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Christopher Conrad

Работ: 12

Remote Sensing Department, Institute of Geography and Geology, University of Würzburg, Am Hubland, 97074 Würzburg, Germany

  1. Reconstructing the Spatio-Temporal Development of Irrigation Systems in Uzbekistan Using Landsat Time Series

    Jana Edlinger, Christopher Conrad, John P. A. Lamers +2

    СтатьяRemote Sensing in AgricultureRemote Sensing2012Цитирований: 11
    ABI

  2. Spatio-temporal analyses of cropland degradation in the irrigated lowlands of Uzbekistan using remote-sensing and logistic regression modeling

    Olena Dubovyk, Gunter Menz, Christopher Conrad +3

    СтатьяRangeland Management and Livestock EcologyEnvironmental Monitoring and Assessment2012Цитирований: 11
    ABI

  3. Water Management in Khorezm: Current Situation and Options for Improvement (Hydrological Perspective)

    Bernhard Tischbein, Usman Khalid Awan, Iskandar Abdullaev +6

    ГлаваIrrigation Practices and Water Management2011Цитирований: 11
    ABI

  4. Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012

    Christopher Conrad, Sarah Schönbrodt‐Stitt, Fabian Löw +2

    СтатьяRemote Sensing in AgricultureRemote Sensing2016Цитирований: 8
    ABI

  5. Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan

    Christopher Conrad, Maren Rahmann, Miriam Machwitz +3

    СтатьяRemote Sensing in AgricultureGlobal and Planetary Change2013Цитирований: 7
    ABI

  6. Agro-Meteorological Trends of Recent Climate Development in Khorezm and Implications for Crop Production

    Christopher Conrad, Gunther Schorcht, Bernhard Tischbein +3

    ГлаваClimate change impacts on agriculture2011Цитирований: 6
    ABI

  7. A crop type dataset for consistent land cover classification in Central Asia

    Ruben Remelgado, Sherzod Zaitov, Shavkat Kenjabaev +6

    СтатьяClimate change impacts on agricultureScientific Data2020Цитирований: 3
    ABI

  8. Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data

    Zhou Shi, G. Ruecker, Marc Mueller +7

    СтатьяRemote Sensing in AgricultureAgronomy Journal2007Цитирований: 2
    ABI

  9. Combining remote sensing and modeling approaches to assess soil salinity in irrigated areas of the Aral Sea Basin

    Khorezm Rural Advisory Support Service, Mirzakhayot Ibrakhimov, Usman Khalid Awanb +5

    СтатьяSoil Geostatistics and MappingCentral Asian Journal of Water Research2020Цитирований: 2
    ABI

  10. Future research directions for understanding the interconnections between climate change, water scarcity, and mobility in rural Central Asia

    Kathleen Hermans, Nodir Djanibekov, Iskandar Abdullaev +17

    СтатьяTransboundary Water Resource ManagementClimate and Development2024Цитирований: 1
    ABI

  11. SAR and optical time series for crop classification

    Dimo Dimov, Fabian Löw, Mirzahayot Ibrakhimov +2

    СтатьяSpectroscopy and Chemometric Analyses2017Цитирований: 0
    ABI

  12. Comparison of spectro-biophysical and yield parameters of cotton in irrigated lowlands of Amudaria River

    Shavkat Kenjabaev, Christopher Conrad, Odilbek Eshchanov +3

    СтатьяRemote Sensing in AgricultureInterCarto InterGIS2020Цитирований: 0
    ABI