Titlebook: Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management; Vijay P. Singh,Shalini Yadav,Ram Narayan Y

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Irksome

https://doi.org/10.1007/b117253special emphasis on wetlands and herbaceous wetlands. Based on the driving factors and past LULC for the year 2007, 2014 and 2017, the future LULC for the year 2030 was predicted by Land Change Modeller (LCM) in TerrSet using Landsat 5 and Landsat 8 multispectral satellite imageries. Artificial neur

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Engin Ipek,Qing Guo,Xiaochen Guo,Yuxin Baiability area and 130 households with structural damage. The flood vulnerability index (FVI) is a powerful tool for a better understanding of community and building structures and to identify adaptations for vulnerability reduction. However, the FVI is limited by a number of factors that reduce its c

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A. J. G. Schoofs,J. J. M. Rijpkemae most vulnerable and heavily affected by the flood hazard viz. Gorakhpur, Shravasti, Maharajganj, Balrampur, Siddharthnagar, Deoria and Sant Kabir Nagar. Spatial intersection technique has been implemented in GIS to determine the stagnated flood water areas.

Engaging

Applications of Geospatial and Information Technologies Toward Achieving Sustainable Development GoNowadays, the integration of geospatial technologies along with information and communication technology (ICT) like the Internet of Things (IoT), big data, machine learning (ML), artificial intelligence (AI), advanced sensor networking, and crowdsourcing has made a powerful analytic platform for Spa