2019
DOI: 10.21597/jist.419221
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Monitoring Water Surface Area and Land Cover Change by using Landsat Imagery for Aslantaş Dam Lake and Its Vicinity

Abstract: Sulak alan ekosistem planlamalarının izlenmesinde ve değerlendirilmesinde uydu görüntülerinden elde edilen vejetasyon indeksleri yaygın olarak kullanılmaktadır. Yüksek çözünürlüklü birçok uydu görüntüsü olmasına rağmen Landsat uydu verileri uzun dönemli arazi değişimlerinin izlenmesi ve değerlendirilmesinde önemli avantajlara sahiptir. Bu çalışma, Aslantaş baraj gölünün uydu görüntüsü yardımıyla haritalanması ve çalışma alanında meydana gelen arazi örtüsü zamansal değişiminin değerlendirilmesini kapsamaktadır.

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Cited by 6 publications
(1 citation statement)
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“…Sercan Gülci 1* , Kıvanç Yüksel 1 , Selçuk GÜMÜŞ 2 , Michael G. Wing 3 can be effectively used for forestry research (Küçük and Bilgili, 2006;Ateşoğlu, 2014;Akay and Şahin, 2019). In order to monitor and evaluate changes in large-scale forest ecosystems, a variety of remotely sensed data products are available that span multiple years (i.e., Landsat and Sentinel) (Gülci et al, 2019;Wulder et al, 2005). Today, the cloud computing environment eliminates the limitations of large-scale data processing and evaluation, providing a huge advantage in research with high processor capabilities (Nemani et al, 2011;Cavdaroglu, 2021;Konkathi and Shetty, 2021;Pan et al, 2021).…”
Section: Mapping Wildfires Using Sentinel 2 Msi and Landsat 8 Imagery: Spatial Data Generation For Forestrymentioning
confidence: 99%
“…Sercan Gülci 1* , Kıvanç Yüksel 1 , Selçuk GÜMÜŞ 2 , Michael G. Wing 3 can be effectively used for forestry research (Küçük and Bilgili, 2006;Ateşoğlu, 2014;Akay and Şahin, 2019). In order to monitor and evaluate changes in large-scale forest ecosystems, a variety of remotely sensed data products are available that span multiple years (i.e., Landsat and Sentinel) (Gülci et al, 2019;Wulder et al, 2005). Today, the cloud computing environment eliminates the limitations of large-scale data processing and evaluation, providing a huge advantage in research with high processor capabilities (Nemani et al, 2011;Cavdaroglu, 2021;Konkathi and Shetty, 2021;Pan et al, 2021).…”
Section: Mapping Wildfires Using Sentinel 2 Msi and Landsat 8 Imagery: Spatial Data Generation For Forestrymentioning
confidence: 99%