Mutlu Ozdogan, Ph.D.
Affiliations: | 2005 | Boston University, Boston, MA, United States |
Area:
Hydrology, Physical GeographyGoogle:
"Mutlu Ozdogan"Parents
Sign in to add mentor| Guido D. Salvucci | grad student | 2005 | Boston University | |
| (The effects of irrigation on the regional hydro-climatology of southeastern Turkey.) | ||||
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Publications
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| Kang Y, Ozdogan M, Zhu X, et al. (2020) Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest Environmental Research Letters. 15: 64005 |
| Phalke AR, Özdoğan M, Thenkabail PS, et al. (2020) Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine Isprs Journal of Photogrammetry and Remote Sensing. 167: 104-122 |
| Levitan N, Kang Y, Özdoğan M, et al. (2019) Evaluation of the Uncertainty in Satellite-Based Crop State Variable Retrievals Due to Site and Growth Stage Specific Factors and Their Potential in Coupling with Crop Growth Models. Remote Sensing. 11: 1928 |
| Rufin P, Frantz D, Ernst S, et al. (2019) Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning Remote Sensing. 11: 232 |
| Eggen M, Ozdogan M, Zaitchik B, et al. (2019) Vulnerability of sorghum production to extreme, sub-seasonal weather under climate change Environmental Research Letters. 14: 045005 |
| Kang Y, Özdoğan M. (2019) Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach Remote Sensing of Environment. 228: 144-163 |
| Kontgis C, Schneider A, Ozdogan M, et al. (2019) Climate change impacts on rice productivity in the Mekong River Delta Applied Geography. 102: 71-83 |
| Phalke AR, Özdoğan M. (2018) Large area cropland extent mapping with Landsat data and a generalized classifier Remote Sensing of Environment. 219: 180-195 |
| Massey R, Sankey TT, Congalton RG, et al. (2017) MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types Remote Sensing of Environment. 198: 490-503 |
| Baumann M, Ozdogan M, Richardson AD, et al. (2017) Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves International Journal of Applied Earth Observation and Geoinformation. 54: 72-83 |