Advanced Geospatial Intelligence and AI for Environmental Resilience and Sustainable Development

Using geospatial technologies and machine learning to map and mitigate urban heat islands and improve urban livability.- Urban expansion and thermal environment in a medium size city role of urban green and blue spaces in mitigating surface urban heat island intensity.- Identification of on road and roadside objects using random forest-based prediction model.- Analyzing the role of geospatial technologies and al in urban infrastructure planning and the development of smart cities, including transportation systems utilities, and public services.- Assessing the impact of night time light as proxy for climate change a geospatial approach in himachal pradesh.- Decadal study on supraglacial debris cover of kaer glacier eastern himalayas.- Sessing the impact of climate change on glaciers through region wise mass balance and ai tools contributing to our understanding of environmental changes in high mountain asia.- Climate change impacts on various ecosystems a geospatial and ai perspective.- Early identification and pathogenesis of leaf diseases in magnifera indica using transfer learning.- Examining the role of geospatial data and ai in conducting comprehensive forestry inventories and mapping to support sustainable forest management.- Prioritization of erosion prone watersheds of the song river basin using morphometric indices coupled with ahp-topsis and geospatial technology.- Application of geospatial technologies and ai to detect and analyze the shoreline change of Visakhapatnam a coastal district.- A systematic and structured review on groundwater contamination sources prevalence health risk and mitigation strategies in relation with land use land cover in bihar state of india.- A systematic and structured review on groundwater contamination, sources, prevalence health risk and mitigation strategies in relation with land use land cover in bihar state of india.- Examining the role of geospatial technologies and ai in disaster risk management and response including hazard mapping vulnerability assessment and real-time monitoring.- Gis based landslide susceptibility assessment for coonoor taluk nilgiris district south india tamil nadu using machine learning algorithm.- Forecasting drought from satellite imagery comparing stochastic classical machine learning and deep learning approaches.- Smart geospatial intelligence and ai for a resilient environment a review.- Uncovering air pollution risks in indian scenario with explainable ai a case study perspective.

• Erscheinungsdatum: 08.01.2026
• Autor/Autorin: Md. Omar Sarif
• Reihe: Earth and Environmental Science (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 49.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 452 Seiten
• ISBN: 9783032037145
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.