LEADER 06070nam 22007215 450 001 9910864190103321 005 20250521193205.0 010 $a9783031537639$b(electronic bk.) 010 $z9783031537622 024 7 $a10.1007/978-3-031-53763-9 035 $a(MiAaPQ)EBC31355634 035 $a(Au-PeEL)EBL31355634 035 $a(CKB)32166193200041 035 $a(DE-He213)978-3-031-53763-9 035 $a(OCoLC)1435950096 035 $a(EXLCZ)9932166193200041 100 $a20240527d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems /$fedited by Tanupriya Choudhury, Bappaditya Koley, Anindita Nath, Jung-Sup Um, Atul Kumar Patidar 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (318 pages) 225 1 $aAdvances in Geographic Information Science,$x1867-2442 311 08$aPrint version: Choudhury, Tanupriya Geo-Environmental Hazards Using AI-Enabled Geospatial Techniques and Earth Observation Systems Cham : Springer,c2024 9783031537622 327 $aChapter 1 An Introduction to Artificial Intelligence and its Applications towards Remote sensing -- Chapter 2 GIS and remote sensing application for vegetation mapping -- Chapter 3 Evaluation of Spatio-temporal Trend of Tropical Cyclones (TCs) in Bay of Bengal Basin, India -- Chapter 4 Application of geospatial technologies and AHP technique in the identification of soil erosion-prone zones in the Rift Valley, Southern Ethiopia -- Chapter 5 Shoreline changes along Bhitarkanika Sanctuary, North Odisha coast, India -- Chapter 6 One-dimensional shoreline evolution modeling at sea turtle nesting ground near Rushikulya estuary, Southern Odisha coast, India -- Chapter 7 Analysis of sea surface temperature and Chlorophyll-a concentration along the coastline of the Indian peninsula using remote sensing data -- Chapter 8 Landslide Susceptibility Mapping through Hyperparameter Optimized Bagging and Boosting Ensembles -- Chapter 9 Flash Floods Assessment in Hill Region -- Chapter 10 Mapping Flood Hazard in Marinduque, Philippines using Maximum Entropy Approach -- Chapter 11 GIS mapping and Groundwater Quality Assessment near solid waste dump site -- Chapter 12 Assessment of Groundwater Potential using an Integrated approach of GIS, Fuzzy AHP and Remote Sensing: A case study of Madurai City in India -- Chapter 13 Developing Sustainable Livelihood Index for the Coastal Belt of Indian Sunderbans -- Chapter 14 A Geo-Spatial approach for the development of sustainable watershed management -- Chapter 15 An Efficient Image Compression Algorithm using Neural Networks -- Chapter 16 Computer Vision based Autonomous Underwater Vehicle with Robotic Arm for Garbage Detection and Cleaning -- Chapter 17 Visual Media Super-Resolution Using Super Resolution Generative Adversarial Networks. 330 $aThis edited collection provides a comprehensive exploration of cutting-edge ideas, approaches, simulations, evaluations of risk, and systems that enhance the practicality of current geospatial technologies for reducing hazard risks. The various sections within this book delve into subjects such as the foundational principles of Earth Observation Systems (EOS) and geospatial methodologies. Additionally, the text serves as an advisory resource on the collaborative use of satellite-derived data and artificial intelligence to track and alleviate geo-environmental threats. The volume imparts extensive understanding regarding geo-environmental dangers and their analysis via EOS along with geospatial strategies. It encompasses key hazard-related themes including coastal degradation, predisposition to landslides, mapping vegetation coverages, tropical storm patterns, soil depletion due to erosion processes, vulnerability to rapid or extended flooding events, variations in ocean surface temperatures alongside chlorophyll-a levels; it also addresses assessments related to groundwater reserves and quality measures as well as sustainable management practices for watersheds that support community livelihoods?all through leveraging AI-integrated geospatial tools in conjunction with earth observation technologies. Furthermore, this work engages in discourse about systems designed for mitigating these ecological challenges sustainably. Scholars engaged in research activities; educational professionals; those involved in landscape design; engineers working at ground level; individuals responsible for policy-making?all who are concerned with geo-environmental hazards or associated domains?will find valuable insights within these pages. . 410 0$aAdvances in Geographic Information Science,$x1867-2442 606 $aGeography 606 $aGeographic information systems 606 $aArtificial intelligence 606 $aBig data 606 $aNatural disasters 606 $aGeography 606 $aGeographical Information System 606 $aArtificial Intelligence 606 $aBig Data 606 $aNatural Hazards 615 0$aGeography. 615 0$aGeographic information systems. 615 0$aArtificial intelligence. 615 0$aBig data. 615 0$aNatural disasters. 615 14$aGeography. 615 24$aGeographical Information System. 615 24$aArtificial Intelligence. 615 24$aBig Data. 615 24$aNatural Hazards. 676 $a910 700 $aChoudhury$b Tanupriya$01423894 701 $aKoley$b Bappaditya$01740974 701 $aNath$b Anindita$01740975 701 $aUm$b Jung-Sup$0871310 701 $aPatidar$b Atul Kumar$01740976 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910864190103321 996 $aGeo-Environmental Hazards Using AI-Enabled Geospatial Techniques and Earth Observation Systems$94166907 997 $aUNINA