Landslide Susceptibility Assessment Of Remotely Sensed Imagery Using Frequency Ratio Approach At Mt. Arayat In Pampanga, Philippines
Mangalino,Vishnu Das B.
Landslide Susceptibility Assessment Of Remotely Sensed Imagery Using Frequency Ratio Approach At Mt. Arayat In Pampanga, Philippines [manuscript] / Vishnu Das B. Mangalino. - Magalang, Pampanga : Pampanga State Agricultural University, July 2022. - xiii, 97 leaves ; 28 cm. + 1 computer disc (4 3/4 in.)
The Philippines, one of the most vulnerable nations to natural disasters, is experiencing an increase in the frequency of landslides. After Indonesia, India, and China, the country is the fourth most vulnerable to landslides due to the threat that they provide up to 80% of its entire geographical area. In the last three decades, GIS and remote sensing techniques have become more and more popular for mapping landslide-prone terrain. GIS is a powerful tool for spatial analysis and is more successful in spatially assessing the distribution of landslides by overlaying maps related to factors impacting landslide incidence. The study was an exploratory-descriptive type of research. The goal of descriptive research is to correctly and methodically describe a population's or the situation's current state while using the exploratory method to generate fresh data from the existing data. The area of this study is Mount Arayat, an extinct stratovolcano and the only mountain in Pampanga. Dubbed as the roof of the province, it proudly stands in the middle of flat land bordered by the towns of Magalang and Arayat. The researcher collected the data from primary and secondary data. Secondary data are requested from different agencies, while the primary was gathered from the satellite images. Furthermore, landslide conditioning factor maps were first constructed. Presently, in total six parameters (slope angle, elevation, curvature, land cover, geology, and rainfall) has been selected for analyzing the spatial relationship of their frequency ratio values. The frequency ratio values were computed based on the generated landslide conditioning factors using Microsoft Excel. After computing the FR values, the prediction rate was computed in order to generate the Landslide Susceptibility Map and assess the location of the landslide susceptible areas around the study area. The result shows 12 barangays or areas are landslide susceptible around Mount Arayat: seven barangays in the municipality of Arayat and five barangays in the municipality of Magalang. The total land area that is susceptible to landslides is 44.786% or 51.500987 square kilometers. There are areas under Landslide Susceptibility where human settlements are located and established their houses. These areas which are prone to landslides can still be considered as residential areas if there's a way to minimize the landslide risk. The researcher found out that the areas that have No Susceptibility don't guarantee safety. Since Landslide Susceptibility Map was made, the researcher recommends that the LGU may consider starting the process of mitigating the risk of landslides.
Landslide Susceptibility Assessment Of Remotely Sensed Imagery Using Frequency Ratio Approach At Mt. Arayat In Pampanga, Philippines [manuscript] / Vishnu Das B. Mangalino. - Magalang, Pampanga : Pampanga State Agricultural University, July 2022. - xiii, 97 leaves ; 28 cm. + 1 computer disc (4 3/4 in.)
The Philippines, one of the most vulnerable nations to natural disasters, is experiencing an increase in the frequency of landslides. After Indonesia, India, and China, the country is the fourth most vulnerable to landslides due to the threat that they provide up to 80% of its entire geographical area. In the last three decades, GIS and remote sensing techniques have become more and more popular for mapping landslide-prone terrain. GIS is a powerful tool for spatial analysis and is more successful in spatially assessing the distribution of landslides by overlaying maps related to factors impacting landslide incidence. The study was an exploratory-descriptive type of research. The goal of descriptive research is to correctly and methodically describe a population's or the situation's current state while using the exploratory method to generate fresh data from the existing data. The area of this study is Mount Arayat, an extinct stratovolcano and the only mountain in Pampanga. Dubbed as the roof of the province, it proudly stands in the middle of flat land bordered by the towns of Magalang and Arayat. The researcher collected the data from primary and secondary data. Secondary data are requested from different agencies, while the primary was gathered from the satellite images. Furthermore, landslide conditioning factor maps were first constructed. Presently, in total six parameters (slope angle, elevation, curvature, land cover, geology, and rainfall) has been selected for analyzing the spatial relationship of their frequency ratio values. The frequency ratio values were computed based on the generated landslide conditioning factors using Microsoft Excel. After computing the FR values, the prediction rate was computed in order to generate the Landslide Susceptibility Map and assess the location of the landslide susceptible areas around the study area. The result shows 12 barangays or areas are landslide susceptible around Mount Arayat: seven barangays in the municipality of Arayat and five barangays in the municipality of Magalang. The total land area that is susceptible to landslides is 44.786% or 51.500987 square kilometers. There are areas under Landslide Susceptibility where human settlements are located and established their houses. These areas which are prone to landslides can still be considered as residential areas if there's a way to minimize the landslide risk. The researcher found out that the areas that have No Susceptibility don't guarantee safety. Since Landslide Susceptibility Map was made, the researcher recommends that the LGU may consider starting the process of mitigating the risk of landslides.