326.
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Dimov, D., Low, F., Ibrakhimov, M., Stulina, G. and Conrad, C. (2017) SAR and Optical Time Series for Crop Classification. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Fort Worth, TX, 811–814. https://doi.org/10.1109/IGARSS.2017.8127076.
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Dahms, T., Conrad, C., Kumar-Babu, D., Schmidt, M. and Borg, E. (2017) Derivation of Biophysical Parameters from Fused Remote Sensing Data. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Fort Worth, TX, 4374–4377. https://doi.org/10.1109/IGARSS.2017.8127970.
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Gläesser, C., Gerstmann, H., Conrad, C. and Knoefel, P. (2017) Optimization of Multi-Temporal Land Use Classification by Integration of Phenological Time Frames. Brugge, Belgium. https://www.researchgate.net/publication/324170273_Optimization_of_multi-temporal_Land_Use_Classification_by_Integration_of_Phenological_time_frames.
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Batsaikhan, A., Conrad, C., Asam, S. and Klein, D. (2017) Analyzing the Impact of Snowmelt Timing on Grassland Green-up Dates in the European Alps Using Webcams. Yamaguchi, Japan, 45–46. https://doi.org/NCID:AN00351250.
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Kaufmann, C., Schmidt, M., Dhams, T., Conrad, C. and Kumar-Babu, D. (2017) Semi-Autonomous Remote Sensing Time Series Generation Tool. In: Bruzzone, L., Bovolo, F. and Benediktsson, J.A., Eds., Image and Signal Processing for Remote Sensing XXIII, SPIE, Warsaw, Poland, 12. https://doi.org/10.1117/12.2278213.
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Kumar-Babu, D., Kaufmann, C., Schmidt, M., Dahms, T. and Conrad, C. (2017) Autonomous Time Series Generation of High Spatial Resolution Images – A Feasibility Study. Adelaide, Australien, 1–7. https://elib.dlr.de/115667/.
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Conrad, C., Schönbrodt-Stitt, S., Abdullaev, I., Dimov, D., Ibrakhimov, M., Knoefel, P., Leinich, M., Morper-Busch, L., Schorcht, G., Solodky, G., Sorokin, A., Sorokin, D., Stulina, G., Toshpulatov, R., Unger-Shayesteh, K., Zaitov, S. and Dukhovny, V. (2016) Remote Sensing and GIS for Supporting the Agricultural Use of Land and Water Resources in the Aral Sea Basin. Almaty, Kazakhstan, 111–121. https://www.researchgate.net/publication/308746962_Remote_Sensing_and_GIS_for_Supporting_the_Agricultural_Use_of_Land_and_Water_Resources_in_the_Aral_Sea_Basin.
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Dimov, D., Kuhn, J. and Conrad, C. (2016) Assessment of Cropping System Diversity in the Fergana Valley through Image Fusion of LANDSAT 8 and SENTINEL-1. Prague, Czech Republic. https://www.researchgate.net/publication/299845462_Assessment_of_cropping_system_diversity_in_the_Fergana_Valley_through_image_fusion_of_LANDSAT_8_and_SENTINEL-1.
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Lex, S., Dahms, T., Zellner, P., Fritsch, S., Conrad, C. and Schmidt, M. (2015) Generation and Evaluation of Time Series for the Derivation of Biophysical Parameters as an Input for a Crop Model. Bonn. https://elib.dlr.de/96826/.
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Kübert, C., Conrad, C., Klein, D. and Dech, S. (2013) Land Surface Phenology from MODIS Data in Germany. MultiTemp 2013: 7th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, IEEE, Banff, AB, 1–4. https://doi.org/10.1109/Multi-Temp.2013.6866015.
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Forkour, G., Conrad, C., Thiel, M. and Zeidler, J. (2013) Improving Crop Area Estimation in West Africa Using Multiresolution Satellite Data.
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Dietz, A.J., Künzer, C. and Conrad, C. (2013) Snow Cover Development in Central Asia Derived from Daily, Medium Resolution Remote Sensing Data between 1986 and 2012. Huntsville, Ontario, Canada. https://elib.dlr.de/82818/.
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Shahabfar, A., Reinwand, M., Conrad, C. and Schorcht, G. (2012) A Re-Examination of Perpendicular Drought Indices over Central and Southwest Asia. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, SPIE, 406–415. https://doi.org/10.1117/12.974561.
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Löw, F., Schorcht, G., Michel, U., Dech, S. and Conrad, C. (2012) Per-Field Crop Classification in Irrigated Agricultural Regions in Middle Asia Using Random Forest and Support Vector Machine Ensemble. In: Michel, U., Civco, D.L., Ehlers, M., Schulz, K., Nikolakopoulos, K.G., Habib, S., Messinger, D. and Maltese, A., Eds., Edinburgh, United Kingdom, 85380R. https://doi.org/10.1117/12.974588.
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Forkour, G., Landmann, T., Conrad, C. and Dech, S. (2012) Agricultural Land Use Mapping in the Sudanian Savanna of West Africa: Current Status and Future Possibilities. Munich, Germany, 6293–6296. https://doi.org/10.1109/IGARSS.2012.6352698.
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Dubovyk, O., Menz, G., Conrad, C., Khamzina, A. and Dech, S. (2012) Object-Based Cropland Degradation Identification: A Case in Uzbekistan. Proceedings of SPIE, Edinburgh. https://elib.dlr.de/79205/.
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Conrad, C., Löw, F., Rudloff, M. and Schorcht, G. (2012) Assessing Irrigated Cropland Dynamics in Central Asia between 2001 and 2010 Based on MODIS Time Series. https://www.researchgate.net/publication/259896412_Assessing_irrigated_cropland_dynamics_in_central_Asia_between_2001_and_2010_based_on_MODIS_time_series.
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Schorcht, G., Löw, F., Fritsch, S. and Conrad, C. (2012) Crop Classification at Subfield Level Using RapidEye Time Series and Graph Theory Algorithms. In: Neale, C.M.U. and Maltese, A., Eds., Edinburgh, United Kingdom, 85311G. https://doi.org/10.1117/12.974670.
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Dietz, A., Conrad, C. and Kuenzer, C. (2012) Snow Cover Variability in Central Asia during the Last Decade Derived from MODIS. Cologne, Germany. https://www.researchgate.net/publication/240902630_Snow_cover_variability_in_Central_Asia_during_the_last_decade_derived_from_MODIS.
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Löw, F., Michel, U., Dech, S. and Conrad, C. (2011) Development of a Satellite-Based Multi-Scale Land Use Classification System for Land and Water Management in Uzbekistan and Kazakhstan. In: Michel, U. and Civco, D.L., Eds., Prague, Czech Republic, 81811K. https://doi.org/10.1117/12.898038.
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Fritsch, S., Machwitz, M., Conrad, C. and Dech, S. (2011) Relationships between High Resolution RapidEye Based FPAR and MODIS Vegetation Indices in a Heterogeneous Agricultural Region. In: Neale, C.M.U. and Maltese, A., Eds., Prague, Czech Republic, 81740N. https://doi.org/10.1117/12.898333.
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Conrad, C., Machwitz, M., Schorcht, G., Löw, F., Fritsch, S. and Dech, S. (2011) Potentials of RapidEye Time Series for Improved Classification of Crop Rotations in Heterogeneous Agricultural Landscapes: Experiences from Irrigation Systems in Central Asia. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, SPIE, 340–348. https://doi.org/10.1117/12.898345.
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Machwitz, M., Wegmann, M., Conrad, C. and Dech, S. (2011) Remote Sensing Based Estimation of Potential Terrestrial Carbon Stocks in West Africa. Sydney, Australia.
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Dubovyk, O., Khamzina, A., Conrad, C. and Menz, G. (2011) Mapping Cropland Marginalisation in the Downstream of the Amu Darya River, Uzbekistan. Bonn. https://www.tropentag.de/2011/abstract.php?code=sTbEMfjQ.
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Bohovic, R., Klein, D. and Conrad, C. (2011) Phenological Patterns in Central Asia : Monitoring Vegetation Dynamics Using Remote Sensing at Different Scales. Prague, Czech Republic. https://www.researchgate.net/publication/235435834_Phenological_Patterns_in_Central_Asia_Monitoring_Vegetation_Dynamics_Using_Remote_Sensing_at_Different_Scales.
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Fritsch, S., Conrad, C. and Dech, S. (2010) A MODIS- Based Approach for Crop Yield Prediction in Irrigation Regions of Central Asia Using Light Use Efficiency Modeling. Bergen, Norway.
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Ehammer, A., Fritsch, S., Conrad, C., Lamers, J. and Dech, S. (2010) Statistical Derivation of FPAR and LAI for Irrigated Cotton and Rice in Arid Uzbekistan by Combining Multi-Temporal RapidEye Data and Ground Measurements. In: Neale, C.M.U. and Maltese, A., Eds., Toulouse, France, 782409. https://doi.org/10.1117/12.864796.
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Conrad, C., Goessl, A., Lex, S., Metz, A., Esch, T., Konrad, C., Goettlicher, G. and Dech, S. (2010) Mapping Crop Distribution in Administrative Districts of Southwest Germany Using Multi-Sensor Remote Sensing Data. In: Neale, C.M.U. and Maltese, A., Eds., Toulouse, France, 78240C. https://doi.org/10.1117/12.865113.
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Asam, S., Klein, D., Gessner, U., Conrad, C., Beierkuhnlein, C. and Dech, S. (2010) Ableitung Des Vegetationsbedeckungsgrades Aus Multiskaligen Fernerkundungsdaten Für Hydrologische Modellierung in Zentralasien. Angewandte Geoinformatik 2010. Beiträge Zum 22. AGIT-Symposium Salzburg, Salzburg, Austria, 284–289. https://elib.dlr.de/67181/.
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Ruecker, G., Wehrmann, T., Schettler, I., Conrad, C., Landmann, T., Klein, D., Fritsch, S., Schorcht, G., Mund, J.P., Kuenzer, C., Keil, M., Mehl, H. and Dech, S. (2009) Integration of Remote Sensing Products in Regional Information Systems to Support Decision Making in Land and Water Management in Central Asia. Proceedings of the 3rd GISCA 2009, Bishkek, Kyrgyzstan. https://elib.dlr.de/72574/.
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Schorcht, G., Conrad, C., Dech, S., Lamers, J., Rücker, G. and Fritsch, S. (2009) Field Based FAO-56 Dual Crop Coefficient Method for Water Demand Estimations Using Remote Sensing and Geodata Management Approaches. Proceedings of the 3rd GISCA 2009, Bishkek, Kyrgyzstan.
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Gessner, U., Klein, D., Conrad, C., Schmidt, M. and Dech, S. (2009) Towards an Automated Estimation of Vegetation Cover Fractions on Multiple Scales: Examples of Eastern and Southern Africa. Stresa, Italy.
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Conrad, C., Falk, U., Hendricks, J. and Stefan, D. (2009) Modelling Surface Energy Fluxes Based on Multitemporal Remote Sensing Data at Different Scales. Stresa, Italy. https://www.researchgate.net/publication/225023288_Modelling_surface_energy_fluxes_based_on_multitemporal_remote_sensing_data_at_different_scales/citations.
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Colditz, R., Cord, A., Conrad, C., Franz, M., Pedro, M. and Ressl, R. (2009) Analyzing Phenological Characteristics of Mexico with MODIS Time Series Products. Mystic, Connecticut, USA, 1–7. https://elib.dlr.de/60624/.
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Machwitz, M., Landmann, T., Conrad, C., Cord, A. and Dech, S. (2008) Land Cover Analysis on Sub-Continental Scale: FAO LCCS Standard with 250 Meter MODIS Satellite Observations in West Africa. Boston, Massachusetts, USA, 49–52. https://doi.org/10.1109/IGARSS.2008.4780024.
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Geßner, U., Conrad, C., Hüttich, C., Keil, M., Schmidt, M., Schramm, M. and Dech, S. (2008) A Multi-Scale Approach for Retrieving Proportional Cover of Life Forms. Boston, Massachusetts, USA.
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Fritsch, S., Conrad, C., Rücker, G. and Dech, S. (2008) Objektbasierte Klassifikation Der Agrarischen Landnutzung Im Gebiet Khorezm (Usbekistan). Salzburg, Austria, 550–555. https://www.researchgate.net/publication/225000597_Objektbasierte_Klassifikation_der_agrarischen_Landnutzung_im_Gebiet_Khorezm_Usbekistan.
2355391 MDLREVTX Presentation Christopher Conrad 1 american-journal-of-plant-sciences 50 date desc 1 Conrad, C. 2250 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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1
Löw, J., Hill, S., Thiel, M., Ullmann, T. and Conrad, C. (2024, June 20) How Does Phenology Shape Crop- And Orbit-Specific InSAR Coherence And PolSAR-Signatures Of Sentinel-1. Manchester, UK.
1
Friedrich, C., Löw, J., Otte, I., Hill, S., Schierghofer, C., Gessner, U., Truckenbrodt, S., Schonert, E., Piernecke, T., Conrad, C. and Thiel, M. (2024, March 21) DataCube Architecture for Integrating, Processing and Presenting Big Geodata to End Users. Berlin.
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Löw, J., Hill, S., Thiel, M., Ullmann, T. and Conrad, C. (2024, March 15) Tracking Crop Phenology across Different Sentinel-1 Orbits by Combining PolSAR Features with Growing Degree Data. Remagen.
1
Friedrich, C., Löw, J., Otte, I., Hill, S., Förtsch, S., Schwalb-Willmann, J., Gessner, U., Schierghofer, C., Piernecke, T., Truckenbrodt, S., Schonert, E., Assmann, D., Böttcher, F., Conrad, C. and Thiel, M. (2024, February 28) A Multi-Talented Datacube: Integrating, Processing and Presenting Big Geodata for the agricultural End User. Stuttgart-Hohenheim.
1
Wenzel, J.L., Conrad, C. and Pöhlitz, J. (2024, February 27) Soil Moisture Simulations for a Sustainable Irrigation Management. Poster, Stuttgart-Hohenheim.
1
Pöhlitz, J., Wenzel, J.L., Piernicke, T., Teucher, M., Gerighausen, H., Gessner, U., Thiel, M., Kunz, M. and Conrad, C. (2024, February 27) AgriSens – Demmin 4.0: Digital Solutions for Sustainable Agriculture through Remote Technologies (Phase II). Poster, Stuttgart-Hohenheim.
1
Koza, M. (2024, February 2) Quantifying Wind Erosion in the Cultivated Steppe of Kazakhstan. Jahrestagung des AK Wüstenrandforschung, Kloster Schöntal, Germany.
1
Schuermann, A., Kleemann, J., Teucher, M. and Conrad, C. (2023) Finding the Hotspots: A Novel Geo-Spatial Approach to Identify Areas in Ghana That Are Prone to Internal Migration. Deutscher Kongress für Geographie 2023, Frankfurt (Main).
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Schuermann, A., Conrad, C. and Kleemann, J. (2023) Assessing Different Climate Migration Frameworks and Its Applicability to Rural Migration in Ghana. Deutscher Kongress für Geographie 2023, Frankfurt (Main).
1
Lepore, D., Conrad, C., Allocca, V., Cusano, D., Löw, J., El-Hokayem, L. and De Vita, P. (2023) Integration of Remotely Sensed and Field Monitoring Data for Characterizing the Hydrological Regime of Soils Covering Karst Aquifers and Assessing Groundwater Recharge. EGU, Naples. https://doi.org/https://doi.org/10.5194/egusphere-gc8-hydro-65, 2023.
1
Wenzel, J.L., Conrad, C., Piernicke, T., Haßelbusch, K., Boettcher, F. and Pöhlitz, J. (2023, June 14) Observing Soil Moisture Dynamics on Starch Potato Fields for Improving Irrigation Management Based on Hydrological Simulations. Poster, Naples, Italy.
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Conrad, C., Schlaak, J., Schmelzer, J. and Löw, J. (2023) Downscaling and Validation of 1km ESA Soil Water Index for Soil Moisture Monitoring on Agricultural Land in Temperate Climate Conditions. EGU, Naples. https://doi.org/https://doi.org/10.5194/egusphere-gc8-hydro-97, 2023.
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Schuermann, A., Kleemann, J., Teucher, M. and Conrad, C. (2023) Using a Multifactorial Overlay Approach to Identify Hotspots of Environment-Induced Migration  in Three West African Countries. Cologne.
1
Wenzel, J.L., Conrad, C., Piernicke, T. and Pöhlitz, J. (2023, May 15) Modeling Soil Moisture dynamics on Variably Irrigated Starch Fields. Oral Presentation, Berlin, Germany.
1
El-Hokayem, L., De Vita, P. and Conrad, C. (2023) Mapping of Potential Groundwater Dependent Vegetation Zones in the Mediterranean Using a Simple Index Based on Global-Available Geodata and High-Resolution Remote Sensing. EGU, Naples. https://doi.org/10.5194/egusphere-gc8-hydro-61.
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Koenig, L., Teucher, M., Ziegler, K., Abel, D., Weber, T., Paeth, H. and Conrad, C. (2023) Development of a Web Based Decision Support System to Provide Relevant Climate Indicators for Climate Change Adaption. other, oral. https://doi.org/10.5194/egusphere-egu23-12019.
1
Schuermann, A., Conrad, C. and Kleemann, J. (2022) Exploring the Food-Climate-Migration Nexus in West Africa by Analyzing Land Surface Dynamics and Weather Extremes in Combination with Expert Interviews. 2nd International Conference on Geographical Science for Resilient Communities, Ecosystems and Livelihoods under Global Environmental Change. Kampala, Uganda ​​​.
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Wenzel, J.L., Piernicke, T., Pöhlitz, J., Haßelbusch, K., Böttcher, F., Spengler, D. and Conrad, C. (2022, October 12) Using Soil Hydraulic Properties for an Efficient Starch Potato Irrigation Management. Oral Presentation, Nanjing, China.
1
Löw, J., Hill, S., Ullmann, T. and Conrad, C. (2022) Assessing the Applicability of Interferometric and Polarimetric Time Series Derived from Sentinel-1 for Tracking Phenological Developments of Crops at the JECAM Site DEMMIN (Germany). Arbeitskreis Fernerkundung, Halle (Saale).
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Wenzel, J.L., Piernicke, T., Böttcher, F., Spengler, D., Conrad, C. and Pöhlitz, J. (2022, September 1) Economic Effects of Variable Irrigation on Yield and Quality Parameters of High-Amylopectin Potatoes. Poster, Potsdam, Germany.
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Thürkow, F., Conrad, C., Thürkow, D. and Teucher, M. (2022, May 26) Suitability of Thermal UAV Data to Detect Stones and Artificial Objects in Agriculture. Bonn.
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Teucher, M., Conrad, C., Alb, P. and Thürkow, D. (2022, May 25) Provision of FAIR In-Situ Data for Calibration and Validation in RS Precision Agriculture. Bonn.
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Löw, J., Hill, S., Ullmann, T. and Conrad, C. (2022) Tracking the Phenological Developments of Crops by a Complementary Set of Interferometric and Polarimetric Time Series Derived from Sentinel-1 at the JECAM Site DEMMIN (Germany). ESA Living Planet Symposium, Bonn.
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Schuermann, A. and Conrad, C. (2022) Analyzing Land Surface Dynamics and Weather Extremes Combined with Qualitative Field Research to Disentangle the Food-Climate-Migration Nexus in West Africa. ESA Living Planet Symposium. Bonn.
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Spengler, D., Böttcher, F., Borg, E., Dobers, E.S., Gerighausen, H., Klan, F., Otte, I., Teucher, M., Thiel, M., Truckenbrodt, S., Wenzl, M. and Conrad, C. (2022, May 23) Pathways to Using Remote Sensing in Crop Cultivation and Management – the German Digital Test Field AgriSens DEMMIN 4.0. Bonn.
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Nußbaum, P., Somogyvári, M., Bresinsky, L., Löw, J., Schönbrodt-Stitt, S., Sauter, M., Conrad, C. and Engelhardt, I. (2020) Vulnerability Assessment of Karst Aquifers under Mediterranean Climates. other, oral. https://doi.org/10.5194/egusphere-egu2020-5112.
2355391 MDLREVTX Others Christopher Conrad 1 american-journal-of-plant-sciences 50 date desc 1 Conrad, C. 2250 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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Wenzel, J.L., Conrad, C., Teucher, M. and Pöhlitz, J. (2025, January 29) Digitale Methoden in Bewässerungsversuchen Für Stärkekartoffeln. Oral Presentation, Hannover, Germany. https://www.dlg.org/events/dlg-technikertagung-2025.
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Conrad, C., Teucher, M. and König, L. (2025) LANDSURF Wrap 2.0 – Teilprojekt 3: Indikatoren Des Klimawandels, Statistische Bewertung, Kapazitätsbildung: Schlussbericht. Technische Informationsbibliothek (TIB). https://doi.org/10.34657/17996.
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Wenzel, J.L., Conrad, C. and Pöhlitz, J. (2024, November 7) Modellierung Der Bodenfeuchte in Unterschiedlichen Tiefen Für Eine Gezielte Bewässerung von Teilflächen. Poster, Bernburg. https://www.hs-anhalt.de/fachbereiche/loel/aktuelles/bernburger-bewaesserungs-workshop/programm.html.
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Conrad, C. and Wenzel, J.L. (2024, November 7) Wasserbedarfsbestimmung Mit Sensoren Und Modellen. Oral Presentation, Bernburg. https://www.hs-anhalt.de/fachbereiche/loel/aktuelles/bernburger-bewaesserungs-workshop/programm.html.
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Conrad, C., Renkel, J., Pöhlitz, J. and Pawelke, M. (2024, September 6) SMART Agroforst & FaiReSyst. Poster, Blankenburg. https://geooeko.geo.uni-halle.de/wp-content/uploads/2024/09/Future_Forest_Forum_Poster_Mona_Jonathan.pdf.
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König, L., Ziegler, K., Abel, D., Weber, T., Ajayi, V., Gbode, I.E., Zoungrana, B.J.-B., Coulibaly, A., Otte, I., Teucher, M., Schuck-Zöller, S., Máñez Costa, M., Thiel, M., Paeth, H. and Conrad, C. (2024) LANDSURF DSS. Zenodo. https://doi.org/10.5281/ZENODO.13318593.
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Wenzel, J.L., Pöhlitz, J. and Conrad, C. (2024, June 12) Wasser Sparen Im Kartoffelanbau Mit Digitalisierung Und Fernerkundung. Oral Presentation, Erwitte. https://digital.dlg-feldtage.de/newfront/sessions/480.
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Wenzel, J.L., Pöhlitz, J. and Conrad, C. (2023, December 6) Digitale Abschätzung Des Bewässerungsbedarfs Im Kartoffelanbau- Bodenfeuchtesimulationen Und Ertragsschätzung. Oral Presentation, Halle.
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Wenzel, J.L., Löw, J., Pöhlitz, J. and Conrad, C. (2023, November 17) Neues von Oben – Aktuelle Entwicklungen Satelliten- Und Drohnenbasierter Digitalisierung Im Pflanzenbau. Oral Presentation, Hannover, Germany.
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Itzerott, S., Hohmann, C., Stender, V., Maass, H., Borg, E., Renke, F., Jahncke, D., Berg, M., Conrad, C. and Spengler, D. (2018) TERENO (Northeast), Soil Moisture Stations of the GFZ German Research Centre for Geoscienes (GFZ). GFZ Data Services. https://doi.org/10.5880/TERENO.GFZ.SM.2018.ALL.
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Itzerott, S., Hohmann, C., Stender, V., Maass, H., Borg, E., Renke, F., Jahncke, D., Berg, M., Conrad, C. and Spengler, D. (2018) TERENO (Northeast), Climate Stations of the GFZ German Research Centre for Geoscienes (GFZ). GFZ Data Services. https://doi.org/10.5880/TERENO.GFZ.CL.2018.ALL.
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Borg, E., Maass, H., Renke, F., Jahncke, D., Stender, V., Hohmann, C., Berg, M., Itzerott, S., Spengler, D. and Conrad, C. (2018) TERENO (Northeast), Climate Stations of the German Aerospace Center (DLR). GFZ Data Services. https://doi.org/10.5880/TERENO.DLR.CL.2018.ALL.
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Conrad, C. (2018) DEMMIN – Nachhaltiges Multidisziplinäres Umweltüberwachungsinformationsnetzwerk. https://www.geographie.uni-wuerzburg.de/fernerkundung/forschung/laufende-projekte/demmin/.
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Ahmadian, N. and Conrad, C. (2018) GLAM.de – Global Agricultural Monitoring. – Der Deutsche Beitrag. https://www.geographie.uni-wuerzburg.de/fernerkundung/forschung/laufende-projekte/glamde/.
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Conrad, C., Engelhardt, I., Sauter, M., Koellner, T., Gebel, M., Müller, R., BGR, Vestier, A., Maréchal, J.C., De Vita, P., Bucchignani, E., Guttman, Y., Kissinger, M., Livshitz, Y., Morin, E., Anker, Y. and Samhan, S. (2017, 2020) MedWater (GROW) – Nachhaltige Bewirtschaftung Politisch Und Ökonomisch Relevanter Wasserressourcen in Hydraulisch, Klimatisch Und Ökologisch Hoch-Dynamischen Festgesteinsgrundwasserleitern Im Mitterlmeerraumes. https://www.bmbf-grow.de/de/verbundprojekte/medwater.
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Usman, M., Conrad, C., Weber, F., Berger, M., Mahltig, B., aus der Beek, T., Borgemeister, C., Schüttrumpf, H., Oelmann, M., Thies, A., Brüß, U., Genthe, W., Theuring, P., Grün, B.M., Lohrey, L., Bakhsh, A., Ibrahim, W., Nazir, A., Jamshaid, H., Jamal Khan, S., Javed, N., Ullah, S., Anjum, S., Bodla, H.U., Goheer, A., Ul Haq, A., Saeed, A., Uddin Khan, A., Ullah, S., Kochius, R., Majeed, M.A., Alam, N., Saifullah, M.K. and Hablik, A. (2017, 2020) InoCottonGrow – Innovation Zur Reduzierung Des Wasser-Fußabdrucks Der Globalen Baumwoll-Textilindustrie. https://www.inocottongrow.net/.
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Conrad, C. (2015, 2017) CAWa – Regionales Forschungsnetzwerk “Wasser in Zentralasien.” https://www.geographie.uni-wuerzburg.de/fernerkundung/forschung/laufende-projekte/cawa/.

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Dubovyk O (2013) Multi-scale targeting of land degradation in northern Uzbekistan using satellite remote sensing. Universität Bonn
2355391 2XDMJIQC master Christopher Conrad 1 annals-of-hematology 50 date desc 2250 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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2355391 2XDMJIQC bachelor Christopher Conrad 1 annals-of-hematology 50 date desc 2250 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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Griep DT (2016) Charakterisierung von Einschlägen blindgegangener Fliegerbomben aus dem Zweiten Weltkrieg auf Grundlage historischer Luftbilder und verifizierter Bombenfunde des Bay. Innenministeriums zur Anwendung in der Kampfmittelvorerkundung. Julius-Maximilians-Universität Würzburg
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Landkammer S (2013) Statistische Ableitung von fPAR für Baumwolle in Zentralasien aus RepidEye-Daten. Julius-Maximilians-Universität Würzburg
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Schäfer F (2012) Fernerkundungsbasierte Modellierung und Validierung der tatsächlichen Evapotranspiration in Khorezm, Usbekistan. Julius-Maximilians-Universität Würzburg
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Grett J-P (2010) Standortbestimmung für erneuerbare Energiegewinnungsträger im Bereich Wasserkraft anhand von ASTER-Höhendaten am Beispiel von Saint Lucia. Julius-Maximilians-Universität Würzburg
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  • christopher.conrad@geo.uni-halle.de