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M. Furkan Celik

Mehmet Furkan Celik

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2020 – today

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2024
[c11]
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Muhammed Rasit Çevikalp, Mustafa Serkan Isik, Mehmet Furkan Celik, Nebiye Musaoglu:
A Deep Learning Approach for Short-Term Soil Moisture Retrieval Using CYGNSS. IGARSS 2024: 4472-4476
[c10]
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Yagiz Fistanli, Umut Yildirim, Mustafa Serkan Isik, Mehmet Furkan Celik, Esra Erten:
Identifying Yield Predictors Behaving as a Geotag: A Time-Varying Analysis of a Nationwide Cotton Data. IGARSS 2024: 4999-5002
[c9]
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Mustafa Serkan Isik, Mehmet Furkan Celik, Esra Erten:
Unveiling the High-Resolution Cotton Yield Variations from Low-Resolution Statistics: Lessons from a Nationwide Study in Turkey. IGARSS 2024: 5040-5043
2023
[j3]
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  - journals/lgrs/CelikITEC23
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Mehmet Furkan Celik, Mustafa Serkan Isik, Gülsen Taskin, Esra Erten, Gustau Camps-Valls:
Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
[c8]
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Mustafa Serkan Isik, Mehmet Furkan Celik, Esra Erten:
Interpretable Cotton Yield Prediction Model Using Earth Observation Time Series. IGARSS 2023: 3442-3445
[c7]
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Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gustau Camps-Valls:
Explainability of End and Mid-Season Cotton Yield Predictors In Conus. IGARSS 2023: 3538-3541
[c6]
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Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gülsen Taskin:
Informative Earth Observation Variables for Cotton Yield Prediction Using Explainable Boosting Machine. IGARSS 2023: 3542-3545
2022
[j2]
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Mehmet Furkan Celik, Esra Erten:
Biophysical parameter estimation of crops from polarimetric synthetic aperture radar imagery with data-driven polynomial chaos expansion and global sensitivity analysis. Comput. Electron. Agric. 194: 106781 (2022)
[j1]
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Mehmet Furkan Celik, Mustafa Serkan Isik, Onur Yuzugullu, Noura Fajraoui, Esra Erten:
Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning. Remote. Sens. 14(21): 5584 (2022)
2021
[c5]
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Mehmet Furkan Celik, Esra Erten:
Principal Component Analysis Based Polynomial Chaos Expansion Regression of Leaf Area Index from Polsar Imagery. IGARSS 2021: 6096-6099

2010 – 2019

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2018
[c4]
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M. Furkan Celik, Onur Yuzugullu, Esra Erten:
Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery. IGARSS 2018: 9363-9366
2017
[c3]
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Esra Erten, Cristian Rossi, Juan M. Lopez-Sanchez, Mehmet Furkan Celik:
Interferometric SAR for characterization of wetland lakes as a function of suspending sediment cover and depth. IGARSS 2017: 6239-6242
[c2]
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  - conf/siu/YalcinC17
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Hulya Yalcin, M. Furkan Celik:
Neighbourhood characterization using visual architectural features. SIU 2017: 1-4
[c1]
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Hulya Yalcin, M. Furkan Celik, Esra Erten:
Detecting rooftops in 3D point clouds for solar mapping. SIU 2017: 1-4

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