| 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 | 530 | 2011 |
| Remote sensing of irrigated agriculture: Opportunities and challenges M Ozdogan, Y Yang, G Allez, C Cervantes Remote sensing 2 (9), 2274-2304, 2010 | 404 | 2010 |
| 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 | 375 | 2014 |
| 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 | 325 | 2006 |
| 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 | 323 | 2008 |
| 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 | 313 | 2010 |
| 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 | 277 | 2002 |
| 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 | 222 | 2015 |
| 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 | 217 | 2010 |
| Resolution dependent errors in remote sensing of cultivated areas M Ozdogan, CE Woodcock Remote Sensing of Environment 103 (2), 203-217, 2006 | 205 | 2006 |
| Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach Y Ma, Z Zhang, Y Kang, M Özdoğan Remote Sensing of Environment 259, 112408, 2021 | 165 | 2021 |
| Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest Y Kang, M Ozdogan, X Zhu, Z Ye, C Hain, M Anderson Environmental Research Letters 15 (6), 064005, 2020 | 162 | 2020 |
| 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 | 157 | 2017 |
| Modeling the impacts of climate change on wheat yields in Northwestern Turkey M Özdoğan Agriculture, ecosystems & environment 141 (1-2), 1-12, 2011 | 153 | 2011 |
| 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, Z Wu, ... Photogrammetric Engineering & Remote Sensing 78 (8), 2012 | 152 | 2012 |
| Mapping croplands of Europe, middle east, russia, and central asia using landsat, random forest, and google earth engine AR Phalke, M Özdoğan, PS Thenkabail, T Erickson, N Gorelick, K Yadav, ... ISPRS Journal of Photogrammetry and Remote Sensing 167, 104-122, 2020 | 148 | 2020 |
| OpenET: Filling a critical data gap in water management for the western United States FS Melton, J Huntington, R Grimm, J Herring, M Hall, D Rollison, ... JAWRA Journal of the American Water Resources Association 58 (6), 971-994, 2022 | 146 | 2022 |
| Climate change impacts on rice productivity in the Mekong River Delta C Kontgis, A Schneider, M Ozdogan, C Kucharik, NH Duc, J Schatz Applied Geography 102, 71-83, 2019 | 135 | 2019 |
| Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach Y Kang, M Özdoğan Remote sensing of environment 228, 144-163, 2019 | 134 | 2019 |
| How universal is the relationship between remotely sensed vegetation indices and crop leaf area index? A global assessment Y Kang, M Özdoğan, SC Zipper, MO Román, J Walker, SY Hong, ... Remote sensing 8 (7), 597, 2016 | 132 | 2016 |
