Yeni nesil multispektral ve hiperspektral uydu görüntülerinin arazi örtüsü / arazi kullanımı sınıflandırma performanslarının karşılaştırılması: Sentinel-2 ve PRISMA Uydusu

TIRMANOĞLU, Buse; Ismailoglu, Irem; Kokal, A. Tuzcu; Musaoğlu, Nebiye

doi:10.29128/geomatik.1126685

Cited by 5 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the usage information of the land where the road is located will be included in the cost calculations. Land use data is a raster data obtained from [28][29][30][31][32][33]. In order to adapt this data to the road network, 30-meter buffer zones were created for all road vector data.…”

Section: Methodsmentioning

confidence: 99%

Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example

ŞİRİN,

ERENER

2024

International Journal of Engineering and Geosciences

View full text Add to dashboard Cite

Means of transportation are in a large part of our daily life. Along with the development of technology, we encounter different types of transportation vehicles, but we also encounter different problems. For electric scooters, which is one of the new types of transportation vehicles that are seen to be used in vehicle traffic, it seems that there are question marks among the public about the use of vehicles and the rules. It is seen that the legal regulations and rules in this field are not sufficiently standardized in Turkey yet. Among these question marks, safety, comfort and vehicle characteristics draw attention on which roads electric scooters should choose during their use. In the research, various applications and examinations were made on the parameters of slope, road class, length of the road and land cover, among the parameters considered in the optimal road preferences, where there is a starting point and an end point for electric scooters. For the research, Dijkstra's Algorithm, QGIS GIS software, python programming language and various modules were used to use the shortest path problem, cost calculations and various data processing methods. These applications were compared within the Work titles and the effects of different parameters on the optimal route preferences were compared and discussed. The results of the research were discussed in terms of relevance, and it was determined what improvements could be added and what effects it could have on other researches that could be done on this subject. As a result, it has been seen that the parameters in the research directly affect the results in the applications in different works and bring diversity and the expected results are achieved. It has been determined that the addition of additional parameters such as the maximum distance or time that can be traveled for vehicles such as electric scooters, the use of more sensitive and various sources will further develop this research and its importance in this type of research.

show abstract

Section: Methodsmentioning

confidence: 99%

Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example

ŞİRİN,

ERENER

2024

International Journal of Engineering and Geosciences

View full text Add to dashboard Cite

show abstract

“…Multispectral image classification has been used in monitoring tropical forests, which are an important and rich source in terms of biological diversity [6], in determining the spatial distribution of vineyards [7][8][9], in monitoring coastal changes [10], in monitoring urban development [11], in agriculture [12], designing rangeland information systems [13], in object extraction [14], in land cover classification [15][16][17][18][19][20], burning area mapping [21], and in classification of different product types [22].…”

Section: Introductionmentioning

confidence: 99%

“…International Journal of Engineering and Geosciences, 2024, 9(1),[12][13][14][15][16][17][18][19][20][21][22][23][24] …”

mentioning

confidence: 99%

Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection

AKAR,

SARALIOĞLU,

GÜNGÖR

et al. 2024

International Journal of Engineering and Geosciences

View full text Add to dashboard Cite

Erzincan (Cimin) grape, which is an endemic product, makes a significant contribution to the economy of both the region where it is grown and the country's economy. For this reason, the follow-up and dissemination of this product have become increasingly important. The study aims to determine the spatial distribution of vineyards by classifying very-high spatial resolution satellite images using machine learning and deep learning algorithms. A 3D Convolutional Neural Network (CNN) based deep learning model was created for classification vineyards. Then, this model has compared machine learning algorithms, namely support vector machine (SVM), Random Forest (RF), and Rotation Forest (RTF). Post-classification accuracy analyses were performed using error matrices, kappa analysis and McNemar tests, and the best overall classification accuracies and kappa values were obtained for 3D CNN and RF as 86.47% (0.8308) and 70.53% (0.6279), respectively. It was seen that the accuracy of RF increased to 75.94% (0.6364) when Gabor texture features were used, yet the highest classification accuracy was obtained with the 3D CNN classifier with an 11% higher score (86.47%). The χ^2 values calculated with the McNemar's statistical hypothesis test for all classification results are higher than 3.84 at the 95% confidence interval, indicating that the 3D CNN classifier has improved the classification accuracy, significantly.

show abstract

“…Many countries in Sub-Saharan Africa are still undergoing land reforms since independence and they are still experiencing the juxtaposition of informal and formal settlement [15,16]. The informal settlements are prevalent to the extent that about half and three-quarters of all newly constructed houses in African cities have been developed in un-serviced and unplanned lands without having formal land administration and legal compliance, land use planning, construction permits, and transfer of ownership right [17,18,19,59,60]. For example, only 15% of the population in Tanzania is living in a well-serviced and well-planned formal settlement only [20,21].…”

Section: Introductionmentioning

confidence: 99%

The plight of urban settlements based on the proliferation of dichotomy in Tanzania

Uisso

Sevgen

Tanrıvermiş

2023

International Journal of Engineering and Geosciences

View full text Add to dashboard Cite

The observation of the juxtaposition of formal and informal urban settlements in the commonwealth and sub-Saharan developing countries is been trending as a common mundane phenomenon in emerging and fast-growing cities. In Dar es Salaam for example, one of the largest, high-density, and populous businesses cities in Tanzania; dichotomy of informal and formal land rights is ubiquitous in peri-urban areas and its urban vicinities where land evolves from village to urban. The dichotomy of urban settlements occurs when the public authorities do not satisfactorily provide public services which are customarily attributed to poor governance and policies formulated to guide market forces, urban management, and growth. Different strategies and approaches have been applied by the government for at least providing proper infrastructure; however, most of the approaches are not well successful and deliver the expected results following high cost of implementation. To understand the spatial dynamics of urban typology, population density and land cover maps of Dar es Salaam were used to comprehend the developmental characteristics of Dar es Salaam urban land transformation and change detection of built-up area. According to the analysis of the maps, rapid urbanization and dramatical growth in built-up area especially between 1990-2000 years were easily observed.

show abstract

Yeni nesil multispektral ve hiperspektral uydu görüntülerinin arazi örtüsü / arazi kullanımı sınıflandırma performanslarının karşılaştırılması: Sentinel-2 ve PRISMA Uydusu

Cited by 5 publications

References 31 publications

Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example

Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example

Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection

The plight of urban settlements based on the proliferation of dichotomy in Tanzania

Contact Info

Product

Resources

About