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Geo-intelligence for sustainable dev...
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Singh, T. P.
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Geo-intelligence for sustainable development
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Geo-intelligence for sustainable development/ edited by T. P. Singh, Dharmaveer Singh, R. B. Singh.
其他作者:
Singh, T. P.
出版者:
Singapore :Springer Singapore : : 2021.,
面頁冊數:
xv, 227 p. :ill., digital ;24 cm.
內容註:
Geo-intelligence role in sustainable city missions of the global south: a review -- Cloud-based geospatial mapping and analysis of prayagraj kumbh mela of india: the unesco intangible cultural heritage -- Geo-intelligence-based approach for sustainable development of peri-urban areas: a case study of kozhikode city, kerala (india) -- Smart city: artificial intelligence in the city of the future -- Geo-intelligence for ecosystem services in poverty alleviation and food security -- Geo-intelligence for pandemic prevention and control -- Geo- intelligence in public health: a panoptical to covid -19 pandemic -- Use of remote sensing data to identify air pollution signatures in india -- Urban growth impact on cauvery river: a geospatial perspective -- Artificial neural network (ann) based predictions of bulk permittivity of co2-water-porous media system -- Long-term satellite data time series analysis for land degradation mapping to support sustainable land management in ukraine -- Modeling of the mass balance of glaciers with debris cover -- A geo-intelligence based approach to investigate temporal changes in the length and surface area and ice velocity of sakchum glacier.
Contained By:
Springer Nature eBook
標題:
Geoinformatics. -
電子資源:
https://doi.org/10.1007/978-981-16-4768-0
ISBN:
9789811647680
Geo-intelligence for sustainable development
Geo-intelligence for sustainable development
[electronic resource] /edited by T. P. Singh, Dharmaveer Singh, R. B. Singh. - Singapore :Springer Singapore :2021. - xv, 227 p. :ill., digital ;24 cm. - Advances in geographical and environmental sciences,2198-3550. - Advances in geographical and environmental sciences..
Geo-intelligence role in sustainable city missions of the global south: a review -- Cloud-based geospatial mapping and analysis of prayagraj kumbh mela of india: the unesco intangible cultural heritage -- Geo-intelligence-based approach for sustainable development of peri-urban areas: a case study of kozhikode city, kerala (india) -- Smart city: artificial intelligence in the city of the future -- Geo-intelligence for ecosystem services in poverty alleviation and food security -- Geo-intelligence for pandemic prevention and control -- Geo- intelligence in public health: a panoptical to covid -19 pandemic -- Use of remote sensing data to identify air pollution signatures in india -- Urban growth impact on cauvery river: a geospatial perspective -- Artificial neural network (ann) based predictions of bulk permittivity of co2-water-porous media system -- Long-term satellite data time series analysis for land degradation mapping to support sustainable land management in ukraine -- Modeling of the mass balance of glaciers with debris cover -- A geo-intelligence based approach to investigate temporal changes in the length and surface area and ice velocity of sakchum glacier.
Globally, concerns for the environment and human well-being have increased as results of threats imposed by climate change and disasters, environmental degradation, pollution of natural resources, water scarcity and proliferation of slums. Finding appropriate solutions to these threats and challenges is not simple, as these are generally complex and require state-of-the-art technology to collect, measure, handle and analyse large volumes of varying data sets. However, the recent advances in sensor technology, coupled with the rapid development of computational power, have greatly enhanced our abilities to capture, store and analyse the surrounding physical environment. This book explores diverse dimensions of geo-intelligence (GI) technology in developing a computing framework for location-based, data-integrating earth observation and predictive modelling to address these issues at all levels and scales. The book provides insight into the applications of GI technology in several fields of spatial and social sciences and attempts to bridge the gap between them.
ISBN: 9789811647680
Standard No.: 10.1007/978-981-16-4768-0doiSubjects--Topical Terms:
3216881
Geoinformatics.
LC Class. No.: GE196 / .G46 2021
Dewey Class. No.: 338.927
Geo-intelligence for sustainable development
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Geo-intelligence role in sustainable city missions of the global south: a review -- Cloud-based geospatial mapping and analysis of prayagraj kumbh mela of india: the unesco intangible cultural heritage -- Geo-intelligence-based approach for sustainable development of peri-urban areas: a case study of kozhikode city, kerala (india) -- Smart city: artificial intelligence in the city of the future -- Geo-intelligence for ecosystem services in poverty alleviation and food security -- Geo-intelligence for pandemic prevention and control -- Geo- intelligence in public health: a panoptical to covid -19 pandemic -- Use of remote sensing data to identify air pollution signatures in india -- Urban growth impact on cauvery river: a geospatial perspective -- Artificial neural network (ann) based predictions of bulk permittivity of co2-water-porous media system -- Long-term satellite data time series analysis for land degradation mapping to support sustainable land management in ukraine -- Modeling of the mass balance of glaciers with debris cover -- A geo-intelligence based approach to investigate temporal changes in the length and surface area and ice velocity of sakchum glacier.
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Globally, concerns for the environment and human well-being have increased as results of threats imposed by climate change and disasters, environmental degradation, pollution of natural resources, water scarcity and proliferation of slums. Finding appropriate solutions to these threats and challenges is not simple, as these are generally complex and require state-of-the-art technology to collect, measure, handle and analyse large volumes of varying data sets. However, the recent advances in sensor technology, coupled with the rapid development of computational power, have greatly enhanced our abilities to capture, store and analyse the surrounding physical environment. This book explores diverse dimensions of geo-intelligence (GI) technology in developing a computing framework for location-based, data-integrating earth observation and predictive modelling to address these issues at all levels and scales. The book provides insight into the applications of GI technology in several fields of spatial and social sciences and attempts to bridge the gap between them.
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