08559nam 2202485z- 450 991034666420332120231214133521.0(CKB)4920000000095025(oapen)https://directory.doabooks.org/handle/20.500.12854/40343(EXLCZ)99492000000009502520202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen LiVolume 1MDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (404 p.)3-03897-270-3 Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.gross primary production (GPP)interference filterVisible Infrared Imaging Radiometer Suite (VIIRS)cost-efficientprecipitationtopographic effectsland surface temperatureLand surface emissivityscale effectsspatial-temporal variationsstatistics methodsinter-annual variationspatial representativenessFY-3C/MERSIsunphotometerPROSPECTpassive microwaveflux measurementsurban scalevegetation dust-retentionmultiple ecological factorsleaf agestandard error of the meanLUT methodspectraSURFRADLand surface temperatureaboveground biomassuncertaintyland surface variablescopperNortheast Chinaforest disturbanceend of growing season (EOS)random forest modelprobability density functiondownward shortwave radiationmachine learningMODIS productscomposite slopedaily average valuecanopy reflectancespatiotemporal representativelight use efficiencyhybrid methoddisturbance indexquantitative remote sensing inversionSCOPEGPPSouth China'sanisotropic reflectancevertical structuresnow coverland cover changestart of growing season (SOS)MS-PT algorithmaerosolpixel unmixingHiWATERalgorithmic assessmentsurface radiation budgetlatitudinal patternICESat GLASvegetation phenologySIFmetric comparisonAntarcticaspatial heterogeneitycomprehensive field experimentreflectance modelsinusoidal methodNDVIBRDFcloud fractionNPPVPMChinadense forestvegetation remote sensing<i>Cunninghamia</i>high resolutiongeometric-optical modelphenologyLiDARZY-3 MUXpoint cloudmulti-scale validationFraunhofer Line Discrimination (FLD)ricefractional vegetation cover (FVC)interpolationhigh-resolution freeze/thawdroughtSynthetic Aperture Radar (SAR)controlling factorssampling designdownscalingChinese firMRT-based modelRADARSAT-2northern Chinaleaf area densitypotential evapotranspirationblack-sky albedo (BSA)decision treeCMAfluorescence quantum efficiency in dark-adapted conditions (FQE)surface solar irradiancevalidationgeographical detector modelvertical vegetation stratificationspatiotemporal distribution and variationgap fractionphenological parametersspatio-temporalalbedometervariabilityGLASSgross primary productivity (GPP)EVI2machine learning algorithmslatent heatGLASS LAI time seriesboreal forestleafmaizeheterogeneitytemperature profilescrop-growing regionssatellite observationsrugged terrainspecies richnessvoxelLAITMI dataGF-1 WFVspectralHJ-1 CCDleaf area indexevapotranspirationland-surface temperature products (LSTs)SPIAVHRRTibetan Plateausnow-free albedoPROSPECT-5B+SAILH (PROSAIL) modelMCD43A3 C63D reconstructionphotoelectric detectormulti-data setBEPSaerosol retrievalplant functional typemultisource data fusionremote sensingleaf spectral propertiessolo slopeland surface albedolongwave upwelling radiation (LWUP)terrestrial LiDARAMSR2geometric optical radiative transfer (GORT) modelMuSyQ-GPP algorithmtree canopyFY-3C/MWRImeteorological factorssolar-induced chlorophyll fluorescencemetric integrationobservationspolar orbiting satellitearid/semiaridhomogeneous and pure pixel filterthermal radiation directionalitybiodiversitygradient boosting regression treeforest canopy heightLandsatsubpixel informationMODIShumidity profilesNIRgeostationary satelliteShi Jianchengauth1306126Liang ShunlinauthYan GuangjianauthBOOK9910346664203321Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li3028292UNINA