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Toplam kayıt 13, listelenen: 1-10
3D shoreline extraction using orthophoto and LiDAR data
(Asian Association on Remote Sensing, 2016)
Shorelines are complex ecosystems and vital socio-economic environments. They may change rapidly due to both natural and human-induced effects. Determination of movements along the shoreline and monitoring of the changes ...
SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data
(Elsevier Ltd, 2023)
Decentralized solar PhotoVoltaic (PV) is one of the most promising energy sources for cities and individuals pursuing energy self-sufficiency. Especially, the already available rooftop surfaces are a major contributor to ...
Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
(Taylor and Francis Ltd., 2023)
This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary ...
Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented
(Elsevier Ltd, 2023)
Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, ...
Excessive groundwater withdrawal and resultant land subsidence in the Küçük Menderes River Basin, Turkey as estimated from InSAR-SBAS and GNSS measurements
(Elsevier Ltd, 2023)
Küçük Menderes River Basin (KMRB) is located in the western part of Turkey in the city of İzmir. The basin hosts about half a million people and 90% of the population makes their living from farming and animal husbandry. ...
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet plus
(SPRINGER, 2023)
Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ...
Comparison of histogram-curve fitting-based and global threshold methods for cloud detection
(Institute for Ionics, 2023)
The goal of this research is fit the best curve to the image histogram using polynomial (i.e., linear, quadratic, cubic, and quartic), Fourier and Gaussian with two different term numbers, and Bezier functions, and then ...
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet++
(Springer, 2023)
Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ...
Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
(Elsevier Inc., 2024)
Early detection of plant diseases is critical to prevent disease spread and assist farmers. Thanks to their high discrimination ability, Convolutional Neural Network (CNN)-based architectures can offer practical solutions ...
U–Pb zircon dating, Sr-Nd whole-rock and Lu-Hf zircon isotope analyses of the Eocene Arslandede pluton, Eastern Pontides, NE Turkey: Implications for mantle source and magma evolution
(Elsevier GmbH, 2024)
The Eastern Pontide Orogenic Belt (EPOB) hosts numerous plutonic bodies with different dimensions, compositions and ages ranging from Paleozoic to Late Eocene in NE Turkey. U-Pb zircon dating suggests that the Arslandede ...