Ormancılıkta makine öğrenmesi kullanımı

R Eker, KC Alkiş, Z Uçar, A Aydın - Turkish Journal of Forestry, 2023 - dergipark.org.tr
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …

Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil

JS Santos, AR de Mendonça, FG Gonçalves… - Ecological …, 2023 - Elsevier
Remote sensing applications in forest inventories allow for a detailed view of areas with
extensive forest cover while potentially lowering costs. In this context, the objective of this …

A novel bottleneck residual and self-attention fusion-assisted architecture for land use recognition in remote sensing images

A Hamza, MA Khan, S Ur Rehman… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The massive yearly population growth is causing hazards to spread swiftly around the world
and have a detrimental impact on both human life and the world economy. By ensuring early …

Improving the Estimation of Structural Parameters of a Mixed Conifer–Broadleaf Forest Using Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial …

J Karthigesu, T Owari, S Tsuyuki, T Hiroshima - Remote Sensing, 2024 - mdpi.com
Forest structural parameters are crucial for assessing ecological functions and forest quality.
To improve the accuracy of estimating these parameters, various approaches based on …

Assessment of long-term mangrove distribution using optimised machine learning algorithms and landscape pattern analysis

AA Bindajam, J Mallick, S Talukdar… - … Science and Pollution …, 2023 - Springer
Mangrove ecosystems provide numerous benefits, including carbon storage, coastal
protection and food for marine organisms. However, mapping and monitoring of mangrove …

UAV and satellite-based prediction of aboveground biomass in scots pine stands: a comparative analysis of regression and neural network approaches

H Aksoy, A Günlü - Earth Science Informatics, 2025 - Springer
Forest ecosystems play a vital role in balancing the global climate through functions such as
regulating carbon emissions, carbon sequestration, and energy and water cycles …

Estimation stand volume, basal area and quadratic mean diameter using Landsat 8 OLI and Sentinel‐2 satellite image with different machine learning techniques

H Aksoy - Transactions in GIS, 2024 - Wiley Online Library
The data required for sustainable forest planning is provided by traditional forest inventories,
which are labor, time, and cost‐intensive. Providing this data quickly, reliably, and accurately …

Automatic extraction of forest inventory variables at the tree level by using smartphone images to construct a three-dimensional model

J Song, Q Huang, Y Zhao, W Song, Y Fan, C Lu - Forests, 2023 - mdpi.com
This paper focuses on the current urgent demand for the accurate measurement of forest
inventory variables in the fields of forestry carbon sink measurement, ecosystem research …

Mapping and Estimating Forest Stand Volume using Machine Learning Methods and Multi-Spectral Sentinel 2 Data

NM Matso, HB Ong, EV Barcellano - European Journal of Theoretical and …, 2024 - ejtas.com
Sustainable forest management necessitates the mapping and estimation of forest stand
attributes such as density, volume, basal area, and aboveground biomass. This study was …

Modeling Volume, Basal Area and Tree Density in the Kalala Forest in Northern Iran Using Sentinel-2 Satellite Data and Random Forest Algorithm

H Ali - Syrian Journal for Science and Innovation, 2023 - journal.hcsr.gov.sy
Gathering accurate data on forest resources is one of the most important steps in
sustainable planning for these forests. Remote sensing techniques have been widely used …