Dr. Fabian Löw
Employment at the department:
xx/xxxx - 10/2015
Research projects at the departement:
Assessing Land Value Changes and Developing a Discussion-Support-Tool for Improved Land Use Planning in the Irrigated Lowlands of Central Asia" (LaVaCCA and CAWa)
- Schönbrodt-Stitt, S.; Conrad, C.; Dimov, D.; Ergashev, I.; Löw, F.; Morper-Busch, L.; Muminov, S.; Ruziev, I.; Schorcht, G.; Solodky, G.; Sorokin, D.; Stulina, G.; Toshpulatov, R.; Zaitov, S.; Kitapbayev, A.; Unger-Shayesteh, K. (2018): The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin. In: Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Vol. 4 Optimising Agricultural Landscapes, 4 (72), 351 - 356.
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Löw, F.; Biradar, C.; Fliemann, E.; Lamers, J. P. A.; Conrad, C. (2017): Assessing gaps in irrigated agricultural productivity through satellite earth observations—A case study of the Fergana Valley, Central Asia. In: International Journal of Applied Earth Observation and Geoinformation, 59, 118-134.
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Waldner, F.; Fritz, S.; Di Gregorio, A.; Plotnikov, D.; Bartalev, S.; Kussul, N.; Gong, P.; Thenkabail, P.; Hazeu, G.; Klein, I.; Löw, F.; Miettinen, J.; Dadhwal, V. K.; Lamarche, C.; Bontemps, S.; Defourny, P. (2016): A Unified Cropland Layer at 250 m for Global Agriculture Monitoring. In: Data, 1 (1), 1-13.
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Conrad, C.; Schönbrodt-Stitt, S.; Löw, F.; Sorokin, D.; Paeth, H. (2016): Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012. In: Remote Sensing, 8 (8), 630.
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Löw, F.; Waldner, F.; Latchininsky, A.; Biradar, C.; Bolkart, M. (2016): Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan using time series of satellite remote sensing vegetation index. In: Journal of Environmental Management, 183 (3)
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Conrad, C.; Lamers, J. P. A.; Ibragimov, N.; Löw, F.; Martius, C. (2016): Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use. In: Journal of Arid Environments, 124, 150 - 159.
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Lex, S.; Asam, S.; Löw, F.; Conrad, C. (2015): Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton. In: Photogrammetrie, Fernerkundung und Geoinformation, 2015 (1), 55-67.
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Löw, F.; Knöfel, P.; Conrad, C. (2015): Analysis of uncertainty in multi-temporal object-based classification. In: ISPRS - Journal of Photogrammetry and Remote Sensing, 105, 91-106.
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Löw, F.; Duveiller, G.; Conrad, C.; Michel, U. (2015): Impact of Categorical and Spatial Scale on Supervised Crop Classification using Remote Sensing. In: Photogrammetrie - Fernerkundung - Geoinformation, 2015 (1), 7-20.
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Conrad, C.; Rudloff, M.; Abdullaev, I.; Thiel, M.; Löw, F.; Lamers, J. P. A. (2015): Measuring rural settlement expansion in Uzbekistan using remote sensing to support spatial planning. In: Applied Geography, 62, 29 - 43.
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Löw, F.; Fliemann, E.; Abdullaev, I.; Conrad, C.; Lamers, J. P. A. (2015): Mapping abandoned agricultural land in Kyzyl-Orda, Kazakhstan using satellite remote sensing. In: Applied Geography, 62, 377 - 390.
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Löw, F.; Conrad, C.; Michel, U. (2015): Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data. In: ISPRS - Journal of Photogrammetry and Remote Sensing, 108, 191 - 204.
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Zoungrana, B. J. -B.; Conrad, C.; Amekudzi, L. K.; Thiel, M.; Da, E. D.; Forkuor, G.; Löw, F. (2015): Multi-Temporal Landsat Images and Ancillary Data for Land Use/Cover Change (LULCC) Detection in the Southwest of Burkina Faso, West Africa. In: Remote Sensing, 7 (9), 12076.
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Löw, F.; Duveiller, G. (2014): Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing. In: Remote Sensing, (6), 9034-9063.
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Conrad, C.; Dech, S.; Dubovyk, O.; Fritsch, S.; Klein, D.; Löw, F.; Schorcht, G.; Zeidler, J. (2014): Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images. In: Computers and Electronics in Agriculture, 103, 63 - 74.
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Löw, F.; Michel, U.; Dech, S.; Conrad, C. (2013): Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines. In: ISPRS Journal of Photogrammetry and Remote Sensing, 85, 102-119.
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Löw, F.; Navratil, P.; Kotte, K.; Schöler, H. F.; Bubenzer, O. (2013): 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. In: Environmental monitoring and assessment, 8303-8319.
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Kotte, K.; Löw, F.; Huber, S. G.; Krause, T.; Mulder, I.; Schöler, H. F. (2012): Organohalogen emissions from saline environments - spatial extrapolation using remote sensing as most promising tool. In: Biogeosciences, 9, 1225-1235.
- Dimov, D.; Löw, F.; Ibrakhimov, M.; Schönbrodt-Stitt, S.; Conrad, C. (2017): Feature Extraction and Machine Learning for the Classification of Active Cropland in the Aral Sea Basin. In: IEEE International Geoscience and Remote Sensing Symposium
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Dimov, D.; Löw, F.; Ibrakhimov, M.; Stulina, G.; Conrad, C. (2017): SAR and Optical Time Series for Crop Classification. In: IEEE International Geoscience and Remote Sensing Symposium
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Bolkart, M.; Dahms, T.; Conrad, C.; Latchininsky, A. F.; Löw, F. (2016): Mapping and Monitoring Locust Habitats in the Aral Sea Region based on Satellite Earth Observation Data. In: 12th International Congress of Orthopterology
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Knöfel, P.; Löw, F.; Möller, M.; Conrad, C. (2015): Evaluation of Uncertainty and Accuracy in Multi-Temporal Object-Based Land Use Classification. In: 36th International Symposium on Remote Sensing of Environment
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Löw, F. (2015): Satellitengestütztes Monitoring der Agrarproduktion im Fergana Tal. In: 7. RESA Workshop 2015 - Nutzung von RapidEye-Daten im Kontext der Synergie mit anderen Sensoren und in Vorbereitung auf künftige Missionen
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Löw, F.; Fliemann, E.; Conrad, C.; Dukhovny, V.; Muratova, N.; Ibrakhimov, M.; Lamers, J. (2015): First results from the LaVaCCA project: Assessing land value changes and developing a discussion support tool for improved land use planning in the irrigated lowlands of Central Asia. In: The 36th International Symposium on Remote Sensing of Environment
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Knöfel, P.; Löw, F.; Conrad, C. (2015): Object-Based Land Use Classification of Agricultural Land by Coupling Multi-Temporal Spectral Characteristics and Phenological Events in Germany. In: European Geosciences Union General Assembly 2015
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Knöfel, P.; Löw, F.; Gerstmann, H.; Möller, M.; Xu, X.; Conrad, C. (2015): Introduction of a multifunctional tool for the evaluation of uncertainty and accuracy in multitemporal object-based land use classification. In: SPIE Remote Sensing Conference
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Bauer, C.; Löw, F.; Conrad, C. (2015): Explaining and assessing the spatial and temporal patterns of low productivity arable land and land abandonment - using satellite observation and socioeconomic data of the irrigated lowlands of Central Asia. In: Modern problems of hydrogeology, engineering geology, geoecology and ways of their solutions
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Bauer, C.; Löw, F.; Conrad, C. (2015): Explaining and assessing spatial and temporal patterns of low productivity arable land and land abandonment - using satellite observation and socioeconomi cdata of the irrigated lowlands of Central Asia. In: AK Fernerkundung
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Bauer, C.; Löw, F.; Conrad, C. (2015): Explaining and assessing the spatial and temporal patterns of low productivity arable land and land abandonment - using satellite observation and socioeconomic data of the irrigated lowlands of Central Asia. In: Stadt Land Schaf(f)t – Land Schaf(f)t Stadt
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Löw, F.; Bauer, C.; Conrad, C.; Lamers, J.; Dukhovny, V.; Stulina, G.; Kenjabaev, S.; Muratova, N.; Ibrakhimov, H.; Salnikov, V. (2015): The LaVaCCA Project. In: Geography, Culture and Society for Our Future Earth
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Löw, F.; Duveiller, G. (2013): Determining suitable image resolutions for accurate supervised crop classification using remote sensing data. In: Proceedings of SPIE 8893-21
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Conrad, C.; Löw, F.; Rudloff, M.; Schorcht, G. (2012): Assessing irrigated cropland dynamics in central Asia between 2001 and 2010 based on MODIS time series.. In: Proceedings SPIE 8531, Remote Sensing for Agriculture, Ecosystems and Hydrology XIV
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Schorcht, G.; Löw, F.; Fritsch, S.; Conrad, C. (2012): Crop classification at subfield level using RapidEye time series and graph theory algorithms. In: Proceedings of SPIE Remote Sensing 8538, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85311G (October 19, 2012); doi:10.1117/12.974670
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Löw, F.; Schorcht, G.; Michel, U.; Dech, S.; Conrad, C. (2012): Per-field crop classification in irrigated agricultural regions in middle Asia using random forest and support vector machine ensemble. In: Proceedings of SPIE Remote Sensing 8538, 24-27 September 2012, Earth Resources and Environmental Remote Sensing/GIS Applications III, Edinburgh, UK
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Kotte, K.; Löw, F. (2011): Rapid change detection and salt classification as a promising tool to estimate emission of naturally produced organohalogens from saline ecosystems. In: Geophysical Research Abstracts, 13, 9455.
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Conrad, C.; Machwitz, M.; Schorcht, G.; Löw, F.; Fritsch, S.; 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. In: Proceedings of SPIE Remote Sensing, 19.-22. Sep. 2011
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Löw, F.; Michel, U.; Conrad, C.; Dech, S. (2011): Development of a satellite-based multi-scale land use classification system for land and water management in Uzbekistan and Kazakhstan. In: Proceedings of SPIE