Mustafa Üstüner

Integration of multi-temporal sentinel-1 and sentinel-2 data for paddy rice crop height estimation and uncertainty assessment using quantile regression forests

Precision Agriculture

Lai Estimation of Paddy Rice Using Sentinel-2 Vegetation Indices

Exploring Sentinel-1 and Sentinel-2 Time Series Sensitivity to Rice Height

Innovative remote sensing methodologies and applications in coastal and marine environments

Geo-spatial Information Science

Toprak neminin yarı kurak alanlarda çok zamanlı RADARSAT-2 verileri ile incelenmesi

Journal of Geodesy and Geoinformation

REPEAT-PASS INTERFEROMETRIC AND BACKSCATTER ANALYSIS OF X-BAND PAZ SATELLITE – FIRST RESULTS

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage

Applied Sciences

Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation

ISPRS International Journal of Geo-Information

A Booster Analysis of Extreme Gradient Boosting for Crop Classification using PolSAR Imagery

Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage

Zenodo (CERN European Organization for Nuclear Research)

An Assessment of Urban Area Extraction Using ALOS-2 Data

Comparison of Object and Pixel-Based Classifications for Mapping Crops Using Rapideye Imagery: A Case Study of Menemen Plain, Turkey

International Journal of Environment and Geoinformatics

AN APPLICATION OF ROLL-INVARIANT POLARIMETRIC FEATURES FOR CROP CLASSIFICATION FROM MULTI-TEMPORAL RADARSAT-2 SAR DATA

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Comparing the classification performances of supervised classifiers with balanced and imbalanced SAR data sets

Kernel extreme learning machines for PolSAR image classification using spatial features

Land use and cover classification of Sentinel-IA SAR imagery: A case study of Istanbul

Combining Landsat and ALOS data for land cover mapping

Evaluating training data for crop type classifıcation using support vector machine and random forests : Procjena klasifikacije testnih podataka za potrebe određivanja vrste kulture korištenjem metoda mašina vektora podrške i slučajnih šuma

DOAJ (DOAJ: Directory of Open Access Journals)

LAND COVER MAPPING USING SENTINEL-1 SAR DATA

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

LAND COVER MAPPING USING SENTINEL-1 SAR DATA

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences