Feedback

X
Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring

Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring

0 Ungluers have Faved this Work
This Special Issue collates seven papers regarding the assessment or monitoring of hydrological disasters such as droughts and flood using remote sensing and geography information system (GIS) techniques.. The new published research focused on evaluations and models of various hydrological hazards such as droughts and floods. Furthermore, we include two original scientific articles addressing the subject of water quality. This Special Issue received investigations based on different techniques such as remote sensing, GIS, machine learning and monitoring. All papers present findings characterized as unconventional, provocative, innovative and methodologically new. Scientific findings presented in this Special Issue highlight how a combination of various modern analysis techniques (e.g., remote sensing, GIS) can improve our understanding of complex hydrological hazards such as droughts and floods. We hope that the research contained within this Special Issue is useful to the scientific community, policymakers and stakeholders at large in the field of hydrological hazards.

This book is included in DOAB.

Why read this book? Have your say.

You must be logged in to comment.

Rights Information

Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.

Downloads

This work has been downloaded 13 times via unglue.it ebook links.
  1. 13 - pdf (CC BY) at Unglue.it.

Keywords

  • Beijing
  • change trends in surface water quality
  • climatic conditions
  • cluster
  • correlation analysis
  • dimension reduction
  • drought
  • Environmental science, engineering & technology
  • error correction
  • extreme climate
  • feature extraction
  • flood forecasting
  • grâce
  • Heilongjiang Province
  • high dimension
  • History of engineering & technology
  • Linear Directional Mean (LDM)
  • Machine learning
  • Mainland China
  • manifold learning
  • monitoring history
  • n/a
  • peak runoff
  • rainfall intensity (RI)
  • rainfall movement direction (RMD)
  • rainstorm mode
  • residual property
  • ridge coefficient criterion
  • Shenzhen
  • spatial–temporal distribution of rainstorms
  • surface water
  • Technology, engineering, agriculture
  • Technology: general issues
  • urban floods
  • water environment quality
  • water quality protection
  • “Thirteenth Five-Year Plan” period

Links

DOI: 10.3390/books978-3-0365-7147-8

Editions

edition cover

Share

Copy/paste this into your site: