Remote Sensing of Above Ground Biomass

Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat c...

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Year of Publication:2019
Language:English
Physical Description:1 electronic resource (264 p.)
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(oapen)https://directory.doabooks.org/handle/20.500.12854/58170
(EXLCZ)994100000010106076
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spelling Mutanga, Onisimo auth
Remote Sensing of Above Ground Biomass
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (264 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.
English
NDLMA
multi-angle remote sensing
TerraSAR-X
above ground biomass
stem volume
regression analysis
ground-based remote sensing
sensor fusion
pasture biomass
grazing management
livestock
mixed forest
SPLSR
estimation accuracy
Bidirectional Reflectance Distribution Factor
forage crops
Land Surface Phenology
climate change
vegetation index
dry biomass
mapping
rangeland productivity
vegetation indices
error analysis
broadleaves
remote sensing
applicability evaluation
ultrasonic sensor
chlorophyll index
alpine meadow grassland
forest biomass
anthropogenic disturbance
fractional vegetation cover
alpine grassland conservation
carbon mitigation
conifer
short grass
grazing exclusion
MODIS time series
random forest
aboveground biomass
NDVI
AquaCrop model
inversion model
wetlands
field spectrometry
spectral index
yield
foliage projective cover
lidar
correlation coefficient
Sahel
biomass
dry matter index
Niger
Landsat
grass biomass
particle swarm optimization
winter wheat
carbon inventory
rice
forest structure information
MODIS
light detection and ranging (LiDAR)
ALOS2
ecological policies
above-ground biomass
Wambiana grazing trial
food security
forest above ground biomass (AGB)
Atriplex nummularia
regional sustainability
CIRed-edge
3-03921-209-5
Kumar, Lalit auth
language English
format eBook
author Mutanga, Onisimo
spellingShingle Mutanga, Onisimo
Remote Sensing of Above Ground Biomass
author_facet Mutanga, Onisimo
Kumar, Lalit
author_variant o m om
author2 Kumar, Lalit
author2_variant l k lk
author_sort Mutanga, Onisimo
title Remote Sensing of Above Ground Biomass
title_full Remote Sensing of Above Ground Biomass
title_fullStr Remote Sensing of Above Ground Biomass
title_full_unstemmed Remote Sensing of Above Ground Biomass
title_auth Remote Sensing of Above Ground Biomass
title_new Remote Sensing of Above Ground Biomass
title_sort remote sensing of above ground biomass
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (264 p.)
isbn 3-03921-210-9
3-03921-209-5
illustrated Not Illustrated
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carrierType_str_mv cr
is_hierarchy_title Remote Sensing of Above Ground Biomass
author2_original_writing_str_mv noLinkedField
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