| Nota di contenuto |
Intro -- 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.
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Antropocene o capitalocene? : scenari di ecologia-mondo nella crisi planetaria / Jason W. Moore ; introduzione e cura di Alessandro Barbero e Emanuele Leonardi
