Using drone mapping to support EEC development plan by analyze risky area and predict LULC at Sichang Island, Chonburi province, Thailand

Name: Suwatcharapong Surasanpreedee

LCSH: Burapha University.Faculty of Geoinformatics

Classification :.DDC: 526

LCSH: Drone aircraft

LCSH: Cartography

Abstract: Thailand is a country located in Southeast Asia. The Thai government wants to become the economic leader of ASEAN, so there is an economic development plan named EEC (Eastern Economic Corridor). Still, the Thai government is focusing only on the mainland. The researchers determined that there is still an area that is more outstanding than other islands in the sea, Sichang Island (located in Chonburi Province) has sufficient potential for development. One of the EEC policies will also be subject to spatial development too. This research study the knowledge of Geoinformatics, remote sensing, and aerial imagery from the drone are used to research to determine the potential of the development of the Sichang Island area. These include finding risky areas on the island[1] and predicting future LULC in the next 5,10,20 years (The numbers are related to the Thai National Strategic Plan)[2] by using aerial imagery from drones as a base. We obtained the results, has a village in the community in risky areas (flood and land-slides combined), and the prediction of the future LULC is the continuous expansion of urban-build up area. The study results for the risky areas (high level) were 179,503 square meters or 2.8655 % of the total area. Prediction of LULC changes in the next 5, 10, and 20 years tends to increase the number of residential areas, miscellaneous areas, decrease, forest areas slightly decrease, stable water areas. In the next 5 years, the residential area will increase by 90,258 square meters. The miscellaneous area is reduced to 47,570 square meters. The Forest area has decreased by 42,760 square meters. In the next 10 years, the residential area will increase by 100,899 square meters, and the miscellaneous area will decrease by 76,400 square meters. The reduced forest area is 24,580 square meters. In the next 20 years, the residential area will increase by 296,546 square meters. The miscellaneous area is reduced to 154,855 square meters. The forest area has decreased by 134,988 square meters. The main contents of this thesis include the base map from flying drones to create very high-resolution images, Classification of the risky levels. Remote sensing (RS), geographic information system (GIS), and the principles of Potential Surface Analysis (PSA) weights are calculated from the Analytic Hierarchy Process (AHP) by determining the factors involved in each type of disaster. Analyze to find risky areas, and the last one is Using the CA-MARKOV model to Predict LULC in Sichang Island in the years 2024,2029,2039.

Burapha University. Library

Address: CHONBURI

Email: buulibrary@buu.ac.th

Name: Zhenfeng Shao

Role: Principal advisor

Name: Kitsanai Charoenjit

Role: Co-advisor

Created: 2021

Modified: 2022-06-02

Issued: 2022-06-02

วิทยานิพนธ์/Thesis

application/pdf

CallNumber: Th 526 Su967U

eng

Spatial: ไทย (ภาคตะวันออก)

Spatial: ชลบุรี

DegreeName: Master of Science

Level: Master's Degree

Descipline: Geoinformatics

Grantor: Burapha University

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