Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zinat Gomeh"'
Autor:
Seyed Kazem Alavipanah, Mohammad Karimi Firozjaei, Amir Sedighi, Solmaz Fathololoumi, Saeid Zare Naghadehi, Samiraalsadat Saleh, Maryam Naghdizadegan, Zinat Gomeh, Jamal Jokar Arsanjani, Mohsen Makki, Salman Qureshi, Qihao Weng, Dagmar Haase, Biswajeet Pradhan, Asim Biswas, Peter M. Atkinson
Publikováno v:
Land, Vol 11, Iss 11, p 2025 (2022)
In remote sensing (RS), shadows play an important role, commonly affecting the quality of data recorded by remote sensors. It is, therefore, of the utmost importance to detect and model the shadow effect in RS data as well as the information that is
Externí odkaz:
https://doaj.org/article/5454627371224ca49209b41121c1894e
Autor:
Seyed Kazem Alavipanah, Mohammad Karimi Firozjaei, Amir Sedighi, Solmaz Fathololoumi, Saeid Zare Naghadehi, Samiraalsadat Saleh, Maryam Naghdizadegan, Zinat Gomeh, Jamal Jokar Arsanjani, Mohsen Makki, Salman Qureshi, Qihao Weng, Dagmar Haase, Biswajeet Pradhan, Asim Biswas, Peter M. Atkinson
Publikováno v:
Alavipanah, S K, Firozjaei, M K, Sedighi, A, Fathololoumi, S, Naghadehi, S Z, Saleh, S, Naghdizadegan, M, Gomeh, Z, Arsanjani, J J, Makki, M, Qureshi, S, Weng, Q, Haase, D, Pradhan, B, Biswas, A & Atkinson, P M 2022, ' The Shadow Effect on Surface Biophysical Variables Derived from Remote Sensing : A Review ', Land, vol. 11, no. 11, 2025 . https://doi.org/10.3390/land11112025
In remote sensing (RS), shadows play an important role, commonly affecting the quality of data recorded by remote sensors. It is, therefore, of the utmost importance to detect and model the shadow effect in RS data as well as the information that is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c51c0fa23658ffb285e4008efa3dfd31
https://vbn.aau.dk/ws/files/510737479/land_11_02025_v2.pdf
https://vbn.aau.dk/ws/files/510737479/land_11_02025_v2.pdf
Autor:
Najmeh Neysani Samany, Rahim Barzegar, Maryam Naghdizadegan Jahromi, Gianluigi Busico, Dario Tedesco, Zinat Gomeh, Mohammad Taghi Aalami, Nerantzis Kazakis, Micòl Mastrocicco
In this study, the modified SINTACS method, a rating-based groundwater vulnerability approach, was applied to data from the Campanian Plain, southern Italy, to identify groundwater vulnerable areas accurately. To mitigate the subjectivity of SINTACS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ba100502eb845571e7fb9cbb2fa253a
http://hdl.handle.net/11591/444736
http://hdl.handle.net/11591/444736