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Xizmatlar

Fabian Löw

18 ta ish

Geospatial Research (United Kingdom)

AkademScholarda batafsil koʻrsatkichlar

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

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

    MaqolaOchiq kirishRemote Sensing in AgricultureRemote Sensing201611 iqtibos
    ABI

  2. Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images

    Christopher Conrad, Stefan Dech, Olena Dubovyk +5

    Maqola20149 iqtibos
    ABI

  3. Framework for agricultural performance assessment based on MODIS multitemporal data

    Dimo Dimov, Fabian Löw, Johannes Uhl +4

    MaqolaOchiq kirishRemote Sensing in AgricultureJournal of Applied Remote Sensing20199 iqtibos
    ABI

  4. Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series

    Fabian Löw, Alexander V. Prishchepov, François Waldner +4

    MaqolaOchiq kirish20187 iqtibos
    ABI

  5. Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use

    Christopher Conrad, John P. A. Lamers, Nazar Ibragimov +2

    Maqola20157 iqtibos
    ABI

  6. Remote-sensing-based analysis of landscape change in the desiccated seabed of the Aral Sea—a potential tool for assessing the hazard degree of dust and salt storms

    Fabian Löw, Peter Navratil, Karsten Kotte +2

    Maqola20135 iqtibos
    ABI

  7. Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data

    Fabian Löw, Christopher Conrad, Ulrich Michel

    MaqolaOchiq kirish20155 iqtibos
    ABI

  8. Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing

    Fabian Löw, Grégory Duveiller

    MaqolaOchiq kirish20144 iqtibos
    ABI

  9. Assessing gaps in irrigated agricultural productivity through satellite earth observations—A case study of the Fergana Valley, Central Asia

    Fabian Löw, Çhandrashekhar Biradar, Elisabeth Fliemann +2

    Maqola20174 iqtibos
    ABI

  10. Mapping and assessing crop diversity in the irrigated Fergana Valley, Uzbekistan

    Christopher Conrad, Fabian Löw, John P. A. Lamers

    Maqola20174 iqtibos
    ABI

  11. Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

    Fabian Löw, Ulrich Michel, Stefan Dech +1

    Maqola20133 iqtibos
    ABI

  12. Regional-scale monitoring of cropland intensity and productivity with multi-source satellite image time series

    Fabian Löw, Çhandrashekhar Biradar, Olena Dubovyk +4

    MaqolaOchiq kirish20173 iqtibos
    ABI

  13. Land cover change detection in the Aralkum with multi-source satellite datasets

    Fabian Löw, Dimo Dimov, Shavkat Kenjabaev +3

    MaqolaOchiq kirishRemote Sensing in AgricultureGIScience & Remote Sensing20213 iqtibos
    ABI

  14. Organohalogen emissions from saline environments – spatial extrapolation using remote sensing as most promising tool

    Karsten Kotte, Fabian Löw, Stefan Huber +3

    MaqolaOchiq kirish20122 iqtibos
    ABI

  15. A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics

    Gohar Ghazaryan, Olena Dubovyk, Fabian Löw +4

    MaqolaOchiq kirish20182 iqtibos
    ABI

  16. Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan using time series of satellite remote sensing vegetation index

    Fabian Löw, François Waldner, Alexandre V. Latchininsky +3

    Maqola20162 iqtibos
    ABI

  17. SAR and optical time series for crop classification

    Dimo Dimov, Fabian Löw, Mirzahayot Ibrakhimov +2

    MaqolaSpectroscopy and Chemometric Analyses20170 iqtibos
    ABI

  18. Feature extraction and machine learning for the classification of active cropland in the Aral Sea Basin

    Dimo Dimov, Fabian Löw, Mirzahayot Ibrakhimov +2

    proceeding20170 iqtibos
    ABI