İ. Ercanli

发表

Modelling height-diameter relationships in complex tropical rain forest ecosystems using deep learning algorithm

Friday Nwabueze Ogana, Ilker Ercanli, İlker Ercanli, 2021, Journal of Forestry Research.

Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ

A. Günlü, E. Başkent, İ. Ercanli, 2015 .

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

A. Günlü, İlker Ercanli, E. Z. Başkent, 2014 .

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

İlker Ercanli, Aydın Kahriman, H. Yavuz, 2014 .

Evaluating different spatial interpolation methods and modeling techniques for estimating spatial forest site index in pure beech forests: a case study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2019, Environmental Monitoring and Assessment.

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

İlker Ercanli, Lokman Altun, A. Gunlu, 2008 .

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

Aydın Kahriman, H. Yavuz, İ. Ercanli, 2013 .

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

İlker Ercanli, İ. Ercanli, 2018 .

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

İlker Ercanli, İ. Ercanli, 2020, Forest Systems.

Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

İlker Ercanli, İ. Ercanli, 2020, Forest Ecosystems.

Estimating aboveground stand carbon by combining Sentinel-1 and Sentinel-2 satellite data: a case study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2021, Forest Resources Resilience and Conflicts.

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

İlker Ercanli, Aydın Kahriman, İlker Ercanli, 2015, Environmental Monitoring and Assessment.

Estimation of Aboveground Stand Carbon using Landsat 8 OLI Satellite Image: A Case Study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2020 .

Yield of forests in Ankara Regional Directory of Forestry in Turkey: comparison of regression and artificial neural network models based on statistical and biological behaviors

A. Günlü, İ. Ercanli, F. Bolat, 2023, iForest - Biogeosciences and Forestry.

Artificial neural network models for predicting relationships between diameter at breast height and stump diameter: Crimean pine stands at ÇAKÜ Forest

A. Günlü, İlker Ercanli, M. Şenyurt, 2020, Bosque (Valdivia).

Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2018, Forest Ecosystems.

Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2018, Forest Ecosystems.

Taper equations based on nonlinear mixed effect modeling approach for Pinus nigra in Çankırı forests

M. Şenyurt, İ. Ercanli, F. Bolat, 2017 .

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

A. Günlü, İlker Ercanli, S. Keleş, 2017, Environmental Monitoring and Assessment.

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, İlker Ercanli, İ. Ercanli, 2018, Geocarto International.

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 from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2019, Geocarto International.

Developing dynamic site index models by using autoregresive modeling approach for scots pine stands in Çankırı forests

İlker Ercanli, M. Şenyurt, Ferhat Bolat, 2014 .

Dynamic base-age invariant site index models for Scotch pine (Pinus silvestris L.) in Kastamonu Forest Regional Directorate

M. Şenyurt, İ. Ercanli, 2013 .

Comparing parameter recovery methods for diameter distribution models of oriental spruce (Picea orientalis (L.) Link.) and scotch pine (Pinus sylvestris L.) mixed stands located Trabzon and Giresun forest Regional Directorate

İlker Ercanli, Ferhat Bolat, Aydın Kahriman, 2013 .

Prediction of Some Stand Parameters using Pan-Sharpened IKONOS Satellite Image

A. Günlü, İlker Ercanli, E. Z. Başkent, 2014 .