Zobrazeno 1 - 3
of 3
pro vyhledávání: '"R. M. Makinano"'
Autor:
M. Makinano-Santillan, J. R. Santillan, E. M. O. Morales, L. C. S. Asube, A. M. Amora, L. C. Cutamora, R. M. Makinano
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 109-115 (2016)
In this paper, we discuss how an academe-local government partnership can lead the way for the effective use of geospatial technologies for smarter and geospatially-informed decision making before, during, and after a flood disaster. In Jabonga muni
Externí odkaz:
https://doaj.org/article/73455a01a452457ebe6f8c3d7c597d7a
Autor:
J. R. Santillan, A. M. Amora, M. Makinano-Santillan, J. T. Marqueso, L. C. Cutamora, J. L. Serviano, R. M. Makinano
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 1271-1278 (2016)
In this paper, we present a combined geospatial and two dimensional (2D) flood modeling approach to assess the impacts of flooding due to extreme rainfall events. We developed and implemented this approach to the Tago River Basin in the province of
Externí odkaz:
https://doaj.org/article/c64c4719f8974ddfa359a0aaa779af2a
Publikováno v:
IGARSS
A quantitative assessment of vertical accuracy of the recently released ALOS World 3D - 30m (AW3D30) Digital Elevation Model (DEM) over northeastern Mindanao, Philippines is presented. A comparison of DEM-derived and field measured Mean Sea Level (MS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f5352865c9076200c6e3ae9dadeea5d
https://doi.org/10.1109/igarss.2016.7730400
https://doi.org/10.1109/igarss.2016.7730400