Remote Sensing in Mangroves
Material type:
TextLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021Description: 1 online resource (292 p.)Content type: - text
- computer
- online resource
- 9783036508504
- 9783036508511
- books978-3-0365-0851-1
- Technology: general issues
- above-ground biomass
- aboveground biomass
- aboveground biomass estimation
- accuracy assessment
- ALOS PALSAR-2
- ALOS-2 PALSAR-2
- Can Gio biosphere reserve
- cellular automata
- change detection
- classification
- cloud computing
- color
- data fusion
- digital earth
- DSM
- ecosystem
- estuary
- EVI
- extreme gradient boosting
- forest monitoring
- fragmentation
- GAMs
- GEEMMM
- Generalized Additive Models
- GLAS
- GLCM
- google earth engine
- Google Earth Engine
- Great Barrier Reef
- intensity analysis
- JERS-1
- land cover
- land cover dynamics
- land degradation
- land use
- Landsat
- LiDAR
- machine learning
- mangrove
- mangrove condition
- mangrove development
- mangrove forests
- mangrove plantation
- mangroves
- Markov chain
- multi-temporal analysis
- Myanmar
- n/a
- Niger Delta Region
- optical images
- phenology
- protected area
- random forest
- remote sensing
- RGB
- SAR
- satellite earth observation
- Sentinel-2
- spectral-temporal metrics
- time series
- time series analysis
- transgression
- upscaling
- vegetation index
- Vietnam
- Worldview-2
Open Access Unrestricted online access star
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
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https://creativecommons.org/licenses/by/4.0/
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