Papers by Mehmet Özcan
Journal of the Indian Society of Remote Sensing, 2023
Climate change does not occur in the same way worldwide; its effects display regional differences... more Climate change does not occur in the same way worldwide; its effects display regional differences. Some regions with
unique characteristics may experience dramatic changes, leading to significant indications for the global climate. The
Siberian high, a system of high atmospheric pressure, is formed on the Central Siberian Plateau, affecting a significant part
of the northern hemisphere from November to February. Climate changes in this region have significant influences on the
global climate cycle. Hence, determining the temperature trends of this region will yield key indicators for climate change
studies. Remote sensing provides useful databases for climate change studies, surface temperatures, temporal and spatial
resolutions, and numerous advantages. In the present study, we aimed to determine the temporal and spatial surface
temperature trends of the Central Siberian Plateau. As our data source, we used MODIS (Aqua and Terra) satellite images
for 8 days between 2002- and 2021. The measurements from the region were arranged as monthly and annual values,
presented as mean, minimum, maximum, and standard deviation. Then, using these data, we obtained the mean values for
the region and performed Mann–Kendall trend analyses. Accordingly, there was an overall increase of more than 2 C in
the study area. We performed a pixel-based Mann–Kendall trend test to reveal the mean annual temperatures and detect
local changes. Our findings showed significant rises in temperature in the northern part of the study area.
Investigation of Spatiotemporal Changes in the Incidence of Traffic Accidents in Kahramanmaras¸, Turkey, Using GIS-Based Density Analysis, 2020
Owing to their social and economic consequences, the spatial densities of traffic accidents need ... more Owing to their social and economic consequences, the spatial densities of traffic accidents need to be investigated to solve and prevent related problems. In this study, we aim to determine the spatial densities of traffic accidents over the long term and identify the spatiotemporal changes in the high-density areas of Kahramanmaraş City. Initially, a spatial database of accident features and locations was prepared. Between 2008 and 2015, 14,317 traffic accidents were identified. The hotspot and kernel density estimation (KDE) methods, which were developed to determine the spatial densities in geographical information systems, are commonly used to successfully detect high traffic-accident-density areas. In this study, z scores determined by hotspot analysis were used as weight value for weighted KDE. These areas were obtained separately for each year, and an accident time series was created. The spatiotemporal changes to these areas occurring between 2008 and 2015 were determined. Traffic accidents increased in density at important intersection points of the city, and these areas changed over time during urban development. The results of this study are expected to be beneficial for determining priority areas for preventing traffic accidents in Kahramanmaraş.
Merkezi yönetimlerde Coğrafi Bilgi Sistemleri akademik anlamda araştırma konuları arasında hak et... more Merkezi yönetimlerde Coğrafi Bilgi Sistemleri akademik anlamda araştırma konuları arasında hak ettiği yeri bulamamıştır. Bu çalışma konuyla ilgili araştırmalar, çalışmalar, dersler ve kamu kurum ve kuruluşları için kaynak olması amacıyla yazılmıştır. Çalışmanın geliştirilmesi için olumlu eleştirilerin verilmesi bu konuda ciddi bir kaynak hazırlanması açısından faydalı olacaktır.
Conference Presentations by Mehmet Özcan
TAYMİR YARIMADASI’NIN MODİS VERİLERİNE GÖRE 2002-2021 YILLARI ARASI YÜZEY SICAKLIKLARI DEĞİŞİMLERİNİN VE BELİRSİZLİĞİNİN ANALİZİ, 2021
The average temperature of the world has increased by about 1.5 o C since 1850. This geographical... more The average temperature of the world has increased by about 1.5 o C since 1850. This geographical phenomenon, called global warming or climate change, has certain consequences for the ecosystem. Scientists from different disciplines have started to work on this subject, in the last 50 years. Thus, climate change has become a multidisciplinary field in terms of the causes and consequences. Therefore, different methods, perspectives and data collection tools related to climate change have been developed. Remote Sensing systems that was developed after the 1970s provide data in many areas such as plant health, land use, climate events and disasters. By using climate related Remote Sensing data, studies carried out for the specify climate events, climate characteristics, determination of temporal changes, climate analyzes and models on the local and global scale. One of these data is surface temperatures. Surface temperatures are an important parameter used in understanding climate change and/or global warming. With the effect of global warming, surface temperatures are also increasing. Unlike climate stations, surface temperature data is obtained as a continuous surface. Thus, data can be collected in places where climate stations are not available. According to the changes in surface temperatures, climate change presents regional differences in the world. While the warming on Earth varies between 1.5-2 o C on average, this difference can reach 4-5 o C in Polar Regions. With the effect of the increase in surface temperatures in permafrost (frozen soils) regions, problems such as the thawing of the soils
Uploads
Papers by Mehmet Özcan
unique characteristics may experience dramatic changes, leading to significant indications for the global climate. The
Siberian high, a system of high atmospheric pressure, is formed on the Central Siberian Plateau, affecting a significant part
of the northern hemisphere from November to February. Climate changes in this region have significant influences on the
global climate cycle. Hence, determining the temperature trends of this region will yield key indicators for climate change
studies. Remote sensing provides useful databases for climate change studies, surface temperatures, temporal and spatial
resolutions, and numerous advantages. In the present study, we aimed to determine the temporal and spatial surface
temperature trends of the Central Siberian Plateau. As our data source, we used MODIS (Aqua and Terra) satellite images
for 8 days between 2002- and 2021. The measurements from the region were arranged as monthly and annual values,
presented as mean, minimum, maximum, and standard deviation. Then, using these data, we obtained the mean values for
the region and performed Mann–Kendall trend analyses. Accordingly, there was an overall increase of more than 2 C in
the study area. We performed a pixel-based Mann–Kendall trend test to reveal the mean annual temperatures and detect
local changes. Our findings showed significant rises in temperature in the northern part of the study area.
Conference Presentations by Mehmet Özcan
unique characteristics may experience dramatic changes, leading to significant indications for the global climate. The
Siberian high, a system of high atmospheric pressure, is formed on the Central Siberian Plateau, affecting a significant part
of the northern hemisphere from November to February. Climate changes in this region have significant influences on the
global climate cycle. Hence, determining the temperature trends of this region will yield key indicators for climate change
studies. Remote sensing provides useful databases for climate change studies, surface temperatures, temporal and spatial
resolutions, and numerous advantages. In the present study, we aimed to determine the temporal and spatial surface
temperature trends of the Central Siberian Plateau. As our data source, we used MODIS (Aqua and Terra) satellite images
for 8 days between 2002- and 2021. The measurements from the region were arranged as monthly and annual values,
presented as mean, minimum, maximum, and standard deviation. Then, using these data, we obtained the mean values for
the region and performed Mann–Kendall trend analyses. Accordingly, there was an overall increase of more than 2 C in
the study area. We performed a pixel-based Mann–Kendall trend test to reveal the mean annual temperatures and detect
local changes. Our findings showed significant rises in temperature in the northern part of the study area.