Atıf İçin Kopyala
BENLİAY A., YILMAZ T., OLGUN R., Ak M. K.
JOURNAL OF ENVIRONMENTAL BIOLOGY, cilt.41, sa.2, ss.344-350, 2020 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
41
Sayı:
2
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Basım Tarihi:
2020
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Doi Numarası:
10.22438/jeb/41/2(si)ijeb-10
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Dergi Adı:
JOURNAL OF ENVIRONMENTAL BIOLOGY
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Emerging Sources Citation Index (ESCI), Scopus, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Environment Index, Geobase, Pollution Abstracts, Veterinary Science Database
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Sayfa Sayıları:
ss.344-350
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Anahtar Kelimeler:
Artificial Neural Networks, NDVI, Climatic comfort, THERMAL COMFORT, LOCAL CLIMATE, URBAN-GROWTH, URBANIZATION, HEAT
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Akdeniz Üniversitesi Adresli:
Evet
Özet
Aim: The aim of this study was to evaluate the relationship between vegetation change obtained by NDVI analysis and climatic comfort factors by using an artificial neural network model. M