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Other IDs

Scopus Author ID: 24171000100

Keywords

Forest Biometrician, Forest growth and Yield Model, Artificial Neural Network Model

Countries

Türkiye

Activities

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Employment (1)

Çankırı Karatekin Üniversitesi: Cankiri, Çankırı, TR

2011-01-01 to present | Professor (Forest Faculty)
Employment
Source: Self-asserted source
ilker ercanli

Education and qualifications (3)

Karadeniz Technical University: Trabzon, Trabzon, TR

2003-09-01 to 2010-02-05 | Phd (Forest Faculty-Forest Management)
Education
Source: Self-asserted source
ilker ercanli

Karadeniz Technical University: Trabzon, Trabzon, TR

2000-09-01 to 2003-07-01 | Msc (Forest Faculty- Forest Management )
Education
Source: Self-asserted source
ilker ercanli

Karadeniz Technical University: Trabzon, Trabzon, TR

1996-09-01 to 2000-06-30 | Forest Engineer (Forest Faculty)
Education
Source: Self-asserted source
ilker ercanli

Works (22)

Deep learning algorithms for addressing overfitting and biological realism in tree taper and volume predictions

Canadian Journal of Forest Research
2024-12-01 | Journal article
DOI: 10.1139/cjfr-2024-0068
Contributors: İlker Ercanlı
Source: check_circle
Crossref

ÇAKÜ Araştırma Ormanı Karaçam meşcereleri için tek ve çift girişli toprak üstü ağaç biyokütle denklemlerinin geliştirilmesi

Anadolu Orman Araştırmaları Dergisi
2024-01-01 | Journal article
DOI: 10.53516/ajfr.1376635
Contributors: İlker ERCANLI; Muammer ŞENYURT; Alkan GUNLU; Meriç ÇAKIR; Ferhat BOLAT; Sinan BULUT
Source: check_circle
Crossref

An evaluation of various probability density functions for predicting diameter distributions in pure and mixed-species stands in Türkiye

Forest Systems
2023-08-28 | Journal article
DOI: 10.5424/fs/2023323-20130
Contributors: Abdurrahman SAHIN; Ilker ERCANLI
Source: check_circle
Crossref

Karışık etkili modelleme yaklaşımıyla karaçam hacim denklemlerinin geliştirilmesi

Ormancılık Araştırma Dergisi
2023-06-30 | Journal article
DOI: 10.17568/ogmoad.900501
Contributors: Abdurrahman ŞAHİN; İlker ERCANLI
Source: check_circle
Crossref

A comparison of artificial neural networks and regression modeling techniques for predicting dominant heights of Oriental spruce in a mixed stand

Forest Systems
2023-02-20 | Journal article
DOI: 10.5424/fs/2023321-19134
Contributors: Ilker ERCANLI; Ferhat BOLAT; Hakkı YAVUZ
Source: check_circle
Crossref

Artificial intelligence with deep learning algorithms to model relationships between total tree height and diameter at breast height

Forest Systems
2020-11-16 | Journal article
DOI: 10.5424/fs/2020292-16393
Contributors: İlker Ercanli
Source: check_circle
Crossref

Artificial neural network models by ALOS PALSAR data for aboveground stand carbon predictions of pure beech stands: a case study from northern of Turkey

Geocarto International
2018 | Journal article
DOI: 10.1080/10106049.2018.1499817
EID:

2-s2.0-85053554240
Contributors: Günlü, A.; Ercanlı, İ.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Positive effect of forest structural diversity on aboveground stand carbon stocks for even-aged Scots pine (Pinus sylvestris L.) stands in the Sarıçiçek Forest, Northern Turkey

Scandinavian Journal of Forest Research
2018 | Journal article
DOI: 10.1080/02827581.2018.1444196
EID:

2-s2.0-85042908745
Contributors: Ercanli, İ.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Estimation of leaf area index using WorldView-2 and Aster satellite image: a case study from Turkey

Environmental Monitoring and Assessment
2017 | Journal article
DOI: 10.1007/s10661-017-6254-2
EID:

2-s2.0-85030871578
Contributors: Günlü, A.; Keleş, S.; Ercanlı, İ.; Şenyurt, M.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Taper equations based on nonlinear mixed effect modeling approach for Pinus nigra in Çankırı forests,Ecuaciones de ahusamiento basadas en un enfoque de modelado no lineal de efectos mixtos para Pinus nigra en bosques de Çankırı

Bosque
2017 | Journal article
DOI: 10.4067/S0717-92002017000300012
EID:

2-s2.0-85042739180
Contributors: Şenyurt, M.; Ercanlı, İ.; Bolat, F.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Net primary productivity of anatolian forests in relation to climate, 2000-2010

Forest Science
2016 | Journal article
DOI: 10.5849/forsci.15-171
EID:

2-s2.0-85007394756
Contributors: Erşahin, S.; Bilgili, B.C.; Dikmen, Ü.; Ercanli, I.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Mixed effect models for predicting breast height diameter from stump diameter of oriental beech in göldağ

Scientia Agricola
2015 | Journal article
DOI: 10.1590/0103-9016-2014-0225
EID:

2-s2.0-84927944788
Contributors: Ercanli, I.; Gunlu, A.; Başkent, E.Z.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Modelling of stand volume and tree density using Spot-4 satellite image: A case study in Devrez planning unit

International Journal of Global Warming
2015 | Journal article
DOI: 10.1504/IJGW.2015.070047
EID:

2-s2.0-84944687061
Contributors: Günlü, A.; Ercanli, I.; Keles, S.; Anlar, H.C.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Nonlinear mixed effect models for predicting relationships between total height and diameter of oriental beech trees in Kestel, Turkey,Modelos no lineales de efectos mixtos para predecir relaciones entre altura total y diámetro de árboles de haya oriental en Kestel, Turquía

Revista Chapingo, Serie Ciencias Forestales y del Ambiente
2015 | Journal article
DOI: 10.5154/r.rchscfa.2015.02.006
EID:

2-s2.0-84940937057
Contributors: Ercanli, I.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

The evaluation of different forest structural indices to predict the stand aboveground biomass of even-aged Scotch pine (Pinus sylvestris L.) forests in Kunduz, Northern Turkey

Environmental Monitoring and Assessment
2015 | Journal article
DOI: 10.1007/s10661-014-4248-x
EID:

2-s2.0-84930225461
Contributors: Ercanli, İ.; Kahriman, A.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

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 Lipsky) stands

Turkish Journal of Agriculture and Forestry
2014 | Journal article
DOI: 10.3906/tar-1212-67
EID:

2-s2.0-84890216115
Contributors: Ercanli, I.; Kahriman, A.; Yavuz, H.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Estimating aboveground biomass using landsat TM imagery: A case study of Anatolian Crimean pine forests in Turkey

Annals of Forest Research
2014 | Journal article
DOI: 10.15287/afr.2014.278
EID:

2-s2.0-84920093317
Contributors: Günlü, A.; Ercanli, İ.; Başkent, E.Z.; Çakır, G.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Prediction of some stand parameters using pan-sharpened IKONOS satellite image

European Journal of Remote Sensing
2014 | Journal article
DOI: 10.5721/EuJRS20144720
EID:

2-s2.0-84900427209
Contributors: Günlü, A.; Ercanli, I.; Sönmez, T.; Başkent, E.Z.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Site index conversion equations for mixed stands of Scots pine (Pinus sylvestris L.) and Oriental beech (Fagus orientalis Lipsky) in the Black Sea Region, Turkey

Turkish Journal of Agriculture and Forestry
2013 | Journal article
DOI: 10.3906/tar-1209-80
EID:

2-s2.0-84880779557
Contributors: Kahriman, A.; Yavuz, H.; Ercanli, I.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

A distance-independent basal area growth model for oriental spruce (Picea orientalis (l.) Link) growing in mixture with oriental beech (Fagus orientalis Lipsky) in the Artvin region, North-East Turkey

African Journal of Agricultural Research
2009 | Journal article
EID:

2-s2.0-70249098502
Contributors: Sönmez, T.; Ercanli, I.; Kele, Ş.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Classifying oriental beech (Fagus orientalis Lipsky.) forest sites using direct, indirect and remote sensing methods: A case study from Turkey

Sensors
2008 | Journal article
DOI: 10.3390/s8042526
EID:

2-s2.0-43049110614
Contributors: Günlü, A.; Baskent, E.Z.; Kadiogullari, A.I.; Ercanli, I.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Relationship between site index of oriental spruce [Picea orientalis (L.) Link] and ecological variables in Macka, Turkey

Scandinavian Journal of Forest Research
2008 | Journal article
DOI: 10.1080/02827580802249100
EID:

2-s2.0-49949087015
Contributors: Ercanli, I.; Gunlu, A.; Altun, L.; Zeki Baskent, E.
Source: Self-asserted source
ilker ercanli via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for Trees. (1)
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