Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Sahel Mahdavi"'
Publikováno v:
Big Earth Data, Pp 1-20 (2024)
The presence of fog in offshore regions poses significant hazards to navigation and aviation, making fog nowcasting indispensable for various industries, including oil and gas. This study presented a novel approach utilizing Recurrent Neural Networks
Externí odkaz:
https://doaj.org/article/21241b12695449a588c3617528007ebf
Autor:
Sahel Mahdavi, Meisam Amani, Saeid Parsian, Candace MacDonald, Michael Teasdale, Justin So, Fan Zhang, Mardi Gullage
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2654 (2024)
Marine ecosystems serve as vital indicators of biodiversity, providing habitats for diverse flora and fauna. Canada’s extensive coastal regions encompass a rich range of marine habitats, necessitating accurate mapping techniques utilizing advanced
Externí odkaz:
https://doaj.org/article/bde6f8beafe0408f86f266ec3a53b474
Autor:
Meisam Amani, Arsalan Ghorbanian, Milad Asgarimehr, Bahareh Yekkehkhany, Armin Moghimi, Shuanggen Jin, Amin Naboureh, Farzane Mohseni, Sahel Mahdavi, Nasir Layegh
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 210-234 (2022)
Reliable, accurate, and timely information about oceans is important for many applications, including water resource management, hydrological cycle monitoring, environmental studies, agricultural and ecosystem health applications, economy, and the ov
Externí odkaz:
https://doaj.org/article/edc33355655d44e996b48419821b181e
Autor:
Meisam Amani, Farzane Mohseni, Nasir Farsad Layegh, Mohsen Eslami Nazari, Farzam Fatolazadeh, Abbas Salehi, Seyed Ali Ahmadi, Hamid Ebrahimy, Arsalan Ghorbanian, Shuanggen Jin, Sahel Mahdavi, Armin Moghimi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1421-1453 (2022)
As discussed in the previous part of this review article, remote sensing (RS) creates unprecedented opportunities by providing a variety of systems with different characteristics to study and monitor oceans. Part 1 of this review article was dedicate
Externí odkaz:
https://doaj.org/article/92e7f5163b0b41bf9970e10c34df5040
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4135 (2023)
Progress toward habitat protection goals can effectively be performed using satellite imagery and machine-learning (ML) models at various spatial and temporal scales. In this regard, habitat types and landscape structures can be discriminated against
Externí odkaz:
https://doaj.org/article/fd0ad78bc7824d32aca114b2f693bd57
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1363-1373 (2021)
Fog is a hazardous weather event that can endanger navigation, aviation, and transportation. While human has several limitations in detecting and forecasting offshore fog, satellite remote sensing offers cost-effective images. In this study, a probab
Externí odkaz:
https://doaj.org/article/b2bf7820aac347bb96cbe10e94123f4d
Autor:
Meisam Amani, Brian Brisco, Sahel Mahdavi, Arsalan Ghorbanian, Armin Moghimi, Evan R. DeLancey, Michael Merchant, Raymond Jahncke, Lee Fedorchuk, Amy Mui, Thierry Fisette, Mohammad Kakooei, Seyed Ali Ahmadi, Brigitte Leblon, Armand LaRocque
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 32-52 (2021)
The first Canadian wetland inventory (CWI) map, which was based on Landsat data, was produced in 2019 using the Google Earth Engine (GEE) big data processing platform. The proposed GEE-based method to create the preliminary CWI map proved to be a cos
Externí odkaz:
https://doaj.org/article/42c8fff3e3e4427b9e06b26ff12dbf76
Autor:
Hamid Ebrahimy, Hossein Aghighi, Mohsen Azadbakht, Meisam Amani, Sahel Mahdavi, Ali Akbar Matkan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2103-2112 (2021)
MODIS land surface temperature (LST) product (MOD11A1) has been widely used in analysing spatiotemporal trends of LST. However, its applicability is limited, partially due to its coarse spatial resolution (i.e., 1 km). In this study, an Adaptive rand
Externí odkaz:
https://doaj.org/article/84dd03758ed1449e85b2e98fd87da359
Autor:
Meisam Amani, Sahel Mahdavi, Mohammad Kakooei, Arsalan Ghorbanian, Brian Brisco, Evan DeLancey, Souleymane Toure, Eugenio Landeiro Reyes
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10314-10335 (2021)
In this study, wetland trends in Alberta were investigated in the past four decades using Landsat satellite imagery to produce updated information about wetland changes and to prevent further degradation of these valuable natural resources. All the p
Externí odkaz:
https://doaj.org/article/eb99bd99e4d3412fbc714777dc79d6d5
Autor:
Meisam Amani, Arsalan Ghorbanian, Seyed Ali Ahmadi, Mohammad Kakooei, Armin Moghimi, S. Mohammad Mirmazloumi, Sayyed Hamed Alizadeh Moghaddam, Sahel Mahdavi, Masoud Ghahremanloo, Saeid Parsian, Qiusheng Wu, Brian Brisco
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5326-5350 (2020)
Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing and analyzing of which are not practical using common software packages and desktop computing resources. In this regard, Google has developed a cloud c
Externí odkaz:
https://doaj.org/article/c0dcc34f8a2844de9fa33ffbc72cb4de