Remote Sensing in Mangroves
Giri, Chandra
Remote Sensing in Mangroves - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (292 p.)
Open Access
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
Creative Commons
English
books978-3-0365-0851-1 9783036508504 9783036508511
10.3390/books978-3-0365-0851-1 doi
Technology: general issues
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 LiDAR random forest GLAS aboveground biomass mangrove plantation aboveground biomass estimation optical images SAR DSM vegetation index color RGB accuracy assessment transgression mangrove development machine learning mangrove condition classification remote sensing ecosystem upscaling Worldview-2 Niger Delta Region mangroves land cover dynamics intensity analysis fragmentation spectral-temporal metrics land degradation ALOS PALSAR-2 JERS-1 GLCM Markov chain cellular automata data fusion forest monitoring Google Earth Engine mangrove forests multi-temporal analysis satellite earth observation time series analysis GEEMMM google earth engine Myanmar cloud computing digital earth GAMs Generalized Additive Models EVI phenology n/a
Remote Sensing in Mangroves - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (292 p.)
Open Access
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
Creative Commons
English
books978-3-0365-0851-1 9783036508504 9783036508511
10.3390/books978-3-0365-0851-1 doi
Technology: general issues
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 LiDAR random forest GLAS aboveground biomass mangrove plantation aboveground biomass estimation optical images SAR DSM vegetation index color RGB accuracy assessment transgression mangrove development machine learning mangrove condition classification remote sensing ecosystem upscaling Worldview-2 Niger Delta Region mangroves land cover dynamics intensity analysis fragmentation spectral-temporal metrics land degradation ALOS PALSAR-2 JERS-1 GLCM Markov chain cellular automata data fusion forest monitoring Google Earth Engine mangrove forests multi-temporal analysis satellite earth observation time series analysis GEEMMM google earth engine Myanmar cloud computing digital earth GAMs Generalized Additive Models EVI phenology n/a