Titlebook: Applied Geography and Geoinformatics for Sustainable Development; Proceedings of ICGGS Wuttichai Boonpook,Zhaohui Lin,Parichat Wetchayont C

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Integration of Machine Learning Algorithms and Time-Series Satellite Images on Land Use/Land Cover 5.42% and kappa statistics reaches 0.82. Z-statistics confirm the potential of median composited datasets that provide significant performance (p-value <0.05). GEE reveals many advantages in geospatial analysis from this experiment. GEE is a robust cloud-serviced tool for LULC time-series image classification.

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Google Earth Engine Algorithm for Evaluating the Performance of Landsat OLI-8 and Sentinel-2 in Man the performance of Landsat OLI-8 and Sentinel-2 satellite imagery to map mangrove forest extents on the coast of the Trat province of Thailand. The results indicated that Sentinel-2 is visually and quantitatively preferable compared to Landsat OLI-8 when mapping mangrove forest extents with 88 percentage of accuracy.

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Applied Geography and Geoinformatics for Sustainable DevelopmentProceedings of ICGGS

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Influence of Hydrosphere Material Knowledge on the Attitude of High School Students in Conducting Wts in water conservation in Brebes Regency by 3.4%, with the value of t-count?>?t-table, that is, t-count by 3091?>?t-table .969. Based on the results of the data analysis, it can be concluded that 96.6% of students’ attitudes towards water conservation are influenced by other factors that are not s

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Optimizing Multi-reservoir Systems with the Aid of Genetic Algorithm: Mahanadi Reservoir Project Co vulnerability, and sustainability indices of the existing multi-reservoir system, namely, Ravishankar Sagar reservoir, Dudhawa, and Murrum Silli in Chhattisgarh, India. In addition, the overall performance of the existing reservoir is improved based on reliability by 35.66%, resilience by 40.54%, s

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