Takip et
Prof. Dr. ilker ercanlı
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Estimating aboveground biomass using Landsat TM imagery: A case study of Anatolian Crimean pine forests in Turkey
A Günlü, I Ercanli, EZ Başkent, G Çakır
Annals of forest research 57 (2), 289-298, 2014
872014
Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height
İ Ercanlı
Forest Ecosystems 7, 1-18, 2020
422020
Dynamic base-age invariant site index models based on generalized algebraic difference approach for mixed Scots pine (Pinus sylvestris L.) and Oriental beech (Fagus orientalis …
I Ercanli, A Kahriman, H Yavuz
Turkish Journal of Agriculture and Forestry 38 (1), 134-147, 2014
382014
Trabzon ve Giresun Orman Bölge Müdürlükleri sınırları içerisinde yer alan Doğu Ladini (Picea orientalis (L.) Link) ve Sarıçam (Pinus sylvestris L.) karışık meşcereleri için …
İ Ercanlı, A Kahriman
Orman Genel Müdürlüğü, 2013
352013
Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey
İ Ercanlı, A Günlü, M Şenyurt, S Keleş
Forest Ecosystems 5, 1-12, 2018
332018
Nonlinear mixed effect models for predicting relationships between total height and diameter of Oriental beech trees in Kestel, Turkey
I Ercanli
Revista Chapingo serie ciencias forestales y del ambiente 21 (2), 185-202, 2015
302015
Modelling height-diameter relationships in complex tropical rain forest ecosystems using deep learning algorithm
FN Ogana, I Ercanli
Journal of Forestry Research 33 (3), 883-898, 2022
262022
ARTVİN GENYA DAĞI BÖLGESİNDE SAF DOĞU LADİNİ (Picea orientalis Link.) MEŞCERELERİNİN VERİMLİLİĞİ İLE BAZI EDAFİK VE FİZYOGRAFİK FAKTÖRLER ARASINDAKİ İLİŞKİLER
A Günlü, M YILMAZ, L Altun, İ ERCANLI, M Küçük
Turkish Journal of Forestry 7 (1), 1-10, 2006
222006
Net primary productivity of Anatolian forests in relation to climate, 2000–2010
S Erşahin, BC Bilgili, Ü Dikmen, I Ercanli
Forest Science 62 (6), 698-709, 2016
182016
Prediction of some stand parameters using pan-sharpened IKONOS satellite image
A Günlü, İ Ercanlı, T Sönmez, EZ Başkent
European Journal of Remote Sensing 47 (1), 329-342, 2014
182014
Sinop yöresi Sahilçamı (Pinus pinaster Ait.) ağaçlandırmalarına ilişkin tek ve çift girişli ağaç hacim tablolarının düzenlenmesi
İ ERCANLI, E GÜVENDİ, D GÜNEY, A GÜNLÜ, L ALTUN
Kastamonu University Journal of Forestry Faculty 8 (1), 14-25, 2008
182008
Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ
I Ercanli, A Gunlu, EZ Başkent
Scientia Agricola 72, 245-251, 2015
172015
Murat Dağı (Uşak) yöresinde yayılış gösteren ağaç türlerinin (kızılçam, karaçam ve sarıçam) verimliliğini etkileyen kimi ekolojik etmenlerin araştırılması
L ALTUN, E YILMAZ, A GÜNLÜ, İ ERCANLI, U Ayhan, M YILMAZ, ...
Kastamonu University Journal of Forestry Faculty 7 (1), 71-92, 2007
172007
Doğu ladini (Picea orientalis (L.) Link)-Sarıçam (Pinus sylvestris L.) karışık meşcerelerinde çap dağılımlarının olasılık yoğunluk fonksiyonları ile belirlenmesi
İ ERCANLI, H YAVUZ
Kastamonu University Journal of Forestry Faculty 10 (1), 68-83, 2010
152010
Estimation of some stand parameters from textural features from WorldView-2 satellite image using the artificial neural network and multiple regression methods: a case study …
A Günlü, İ Ercanlı, M Şenyurt, S Keleş
Geocarto International 36 (8), 918-935, 2021
142021
Artificial intelligence with deep learning algorithms to model relationships between total tree height and diameter at breast height
İ Ercanli
Forest Systems 29 (2), e013-e013, 2020
142020
Artificial neural network models by ALOS PALSAR data for aboveground stand carbon predictions of pure beech stands: a case study from northern of Turkey
A Günlü, İ Ercanlı
Geocarto international 35 (1), 17-28, 2020
142020
Estimation of leaf area index using WorldView-2 and Aster satellite image: a case study from Turkey
A Günlü, S Keleş, İ Ercanlı, M Şenyurt
Environmental monitoring and assessment 189, 1-11, 2017
142017
Positive effect of forest structural diversity on aboveground stand carbon stocks for even-aged Scots pine (Pinus sylvestris L.) stands in the Sarıçiçek Forest …
İ Ercanli
Scandinavian journal of forest research 33 (5), 455-463, 2018
132018
Estimating aboveground stand carbon by combining Sentinel-1 and Sentinel-2 satellite data: a case study from Turkey
S Keleş, A Günlü, İ Ercanli
Forest Resources Resilience and Conflicts, 117-126, 2021
122021
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20