Reprint

Temporal Resolution, a Key Factor in Environmental Risk Assessment

Edited by
August 2024
272 pages
  • ISBN978-3-7258-1887-7 (Hardback)
  • ISBN978-3-7258-1888-4 (PDF)

This is a Reprint of the Special Issue Temporal Resolution, a Key Factor in Environmental Risk Assessment that was published in

Engineering
Environmental & Earth Sciences
Summary

The field of geomatics, which encompasses a range of techniques for the collection, analysis, and interpretation of spatial data, is undergoing a period of rapid growth. In recent years, spatial analysis tools have diversified and technologically advanced, allowing us to use satellite images with superior spatial, spectral, and temporal resolutions. High-quality satellite images with excellent temporal resolution have enabled scientists to evaluate the effects of droughts, hailstorms, hurricanes, tornadoes, floods, deforestation, forest fires, mining accidents, pollution, hazardous material accidents, land-use changes, social events, urbanization, wars, and more. Moreover, a consistent long-term database of satellite images has provided researchers the opportunity to analyze these phenomena historically, facilitating the evaluation of long-term changes in local natural parameters in relation to recent global environmental changes.The research published in this reprint investigates critical environmental phenomena, including ecological vulnerability (assessing ecosystems’ sensitivity to stressors), flood risk modeling, the analysis of urban development impacts, monitoring glacier shrinkage and associated hazards, evaluating arable land vulnerability to drought, identifying fire-affected regions, and understanding dynamics in coastal areas. The solutions developed here can be used in environmental management practices worldwide. In summary, geospatial technologies serve as powerful tools for unraveling the intricate dynamics of our planet, contributing to sustainable practices and informed decision-making across borders.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
time series data and projections; rapid evaluation of the extreme events impact on the environment and society; climate change; environmental risks; land use and land cover change; multispectral, hyperspectral and LiDAR data from a temporal perspective; ecosystems monitoring from RS data; history and heritage