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7 works

Work: Temporal segmentation of MODIS time series for improving crop classification in Central Asian irrigation systems

  1. Multi-temporal monitoring of cotton growth through the vegetation profile classification for Tashkent province, Uzbekistan

    Jasmina Gerts, Mukhiddin Juliev, Alim Pulatov

    ArticleRemote Sensing in AgricultureGeoScape202030 citations
    ABI

  2. Impact of agricultural land use in Central Asia: a review

    Ahmad Hamidov, Katharina Helming, Dagmar Balla

    Review articleRangeland Management and Livestock EcologyAgronomy for Sustainable Development201627 citations
    ABI

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

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

    ArticleRemote Sensing in AgricultureRemote Sensing201211 citations
    ABI

  4. 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

    ArticleRangeland Management and Livestock EcologyEnvironmental Monitoring and Assessment201211 citations
    ABI

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

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

    ArticleRemote Sensing in AgricultureRemote Sensing20168 citations
    ABI

  6. 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

    ArticleRemote Sensing in AgricultureGlobal and Planetary Change20137 citations
    ABI

  7. Economics of Land Degradation and Improvement in Uzbekistan

    Aden Aw‐Hassan, Vitalii Korol, Nariman Nishanov +3

    ChapterTransboundary Water Resource Management20154 citations
    ABI