05043nam a22006135i 4500 978-3-031-62442-1 DE-He213 20251030112941.0 cr nn 008mamaa 240906s2024 sz | s |||| 0|eng d 9783031624421 978-3-031-62442-1 10.1007/978-3-031-62442-1 doi GB3-5030 RGB bicssc SCI030000 bisacsh RGB thema Environmental Risk and Resilience in the Changing World [electronic resource] : Integrated Geospatial AI and Multidimensional Approach / edited by Swapan Talukdar, Atiqur Rahman, Somnath Bera, G. V. Ramana, Atish Prashar. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIV, 318 p. 117 illus., 103 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda GIScience and Geo-environmental Modelling, 2730-7514 A changing environmental landscape -- Impact of environmental risk on society -- Integrated risk mitigation and resilience measures. This book provides huge knowledge and data in the fields of geospatial sciences, earth environmental sciences, humanities, and social sciences, which target a diverse range of readers, such as academics, scientists, students, environmentalists, meteorologists, urban planners, remote sensing, and GIS experts. Earth environment (ecological envelope of geosphere, biosphere, hydrosphere, atmosphere and cryosphere) faces a significant challenge from different risks and threats due to due to rapid changes in global land use, population increase and pollution. They might drastically impair the ecosystem's ability to maintain long-term service levels while bolstering the economic, social, and environmental pillars of sustainable development. Therefore, risk assessment (RA) has lately become a prominent research topic and a powerful mechanism for enforcing legal activities-related environmental restoration and health improvements to do sustainable development. The United States Environmental Protection Agency (USEPA) first used the risk assessment approach in 1980, and since then, it has expanded and become standard practice in many areas of ecological research. Some practices are air quality assessment, land degradation assessment, natural hazards risk assessment, urban surface ecological health condition, wetland and forest health assessment and drinking water quality assessment. However, recently risk assessment alone is not sufficient to propose any sustainable management plans. Also, there is no universal strategy for conducting risk assessments, and insufficient expertise with the methodology may result in erroneous findings. Therefore, scientists are increasingly interested in developing resilience strategies with AI and geospatial-based risk assessment to lower environmental risk. Different resilience approaches make different assumptions about the system dynamics involved in resilience-based environmental risk and impact assessment. Therefore, this book seeks to showcase the most current advances in risk and hazards assessment of environments with resilience strategies to mitigate the prevailing environmental issues with the help of remote sensing, GIS, artificial intelligence, and state-of-the-art frameworks like PSR, VIOR, nature-based solutions. . Physical geography. 66716 Geographic information systems. 61967 Environment. 65893 Environmental management. 59778 Physical Geography. 66716 Geographical Information System. 66422 Environmental Sciences. 61155 Environmental Management. 59778 Talukdar, Swapan. editor. edt http://id.loc.gov/vocabulary/relators/edt 81876 Rahman, Atiqur. editor. edt http://id.loc.gov/vocabulary/relators/edt 81761 Bera, Somnath. editor. edt http://id.loc.gov/vocabulary/relators/edt 83817 Ramana, G. V. editor. edt http://id.loc.gov/vocabulary/relators/edt 83818 Prashar, Atish. editor. edt http://id.loc.gov/vocabulary/relators/edt 83819 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031624414 Printed edition: 9783031624438 Printed edition: 9783031624445 GIScience and Geo-environmental Modelling, 2730-7514 80759 https://doi.org/10.1007/978-3-031-62442-1 ZDB-2-EES ZDB-2-SXEE 63158 63158