LEADER 08559nam 2202485z- 450 001 9910346664203321 005 20231214133521.0 035 $a(CKB)4920000000095025 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40343 035 $a(EXLCZ)994920000000095025 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li$hVolume 1 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (404 p.) 311 $a3-03897-270-3 330 $aQuantitative 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. 610 $agross primary production (GPP) 610 $ainterference filter 610 $aVisible Infrared Imaging Radiometer Suite (VIIRS) 610 $acost-efficient 610 $aprecipitation 610 $atopographic effects 610 $aland surface temperature 610 $aLand surface emissivity 610 $ascale effects 610 $aspatial-temporal variations 610 $astatistics methods 610 $ainter-annual variation 610 $aspatial representativeness 610 $aFY-3C/MERSI 610 $asunphotometer 610 $aPROSPECT 610 $apassive microwave 610 $aflux measurements 610 $aurban scale 610 $avegetation dust-retention 610 $amultiple ecological factors 610 $aleaf age 610 $astandard error of the mean 610 $aLUT method 610 $aspectra 610 $aSURFRAD 610 $aLand surface temperature 610 $aaboveground biomass 610 $auncertainty 610 $aland surface variables 610 $acopper 610 $aNortheast China 610 $aforest disturbance 610 $aend of growing season (EOS) 610 $arandom forest model 610 $aprobability density function 610 $adownward shortwave radiation 610 $amachine learning 610 $aMODIS products 610 $acomposite slope 610 $adaily average value 610 $acanopy reflectance 610 $aspatiotemporal representative 610 $alight use efficiency 610 $ahybrid method 610 $adisturbance index 610 $aquantitative remote sensing inversion 610 $aSCOPE 610 $aGPP 610 $aSouth China's 610 $aanisotropic reflectance 610 $avertical structure 610 $asnow cover 610 $aland cover change 610 $astart of growing season (SOS) 610 $aMS-PT algorithm 610 $aaerosol 610 $apixel unmixing 610 $aHiWATER 610 $aalgorithmic assessment 610 $asurface radiation budget 610 $alatitudinal pattern 610 $aICESat GLAS 610 $avegetation phenology 610 $aSIF 610 $ametric comparison 610 $aAntarctica 610 $aspatial heterogeneity 610 $acomprehensive field experiment 610 $areflectance model 610 $asinusoidal method 610 $aNDVI 610 $aBRDF 610 $acloud fraction 610 $aNPP 610 $aVPM 610 $aChina 610 $adense forest 610 $avegetation remote sensing 610 $aCunninghamia 610 $ahigh resolution 610 $ageometric-optical model 610 $aphenology 610 $aLiDAR 610 $aZY-3 MUX 610 $apoint cloud 610 $amulti-scale validation 610 $aFraunhofer Line Discrimination (FLD) 610 $arice 610 $afractional vegetation cover (FVC) 610 $ainterpolation 610 $ahigh-resolution freeze/thaw 610 $adrought 610 $aSynthetic Aperture Radar (SAR) 610 $acontrolling factors 610 $asampling design 610 $adownscaling 610 $aChinese fir 610 $aMRT-based model 610 $aRADARSAT-2 610 $anorthern China 610 $aleaf area density 610 $apotential evapotranspiration 610 $ablack-sky albedo (BSA) 610 $adecision tree 610 $aCMA 610 $afluorescence quantum efficiency in dark-adapted conditions (FQE) 610 $asurface solar irradiance 610 $avalidation 610 $ageographical detector model 610 $avertical vegetation stratification 610 $aspatiotemporal distribution and variation 610 $agap fraction 610 $aphenological parameters 610 $aspatio-temporal 610 $aalbedometer 610 $avariability 610 $aGLASS 610 $agross primary productivity (GPP) 610 $aEVI2 610 $amachine learning algorithms 610 $alatent heat 610 $aGLASS LAI time series 610 $aboreal forest 610 $aleaf 610 $amaize 610 $aheterogeneity 610 $atemperature profiles 610 $acrop-growing regions 610 $asatellite observations 610 $arugged terrain 610 $aspecies richness 610 $avoxel 610 $aLAI 610 $aTMI data 610 $aGF-1 WFV 610 $aspectral 610 $aHJ-1 CCD 610 $aleaf area index 610 $aevapotranspiration 610 $aland-surface temperature products (LSTs) 610 $aSPI 610 $aAVHRR 610 $aTibetan Plateau 610 $asnow-free albedo 610 $aPROSPECT-5B+SAILH (PROSAIL) model 610 $aMCD43A3 C6 610 $a3D reconstruction 610 $aphotoelectric detector 610 $amulti-data set 610 $aBEPS 610 $aaerosol retrieval 610 $aplant functional type 610 $amultisource data fusion 610 $aremote sensing 610 $aleaf spectral properties 610 $asolo slope 610 $aland surface albedo 610 $alongwave upwelling radiation (LWUP) 610 $aterrestrial LiDAR 610 $aAMSR2 610 $ageometric optical radiative transfer (GORT) model 610 $aMuSyQ-GPP algorithm 610 $atree canopy 610 $aFY-3C/MWRI 610 $ameteorological factors 610 $asolar-induced chlorophyll fluorescence 610 $ametric integration 610 $aobservations 610 $apolar orbiting satellite 610 $aarid/semiarid 610 $ahomogeneous and pure pixel filter 610 $athermal radiation directionality 610 $abiodiversity 610 $agradient boosting regression tree 610 $aforest canopy height 610 $aLandsat 610 $asubpixel information 610 $aMODIS 610 $ahumidity profiles 610 $aNIR 610 $ageostationary satellite 700 $aShi$b Jiancheng$4auth$01306126 702 $aLiang$b Shunlin$4auth 702 $aYan$b Guangjian$4auth 906 $aBOOK 912 $a9910346664203321 996 $aAdvances in Quantitative Remote Sensing in China ? In Memory of Prof. Xiaowen Li$93028292 997 $aUNINA