Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Valentin Poncos"'
Autor:
Meisam Amani, Brian Brisco, Rebecca Warren, Evan R. DeLancey, Seyd Teymoor Seydi, Valentin Poncos
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3469 (2022)
Wetlands are dynamic environments, the water and vegetation of which can change considerably over time. Thus, it is important to investigate the hydroperiod status of wetlands using advanced techniques such as remote sensing technology. Wetland hydro
Externí odkaz:
https://doaj.org/article/345dd0c8666544b5ac5670fc6a75d45b
Autor:
Brian Brisco, Yask Shelat, Kevin Murnaghan, Joshua Montgomery, Colleen Fuss, Ian Olthof, Chris Hopkinson, Alice Deschamps, Valentin Poncos
Publikováno v:
Canadian Journal of Remote Sensing, Vol 45, Iss 1, Pp 73-87 (2019)
A synthetic aperture radar (SAR) data set of the Peace Athabasca Delta, Alberta, was used to evaluate approaches to flooded vegetation mapping. A primary objective was to identify how to add a flooded vegetation layer to the Emergency Geomatics Servi
Externí odkaz:
https://doaj.org/article/1fd5daae1f9d4146b5ac4da9f5f13568
Autor:
Meisam Amani, Valentin Poncos, Brian Brisco, Fatemeh Foroughnia, Evan R. DeLancey, Sadegh Ranjbar
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3315 (2021)
Wetlands are valuable natural resources which provide numerous services to the environment. Many studies have demonstrated the potential of various types of remote sensing datasets and techniques for wetland mapping and change analysis. However, ther
Externí odkaz:
https://doaj.org/article/92b293a8162e41b6a80caee3fd9721e6
Autor:
Jiali Shang, Jiangui Liu, Valentin Poncos, Xiaoyuan Geng, Budong Qian, Qihao Chen, Taifeng Dong, Dan Macdonald, Tim Martin, John Kovacs, Dan Walters
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1551 (2020)
Synthetic aperture radar (SAR) is more sensitive to the dielectric properties and structure of the targets and less affected by weather conditions than optical sensors, making it more capable of detecting changes induced by management practices in ag
Externí odkaz:
https://doaj.org/article/865750e3b76b4cbdbfca96f32e89cd9a
T-SAR - A Bi-Static 3D Imaging C-Band Radar for Agriculture Applications – Concept and First Results
Autor:
Adrian-Septimiu Moldovan, Valentin Poncos, Stefan-Adrian Toma, Delia Teleagc, Florin Serban, Cristian Moise
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
R. Haagmans, Stefan-Adrian Toma, Mohamed Amine Boukhemacha, Ioan Bica, Irina Serpescu, Daniel Marcel Manoli, Delia Teleaga, M. S. Serbulea, Valentin Poncos
Publikováno v:
International Journal of Remote Sensing. 42:2641-2662
Monitoring land surface deformation is one of the most reliable approaches that can be used to study, manage and forecast several geohazards (such as subsidence, landslide, sinkholes, etc.) linked ...
Active rock glaciers (RG) are associated with mountain permafrost occurrence, and in the last years, remote sensing has been widely used to assess their dynamics. However, the use of remote sensing in determining the dynamics of slow-moving rock glac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f0f623b95fcb933575f22a6968a51b7
https://doi.org/10.5194/egusphere-egu22-7826
https://doi.org/10.5194/egusphere-egu22-7826
Publikováno v:
IGARSS
In this paper an analysis of the temporal profiles from the national ground motion map of Romania is presented. The map was built based on Sentinel-1 A/B synthetic aperture radar images acquired between 2015 – 2019, using the persistent scatterer t
Autor:
Ian Olthof, Colleen Fuss, Brian Brisco, Kevin Murnaghan, Joshua Montgomery, Valentin Poncos, Chris Hopkinson, Alice Deschamps, Yask Shelat
Publikováno v:
Canadian Journal of Remote Sensing. 45:73-87
A synthetic aperture radar (SAR) data set of the Peace Athabasca Delta, Alberta, was used to evaluate approaches to flooded vegetation mapping. A primary objective was to identify how to ad...
Autor:
Valentin Poncos, Budong Qian, Jiangui Liu, Timothy A. Martin, Dan Walters, Qihao Chen, Jiali Shang, John M. Kovacs, Dan MacDonald, Taifeng Dong, Xiaoyuan Geng
Publikováno v:
Remote Sensing
Volume 12
Issue 10
Pages: 1551
Remote Sensing, Vol 12, Iss 1551, p 1551 (2020)
Volume 12
Issue 10
Pages: 1551
Remote Sensing, Vol 12, Iss 1551, p 1551 (2020)
Synthetic aperture radar (SAR) is more sensitive to the dielectric properties and structure of the targets and less affected by weather conditions than optical sensors, making it more capable of detecting changes induced by management practices in ag