TY  - BOOK
AU  - Mutanga, Onisimo
AU  - Kumar, Lalit
AB  - 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.
DO  - 10.3390/books978-3-03921-210-1
ID  - OAPEN ID: 42486
KW  - NDLMA
KW  - n/a
KW  - multi-angle remote sensing
KW  - TerraSAR-X
KW  - above ground biomass
KW  - stem volume
KW  - regression analysis
KW  - ground-based remote sensing
KW  - sensor fusion
KW  - pasture biomass
KW  - grazing management
KW  - livestock
KW  - mixed forest
KW  - SPLSR
KW  - estimation accuracy
KW  - Bidirectional Reflectance Distribution Factor
KW  - forage crops
KW  - Land Surface Phenology
KW  - climate change
KW  - vegetation index
KW  - dry biomass
KW  - mapping
KW  - rangeland productivity
KW  - vegetation indices
KW  - error analysis
KW  - broadleaves
KW  - remote sensing
KW  - applicability evaluation
KW  - ultrasonic sensor
KW  - chlorophyll index
KW  - alpine meadow grassland
KW  - forest biomass
KW  - anthropogenic disturbance
KW  - fractional vegetation cover
KW  - alpine grassland conservation
KW  - carbon mitigation
KW  - conifer
KW  - short grass
KW  - grazing exclusion
KW  - MODIS time series
KW  - random forest
KW  - aboveground biomass
KW  - NDVI
KW  - AquaCrop model
KW  - inversion model
KW  - wetlands
KW  - field spectrometry
KW  - spectral index
KW  - yield
KW  - foliage projective cover
KW  - lidar
KW  - correlation coefficient
KW  - Sahel
KW  - biomass
KW  - dry matter index
KW  - Niger
KW  - Landsat
KW  - grass biomass
KW  - particle swarm optimization
KW  - winter wheat
KW  - carbon inventory
KW  - rice
KW  - forest structure information
KW  - MODIS
KW  - light detection and ranging (LiDAR)
KW  - ALOS2
KW  - ecological policies
KW  - above-ground biomass
KW  - Wambiana grazing trial
KW  - food security
KW  - forest above ground biomass (AGB)
KW  - Atriplex nummularia
KW  - regional sustainability
KW  - CIRed-edge
L1  - https://mdpi.com/books/pdfview/book/1500
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/58170
PB  - MDPI - Multidisciplinary Digital Publishing Institute
PY  - 2019
SN  - 9783039212101
SN  - 9783039212095
TI  - Remote Sensing of Above Ground Biomassnull
ER  - 
