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

Boonpook, Wuttichai

ISBN 10: 3031162188 / ISBN 13: 9783031162183

Published by Springer 2022-12, 2022

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Seller Inventory # 6666-IUK-9783031162183

Bibliographic Details

• Title: Applied Geography and Geoinformatics for Sustainable Development : Proceedings of ICGGS 2022
• Publisher: Springer 2022-12
• Publication Date: 2022
• Language: English
• ISBN 10: 3031162188
• ISBN 13: 9783031162183
• Binding: PF
• Condition: New

About this title

Synopsis

Chapter1. Flood Susceptibility Mapping Using a Frequency Ratio Model: A Case Study of Chai Nat Province, Thailand.- Chapter2. Influence of Hydrosphere Material Knowledge on the Attitude of High School Students in Conducting Water Conservation in Brebes Regency, Indonesia.- Chapter3. Optimizing multi-reservoir systems with the aid of genetic algorithm: Mahanadi reservoir project complex, Chhattisgarh.- Chapter4. Monitoring of Morphological Change in Lam Phachi River Using Geo-Informatics System.- Chapter5. Developing Scenario of Plastic Waste Leakage in Jakarta Hydrology Environment using Seasonal Data Condition and Socio-Economic Aspects.- Chapter6. Measurement of PM₁₀, PM_2.5, NO₂, and SO₂ Using Sensors.- Chapter7. Encoding Social Media Wording Indexes to Analyse PM_2.5 Problem Perception.- Chapter8. Noise mapping of different zones in an urban area during Deepawali festival.- Chapter9. Digital Twins in farming with the implementation of agricultural technologies.- Chapter10. A cross-comparison between Rice Crop Monitoring System: GISTDA and International Asian Harvest mOnitoring system for Rice (INAHOR): JAXA.- Chapter11. Evaluation MODIS and Sentinel-2 data for detecting crop residue burned area.- Chapter12. Machine Learning Approach with Environmental Pollution and Geospatial Information for Mapping Poverty in Thailand.- Chapter13. Integration of Machine Learning Algorithms and Time-series Satellite images on Land Use/Land Cover Mapping with Google Earth Engine.- Chapter14. Sugarcane and Cassava Classification using Machine Learning Approach based on Multi-temporal Remote Sensing Data Analysis.- Chapter15. Google Earth Engine algorithm for Evaluating the Performance of Landsat OLI-8 and Sentinel-2 in Mangrove Monitoring.- Chapter16. Estimation of Aboveground Biomass and Carbon Stock using Remote Sensing Data for Sakaerat Environmental Research Station, Thailand.- Chapter17. Determination of Land Suitability for Oil Palm with Multi-Dimension Decision Support using Analytic Network Process (ANP) in Southern Thailand.- Chapter18. Land use change and ecosystem service variations in Huai Luang River basin, Udon Thani province, Thailand.- Chapter19. The Ability to Access Attractions for the Elderly from Public Transport in Bangkok Metropolis.