Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Aliihsan Sekertekin"'
Autor:
Fahime Arabi Aliabad, Hamidreza Ghafarian Malmiri, Alireza Sarsangi, Aliihsan Sekertekin, Ebrahim Ghaderpour
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4053 (2023)
In dry regions, gardens and trees within the urban space are of considerable significance. These gardens are facing harsh weather conditions and environmental stresses; on the other hand, due to the high value of land in urban areas, they are constan
Externí odkaz:
https://doaj.org/article/af32b1361ef8409386ecb978fdd956ea
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 7, p 407 (2022)
This study aims to extract water surface area and lake surface water temperature (LSWT), and to present long-term spatio-temporal analysis of these variables together with meteorological parameters. Three lakes in Türkiye’s Lakes Region, namely, L
Externí odkaz:
https://doaj.org/article/f36456ce073b4f11b0b039dbb6fe7a6b
Autor:
Aliihsan Sekertekin, Elaheh Zadbagher
Publikováno v:
Ecological Indicators, Vol 122, Iss , Pp 107230- (2021)
This study aims to simulate the future form of Land Surface Temperature (LST) distribution and Surface Urban Heat Island (SUHI) evaluation based on the impervious surface area. For this purpose, Landsat-5 and Landsat-8 satellite data acquired in 2006
Externí odkaz:
https://doaj.org/article/54864bc628524a46a22e6bb22578d7b8
Autor:
Aliihsan Sekertekin, Stefania Bonafoni
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2776 (2020)
Land Surface Temperature (LST) is a substantial element indicating the relationship between the atmosphere and the land. This study aims to examine the efficiency of different LST algorithms, namely, Single Channel Algorithm (SCA), Mono Window Algori
Externí odkaz:
https://doaj.org/article/507c4bb9971a46a0a2fd9fa8f593757e
Autor:
Aliihsan Sekertekin, Stefania Bonafoni
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 294 (2020)
Land Surface Temperature (LST) is an important parameter for many scientific disciplines since it affects the interaction between the land and the atmosphere. Many LST retrieval algorithms based on remotely sensed images have been introduced so far,
Externí odkaz:
https://doaj.org/article/a99bc521da534517b8fc8defbe5fbff9
Autor:
Rouhollah Nasirzadehdizaji, Fusun Balik Sanli, Saygin Abdikan, Ziyadin Cakir, Aliihsan Sekertekin, Mustafa Ustuner
Publikováno v:
Applied Sciences, Vol 9, Iss 4, p 655 (2019)
The Polarimetric Synthetic Aperture Radar technique has provided various opportunities and challenges in agricultural activities mainly on crop management. The aim of this study is to investigate the sensitivity of 10 parameters derived from multi-te
Externí odkaz:
https://doaj.org/article/88288fc382fd4a299a07b41d011a2d0e
Publikováno v:
Advances in Space Research. 71:3045-3059
Publikováno v:
Neural Computing and Applications.
Autor:
Serkan Kartal, Aliihsan Sekertekin
Publikováno v:
Environmental Science and Pollution Research. 29:67115-67134
Land surface temperature (LST) prediction is of great importance for climate change, ecology, environmental and industrial studies. These studies require accurate LST map predictions considering both spatial and temporal dynamics. In this study, mult
Publikováno v:
Advances in Space Research. 68:3531-3545
Earthquakes are among the major and destructive natural disasters on Earth. Thus, it is important to investigate whether the occurrence of earthquakes affects the behavior of atmospheric parameters. This study aims to examine the aerosol variations i