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Mutlu Ozdogan
Mutlu Ozdogan
Associate Professor of Environmental Science and Forest Ecology, University of Wisconsin
Verified email at wisc.edu
Title
Cited by
Cited by
Year
Patterns and drivers of post-socialist farmland abandonment in Western Ukraine
M Baumann, T Kuemmerle, M Elbakidze, M Ozdogan, VC Radeloff, ...
Land use policy 28 (3), 552-562, 2011
4232011
The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions
B Tan, CE Woodcock, J Hu, P Zhang, M Ozdogan, D Huang, W Yang, ...
Remote Sensing of Environment 105 (2), 98-114, 2006
2982006
Global land cover mapping: A review and uncertainty analysis
RG Congalton, J Gu, K Yadav, P Thenkabail, M Ozdogan
Remote Sensing 6 (12), 12070-12093, 2014
2872014
Remote sensing of irrigated agriculture: Opportunities and challenges
M Ozdogan, Y Yang, G Allez, C Cervantes
Remote sensing 2 (9), 2274-2304, 2010
2842010
A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US
M Ozdogan, G Gutman
Remote Sensing of Environment 112 (9), 3520-3537, 2008
2572008
Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment
Y Tian, CE Woodcock, Y Wang, JL Privette, NV Shabanov, L Zhou, ...
Remote Sensing of Environment 83 (3), 414-430, 2002
2542002
Simulating the effects of irrigation over the United States in a land surface model based on satellite-derived agricultural data
M Ozdogan, M Rodell, HK Beaudoing, DL Toll
Journal of Hydrometeorology 11 (1), 171-184, 2010
2192010
The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis
M Ozdogan
Remote Sensing of Environment 114 (6), 1190-1204, 2010
1862010
Resolution dependent errors in remote sensing of cultivated areas
M Ozdogan, CE Woodcock
Remote Sensing of Environment 103 (2), 203-217, 2006
1762006
Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data
C Kontgis, A Schneider, M Ozdogan
Remote Sensing of Environment 169, 255-269, 2015
1692015
Multiscale analysis and validation of the MODIS LAI product: II. Sampling strategy
Y Tian, CE Woodcock, Y Wang, JL Privette, NV Shabanov, L Zhou, ...
Remote Sensing of Environment 83 (3), 431-441, 2002
1252002
Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?
PS Thenkabail, JW Knox, M Ozdogan, MK Gumma, RG Congalton, ZT Wu, ...
PE&RS, Photogrammetric Engineering & Remote Sensing 78 (8), 773-782, 2012
1172012
Irrigation‐induced changes in potential evapotranspiration in southeastern Turkey: Test and application of Bouchet's complementary hypothesis
M Ozdogan, GD Salvucci
Water Resources Research 40 (4), 2004
1122004
Using the Landsat record to detect forest-cover changes during and after the collapse of the Soviet Union in the temperate zone of European Russia
M Baumann, M Ozdogan, T Kuemmerle, KJ Wendland, E Esipova, ...
Remote Sensing of Environment 124, 174-184, 2012
1102012
Modeling the impacts of climate change on wheat yields in Northwestern Turkey
M Özdoğan
Agriculture, ecosystems & environment 141 (1-2), 1-12, 2011
1042011
MODIS phenology-derived, multi-year distribution of conterminous US crop types
R Massey, TT Sankey, RG Congalton, K Yadav, PS Thenkabail, ...
Remote Sensing of Environment 198, 490-503, 2017
1022017
Changes in summer irrigated crop area and water use in Southeastern Turkey from 1993 to 2002: Implications for current and future water resources
M Ozdogan, CE Woodcock, GD Salvucci, H Demir
Water resources management 20 (3), 467-488, 2006
902006
Landsat remote sensing of forest windfall disturbance
M Baumann, M Ozdogan, PT Wolter, A Krylov, N Vladimirova, VC Radeloff
Remote sensing of environment 143, 171-179, 2014
852014
Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin
MT Yilmaz, MC Anderson, B Zaitchik, CR Hain, WT Crow, M Ozdogan, ...
Water Resources Research 50 (1), 386-408, 2014
852014
Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves
M Baumann, M Ozdogan, AD Richardson, VC Radeloff
International Journal of Applied Earth Observation and Geoinformation 54, 72-83, 2017
822017
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