World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
7573
World Ranking
6730
National Ranking
2404

Overview

Mutlu Ozdogan is affiliated with the University of Wisconsin-Madison in the United States. Their work spans multiple topics in the environmental sciences, focusing extensively on the application of remote sensing and data-driven methods in agriculture and ecosystem studies.

The scientist's research addresses areas such as Remote Sensing in Agriculture, Land Use and Ecosystem Services, Remote Sensing and LiDAR Applications, Plant Water Relations and Carbon Dynamics, Hydrology and Watershed Management Studies, Smart Agriculture and AI, and Climate Change Impacts on Agriculture.

Ozdogan has contributed to the main field of Environmental Science, with a notable focus on several subfields including Ecology, Global and Planetary Change, Environmental Engineering, Plant Science, and Water Science and Technology.

Their recent papers include the following publications:

  • OpenET: Filling a Critical Data Gap in Water Management for the Western United States, 2021, JAWRA Journal of the American Water Resources Association
  • Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach, 2021, Remote Sensing of Environment
  • Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest, 2020, Environmental Research Letters
  • Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • A data-driven approach to estimate leaf area index for Landsat images over the contiguous US, 2021, Remote Sensing of Environment

Ozdogan has collaborated frequently with several researchers, including Yanghui Kang, Sherrie Wang, Devaki Ghose, Tyler Erickson, and Martha C. Anderson.

Their work has appeared repeatedly in prominent publication venues such as Remote Sensing, SSRN Electronic Journal, Remote Sensing of Environment, JAWRA Journal of the American Water Resources Association, and Environmental Research Letters.

In addition to journal articles, Ozdogan has contributed to book publications, such as "Field-Scale Rice Area and Yield Mapping in Sri Lanka with Optical Remote Sensing and Limited Training Data," published by Washington, DC: World Bank eBooks, scheduled for 2025.

Best Publications

  • Patterns and drivers of post-socialist farmland abandonment in Western Ukraine

    Matthias Baumann;Tobias Kuemmerle;Tobias Kuemmerle;Marine Elbakidze;Marine Elbakidze;Mutlu Ozdogan

  • Remote sensing of irrigated agriculture: Opportunities and challenges

    Mutlu Ozdogan;Yang Yang;George Allez;Chelsea Cervantes

  • Global Land Cover Mapping: A Review and Uncertainty Analysis

    Russell G. Congalton;Jianyu Gu;Kamini Yadav;Prasad S. Thenkabail

  • Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data

    Mutlu Ozdogan;Mat Thew Rodell;Hiroko Kato Beaudoing;David L. Toll

  • 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;C.E. Woodcock;J. Hu;P. Zhang

  • A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US

    Mutlu Ozdogan;Garik Gutman

  • Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment

    Yuhong Tian;Yuhong Tian;Curtis E Woodcock;Yujie Wang;Jeff L Privette

  • OpenET: Filling a Critical Data Gap in Water Management for the Western United States

    Forrest S. Melton;Forrest S. Melton;Justin Huntington;Robyn Grimm;Jamie Herring

  • Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

    Yuchi Ma;Zhou Zhang;Yanghui Kang;Yanghui Kang;Mutlu Özdoğan

  • Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data

    Caitlin Kontgis;Annemarie Schneider;Mutlu Ozdogan

  • Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

    Yanghui Kang;Mutlu Ozdogan;Xiaojin Zhu;Zhiwei Ye

  • The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis

    Mutlu Ozdogan

  • Resolution dependent errors in remote sensing of cultivated areas

    Mutlu Ozdogan;Curtis E. Woodcock

  • MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types

    Richard Massey;Temuulen T. Sankey;Russell G. Congalton;Kamini Yadav

  • Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine

    Aparna R. Phalke;Mutlu Özdoğan;Prasad S. Thenkabail;Tyler Erickson

  • Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach

    Yanghui Kang;Mutlu Özdoğan

  • Irrigation‐induced changes in potential evapotranspiration in southeastern Turkey: Test and application of Bouchet's complementary hypothesis

    Mutlu Ozdogan;Guido D. Salvucci

  • Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?

    P. S. Thenkabail;J. W. Knox;M. Ozdogan;M. K. Gumma

  • Modeling the impacts of climate change on wheat yields in Northwestern Turkey

    Mutlu Özdoğan

  • Multiscale analysis and validation of the MODIS LAI product: II. Sampling strategy

    Yuhong Tian;Yuhong Tian;Curtis E Woodcock;Yujie Wang;Jeff L Privette

  • Multiscale analysis and validation of the MODIS LAI product

    Yuhong Tian;Curtis E. Woodcock;Yujie Wang;Jeff L. Privette

Frequent Co-Authors

Martha C. Anderson
Martha C. Anderson Agricultural Research Service
Curtis E. Woodcock
Curtis E. Woodcock Boston University
Benjamin F. Zaitchik
Benjamin F. Zaitchik Johns Hopkins University
Prasad S. Thenkabail
Prasad S. Thenkabail United States Geological Survey
Russell G. Congalton
Russell G. Congalton University of New Hampshire
Guido D. Salvucci
Guido D. Salvucci Boston University
Murali Krishna Gumma
Murali Krishna Gumma International Crops Research Institute for the Semi-Arid Tropics
Yuhong Tian
Yuhong Tian National Oceanic and Atmospheric Administration
Christopher Hain
Christopher Hain Marshall Space Flight Center
Matthew Rodell
Matthew Rodell Goddard Space Flight Center

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