Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nagihan Aslan"'
Autor:
Nagihan Aslan, Dilek Koc-San
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 6, p 416 (2021)
The aims of this study were to determine surface urban heat island (SUHI) effects and to analyze the land use/land cover (LULC) and land surface temperature (LST) changes for 11 time periods from the years 2002 to 2020 using Landsat time series image
Externí odkaz:
https://doaj.org/article/8c9b1ddaeec4482082a5f9211eb6af2d
Autor:
Nagihan Aslan, Dilek Koc-San
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 299-304 (2021)
The world's average surface temperature has been increasing in recent decades. This situation is expected to affect aquatic systems and lakes are one of the most important aquatic systems. The main aims of this study are to examine Lake Surface Water
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c8fd5439305d341c808990d2a349a9
https://doi.org/10.5194/isprs-archives-xliii-b3-2021-299-2021
https://doi.org/10.5194/isprs-archives-xliii-b3-2021-299-2021
Autor:
Dilek Koc-San, Nagihan Aslan
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 657-662 (2020)
The objectives of this study are: to create land-use maps by 5-year interval from 1995 to 2015, to analyse the land use change and urban development, and to estimate future land-use pattern and urban growth for the years: 2030, 2045 and 2060. Antalya
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b1af307311d6c096f8f0732319b148
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/657/2020/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/657/2020/
Publikováno v:
Computers and Electronics in Agriculture. 150:289-301
Tree counts and sizes are important information to apply to crop yield estimation and agricultural planning. Therefore, obtaining automatic extraction of trees, their locations, diameters, and counts from remotely sensed data is a challenging task. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57caa1d89bf2d015aa94aa15cb455c19
https://doi.org/10.1016/j.compag.2018.05.001
https://doi.org/10.1016/j.compag.2018.05.001