Applied geography and geoinformatics for sustainable development : proceedings of ICGGS 2022 / Wuttichai Boonpook, Zhaohui Lin, Pakorn Meksangsouy, Parichat Wetchayont, editors.
International Conference of Geography and Geoinformatics for Sustainable Development (2nd : 2022 : Phuket, Thailand).; Boonpook, Wuttichai, editor.; Lin, Zhaohui, editor.; Meksangsouy, Pakorn, editor.; Wetchayont, Parichat, editor.
2023
HC79.E5
Available Online

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Title Applied geography and geoinformatics for sustainable development : proceedings of ICGGS 2022 / Wuttichai Boonpook, Zhaohui Lin, Pakorn Meksangsouy, Parichat Wetchayont, editors.
Meeting Name International Conference of Geography and Geoinformatics for Sustainable Development (2nd : 2022 : Phuket, Thailand).
ISBN 9783031162176 (electronic bk.)
303116217X (electronic bk.)
9783031162169
3031162161
DOI https://doi.org/10.1007/978-3-031-16217-6
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (vi, 260 pages) : illustrations (chiefly color).
Item Number 10.1007/978-3-031-16217-6 doi
Call Number HC79.E5
Dewey Decimal Classification 338.9/27
Summary 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.
Note International conference proceedings.
Includes index.
Bibliography, etc. Note References
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Boonpook, Wuttichai, editor.
Lin, Zhaohui, editor.
Meksangsouy, Pakorn, editor.
Wetchayont, Parichat, editor.
Series Springer geography.
Available in Other Form Applied geography and geoinformatics for sustainable development.
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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, PM2.5, NO2, and SO2 Using Sensors
Chapter7. Encoding Social Media Wording Indexes to Analyse PM2.5 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.

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