Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Nastaran Saberi"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 49, Iss 1 (2023)
In this study, sea ice edge derived from three passive microwave (PM) algorithms, ARTIST sea ice (ASI), enhanced NASA Team 2 (NT2), and Bootstrap (BT), are compared to those derived from the daily Canadian Ice Service charts over a primarily seasonal
Externí odkaz:
https://doaj.org/article/2bd2349be27440e7815029674419bafe
Publikováno v:
International Journal of Digital Content Management, Vol 2, Iss 2, Pp 11-38 (2021)
Regarding to design an applicable electronic book reading system for children and adolescent, this study’s struggle is to prepare a conceptual model. We used quantitative approach and Delphi method in order to analyze data. In this regard, criterio
Externí odkaz:
https://doaj.org/article/17236929336040b99630572f25851d6e
Autor:
Nastaran Saberi Shahmarvandi, Fateme Shahrokh Ghahfarokhi, Zahra Delshad Chermahini, Atefeh Faramarzi, Alireza Raisi, Reza Alayi, Ahmad Tahmasebi
Publikováno v:
Journal of Engineering, Vol 2022 (2022)
Due to limited fossil fuel resources, population growth, and the need to save energy and prevent the emission of pollutants, solar heating is of great importance as a strategic solution. Due to these cases, in the present work, for the first time, th
Externí odkaz:
https://doaj.org/article/e9f09ae973fd461fb778b4ff00f759a2
Autor:
nastaran saberi, Ameneh Mafitabar
Publikováno v:
پیکره, Vol 8, Iss 17, Pp 40-61 (2019)
Throughout centuries, artistic creations have represented the culture and beliefs of every ethnic group, becoming inseparable from their art history. What remains from the Sasanian era is of special significance because of the political, religious an
Externí odkaz:
https://doaj.org/article/e0a1f8898d0149c7a236090f3a399df3
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 644 (2022)
With the increasing availability of SAR imagery in recent years, more research is being conducted using deep learning (DL) for the classification of ice and open water; however, ice and open water classification using conventional DL methods such as
Externí odkaz:
https://doaj.org/article/9f9ac0b5b69345bf926491a9043a8b59
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:1876-1889
Snow-depth retrieval from passive microwave observations without a priori information is a highly undetermined problem. Achieving accurate snow-depth retrievals requires a priori information on the snowpack properties, such as grain size, density, ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::352d9b71e25f7a41d30ead5a3d99dfb4
https://doi.org/10.1109/tgrs.2020.3004594
https://doi.org/10.1109/tgrs.2020.3004594
Autor:
Ameneh Mafitabar, Nastaran Saberi
Publikováno v:
Scientific Journal of Pazhuhesh-e Honar. 10:29-41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::845b00cea0590483cb4f7ba38dfdd4a8
https://doi.org/10.29252/aui.10.19.29
https://doi.org/10.29252/aui.10.19.29
Publikováno v:
Remote Sensing, Vol 9, Iss 12, p 1327 (2017)
The observed brightness temperatures (Tb) at 37 GHz from typical moderate density dry snow in mid-latitudes decreases with increasing snow water equivalent (SWE) due to volume scattering of the ground emissions by the overlying snow. At a certain poi
Externí odkaz:
https://doaj.org/article/abef7ce919e74424b33c74049d3d7d8c
Publikováno v:
International Journal of Remote Sensing. 41:996-1018
The physical properties of a snowpack strongly influence the emissions from the substratum, making snow property retrievals feasible by means of the surface brightness temperature observed by passi...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4640e895ba76295142c7e1e03116211
https://doi.org/10.1080/01431161.2019.1654144
https://doi.org/10.1080/01431161.2019.1654144
Publikováno v:
IGARSS
Moderate to high spatial resolution (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9de37c51776ecdada340eff75c407449
https://doi.org/10.1109/igarss.2019.8898525
https://doi.org/10.1109/igarss.2019.8898525