Remote Sensing in Mangroves

Remote Sensing in Mangroves

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...

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Bibliographic Details
Other Authors: Giri, Chandra (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
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
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Description
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
Physical Description:1 electronic resource (292 p.)
ISBN:books978-3-0365-0851-1
9783036508504
9783036508511
Access:Open Access

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