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Assessing irrigated cropland dynamics in central Asia between 2001 and 2010 based on MODIS time series.

, , , and . Proceedings SPIE 8531, Remote Sensing for Agriculture, Ecosystems and Hydrology XIV, (October 2012)

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Organohalogen emissions from saline environments - spatial extrapolation using remote sensing as most promising tool, , , , , and . Biogeosciences, (2012)Per-field crop classification in irrigated agricultural regions in middle Asia using random forest and support vector machine ensemble, , , , and . Proceedings of SPIE Remote Sensing 8538, 24-27 September 2012, Earth Resources and Environmental Remote Sensing/GIS Applications III, Edinburgh, UK, (2012)Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use, , , , and . Journal of Arid Environments, (2016)Analysis of the Environmental Change in the Southern Aral Sea Basin using MODIS Time-Series, , and . (2009)Potenziale des Red Edge Kanals von RapidEye zur Unterscheidung und zum Monitoring landwirtschaftlicher Anbaufrüchte am Beispiel des usbekischen Bewässerungssystems Khorezm, , , , , , , and . RapidEye Science Archive (RESA) - Vom Algorithmus zum Produkt, Edited by E. Borg, H. Daedelow, and R. Johnson, 203-217. Berlin: GITO, 2012, (2012)Rapid Change Detection and Salt Classification as a Promising Tool to Estimate Emission of Naturally Produced Organohalogens from Saline Ecosystems, and . (2010)Assessing irrigated cropland dynamics in central Asia between 2001 and 2010 based on MODIS time series., , , and . Proceedings SPIE 8531, Remote Sensing for Agriculture, Ecosystems and Hydrology XIV, (October 2012)Determining suitable image resolutions for accurate supervised crop classification using remote sensing data, and . (2013)Development of a satellite-based multi-scale land use classification system for land and water management in Uzbekistan and Kazakhstan, , , and . Proceedings of SPIE, Prague, Czech Republic, (September 2011)Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines, , , and . ISPRS Journal of Photogrammetry and Remote Sensing, (2013)