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  Citation Number 12
 Views 31
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Farklı Konumsal Çözünürlüğe Sahip Uydu Görüntüleri Kullanarak CORINE Arazi Örtüsü/Arazi Kullanım Sınıflarının Belirlenmesi
2020
Journal:  
Türkiye Tarımsal Araştırmalar Dergisi
Author:  
Abstract:

Arazi örtüsü/kullanımı sınıflarının mevcut konumsal dağılımlarının belirlenmesi ve süreç içerisinde meydana gelen değişimlerinin incelenmesi ekonomik ve sosyo-kültürel birçok alanda gerçekleştirilen çalışmalar için önemli bir temel oluşturmaktadır. Bu nedenle, arazi örtüsü/arazi kullanımı hakkındaki bilgilerin kendi içlerinde tutarlı olabilmesi için sistematik bir şekilde sınıflandırılması ve belli standartlarda üretilmesi gerekmektedir. Bu çalışma ile Samsun ili Vezirköprü (Türkiye) ilçesine ait 11251 hektar büyüklüğünde bir alanın ait Landsat 8, Sentinel 2 ve Triplesat uydu görüntülerinden CORINE arazi kullanım/arazi örtü sınıflamasının birinci ve ikinci düzeylerinde dağılım haritalarının oluşturulması ve yer gerçekleri ile karşılaştırmalarının yapılması amaçlanmıştır. Elde edilen sonuçlara göre, çalışma alanına ait tüm uydu görüntülerinde en yaygın dağılım gösteren sınıfın tarım alanları olduğu belirlenmiştir. Sınıflama hassaslığı bakımından Sentinel ve Triplesat uydu görüntülerine ait kappa değerleri (% 92.95 ve % 93.11) benzer hassasiyette oranlanırken, Landsat uydu görüntüsünde bu değerin % 83’e düştüğü belirlenmiştir. Ayrıca yaklaşık 34 yıllık süreç içerisinde gerek tarım alanlarından gerekse de orman alanlarından bir kısmı yapay alanlara kaydığı belirlenmiştir. Çalışma sonucu arazi örtüsü/kullanımının izlenmesinde elde edilen güvenilir sonuçlar ile uydu görüntülerinin geniş alanları, kısa zaman periyodlarında ve yüksek çözünürlüklü olarak gözlemleme kabiliyetlerinden faydalanılabileceği önerilmiştir.

Keywords:

Identification of the CORINE Land Interface/Land Use Classes using Satellite Images with Different Local Resolution
2020
Author:  
Abstract:

The determination of the existing local distribution of land cover/use classes and the study of the changes that occur during the process constitute an important basis for the work carried out in many economic and socio-cultural areas. Therefore, the information on land cover/land use must be systematically classified and produced according to certain standards in order to be consistent within them. This study aimed at creating the distribution maps in the first and second levels of the CORINE land use / land cover classification from Landsat 8, Sentinel 2 and Triplesat satellite images of an area of 11251 hectares belonging to the Samsun or Vezirköprü (Turkey) district and making comparisons with land facts. According to the results obtained, it has been determined that the most commonly distributed class in all the satellite images belonging to the work area are agricultural areas. In terms of classification sensitivity, the cappa values of Sentinel and Triplesat satellite images (% 92.95 and 93.11) are compared with similar sensitivity, while the Landsat satellite image has found that this value has fallen to 83% . In the course of about 34 years, some of the forest areas have been shifted into artificial areas. The results of the study have been suggested that the reliable results obtained in the monitoring of land cover/use and that the wide spaces of satellite images can be exploited in short periods of time and the ability to observe in high resolution.

Keywords:

Determination Of Corine Land Cover/land Use Classes Using Satellite Images With Different Spatial Resolution
2020
Author:  
Abstract:

Determining the current spatial distribution of land cover/use classes and examining the changes occurring in the process constitutes an important basis for studies conducted in many economic and socio-cultural areas. Therefore, for the information on land cover/land use to be consistent among themselves, it must be systematically classified and produced to certain standards. The aim of this study was aimed to produce distribution maps of the land use/land cover classes from Landsat 8, Sentinel 2, and Triplesat satellite images of an area of 11251 hectare in Samsun, Vezirköprü (Turkey) district and to compare them with the ground reality. According to the results obtained, it was determined that the most widely distributed class in all satellite images of the study area was the agricultural areas. In terms of classification accuracy, Kappa values (92.95% and 93.11%) of Sentinel and Triplesat satellite images were proportionally similar, while this value decreased to 83% in the Landsat satellite image. In addition, it has been determined that some of the agricultural and forest areas have shifted to artificial areas in a 34-year period. As a result of the study, it has been suggested that reliable results obtained in the monitoring of land cover/land use can benefit from the ability to observe large areas of satellite images in short periods and high resolution.

Keywords:

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Türkiye Tarımsal Araştırmalar Dergisi

Field :   Ziraat, Orman ve Su Ürünleri

Journal Type :   Uluslararası

Metrics
Article : 344
Cite : 1.510
2023 Impact : 0.286
Türkiye Tarımsal Araştırmalar Dergisi