TY - BOOK ID - 145670539 TI - Remote Sensing in Mangroves PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Technology: general issues KW - Landsat KW - estuary KW - protected area KW - land use KW - land cover KW - change detection KW - time series KW - Great Barrier Reef KW - Sentinel-2 KW - ALOS-2 PALSAR-2 KW - mangrove KW - above-ground biomass KW - extreme gradient boosting KW - Can Gio biosphere reserve KW - Vietnam KW - LiDAR KW - random forest KW - GLAS KW - aboveground biomass KW - mangrove plantation KW - aboveground biomass estimation KW - optical images KW - SAR KW - DSM KW - vegetation index KW - color KW - RGB KW - accuracy assessment KW - transgression KW - mangrove development KW - machine learning KW - mangrove condition KW - classification KW - remote sensing KW - ecosystem KW - upscaling KW - Worldview-2 KW - Niger Delta Region KW - mangroves KW - land cover dynamics KW - intensity analysis KW - fragmentation KW - spectral-temporal metrics KW - land degradation KW - ALOS PALSAR-2 KW - JERS-1 KW - GLCM KW - Markov chain KW - cellular automata KW - data fusion KW - forest monitoring KW - Google Earth Engine KW - mangrove forests KW - multi-temporal analysis KW - satellite earth observation KW - time series analysis KW - GEEMMM KW - google earth engine KW - Myanmar KW - cloud computing KW - digital earth KW - GAMs KW - Generalized Additive Models KW - EVI KW - phenology KW - Landsat KW - estuary KW - protected area KW - land use KW - land cover KW - change detection KW - time series KW - Great Barrier Reef KW - Sentinel-2 KW - ALOS-2 PALSAR-2 KW - mangrove KW - above-ground biomass KW - extreme gradient boosting KW - Can Gio biosphere reserve KW - Vietnam KW - LiDAR KW - random forest KW - GLAS KW - aboveground biomass KW - mangrove plantation KW - aboveground biomass estimation KW - optical images KW - SAR KW - DSM KW - vegetation index KW - color KW - RGB KW - accuracy assessment KW - transgression KW - mangrove development KW - machine learning KW - mangrove condition KW - classification KW - remote sensing KW - ecosystem KW - upscaling KW - Worldview-2 KW - Niger Delta Region KW - mangroves KW - land cover dynamics KW - intensity analysis KW - fragmentation KW - spectral-temporal metrics KW - land degradation KW - ALOS PALSAR-2 KW - JERS-1 KW - GLCM KW - Markov chain KW - cellular automata KW - data fusion KW - forest monitoring KW - Google Earth Engine KW - mangrove forests KW - multi-temporal analysis KW - satellite earth observation KW - time series analysis KW - GEEMMM KW - google earth engine KW - Myanmar KW - cloud computing KW - digital earth KW - GAMs KW - Generalized Additive Models KW - EVI KW - phenology UR - https://www.unicat.be/uniCat?func=search&query=sysid:145670539 AB - The book highlights recent advancements in the mapping and monitoring of mangrove forests using earth observation satellite data. New and historical satellite data and aerial photographs have been used to map the extent, change and bio-physical parameters, such as phenology and biomass. Research was conducted in different parts of the world. Knowledge and understanding gained from this book can be used for the sustainable management of mangrove forests of the world ER -