08646nam 2202533z- 450 991034666410332120210211(CKB)4920000000095026(oapen)https://directory.doabooks.org/handle/20.500.12854/40344(oapen)doab40344(EXLCZ)99492000000009502620202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen LiMDPI - Multidisciplinary Digital Publishing Institute20191 online resource (404 p.)3-03897-276-2 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.Geographybicssc<i>Cunninghamia</i>3D reconstructionaboveground biomassaerosolaerosol retrievalalbedometeralgorithmic assessmentAMSR2anisotropic reflectanceAntarcticaarid/semiaridAVHRRBEPSbiodiversityblack-sky albedo (BSA)boreal forestBRDFcanopy reflectanceChinaChinese fircloud fractionCMAcomposite slopecomprehensive field experimentcontrolling factorscoppercost-efficientcrop-growing regionsdaily average valuedecision treedense forestdisturbance indexdownscalingdownward shortwave radiationdroughtend of growing season (EOS)evapotranspirationEVI2fluorescence quantum efficiency in dark-adapted conditions (FQE)flux measurementsforest canopy heightforest disturbancefractional vegetation cover (FVC)Fraunhofer Line Discrimination (FLD)FY-3C/MERSIFY-3C/MWRIgap fractiongeographical detector modelgeometric optical radiative transfer (GORT) modelgeometric-optical modelgeostationary satelliteGF-1 WFVGLASSGLASS LAI time seriesGPPgradient boosting regression treegross primary production (GPP)gross primary productivity (GPP)heterogeneityhigh resolutionhigh-resolution freeze/thawHiWATERHJ-1 CCDhomogeneous and pure pixel filterhumidity profileshybrid methodICESat GLASinter-annual variationinterference filterinterpolationLAIland cover changeland surface albedoLand surface emissivityland surface temperatureLand surface temperatureland surface variablesland-surface temperature products (LSTs)Landsatlatent heatlatitudinal patternleafleaf ageleaf area densityleaf area indexleaf spectral propertiesLiDARlight use efficiencylongwave upwelling radiation (LWUP)LUT methodmachine learningmachine learning algorithmsmaizeMCD43A3 C6meteorological factorsmetric comparisonmetric integrationMODISMODIS productsMRT-based modelMS-PT algorithmmulti-data setmulti-scale validationmultiple ecological factorsmultisource data fusionMuSyQ-GPP algorithmn/aNDVINIRNortheast Chinanorthern ChinaNPPobservationspassive microwavephenological parametersphenologyphotoelectric detectorpixel unmixingplant functional typepoint cloudpolar orbiting satellitepotential evapotranspirationprecipitationprobability density functionPROSPECTPROSPECT-5B+SAILH (PROSAIL) modelquantitative remote sensing inversionRADARSAT-2random forest modelreflectance modelremote sensingricerugged terrainsampling designsatellite observationsscale effectsSCOPESIFsinusoidal methodsnow coversnow-free albedosolar-induced chlorophyll fluorescencesolo slopeSouth China'sspatial heterogeneityspatial representativenessspatial-temporal variationsspatio-temporalspatiotemporal distribution and variationspatiotemporal representativespecies richnessspectraspectralSPIstandard error of the meanstart of growing season (SOS)statistics methodssubpixel informationsunphotometersurface radiation budgetsurface solar irradianceSURFRADSynthetic Aperture Radar (SAR)temperature profilesterrestrial LiDARthermal radiation directionalityTibetan PlateauTMI datatopographic effectstree canopyuncertaintyurban scalevalidationvariabilityvegetation dust-retentionvegetation phenologyvegetation remote sensingvertical structurevertical vegetation stratificationVisible Infrared Imaging Radiometer Suite (VIIRS)voxelVPMZY-3 MUXGeographyShi Jianchengauth1306126Liang ShunlinauthYan GuangjianauthBOOK9910346664103321Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li3028292UNINA