Applied Geography and Geoinformatics for Sustainable Development: Proceedings of ICGGS 2022

Description

This volume presents the proceedings of the 2nd International Conference of Geography and Geoinformatics for Sustainable Development (ICGGS), held in Phuket, Thailand, April 7-8, 2022. The collection focuses on the importance of spatial thinking and planning by applying geography concepts and geospatial technology innovations in solving global problems such as environmental degradation, urban pollution, and climate change. The proceedings consist of case studies on wide-ranging spatial issues in developing countries, addressing challenges in mainstreaming sustainable development paradigms into their economies to improve natural resource and environmental management.     One of the main goals of the volume is to share and exchange different points of view regarding global, regional, and local spatial issues and how to use geography and geoinformatics for building resilience in multiple sectors, e.g., water, ecosystems, agriculture, and health. It offers the opportunity to learn about how geospatial concepts and technologies can contribute to environmental sustainability, while advancing education and research related to geography and geoinformatics. It will be a useful resource for students and researchers to initiate research ideas related to geospatial topics in regional and local scales. Contents Flood Susceptibility Mapping Using a Frequency Ratio Model: A Case Study of Chai Nat Province, Thailand 1 Introduction 2 Study Area 3 Methodology 3.1 Flood Inventory Map 3.2 Flood-Conditioning Factors 3.3 Frequency Ratio Method 3.4 Model Validation 4 Results and Discussion 5 Conclusion References Influence of Hydrosphere Material Knowledge on the Attitude of High School Students in Conducting Water Conservation in Brebes Regency, Indonesia 1 Introduction 2 Methods 2.1 Research Design 2.2 Sampling Techniques 2.3 Data Collection Techniques 2.4 Instrument Development 2.5 Data Analysis Techniques 3 Results and Discussion 3.1 Validity and Reliability 3.2 Classical Assumption Test 3.2.1 Normality Test 3.2.2 Linearity Test 3.2.3 Heteroscedasticity Test 3.3 Simple Linear Regression Analysis 4 Conclusion References Optimizing Multi-reservoir Systems with the Aid of Genetic Algorithm: Mahanadi Reservoir Project Complex, Chhattisgarh 1 Introduction 2 Study Area and Data Used 2.1 Data Used 3 Model Formulation 3.1 Fitness Function 3.2 Constraints 4 Methodology 4.1 Genetic Algorithm 4.2 Reservoir Performance Evaluations 4.2.1 Reliability 4.2.2 Resilience 4.2.3 Vulnerability 4.2.4 Sustainability Index 4.3 Model Performance Criteria 5 Results and Discussions 5.1 Sensitivity Analysis 5.2 Optimization Operation Policy 5.3 Performance Measures 6 Conclusions References Monitoring of Morphological Change in Lam Phachi River Using Geo-informatics System 1 Introduction 2 Study Area 3 Data and Method 3.1 Satellite Images 3.1.1 Thaichote Satellite 3.1.2 Sentinel-2A 3.2 River Extraction Method 3.2.1 Normalized Difference Water Index (NDWI) 3.2.2 Soil Adjusted Vegetation Index (SAVI) 3.2.3 Image Classification Method 3.3 Data Validation 4 Results and Discussion 4.1 Streamline Extraction 4.2 River Morphology 4.3 Riverbank Erosion and Deposition 5 Conclusion References Developing Scenario of Plastic Waste Leakage in the Jakarta Hydrology Environment Using Seasonal Data Conditions and Socioeconomic Aspects 1 Introduction 2 Data and Methods 2.1 Overall Methodology 2.2 Data Used in this Study 2.3 Phase 1: Leakage Source Analysis 2.4 Phase 2: Morphometric Analysis 2.5 Phase 3: Scenario Analysis 3 Results 3.1 Land-Based Input Leakage Modelling 3.2 Plastic Outflow into Waterbodies 3.3 Monthly Trends and Scenario Applied 4 Discussions 4.1 Plastic Material Pathway from Hydrological Response 4.2 Leakage Comparisons 5 Conclusions References Measurement of PM10, PM2.5, NO2, and SO2 Using Sensors 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Sensors Used in the Study 2.3 Methodology 3 Results and Discussion 4 Conclusions References Encoding Social Media Wording Indexes to Analyze PM2.5 Problem Perception 1 Introduction 2 Methodology and Data 3 Results 3.1 PM2.5 Database Based on Spatial Media Wording Index 3.2 Perceptions of PM2.5 Problem from Social Media Index and the Density of PM2.5 Mapping 3.3 Studying the Perception of PM2.5 Through Social Media 3.3.1 The PM2.5 Problem Situation 3.3.2 Causes and Effects of PM2.5 3.3.3 Problem Awareness 3.3.4 Solutions 3.3.5 Self-Protection 4 Conclusion and Discussion References Noise Mapping of Different Zones in an Urban Area During Deepawali Festival 1 Introduction 2 Methodology of the Study 2.1 Study Area 2.2 Methodology 3 Results and Discussions 4 Conclusion References Digital Twins in Farming with the Implementation of Agricultural Technologies 1 Introduction 2 Digital Twin 2.1 Digital Twin in Smart Farming: Early Stage of Development 2.2 Digital Twin Concept for Agriculture 2.3 Simulation Software and Applications for Digital Farming 2.4 Digital Twin for Sustainable Development Goals 3 A Case Study on Zero-Energy Farm Using Digital Twin Paradigm 4 Conclusion References A Cross-comparison Between Rice Crop Monitoring Systems: GISTDA and International Asian Harvest mOnitoring System for Rice (INAHOR): JAXA 1 Introduction 2 Objective 3 Thailand Rice Crop Monitoring System (TRMS): GISTDA 3.1 Rice Crop Monitoring from Optical Satellite Data 3.2 Rice Crop Monitoring from Active Satellite Data 3.3 Rice Crop Monitoring from Multi-resolution 4 JAXA’s INAHOR (International Asian Harvest mOnitoring System for Rice) 5 Cross-Comparison Between TRMS and INAHOR with OAE 6 Results 7 Conclusion and Discussions References Evaluation MODIS and Sentinel-2 Data for Detecting Crop Residue Burned Area 1 Introduction 2 Material and Methods 2.1 Study Area 2.2 Dataset 2.3 Methodology 2.3.1 Identification of Burned Area from MODIS 2.3.2 Identification of Burned Area from Sentinel-2 2.3.3 Identify Sugarcane Harvesting Period and Methods 3 Results 3.1 Identification of Burned Area from MODIS 3.2 Identification of Burned Area from Sentinel-2 3.3 Comparison of the Burned Area from MODIS and Sentinel-2 3.4 Sugarcane Residue Burning 3.5 Verification of Sentinel-2 Burned Area from Field Survey 3.6 Identify Sugarcane Harvesting Period and Harvest Methods 4 Discussion 5 Conclusions References Machine Learning Approach with Environmental Pollution and Geospatial Information for Mapping Poverty in Thailand 1 Introduction 2 Datasets 2.1 Poverty Data 2.2 Environmental Pollution 2.3 Road Density 3 Proposed Methodology 4 Experiment and Result 5 Discussion 6 Conclusion References Integration of Machine Learning Algorithms and Time-Series Satellite Images on Land Use/Land Cover Mapping with Google Earth Engine 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Acquisition and Preprocessing 2.3 Dataset Composition 2.4 Non-parametric Machine Learning Classifiers 2.5 Classification and Accuracy Assessment 3 Results and Discussion 3.1 Parameters of the Machine Learning Classifiers 3.2 Classification Results and Accuracies 3.3 Performance of the GEE Platform: Time-Series Data Analysis 4 Conclusion References Sugarcane and Cassava Classification Using Machine Learning Approach Based on Multi-temporal Remote Sensing Data Analysis 1 Introduction 2 Materials and Methods 2.1 Data Collection 2.2 Methodology 3 Results 3.1 Sugarcane and Cassava Phenological Characteristics 3.2 Optimal Approach for Sugarcane and Cassava Classification 3.3 The Result of Classification 4 Discussion 5 Conclusion and Recommendation References Google Earth Engine Algorithm for Evaluating the Performance of Landsat OLI-8 and Sentinel-2 in Mangrove Monitoring 1 Introduction 2 Study Area and Dataset 3 Methodology 3.1 Spectral Signature Analysis 3.1.1 Landsat OLI-8 vs Sentinel-2A 3.2 Training and Validation Data 3.3 Al-Based Classification 3.4 Post-classification Accuracy Assessment Result and Discussion 4 Result 4.1 Visual Interpretation 4.2 Accuracy Assessment 5 Concluding Remarks References Estimation of Aboveground Biomass and Carbon Stock Using Remote Sensing Data in Sakaerat Environmental Research Station, Thailand 1 Introduction 2 Methodology 2.1 Study Area 2.2 Field Data Survey 2.3 Satellite Data 2.4 Index Calculation 2.5 AGB Estimation in Study Plots 3 Findings 3.1 Regression Model 3.2 AGB and Carbon Stock in SERS 4 Discussion and Conclusion 4.1 NDVI as an Optimal Index in AGB Estimation 4.2 Limitation 4.3 Traditional and RS Method on AGB Comparison 4.4 Practical Implication References Determination of Land Suitability for Oil Palm with Multi-dimension Decision Support Using Analytic Network Process (ANP) in Southern Thailand 1 Introduction 1.1 Land Characteristics for Oil Palm 1.2 Land Suitability Analysis in GIS 2 Study Area 3 Methodology 3.1 Data Collection 3.2 Weight Score Analysis Using ANP 3.3 GIS Processing 4 Land Suitability Map for Oil Palm Plantation 4.1 Land Suitability Map for Oil Palm Using Annual Climate Data for Year 2020 4.2 Land Suitability Map for Oil Palm Using Average Annual Climate Data from 2016 to 2020 5 Conclusion and Discussion References Land Use Change and Ecosystem Service Variations in Huai Luang River Basin, Udon Thani Province, Thailand 1 Introduction 2 Methodology 3 Results and Discussion 3.1 Land Use Change Between 2017 and 2032 for BAU Scenario 3.2 Land Use Change Between 2017 and 2032 for ES Scenario 4 Discussion References The Ability to Access Attractions for the Elderly Using Public Transport in Bangkok Metropolis 1 Introduction 2 Methodology 2.1 Research Scopes 2.2 Field Survey 3 Findings 4 Discussion and Conclusion 4.1 The Ability to Access Tourist Attractions for the Elderly by Public Transport in Bangkok Metropolis 4.2 A Guideline to Prepare for the Elderly Society of Thailand References Index