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Einfluss stratifizierter Probennahme auf die Genauigkeit multitemporaler objektbasierter Landnutzungsklassifikation

, , and . (15. -16. mar 2016)

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Validation of an improved energy balance model to estimate actual evapotranspiration in irrigated cotton ecosystems of Central Asia, , , and . (2014)Evaluation of a Modified SEBAL Algorithm to Estimate Actual Evapotranspiration in Cotton Ecosystems of Central Asia using Microwave and Optical Remote Sensing Data, and . (12.-17. 04 2015)Classification of agricultural land use and derivation of biophysical parameter
using SAR and optical data., , , and . GIL Jahrestagung, volume P-268 of LNI, page 77-80. GI, (2017)Introduction of the German Landscape Change Detection Service., and . IGARSS, page 806-809. IEEE, (2018)Introduction of a modified soil heat flux approach and its potential for improving remote sensing based surface energy balance, and . (15.-17. 09 2015)Spatio-temporal supply–demand of surface water for agroforestry planning in saline landscape of the lower Amudarya Basin, , , , , and . Journal of Arid Environments, (2019)Influence of Different Stratified Sampling Methods on the Accuracy of Multi-Temporal Object-Based Crop Mapping, , and . (24.-25. 09 2015)Potential of Remote Sensing Derived Soil Moisture for the Estimation of Actual Evapotranspiration in Cotton Ecosytems in Middle Asia, , and . Satellite Soil Moisture Validation and Application Workshop, page 1. (2013)Estimation of actual evapotranspiration to derive irrigation efficiency indicators in the Aral Sea Basin, Central Asia, , , and . (29. - 30. 09 2016)Evaluation of Uncertainty and Accuracy in Multi-Temporal Object-Based Land Use Classification, , , and . (11,-15. 05 2015)