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Titlebook: Geoinformatics for Sustainable Development in Asian Cities; Sathaporn Monprapussorn,Zhaohui Lin,Parichat Wetch Conference proceedings 2020

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Conference proceedings 2020g the past and current global problems such as environmental degradation, urban pollution, climate change, agricultural management and epidemiology.The proceedings of the .International Conference on Geography and Geoinformatics for Sustainable Development 2018 (ICGGS 2018) .consist of a wide range
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2194-315X nd natural resources..Shows how to apply geoinformatics and This proceedings volume focuses on the importance and power of spatial thinking and planning, especially by applying geospatial technologies in solving the past and current global problems such as environmental degradation, urban pollution,
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Apply Deep Learning Techniques on Classification of Single-Band SAR Satellite Images,ng to solve the problems. Our framework is divided into three main parts consisting of preparing and the dataset, developing the classification model, and classifying our testing images. We experimented on four classes using ALOS 2 satellite images. Finally, the prediction model reached to 91% accur
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Detecting the Potential Roof for Green Rooftop Development Using Geospatial Techniques: A Case Studpment process by using Geographic Information System (GIS)-based model is applied for site suitability analysis. The criteria for potential green space on rooftop are defined in term of physical and economic aspects. The preliminary result of suitable green-rooftop development are identified and com
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2194-315X hreats in many sectors (such as water, ecosystem, agriculture and health). This includes a summary of how the key concepts of geospatial technologies could contribute to environmental sustainability and the Sus978-3-030-33902-9978-3-030-33900-5Series ISSN 2194-315X Series E-ISSN 2194-3168
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https://doi.org/10.1007/978-3-658-20071-8pment process by using Geographic Information System (GIS)-based model is applied for site suitability analysis. The criteria for potential green space on rooftop are defined in term of physical and economic aspects. The preliminary result of suitable green-rooftop development are identified and com
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https://doi.org/10.1007/978-3-642-48576-3he watershed are forest and orchard. After that, LULC were reclassified into 4 main classes for change detection, comprising of agricultural, forest, urban and built-up, and water bodies. The results showed LULC transformation mainly occur among agricultural land into the urban built-up area in the
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