GI for Disaster Management

• Andere auteurs: Altan, Orhan (Redacteur), Tanzi, Tullio Joseph (Redacteur), Chandra, Madhu (Redacteur), Sunar, Filiz (Redacteur), Halounová, Lena (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Onderwerpen: Research & information: general; Environmental economics; mapping impact; tidal flood; hydrodynamic model; solar salt farming; drone; computer vision; point clouds; machine learning; CNN; GAN; first responder; RECONASS; INACHUS; multi-hazard; susceptibility mapping; developing urban settlements; landslide; flood; logistic regression; Mamdani fuzzy algorithm; M-AHP; cartographic symbols; map symbology; crisis map; comparative analysis; taxonomy; graphic design; availability; promulgation; sharing; standardisation; Black sea; sea level change; tide gauge; satellite altimetry; GNSS; post-fire management; forest regeneration; fire severity mapping; multispectral imagery; Sentinel-2A; unmanned aerial vehicles; Parrot SEQUOIA; climate change; fuzzy logic; GIS, household; Index method; sea level rise; vulnerability; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

Each year, disasters such as storms, floods, fires, volcanoes, earthquakes, and epidemics cause thousands of casualties and tremendous damage to property around the world, displacing tens of thousands of people from their homes and destroying their livelihoods. The majority of these casualties and p...