The Using of Geoinformation Data From Small Unmanned Aerial Systems (sUAS) for Landslide Modeling Transport Routes in Nong Yai District and Bo Thong District of Chonburi Province

Abstract

           This qualitative research aimed to develop landslide modeling transport routes in Nong Yai and Bo Thong Districts, Chonburi Province.  The development of a landslide risk area model was divided into 5 steps: 1) exploring factors affecting landslide disaster; 2) determining Analytic Hierarchy Process (AHP) technique factors by using an assessment form for 5 experts; 3) applying geospatial data between the year 2021of Small Unmanned Aerial Systems (sUAS) survey data and Sentinel-2 image data of the year 2021; 4) applying geo-information technology in the analysis of landslide risk areas; and 5) proposing alternative landslide modeling transport routes in Nong Yai and Bo Thong Districts, Chonburi Province.
          Based on the application of geospatial data between the data obtained from Small Unmanned Aerial Systems (sUAS) survey the year 2021 and the image data from Sentinel-2 satellite imagery of the 2021, using geospatial technology to analyze landslide risk areas together with geographic data in the actual area that has experienced landslides in the past on transport routes in Nong Yai and Bo Thong Districts Chonburi Province, the findings revealed that the data obtained from Small Unmanned Aerial Vehicle System survey of the year 2021 can show reasonable spatial detail and positional accuracy. This is a development approach and an alternative to further develop landslide modeling and to be applied in other suitable areas.