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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

IForest (Viterbo), 2023, Vol.16 (1), p.30-37

2023

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Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data

Arabian journal of geosciences, 2022, Vol.15 (9), Article 838

2022

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Estimation of forest development stage and crown closure using different classification methods and satellite images: A case study from Turkey

Journal of forest science (Praha), 2019, Vol.65 (1), p.18-26

2019

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Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests

International journal of remote sensing, 2024-06, Vol.45 (12), p.3846-3870

2024

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The Evaluation of temporal and spatial change of aboveground stand carbon: A case study of Upstream of The Göksu River Basin

Turkish Journal of Forestry (Online), 2019-12, Vol.20 (4), p.352-359

2019

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Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye

Geocarto international, 2023-12, Vol.38 (1)

2023

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Estimating aboveground biomass using Landsat 8 OLI satellite image in pure Crimean pine (Pinus nigra J.F. Arnold subsp. pallasiana (Lamb.) Holmboe) stands: a case from Turkey

Geocarto international, 2022-02, Vol.37 (3), p.720-734

2022

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Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning

Ecological informatics, 2023-09, Vol.76, p.102137, Article 102137

2023

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Arazi Kullanım Sınıfları İçin Farklı Kontrollü Sınıflandırma Algoritmalarının Karşılaştırılması

Kastamonu Üniversitesi Orman Fakültesi Dergisi, 2016-12, Vol.16 (2)

2016

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Comparison of Different Classification Approaches for Land Cover Classification using Multispectral and Fusion Satellite Data: A Case Study in Ören Forest Planning Unit

Bartın Orman Fakültesi Dergisi, 2021-04, Vol.23 (1), p.306-322

GÜNLÜ, Alkan

2021

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The effects of catchment melioration on land use types and land cover (LULC) between 1990 - 2014 in Çorum - Osmancık - Emine Creek watersheds

Turkish Journal of Forestry (Online), 2018-07, Vol.19 (2), p.149-155

2018

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Effects of precommercial thinning intensity on growth of Fagus orientalis Lipsky stands over 6 years

Journal of forestry research, 2022-06, Vol.33 (3), p.937-947

2022

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Assessment of the interactions among net primary productivity, leaf area index and stand parameters in pure Anatolian black pine stands: A case study from Türkiye

Forest systems, 2023-01, Vol.32 (1), p.e003

2023

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

Environmental monitoring and assessment, 2020-01, Vol.192 (1), p.53-53, Article 53

2020

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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, 2020-01, Vol.35 (1), p.17-28

2020

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Saf Kızılçam (Pinus brutia Ten.) Meşcerelerinde Aktif ve Pasif Uydu Görüntüleri Kullanılarak Topraküstü Biyokütlenin Tahmin Edilmesi (Anamur Orman İşletme Şefliği Örneği)

Bartın Orman Fakültesi Dergisi, 2023-04, Vol.25 (1), p.177-191

2023

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Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation indices

Ecological informatics, 2024-03, Vol.79, p.102461, Article 102461

2024

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Regression kriging to improve basal area and growing stock volume estimation based on remotely sensed data, terrain indices and forest inventory of black pine forests

New Zealand journal of forestry science, 2020, Vol.50 (4)

Bolat, Ferhat

2020

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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

Geocarto international, 2021-05, Vol.36 (8), p.918-935

2021

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

Environmental monitoring and assessment, 2017-11, Vol.189 (11), p.538-538, Article 538

2017

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

Bosque (Valdivia, Chile), 2020-04, Vol.41 (1), p.25-34

2020

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Saf Karaçam Meşcerelerinde Yaprak Alan İndeksi ile Meşcere Parametreleri Arasındaki İlişkilerin Modellenmesi

Bartın Orman Fakültesi Dergisi, 2021-12, Vol.23 (3), p.980-989

2021

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Estimation of Crown Closure and Tree Density Using Landsat TM Satellite Images in Mixed Forest Stands

Journal of the Indian Society of Remote Sensing, 2014, Vol.42 (3), p.559-567

2014

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

European journal of remote sensing, 2014-01, Vol.47 (1), p.329-342

2014

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Toprak Nemi İle Radarsat Geri Yansıtım Değerleri Arasındaki İlişkiler; Artvin-Merkez ve Gümüşhane-Karanlıkdere Orman Planlama Birimi Örnekleri

Kastamonu Üniversitesi Orman Fakültesi Dergisi, 2017-03, p.36-36

2017

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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

Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data

Estimation of forest development stage and crown closure using different classification methods and satellite images: A case study from Turkey

Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests

The Evaluation of temporal and spatial change of aboveground stand carbon: A case study of Upstream of The Göksu River Basin

Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye

Estimating aboveground biomass using Landsat 8 OLI satellite image in pure Crimean pine (Pinus nigra J.F. Arnold subsp. pallasiana (Lamb.) Holmboe) stands: a case from Turkey

Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning

Arazi Kullanım Sınıfları İçin Farklı Kontrollü Sınıflandırma Algoritmalarının Karşılaştırılması

Comparison of Different Classification Approaches for Land Cover Classification using Multispectral and Fusion Satellite Data: A Case Study in Ören Forest Planning Unit

The effects of catchment melioration on land use types and land cover (LULC) between 1990 - 2014 in Çorum - Osmancık - Emine Creek watersheds

Effects of precommercial thinning intensity on growth of Fagus orientalis Lipsky stands over 6 years

Assessment of the interactions among net primary productivity, leaf area index and stand parameters in pure Anatolian black pine stands: A case study from Türkiye

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

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

Saf Kızılçam (Pinus brutia Ten.) Meşcerelerinde Aktif ve Pasif Uydu Görüntüleri Kullanılarak Topraküstü Biyokütlenin Tahmin Edilmesi (Anamur Orman İşletme Şefliği Örneği)

Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation indices

Regression kriging to improve basal area and growing stock volume estimation based on remotely sensed data, terrain indices and forest inventory of black pine forests

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

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

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

Saf Karaçam Meşcerelerinde Yaprak Alan İndeksi ile Meşcere Parametreleri Arasındaki İlişkilerin Modellenmesi

Estimation of Crown Closure and Tree Density Using Landsat TM Satellite Images in Mixed Forest Stands

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

Toprak Nemi İle Radarsat Geri Yansıtım Değerleri Arasındaki İlişkiler; Artvin-Merkez ve Gümüşhane-Karanlıkdere Orman Planlama Birimi Örnekleri

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