Remote Sensing in Mangroves II

• Andere auteurs: Giri, Chandra (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Research & information: general; Biology, life sciences; Forestry & related industries; mangrove; natural recovery; artificial neural network; Sentinel-2; transfer learning; change detection; coastal region; remote sensing; fragmentation; productivity; land cover change; mangrove ecosystem; random forest (RF); Google Earth Engine (GEE); Sentinel; synthetic aperture radar (SAR); optical; aerial roots; global sensitivity analysis; PAWN; canopy reflectance model; vegetation index (VI); mangroves; Landsat; mangrove forests; time series; Google Earth Engine; random forests; phenology; TIMESAT; climate; monitoring; Great Barrier Reef; Hainan Island; CLUE-S; spatio-temporal simulation; future change trends; mangrove species; spectrometer; spectral reflectance; WorldView-2; dendrogram; extent; mapping; sentinel-2; global mangrove watch; remote sensing-based monitoring; plantation; restoration; dieback; Bay of Bengal; Red River Delta; Vietnam; vegetation index; mangrove index; mangrove forest; mangrove above ground; biomass; carbon sink; bibliometric analysis; Sembilang National Park (Indonesia); machine learning; satellites images; geoprocessing; rehabilitation program of mangroves; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

Mangrove forests are in constant flux due to both natural and anthropogenic forces. The changing mangroves will have significant consequences to coastal communities. Observation and monitoring of the distribution and dynamics of mangroves is central to a wide range of scientific investigations condu...