Ronald M. Makinano's research while affiliated with Caraga State University and other places

Publications (8)

Technical Report
Full-text available
The Phil-LiDAR 1.B.14 Project, or simply known as the "CSU Phil-LiDAR 1 Project" is a three-year project implemented in April 1, 2014 by the Caraga State University through the Caraga Center for Geo-informatics of the College of Engineering & Information Technology, in Ampayon, Butuan City, Mindanao, Philippines. It is one of several projects under...
Conference Paper
Full-text available
LiDAR DTMs produced by conventional LiDAR sensors and techniques cannot accurately represent terrain covered by water due to the incapability of the lasers emitted by the LiDAR sensor to penetrate water especially at high flow conditions. Intermediate steps are usually taken to integrate or merge river bed elevation/bathymetry data gathered from fi...
Conference Paper
Full-text available
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 (MSL) elevations of 274 ground control points revealed a Root Mean Square Error (RMSE) of 5.68 m, avera...
Article
Full-text available
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 Surigao del Sur in Mindanao, Philippines, an area which suffered great damage due to flooding caused...
Article
Full-text available
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 Surigao del Sur in Mindanao, Philippines, an area which suffered great damage due to flooding caused...
Article
Full-text available
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 municipality, in the province of Agusan del Norte, in Mindanao, Philippines, two significant flooding eve...
Article
Full-text available
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 municipality, in the province of Agusan del Norte, in Mindanao, Philippines, two significant flooding eve...
Conference Paper
Full-text available
In this paper, we present the methods and results for the assessment of flooding brought by two tropical storms in Tago river basin though integration of high resolution elevation datasets, satellite image analysis and numerical modeling. The datasets utilized in this paper include the 1-m spatial resolution LiDAR-derived Digital Terrain and Surfac...

Citations

... In the literature, studies assessing the vertical accuracy of AW3D30 generally report values of approximately 5 m. However, various research papers demonstrate a better performance with errors below 5 m [63,64]. ...
... The hydrologic models applied in this flood modeling and simulation studies are the HEC-HMS and HEC-RAS of the US Army Corps of Engineers. HEC-HMS was utilized to simulate the hydrologic processes while HEC-RAS was for the simulation of two-dimensional unsteady flow hydraulic analysis (Santillan and Makinano-Santillan, 2016). Both are open-source computer programs extensively utilized in modeling researches and studies involving hydrological processes (Divin and Mikita, 2016). ...
... Remote Sensing (RS) and Geographic Information System (GIS) have become effective geospatial tools for assessing hazards and risks associated with flood disasters (Manfré et al., 2012), most especially for the simulation of flood characteristics, and for the assessment of its social, economic and environmental consequences (Albano et al., 2015). These technologies have been used, either on their own or in a synergistic manner, to develop numerical flood simulation models that can aid in reconstructing past flood events for the purpose of mapping inundation levels and extents as well as to identify elements at risks (e.g., Amora et al., 2015;Makinano-Santillan et al., 2015;Santillan et al., 2016); in identifying flood-prone areas for the purpose of planning for disaster mitigation and preparedness (Asare-Kyei et al., 2015;Gashaw and Legesse, 2011;Pradhan, 2010;Samuel et al., 2014); and most especially in flood forecasting and early warning (Mioc et al., 2008;Sharif and Hashmi, 2006), among many other uses and applications. In these applications, RS has become an important source of data/information necessary to build flood models and conduct assessment of flood risks such as topography, land-cover, location of built-up areas and other elements that are at risk to flooding (e.g., roads, buildings, and bridges). ...
... RS and GIS are considered effective geospatial tools assisting in preparing the flood characteristic maps and their impacts on the environmental, social and economic aspects [15]. These geospatial tools have been extensively used to map the results of simulation models of past flood events such as flood inundation extents, flood levels and to identify the critical facilities at risk [16,17]. These tools also support developing the flood forecasting and early warning systems in flood-prone areas, which are helpful in flood hazard management and preparedness planning [18,19]. ...