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akaturk Academic measurement

Academician profile · DOÇENT

SEMİH KUTER

ÇANKIRI KARATEKİN ÜNİVERSİTESİ

  • Ana Dal Ziraat ve Orman ve Su Ürünleri Temel Alanı
  • Yan Dal Orman Mühendisliği
  • ORMAN FAKÜLTESİ
  • ORMAN MÜHENDİSLİĞİ BÖLÜMÜ
Articles YÖKSİS 20
Projects 1
Books 11
Proceedings 50
Patents 1
Artistic 0
Scopus (SJR)
Q1 4 Q2 5 Q3 3 Q4 0
WoS (JCR)
Q1 3 Q2 6 Q3 1 Q4 3
TR Index 2 articles

Scopus (SJR)

Q1 4 Q2 5 Q3 3 Q4 0

WoS (JCR)

TR Index

2 articles

20 publications total

Articles

  1. 2024 The use of machine learning techniques for assessing the potential of organizational resilience Central European Journal of Operations Research DOI 10.1007/s10100-023-00875-z
  2. 2024 Temporal and spatial analysis of wildlife vehicle collisions: Ankara-Çankırı Highway Turkish Journal of Forestry
  3. 2024 Evaluating the performance of the EUMETSAT H SAF H35 fractional snow-covered area product over the Tibetan Plateau Anadolu Orman Araştırmaları Dergisi
  4. 2023 Anadolu Platosundan Amerika Ovalarına: EUMETSAT H SAFın Yeni Nesil Kar Suyu Eşdeğeri Ürününün Türkiye ve ABD Üzerindeki Kıtalararası Değerlendirmesi Anadolu Orman Araştırmaları Dergisi DOI 10.53516/ajfr.1347158
  5. 2023 Understanding the Snow Cover Climatology over Turkey from ERA5-Land Reanalysis Data and MODIS Snow Cover Frequency Product Geosciences DOI https://www.mdpi.com/2076-3263/13/10/311
  6. 2022 Modelling of road-kill hotspots in steppe landscape in Turkey Landscape and Ecological Engineering DOI 10.1007/s11355-022-00515-9
  7. 2022 A machine learning-based accuracy enhancement on EUMETSAT H-SAF H35 effective snow-covered area product Remote Sensing of Environment DOI 10.1016/j.rse.2022.112947
  8. 2022 EUMETSAT H-SAF H13 UZAY TABANLI KAR SUYU EŞDEĞERİ ÜRÜNÜNÜN 2020-2021 KAR YILI İÇİN YERSEL KAR DERİNLİĞİ ÖLÇÜMLERİYLE TÜRKİYE ÜZERİNDE DOĞRULANMASI Anadolu Orman Araştırmaları Dergisi DOI 10.53516/ajfr.1145662
  9. 2021 Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression Remote Sensing of Environment DOI 10.1016/j.rse.2021.112294
  10. 2021 EUMETSAT H-SAF H10 KAR ALGILAMA ÜRÜNÜNÜN YER VERİSİ VE SENTINEL 2 GÖRÜNTÜLERİ KULLANILARAK 2018-2019 TÜRKİYE KAR SEZONU İÇİN DOĞRULAMASI Anadolu Orman Araştırmaları Dergisi DOI 10.53516/ajfr.944309
  11. 2020 2017-2018 Türkiye Kar Sezonu İçin MODIS Etkili Kar Örtüsü Ürününün Sentinel 2 Görüntüleriyle Doğrulaması Bartın Orman Fakültesi Dergisi DOI https://dergipark.org.tr/en/pub/barofd/issue/54412/694267
  12. 2019 Cross-Country Assessment of H-SAF Snow Products by Sentinel-2 Imagery Validated against In-Situ Observations and Webcam Photography Geosciences DOI 10.3390/geosciences9030129
  13. 2019 Destek Vektör Makineleri ile MODIS Verisinden Fraksiyonel Kar Örtüsünün Ilgaz Orman İşletme Müdürlüğü Bölgesinde Belirlenmesi Bartın Orman Fakültesi Dergisi DOI https://dergipark.org.tr/en/pub/barofd/issue/46384/595462
  14. 2018 Investigation of Wildfires at Forested Landscapes: A Novel Contribution to Nonparametric Density Mapping at Regional Scale Applied Ecology and Environmental Research
  15. 2018 Retrieval of fractional snow covered area from MODIS data by multivariate adaptive regression splines Remote Sensing of Environment DOI https://linkinghub.elsevier.com/retrieve/pii/S0034425717305709
  16. 2017 A progressive approach for processing satellite data by operational research Operational Research DOI 10.1007/s12351-016-0229-x
  17. 2015 Inversion of top of atmospheric reflectance values by conic multivariate adaptive regression splines Inverse Problems in Science and Engineering DOI 10.1080/17415977.2014.933828
  18. 2011 Forest Fire Risk Mapping by Kernel Density Estimation Croatian Journal of Forest Engineering
  19. 2011 Bandwidth determination for kernel density analysis of wildfire events at forest sub district scale Ecological Modelling DOI 10.1016/j.ecolmodel.2011.06.006
  20. 2010 Accuracy comparison between GPS and DGPS A field study at METU campus Italian Journal of Remote Sensing DOI 10.5721/ItJRS20104231

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