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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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 |
work_keys_str_mv |
AT mutangaonisimo remotesensingofabovegroundbiomass AT kumarlalit remotesensingofabovegroundbiomass |
status_str |
n |
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(CKB)4100000010106076 (oapen)https://directory.doabooks.org/handle/20.500.12854/58170 (EXLCZ)994100000010106076 |
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Remote Sensing of Above Ground Biomass |
author2_original_writing_str_mv |
noLinkedField |
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1796651914618732545 |
fullrecord |
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