Zobrazeno 1 - 5
of 5
pro vyhledávání: '"R. C. Hasan"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W9, Pp 181-188 (2018)
One of the most critical steps towards landslide risk analysis is the determination of element at risk. Element at risk describes any object that could potentially fail or exposed to hazards during disaster. Without quantification of element at risk
Externí odkaz:
https://doaj.org/article/0110008ed1d54d8fac0b5cd4248c1a40
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W9, Pp 237-242 (2018)
Measuring urban resilience is one of the important processes toward understanding the current and potential future risk of cities to guide the development of suitable policies and strategies related to climate and disaster resilience. Climate Disaste
Externí odkaz:
https://doaj.org/article/4db2652667484225b245d6191efc3afb
Autor:
S. A. Samsudin, R. C. Hasan
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W5, Pp 177-183 (2017)
Recently, there have been many debates to analyse backscatter data from multibeam echosounder system (MBES) for seafloor classifications. Among them, two common methods have been used lately for seafloor classification; (1) signal-based classificatio
Externí odkaz:
https://doaj.org/article/f77403438ecf4e779468245236a2b013
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W5, Pp 159-164 (2017)
Over the years, the acquisition technique of bathymetric data has evolved from a shipborne platform to airborne and presently, utilising space-borne acquisition. The extensive development of remote sensing technology has brought in the new revolution
Externí odkaz:
https://doaj.org/article/dcf2b7500f834abeb351321384abc4ec
Publikováno v:
2015 International Conference on Space Science and Communication (IconSpace).
Forest height estimation is very important in order to estimate biomass or volume of the tree. Various method and technique can be used to estimate the height. However, the accuracy is a main challenge to meet the requirement. Interferometry Syntheti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9a13e879405f0c66ba291c04006db2d
https://doi.org/10.1109/iconspace.2015.7283784
https://doi.org/10.1109/iconspace.2015.7283784