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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Main Authors: Mutanga, Onisimo, Kumar, Lalit
Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Online Access:42486
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author Mutanga, Onisimo
Kumar, Lalit
author_browse Kumar, Lalit
Mutanga, Onisimo
author_facet Mutanga, Onisimo
Kumar, Lalit
author_sort Mutanga, Onisimo
collection Directory of Open Access Books
description 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.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-581702024-04-11T15:10:36Z Remote Sensing of Above Ground Biomass Mutanga, Onisimo Kumar, Lalit TA1-2040 T1-995 TA170-171 NDLMA n/a 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-02-12T01:47:37Z 2021-02-12T01:47:37Z 2019-12-09 11:49:15 2019 book 42486 9783039212101 9783039212095 https://directory.doabooks.org/handle/20.500.12854/58170 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1500 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-210-1 10.3390/books978-3-03921-210-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039212101 9783039212095 264 open access
spellingShingle TA1-2040
T1-995
TA170-171
NDLMA
n/a
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Mutanga, Onisimo
Kumar, Lalit
Remote Sensing of Above Ground Biomass
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_short Remote Sensing of Above Ground Biomass
title_sort remote sensing of above ground biomass
topic TA1-2040
T1-995
TA170-171
NDLMA
n/a
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet TA1-2040
T1-995
TA170-171
NDLMA
n/a
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url 42486
work_keys_str_mv AT mutangaonisimo remotesensingofabovegroundbiomass
AT kumarlalit remotesensingofabovegroundbiomass