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Ish: Towards improved land use mapping of irrigated croplands: performance assessment of different image classification algorithms and approaches
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
MaqolaOchiq kirishRangeland Management and Livestock EcologyEnvironmental Monitoring and Assessment201213 iqtibosABIPer-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data
Christopher Conrad, Sebastian Fritsch, Julian Zeidler +2
MaqolaOchiq kirish201011 iqtibosABIGood practices for estimating area and assessing accuracy of land change
Pontus Olofsson, Giles M. Foody, Martin Herold +3
MaqolaOchiq kirish20146 iqtibosABIEfficiency and accuracy of per-field classification for operational crop mapping
Allard de Wit, J.G.P.W. Clevers
MaqolaOchiq kirish20045 iqtibosABIDecision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data
Fabian Löw, Christopher Conrad, Ulrich Michel
MaqolaOchiq kirish20155 iqtibosABIIntroductory digital image processing: A remote sensing perspective
MaqolaOchiq kirish19875 iqtibosABISpatial targeting of land rehabilitation: a relational analysis of cropland productivity decline in arid Uzbekistan
Olena Dubovyk, Gunter Menz, Christopher Conrad +3
MaqolaOchiq kirish20134 iqtibosABIMulti-scale targeting of land degradation in northern Uzbekistan using satellite remote sensing
Dissertatsiya20134 iqtibosABIThe SAGE Handbook of Remote Sensing
Timothy A. Warner, Mike Nellis, Giles M. Foody
Kitob20092 iqtibosABISPOT-Based Sub-Field Level Monitoring of Vegetation Cover Dynamics: A Case of Irrigated Croplands
Olena Dubovyk, Gunter Menz, Alexander Lee +3
MaqolaOchiq kirish20152 iqtibosABI