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

• Andere auteurs: Huang, Yaohuan (Redacteur), Liu, Yesen (Redacteur), Shi, Runhe (Redacteur), Ren, Hongyan (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Technology: general issues; History of engineering & technology; Environmental science, engineering & technology; GRACE; drought; mainland China; extreme climate; climatic conditions; urban floods; rainfall movement direction (RMD); rainfall intensity (RI); peak runoff; Linear Directional Mean (LDM); Shenzhen; flood forecasting; error correction; residual property; ridge coefficient criterion; rainstorm mode; high dimension; dimension reduction; cluster; surface water; monitoring history; change trends in surface water quality; water quality protection; "Thirteenth Five-Year Plan" period; water environment quality; Heilongjiang Province; correlation analysis; manifold learning; machine learning; spatial-temporal distribution of rainstorms; feature extraction; Beijing; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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 s...