A new method determining landslide risk area in Thailand by using Lidar and high resoulution aerial image for local disaster management : a case study of Ban Nam Ko village, Lom Sak district, Petchabun province
Issued Date
2012
Copyright Date
2012
Resource Type
Language
eng
File Type
application/pdf
No. of Pages/File Size
xiii, 118 leaves : ill. (some col.)
Access Rights
open access
Rights
ผลงานนี้เป็นลิขสิทธิ์ของมหาวิทยาลัยมหิดล ขอสงวนไว้สำหรับเพื่อการศึกษาเท่านั้น ต้องอ้างอิงแหล่งที่มา ห้ามดัดแปลงเนื้อหา และห้ามนำไปใช้เพื่อการค้า
Rights Holder(s)
Mahidol University
Bibliographic Citation
Thesis (M.Sc. (Technology of Environmental Management))--Mahidol University, 2012
Suggested Citation
Chanist Prasertburanakul A new method determining landslide risk area in Thailand by using Lidar and high resoulution aerial image for local disaster management : a case study of Ban Nam Ko village, Lom Sak district, Petchabun province. Thesis (M.Sc. (Technology of Environmental Management))--Mahidol University, 2012. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/95012
Title
A new method determining landslide risk area in Thailand by using Lidar and high resoulution aerial image for local disaster management : a case study of Ban Nam Ko village, Lom Sak district, Petchabun province
Alternative Title(s)
การกำหนดพื้นที่เสี่ยงภัยดินถล่มด้วยวิธีการใหม่ในประเทศไทยโดยใช้เทคโนโลยีไลดาร์และภาพถ่ายทางอากาศรายละเอียดสูง สำหรับการจัดการภัยพิบัติท้องถิ่น กรณีศึกษา บ้านน้ำก้อ อำเภอหล่มสัก จังหวัดเพชรบูรณ์
Author(s)
Advisor(s)
Abstract
The objective of this study was to implement a risk model producing a highly accurate, large scale landslide risk map based on the implement of the advanced technology of LiDAR and high resolution aerial digital images, for local disaster management. It was found that a landslide risk map supported by LiDAR and aerial digital images, integrated with a risk model by using information of vulnerability, triggering and physical factors in Ban Nam Ko Village Lom Sak District Petchabun Province. The results can be described as follows; Landslide risk zoning was determined to belong to 5 categories being; very high, high, moderate, low and very low risk level of 13.7 km2 (14.97%), 42.93 km2 (46.67%), 26.4 km2 (28.77%) ,6.2 km2 (6.84%) and 2.5(2.79%) of the study area respectively after merging the vulnerability data and element at risk information. The estimation of risk in each zone was carried out for the risk assessment. Landslide risk was assessed from the element at risk such as buildings, roads and socio information such as income and the number of people concerned. Thus, the LiDAR and high resolution aerial photographs provide benefits to derive more reliable information for the large scale risk map that will be applied by the disaster management of the local community in future.
Description
Technology of Environmental Management (Mahidol University 2012)
Degree Name
Master of Science
Degree Level
Master's degree
Degree Department
Faculty of Environment and Resource Studies
Degree Discipline
Technology of Environmental Management
Degree Grantor(s)
Mahidol University