Reprint
Remote Sensing in Mangroves
Edited by
July 2021
292 pages
- ISBN978-3-0365-0850-4 (Hardback)
- ISBN978-3-0365-0851-1 (PDF)
This book is a reprint of the Special Issue Remote Sensing in Mangroves that was published in
Engineering
Environmental & Earth Sciences
Summary
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
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
Landsat; estuary; protected area; land use; land cover; change detection; time series; Great Barrier Reef; Sentinel-2; ALOS-2 PALSAR-2; mangrove; above-ground biomass; extreme gradient boosting; Can Gio biosphere reserve; Vietnam; mangrove; LiDAR; random forest; GLAS; aboveground biomass; mangrove plantation; aboveground biomass estimation; optical images; SAR; DSM; vegetation index; color; RGB; accuracy assessment; transgression; mangrove development; mangrove plantation; machine learning; mangrove condition; classification; remote sensing; ecosystem; mangrove; random forest; Sentinel-2; upscaling; Worldview-2; Niger Delta Region; mangroves; land cover dynamics; intensity analysis; fragmentation; spectral-temporal metrics; land degradation; Landsat; ALOS PALSAR-2; JERS-1; GLCM; mangrove; Markov chain; cellular automata; data fusion; forest monitoring; Google Earth Engine; Landsat; mangrove forests; multi-temporal analysis; remote sensing; satellite earth observation; time series analysis; Vietnam; GEEMMM; mangroves; remote sensing; google earth engine; Myanmar; cloud computing; digital earth; GAMs; Generalized Additive Models; EVI; Landsat; mangrove forests; phenology; time series analysis; n/a