Mutlu Ozdogan
University of Wisconsin-Madison
H-index: 45
North America-United States
Top articles of Mutlu Ozdogan
A machine learning and remote sensing‐based model for algae pigment and dissolved oxygen retrieval on a small inland lake
Water Resources Research
2024/3
Development of machine learning models for estimating wheat biophysical variables using satellite-based vegetation indices
Advances in Space Research
2024/1/1
An Operational Data-Driven Framework For Developing High-Resolution Leaf Area Index Products
2023/7/16
Mutlu Ozdogan
H-Index: 27
Feng Gao
H-Index: 59
Three decades of forest cover change in Senegal from remote sensing
2022/12/30
Climate information services in Mali in the context of climate
2022/12/1
OpenET: Filling a critical data gap in water management for the western United States
JAWRA Journal of the American Water Resources Association
2022/12
Climate Resilience across Topographic Gradients in the Highlands of Ethiopia
Authorea Preprints
2022/11/22
Mapping forest types over large areas with Landsat imagery partially affected by clouds and SLC gaps
International Journal of Applied Earth Observation and Geoinformation
2022/3/1
Mutlu Ozdogan
H-Index: 27
Fine-Scale Urban Heat Patterns in New York City Measured by ASTER Satellite—The Role of Complex Spatial Structures
Remote Sensing
2021/9/22
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
Remote Sensing of Environment
2021/6/15
A data-driven approach to estimate leaf area index for Landsat images over the contiguous US
Remote Sensing of Environment
2021/6/1
Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on …
2021
Generating MODIS-consistent High-resolution Leaf Area Index for Landsat and Sentinel-2 with a Data-driven Approach
AGU Fall Meeting Abstracts
2020/12
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
2020/9/1
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
Environmental Research Letters
2020/5/19
