04465nam 2201177z- 450 991036756700332120231214133029.03-03921-210-9(CKB)4100000010106076(oapen)https://directory.doabooks.org/handle/20.500.12854/58170(EXLCZ)99410000001010607620202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRemote Sensing of Above Ground BiomassMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (264 p.)3-03921-209-5 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.NDLMAmulti-angle remote sensingTerraSAR-Xabove ground biomassstem volumeregression analysisground-based remote sensingsensor fusionpasture biomassgrazing managementlivestockmixed forestSPLSRestimation accuracyBidirectional Reflectance Distribution Factorforage cropsLand Surface Phenologyclimate changevegetation indexdry biomassmappingrangeland productivityvegetation indiceserror analysisbroadleavesremote sensingapplicability evaluationultrasonic sensorchlorophyll indexalpine meadow grasslandforest biomassanthropogenic disturbancefractional vegetation coveralpine grassland conservationcarbon mitigationconifershort grassgrazing exclusionMODIS time seriesrandom forestaboveground biomassNDVIAquaCrop modelinversion modelwetlandsfield spectrometryspectral indexyieldfoliage projective coverlidarcorrelation coefficientSahelbiomassdry matter indexNigerLandsatgrass biomassparticle swarm optimizationwinter wheatcarbon inventoryriceforest structure informationMODISlight detection and ranging (LiDAR)ALOS2ecological policiesabove-ground biomassWambiana grazing trialfood securityforest above ground biomass (AGB)Atriplex nummulariaregional sustainabilityCIRed-edgeMutanga Onisimoauth1294178Kumar LalitauthBOOK9910367567003321Remote Sensing of Above Ground Biomass3023041UNINA