Skip to main content
SpringerLink
Log in

Remote Sensing Modelling and Parameter Inversion

  • Chapter
  • First Online:
The Geographical Sciences During 1986—2015

Part of the book series: Springer Geography ((SPRINGERGEOGR))

  • 1740 Accesses

Abstract

This chapter analyses the development of remote sensing modelling and inversion during the last 15 years, and evaluated the international impact of China based on the literatures. Then role of geography science in improving remote sensing modeling and inversion is introduced. The development of modeling and inversion of key parameters in land carbon cycle, hydrologic cycle, and energy balance as well as the contribution from Chinese scientists is elaborated in detail. Finally, the future trend of Chinese remote sensing modeling and inversion is discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Andreadis KM, Lettenmaier DP (2006) Assimilating remotely sensed snow observations into a macroscale hydrology model. Adv Water Resour 29(6):872–886

    Article  Google Scholar 

  • Antyufeev VS, Marshak AL (1990) Monte Carlo method and transport equation in plant canopies. Remote Sens Environ 31(3):183–191

    Article  Google Scholar 

  • Bacour C, Bréon FM (2005) Variability of biome reflectance directional signatures as seen by POLDER. Remote Sens Environ 98(1):80–95

    Article  Google Scholar 

  • Bateni SM, Liang S (2012) Estimating surface energy fluxes using a dual-source data assimilation approach adjoined to the heat diffusion equation. J Geophys Res Atmos 117(D17):D17118

    Article  Google Scholar 

  • Becker F, Li ZL (1990a) Towards a local split window method over land surfaces. Int J Remote Sens 11(3):369–393

    Article  Google Scholar 

  • Becker F, Li ZL (1990b) Temperature-independent spectral indices in thermal infrared bands. Remote Sens Environ 32(1):17–33

    Article  Google Scholar 

  • Becker F, Li ZL (1995) Surface temperature and emissivity at various scales: definition, measurement and related problems. Remote Sens Rev 12(3–4):225–253

    Article  Google Scholar 

  • Caparrini F, Castelli F, Entekhabi D (2004) Estimation of surface turbulent fluxes through assimilation of radiometric surface temperature sequences. J Hydrometeorol 5(1):145–159

    Article  Google Scholar 

  • Carlson T (2007) An overview of the “triangle method” for estimating surface evapotranspiration and soil moisture from satellite imagery. Sensors 7(8):1612–1629

    Article  Google Scholar 

  • Chang ATC, Foster JL, Hall DK (1987) Microwave snow signatures (1.5 mm to 3 cm) over Alaska. Cold Reg Sci Technol 13(2):153–160

    Article  Google Scholar 

  • Che T, Li X, Jin R, Huang CL (2014) Assimilating passive microwave remote sensing data into a land surface model to improve the estimation of snow depth. Remote Sens Environ 143:54–63

    Article  Google Scholar 

  • Chen JM, Leblanc SG (1997) A four-scale bidirectional reflectance model based on canopy architecture. IEEE Trans Geosci Remote Sens 1997 35(5):1316–1337

    Google Scholar 

  • Chen J, Chen WJ, Liu J, Cihlar J, Gray S (2000) Annual carbon balance of Canada’s forests during 1895–1996. Glob Biogeochem Cycles 14(3):839–849

    Article  Google Scholar 

  • Chen JM, Pavlic G, Brown L, Cihlar J, Leblanc SG, White HP, Hall RJ, Peddle DR, King DJ, Trofymow JA, Swift E, Van der Sanden J, Pellikka PKE (2002) Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements. Remote Sens Environ 80(1):165–184

    Article  Google Scholar 

  • Chen KS, Wu TD, Tsang L, Li Q, Shi J, Fung AK (2003) Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations. IEEE Trans Geosci Remote Sens 41(1):90–101

    Article  Google Scholar 

  • Chen LF, Li Z-L, Liu QH, Chen S, Tang Y, Zhong B (2004) Definition of component effective emissivity for heterogeneous and non-isothermal surfaces and its approximate calculation. Int J Remote Sens 25(1):231–244

    Article  Google Scholar 

  • Chen BZ, Chen JM, Mo G, Yuen CW, Margolis H, Higuchi K, Chan D (2007) Modeling and scaling coupled energy, water, and carbon fluxes based on remote sensing: an application to Canada’s landmass. J Hydrometeorol 8:123–143

    Article  Google Scholar 

  • Chen JM, Mo G, Pisek J, Liu J, Deng F, Ishizawa M, Chan D (2012) Effects of foliage clumping on the estimation of global terrestrial gross primary productivity. Glob Biogeochem Cycles 26(1):GB1019

    Google Scholar 

  • Crosson WL, Laymon CA, Inguva R, Schamschula MP (2002) Assimilating remote sensing data in a surface flux-soil moisture model. Hydrol Process 16(8):1645–1662

    Article  Google Scholar 

  • Dai YJ, Zeng XB, Dickinson RE, Baker I, Bonan GB, Bosilovich MG, Denning AS, Dirmeyer PA, Houser PR, Niu GY, Oleson KW, Schlosser CA, Yang ZL (2003) The common land model. Bull Am Meteorol Soc 84(8):1013–1023

    Article  Google Scholar 

  • Das NN, Entekhabi D, Njoku EG (2011) An algorithm for merging SMAP radiometer and radar data for high-resolution soil-moisture retrieval. IEEE Trans Geosci Remote Sens 49(5):1504–1512

    Article  Google Scholar 

  • Davidson MWJ, Toan TL, Mattia F, Satalino G, Manninen T (2000) Borgeaud M (2000) On the characterization of agricultural soil roughness for radar remote sensing studies. IEEE Trans Geosci Remote Sens 38(2):630–640

    Article  Google Scholar 

  • De Lannoy GJM, Houser PR, Pauwels VRN, Verhoest NEC (2007) State and bias estimation for soil moisture profiles by an ensemble Kalman filter: effect of assimilation depth and frequency. Water Resour Res 43(6):W06401

    Article  Google Scholar 

  • Demarty J, Chevallier F, Friend AD, Viovy N, Piao S, Ciais P (2007) Assimilation of global MODIS leaf area index retrievals within a terrestrial biosphere model. Geophys Res Lett 34(15):L15402

    Article  Google Scholar 

  • Dickinson RE, Henderson-Sellers A, Kennedy PJ, Wilson MF (1986) Biosphere-atmosphere transfer scheme (BATS) for the NCAR community climate model. National Center for Atmospheric Research, Colorado, Boulder

    Google Scholar 

  • Ding K-H, Xu XL, Tsang L (2010) Electromagnetic scattering by bicontinuous random microstructures with discrete permittivities. IEEE Trans Geosci Remote Sens 48(8):3139–3151

    Article  Google Scholar 

  • Du YM, Liu QH, Chen LF, Liu QA, Yu T (2007) Modeling directional brightness temperature of the winter wheat canopy at the ear stage. IEEE Trans Geosci Remote Sens 45(11):3721–3739

    Article  Google Scholar 

  • Durand M, Margulis SA (2006) Feasibility test of multifrequency radiometric data assimilation to estimate snow water equivalent. J Hydrometeorol 7(3):443–457

    Article  Google Scholar 

  • Entekhabi D, Nakamura H, Njoku EG (1994) Solving the inverse problem for soil moisture and temperature profiles by sequential assimilation of multifrequency remotely sensed observations. IEEE Trans Geosci Remote Sens 32(2):438–448

    Article  Google Scholar 

  • Fan WJ, Xu XR, Liu XC, Yan BY, Cui YK (2010) Accurate LAI retrieval method based on PROBA/CHRIS data. Hydrol Earth Syst Sci 14(8):1499–1507

    Article  Google Scholar 

  • Galantowicz JF, Entekhabi D, Njoku EG (1999) Test of sequential data assimilation for retrieving profile soil moisture and temperature from observed L-band radiobrightness. IEEE Trans Geosci Remote Sens 37(4):1860–1870

    Article  Google Scholar 

  • Gebremichael M, Wang J, Sammis TW (2010) Dependence of remote sensing evapotranspiration algorithm on spatial resolution. Atmos Res 96(4):489–495

    Article  Google Scholar 

  • Gillespie A, Rokugawa S, Matsunaga T, Kahle AB (1998) A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. IEEE Trans Geosci Remote Sens 36(4):1113–1126

    Article  Google Scholar 

  • Gitelson AA (2013) Remote estimation of crop fractional vegetation cover: the use of noise equivalent as an indicator of performance of vegetation indices. Int J Remote Sens 34(17):6054–6066

    Article  Google Scholar 

  • Goel NS, Rozehnal I, Thompson RL (1991) A computer graphics based model for scattering from objects of arbitrary shapes in the optical region. Remote Sens Environ 36(2):73–104

    Article  Google Scholar 

  • Hall FG, Hilker T, Coops NC, Lyapustin A, Huemmrich KF, Middleton E, Margolis H, Drolet G, Black TA (2008) Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction. Remote Sens Environ 112(7):3201–3211

    Article  Google Scholar 

  • Hazarika MK, Yasuoka Y, Ito A, Dye D (2005) Estimation of net primary productivity by integrating remote sensing data with an ecosystem model. Remote Sens Environ 94(3):298–310

    Article  Google Scholar 

  • He LM, Chen JM, Pan YD, Birdsey R, Kattge J (2012) Relationships between net primary productivity and forest stand age in U.S. forests. Glob Biogeochem Cycles 26(3):GB3009

    Google Scholar 

  • Henderson-Sellers A, Pitman AJ, Love PK, Irannejad P, Chen T (1995) The project for intercomparison of land surface parameterization schemes (PILPS): phases 2 and 3. Bull Am Meteorol Soc 76(4):489–503

    Article  Google Scholar 

  • Hilker T, Hall FG, Coops NC, Lyapustin A, Wang YJ, Nesic Z, Grant N, Black TA, Wulder MA, Kljun N, Hopkinson C, Chasmer L (2010) Remote sensing of photosynthetic light-use efficiency across two forested biomes: spatial scaling. Remote Sens Environ 114(12):2863–2874

    Article  Google Scholar 

  • Houser PR, Shuttleworth WJ, Famiglietti JS, Gupta HV, Syed KH, Goodrich DC (1998) Integration of soil moisture remote sensing and hydrologic modeling using data assimilation. Water Resour Res 34(12):3405–3420

    Article  Google Scholar 

  • Huang CL, Li X, Lu L, Gu J (2008) Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter. Remote Sens Environ 112(3):888–900

    Article  Google Scholar 

  • Huang HG, Liu QH, Qin WH (2010) Thermal emission hot-spot effect of crop canopies-Part I: Simulation. IEEE J Sel Top Appl Earth Obs Remote Sens 3(3):313–322

    Article  Google Scholar 

  • Hulley GC, Hook SJ, Schneider P (2011) Optimized split-window coefficients for deriving surface temperatures from inland water bodies. Remote Sens Environ 115(12):3758–3769

    Article  Google Scholar 

  • Ingram PM, Muse AH (2001) Sensitivity of iterative spectrally smooth temperature/emissivity separation to algorithmic assumptions and measurement noise. IEEE Trans Geosci Remote Sens 39(10):2158–2167

    Article  Google Scholar 

  • Jackson TJ, Gasiewski AJ, Oldak A, Klein M, Njoku EG, Yevgrafov A, Christiani S, Bindlish R (2002) Soil moisture retrieval using the C-band polarimetric scanning radiometer during the southern great plains 1999 Experiment. IEEE Trans Geosci Remote Sens 40(10):2151–2161

    Article  Google Scholar 

  • Jacquemoud S, Baret F (1990) PROSPECT: A model of leaf optical properties spectra. Remote Sens Environ 34(2):75–91

    Article  Google Scholar 

  • Jia L, Li ZL, Menenti M, Su Z, Verhoefd W, Wane Z (2003) A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data. Int J Remote Sens 24(23):4739–4760

    Google Scholar 

  • Jiang GM, Li ZL (2008) Split-window algorithm for land surface temperature estimation from MSG1-SEVIRI data. Int J Remote Sens 29(20):6067–6074

    Article  Google Scholar 

  • Jiang LM, Shi JC, Tjuatja SB, Dozier J, Chen KS, Zhang LX (2007) A parameterized multiple-scattering model for microwave emission from dry snow. Remote Sens Environ 111(2–3):357–366

    Article  Google Scholar 

  • Jin R, Li X, Che T (2009) A decision tree algorithm for surface soil freeze/thaw classification over China using SSM/I brightness temperature. Remote Sens Environ 113(12):2651–2660

    Article  Google Scholar 

  • Kerr YH, Lagouarde JP, Imbernon J (1992) Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm. Remote Sens Environ 41(2–3):197–209

    Article  Google Scholar 

  • Kim Y, Kimball JS, McDonald KC, Glassy J (2011) Developing a global data record of daily landscape freeze/thaw status using satellite passive microwave remote sensing. IEEE Trans Geosci Remote Sens 49(3):949–960

    Article  Google Scholar 

  • Kumar P, Kaleita AL (2003) Assimilation of near-surface temperature using extended Kalman filter. Adv Water Resour 26(1):79–93

    Article  Google Scholar 

  • Kuusk A (1995) A fast, invertible canopy reflectance model. Remote Sens Environ 51(3):342–350

    Article  Google Scholar 

  • Lemmetyinen J, Pulliainen J, Rees A, Kontu A, Qiu Y, Derksen C (2010) Multiple-layer adaptation of HUT snow emission model: Comparison with experimental data. IEEE Trans Geosci Remote Sens 48(7):2781–2794

    Article  Google Scholar 

  • Li XW, Strahler AH (1985) Geometric-optical modeling of a conifer forest canopy. IEEE Trans Geosci Remote Sens 23(5):705–721

    Article  Google Scholar 

  • Li XW, Wang JD (1999) The definition of effective emissivity of land surface at the scale of remote sensing pixels. Chin Sci Bull 44(23):2154–2158

    Article  Google Scholar 

  • Li X, Koike T, Pathmathevan M (2004) A very fast simulated re-annealing (VFSA) approach for land data assimilation. Comput Geosci 30(3):239–248

    Article  Google Scholar 

  • Li Z, Muller J-P, Cross P, Albert P, Fischer J, Bennartz R (2006) Assessment of the potential of MERIS near-infrared water vapour products to correct ASAR interferometric measurements. Int J Remote Sens 27(2):349–365

    Article  Google Scholar 

  • Li HR, Zhang SW, Qiu CJ, Zhang WD (2010) A study of retrieving the soil moisture profile by combining the four-dimensional variational data assimilation with the ensemble square root filter. Chin J Atmos Sci 34(1):193–201

    Google Scholar 

  • Li X, Cheng GD, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Liu QH, Wang WZ, Qi Y, Wen JG, Li HY, Zhu GF, Guo JW, Ran YH, Wang SG, Zhu ZL, Zhou J, Hu XL, Xu ZW (2013a) Heihe watershed allied telemetry experimental research (HiWATER): Scientific objectives and experimental design. Bull Am Meteorol Soc 94(8):1145–1160

    Article  Google Scholar 

  • Li ZL, Tang BH, Wu H, Ren HZ, Yan GJ, Wan ZM, Trigo IF, Sobrino JA (2013b) Satellite-derived land surface temperature: current status and perspectives. Remote Sens Environ 131:14–37

    Article  Google Scholar 

  • Liang SL (2003) A direct algorithm for estimating land surface broadband albedos from MODIS imagery. IEEE Trans Geosci Remote Sens 41(1):136–145

    Article  Google Scholar 

  • Liang SL, Strahler AH, Walthall C (1999) Retrieval of land surface albedo from satellite observations: a simulation study. J Appl Meteorol 38:712–725

    Article  Google Scholar 

  • Liu QH, Huang HG, Qin WH, Fu KH, Li XW (2007) An extended 3-D radiosity–graphics combined model for studying thermal-emission directionality of crop canopy. IEEE Trans Geosci Remote Sens 45(9):2900–2918

    Article  Google Scholar 

  • Ma XL, Wan ZM, Moeller CC, Menzel WP, Gumley LE, Zhang YL (2000) Retrieval of geophysical parameters from moderate resolution imaging spectroradiometer thermal infrared data: evaluation of a two-step physical algorithm. Appl Opt 39(20):3537–3550

    Article  Google Scholar 

  • Mao KB, Qin Z, Shi J, Gong P (2005) A practical split-window algorithm for retrieving land-surface temperature from MODIS data. Int J Remote Sens 26(15):3181–3204

    Article  Google Scholar 

  • Mao KB, Shi JC, Li ZL, Qin ZH, Li MC, Xu B (2007) A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data. Sci China Ser D Earth Sci 50(7):1115–1120

    Article  Google Scholar 

  • Markus T, Powell DC, Wang JR (2006) Sensitivity of passive microwave snow depth retrievals to weather effects and snow evolution. IEEE Trans Geosci Remote Sens 44(1):68–77

    Article  Google Scholar 

  • McCabe MF, Wood EF (2006) Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors. Remote Sens Environ 105(4):271–285

    Article  Google Scholar 

  • Mironov VL, Dobson MC, Kaupp VH, Komarov SA, Kleshchenko VN (2004) Generalized refractive mixing dielectric model for moist soils. IEEE Trans Geosci Remote Sens 42(4):773–785

    Article  Google Scholar 

  • Moradkhani H, Hsu KL, Gupta H, Sorooshian S (2005) Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter. Water Resour Res 41(5):W05012

    Article  Google Scholar 

  • Mu QZ, Heinsch FA, Zhao MS, Running SW (2007) Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens Environ 111(4):519–536

    Article  Google Scholar 

  • Myneni RB, Hoffman S, Knyazikhin Y, Privette JL, Glassy J, Tian Y, Wang Y, Song X, Zhang Y, Smith GR, Lotsch A, Friedl M, Morisette JT, Votava P, Nemani RR, Running SW (2002) Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens Environ 83(1–2):214–231

    Article  Google Scholar 

  • Njoku EG, Chan SK (2006) Vegetation and surface roughness effects on AMSR-E land observations. Remote Sens Environ 100(2):190–199

    Article  Google Scholar 

  • Norman JM (1979) Modeling the complete crop canopy. In: Barfield B, Gerber J (eds) Modification of the aerial environment of plants. American Society of Agricultural Engineers, Michigan

    Google Scholar 

  • Owe M, de Jeu R, Walker J (2001) A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Trans Geosci Remote Sens 39(8):1643–1654

    Article  Google Scholar 

  • Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA, Klooster SA (1993) Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem Cycles 7(4):811–841

    Article  Google Scholar 

  • Prince SD, Goward SN (1995) Global primary production: a remote sensing approach. J Biogeogr 22:815–835

    Article  Google Scholar 

  • Pulliainen J (2006) Mapping of snow water equivalent and snow depth in boreal and sub-arctic zones by assimilating space-borne microwave radiometer data and ground-based observations. Remote Sens Environ 101(2):257–269

    Article  Google Scholar 

  • Qin WH, Gerstl SAW (2000) 3-D scene modeling of semidesert vegetation cover and its radiation regime. Remote Sens Environ 74(1):145–162

    Article  Google Scholar 

  • Qin J, Liang SL, Yang K, Kaihotsu I, Liu RG, Koike T (2009) Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal. J Geophys Res Atmos 114(D15):D15103

    Article  Google Scholar 

  • Ren H, Yan G, Chen L, Li Z (2011) Angular effect of MODIS emissivity products and its application to the split-window algorithm. ISPRS J Photogr Remote Sens 66(4):498–507

    Article  Google Scholar 

  • Ren HZ, Liu RY, Yan GJ, Mu XH, Li ZL, Nerry F, Liu Q (2014) Angular normalization of land surface temperature and emissivity using multiangular middle and thermal infrared data. IEEE Trans Geosci Remote Sens 52(8):4913–4931

    Article  Google Scholar 

  • Rodell M, Houser PR (2004) Updating a land surface model with MODIS-derived snow cover. J Hydrometeorol 5(6):1064–1075

    Article  Google Scholar 

  • Ross JK, Marshak AL (1988) Calculation of canopy bidirectional reflectance using the Monte Carlo method. Remote Sens Environ 24(2):213–225

    Article  Google Scholar 

  • Sellers PJ, Randall DA, Collatz GJ, Berry JA, Field CB, Dazlich DA, Zhang C, Collelo GD, Bounoua L (1996) A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I: model formulation. J Clim 9(4):676–705

    Article  Google Scholar 

  • Shi JC, Dozier J (2000) Estimation of snow water equivalence using SIR-C/X-SAR, Part I: Inferring snow density and subsurface properties. IEEE Trans Geosci Remote Sens 38(6):2465–2474

    Article  Google Scholar 

  • Shi JC, Jiang LM, Zhang LX, Chen K-S, Wigneron JP, Chanzy A (2005) A parameterized multifrequency-polarization surface emission model. IEEE Trans Geosci Remote Sens 43(12):2831–2841

    Article  Google Scholar 

  • Shi J, Jiang L, Zhang L, Chen KS, Wigneron JP, Chanzy A, Jackson TJ (2006) Physically based estimation of bare-surface soil moisture with the passive radiometers. IEEE Trans Geosci Remote Sens 44(11):3145–3153

    Article  Google Scholar 

  • Shi JC, Jackson T, Tao J, Du J, Bindlish R, Lu L, Chen KS (2008) Microwave vegetation indices for short vegetation covers from satellite passive microwave sensor AMSR-E. Remote Sens Environ 112(12):4285–4300

    Article  Google Scholar 

  • Song X, Zhao Y (2007) Study on component temperatures inversion using satellite remotely sensed data. Int J Remote Sens 28(11):2567–2579

    Google Scholar 

  • Strahler AH, Muller J-P (1999) MODIS BRDF/Albedo Product: Algorithm Theoretical Basis Document Version 5.0. MODIS Product ID: MOD43

    Google Scholar 

  • Strugnell NC, Lucht W (2001) An algorithm to infer continental-scale albedo from AVHRR data, land cover class, and field observations of typical BRDFs. J Clim 14(7):1360–1376

    Article  Google Scholar 

  • Suits GH (1971) The calculation of the directional reflectance of a vegetative canopy. Remote Sens Environ 2:117–125

    Article  Google Scholar 

  • Sun DL, Pinker RT (2003) Estimation of land surface temperature from a geostationary operational environmental satellite (GOES-8). J Geophys Res Atmos 108(D11):4326

    Article  Google Scholar 

  • Tang BH, Bi YY, Li Z-L, Xia J (2008) Generalized split-window algorithm for estimate of land surface temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data. Sensors 8(2):933–951

    Article  Google Scholar 

  • Tian XJ, Xie ZH (2008) A land surface soil moisture data assimilation framework in consideration of the model subgrid-scale heterogeneity and soil water thawing and freezing. Sci China Ser D Earth Sci 51(7):992–1000

    Article  Google Scholar 

  • Tian XJ, Xie ZH (2009) An explicit four-dimensional variational data assimilation method based on the proper orthogonal decomposition: Theoretics and evaluation. Sci China Ser D Earth Sci 52(2):279–286

    Article  Google Scholar 

  • Tian XJ, Xie ZH, Dai AG (2008) An ensemble-based explicit four-dimensional variational assimilation method. J Geophys Res Atmos 113(D21):D21124

    Article  Google Scholar 

  • Tian XJ, Xie ZH, Dai AG, Shi CX, Jia BH, Chen F, Yang K (2009) A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature. J Geophys Res Atmos 114(D16):D16102

    Article  Google Scholar 

  • Tian XJ, Xie ZH, Dai AG (2010a) An ensemble conditional nonlinear optimal perturbation approach: Formulation and applications to parameter calibration. Water Resour Res 46(9):W09540

    Article  Google Scholar 

  • Tian XJ, Xie ZH, Dai AG, Jia BH, Shi CX (2010b) A microwave land data assimilation system: scheme and preliminary evaluation over China. J Geophys Res Atmos 115(D21):D21113

    Article  Google Scholar 

  • Tian XJ, Xie ZH, Sun Q (2011) A POD-based ensemble four-dimensional variational assimilation method. Tellus 63(4):805–816

    Article  Google Scholar 

  • Timmermans WJ, Kustas WP, Anderson MC, French AN (2007) An intercomparison of the surface energy balance algorithm for land (SEBAL) and the two-source energy balance (TSEB) modeling schemes. Remote Sens Environ 108(4):369–384

    Article  Google Scholar 

  • Tsang L, Chen CT, Chang ATC, Guo J, Ding KH (2000) Dense media radiative transfer theory based on quasicrystalline approximation with applications to passive microwave remote sensing of snow. Radio Sci 35(3):731–749

    Article  Google Scholar 

  • Verhoef W (1984) Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sens Environ 16(2):125–141

    Article  Google Scholar 

  • Wagle P, Xiao XM, Torn MS, Cook DR, Matamala R, Fischer ML, Jin C, Dong JW, Biradar C (2014) Sensitivity of vegetation indices and gross primary production of tallgrass prairie to severe drought. Remote Sens Environ 152:1–14

    Article  Google Scholar 

  • Walker JP, Houser PR (2001) A methodology for initializing soil moisture in a global climate model: Assimilation of near-surface soil moisture observations. Journal of Geophysical Research-Atmospheres 106(D11):11761–11774

    Article  Google Scholar 

  • Wan ZM, Dozier J (1996) A generalized split-window algorithm for retrieving land-surface temperature from space. IEEE Trans Geosci Remote Sens 34(4):892–905

    Article  Google Scholar 

  • Wan ZM, Li ZL (1997) A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data. IEEE Trans Geosci Remote Sens 35(4):980–996

    Article  Google Scholar 

  • Wang KC, Li ZQ, Cribb M (2006) Estimation of evaporative fraction from a combination of day and night land surface temperatures and NDVI: A new method to determine the Priestley-Taylor parameter. Remote Sens Environ 102(3–4):293–305

    Article  Google Scholar 

  • Wang SQ, Zhou L, Chen JM, Ju WM, Feng XF, Wu WX (2011) Relationships between net primary productivity and stand age for several forest types and their influence on China’s carbon balance. J Environ Manage 92(6):1651–1662

    Article  Google Scholar 

  • Wegmuller U, Matzler C (1999) Rough bare soil reflectivity model. IEEE Trans Geosci Remote Sens 37(3):1391–1395

    Article  Google Scholar 

  • Wen JG, Liu QA, Liu QH, Xiao Q, Li XW (2009) Scale effect and scale correction of land-surface albedo in rugged terrain. Int J Remote Sens 30(20):5397–5420

    Article  Google Scholar 

  • Wen JG, Zhao XJ, Liu Q, Tang Y, Dou BC (2014) An improved land-surface albedo algorithm with DEM in rugged terrain. IEEE Geosci Remote Sens Lett 11(4):883–887

    Article  Google Scholar 

  • Wiesmann A, Mätzler C (1999) Microwave emission model of layered snowpacks. Remote Sens Environ 70(3):307–316

    Article  Google Scholar 

  • Wigneron J-P, Laguerre L, Kerr YH (2001) A simple parameterization of the L-band microwave emission from rough agricultural soils. IEEE Trans Geosci Remote Sens 39(8):1697–1707

    Article  Google Scholar 

  • Wigneron JP, Kerr Y, Waldteufel P, Saleh K, Escorihuela MJ, Richaume P, Ferrazzoli P, de Rosnay P, Gurney R, Calvet JC, Grant JP, Guglielmetti M, Hornbuckle B, Mätzler C, Pellarin T, Schwank M (2007) L-band microwave emission of the biosphere (L-MEB) model: Description and calibration against experimental data sets over crop fields. Remote Sens Environ 107(4):639–655

    Article  Google Scholar 

  • Wu CY, Chen JM, Desai AR, Hollinger DY, Arain MA, Margolis HA, Gough CM, Staebler RM (2012a) Remote sensing of canopy light use efficiency in temperate and boreal forests of North America using MODIS imagery. Remote Sens Environ 118:60–72

    Article  Google Scholar 

  • Wu L, Liu X, Zhou B, Li L, Tan Z (2012b) Spatial-time continuous changes simulation of crop growth parameters with multi-source remote sensing data and crop growth model. J Remote Sens 16(6):1173–1191

    Google Scholar 

  • Xiao XM, Zhang QY, Braswell B, Urbanski S, Boles S, Wofsy S, Moore B III, Ojima D (2004) Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ 91(2):256–270

    Article  Google Scholar 

  • Xie XH, Zhang DX (2010) Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter. Adv Water Resour 33(6):678–690

    Article  Google Scholar 

  • Xu XR, Fan WJ, Chen LF (2002) Matrix expression of thermal radiative characteristics for an open complex. Sci China Ser D Earth Sci 45(7):654–661

    Article  Google Scholar 

  • Xu TR, Liu SM, Liang SL, Qi J (2011) Improving predictions of water and heat fluxes by assimilating MODIS land surface temperature products into the common land model. J Hydrometeorol 12(2):227–244

    Article  Google Scholar 

  • Xu TR, Bateni SM, Liang S, Entekhabi D, Mao KB (2014) Estimation of surface turbulent heat fluxes via variational assimilation of sequences of land surface temperatures from geostationary operational environmental satellites. J Geophys Res Atmos 119(18):10780–10798

    Article  Google Scholar 

  • Yan GJ, Jiang LM, Wang JD, Chen LF, Li XW (2003) Thermal bidirectional gap probability model for row crop canopies and validation. Sci China Ser D Earth Sci 46(12):1241–1249

    Article  Google Scholar 

  • Yang K, Watanabe T, Koike T, Li X, Fujii H, Tamagawa K, Ma YM, Ishikawa H (2007) Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and surface energy budget. J Meteorol Soc Jpn 85A:229–242

    Article  Google Scholar 

  • Yuan WP, Liu SG, Zhou GS, Zhou GY, Tieszen LL, Baldocchi D, Bernhofer C, Gholz H, Goldstein AH, Goulden ML, Hollinger DY, Hu YM, Law BE, Stoy PC, Vesala T, Wofsy SC (2007) Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agric For Meteorol 143(3–4):189–207

    Article  Google Scholar 

  • Yuan WP, Cai WW, Liu SG, Dong WJ, Chen JQ, Arain MA, Blanken PD, Cescatti A, Wohlfahrt G, Georgiadis T, Genesio L, Gianelle D, Grelle A, Kiely G, Knohl A, Liu D, Marek MV, Merbold L, Montagnani L, Panferov O, Peltoniemi M, Rambal S, Raschi A, Varlagin A, Xia JZ (2014) Vegetation-specific model parameters are not required for estimating gross primary production. Ecol Model 292:1–10

    Article  Google Scholar 

  • Zhang H, Berg AC, Maire M, Malik J (2006) SVM-KNN: discriminative nearest neighbor classification for visual category recognition. In: CVPR ’06 Proceedings of the 2006 IEEE computer society conference on computer vision and pattern recognition-volume 2. IEEE Computer Society, Washington, D.C., USA, pp 2126–2136

    Google Scholar 

  • Zhang LX, Zhao TJ, Jiang LM, Zhao SJ (2010) Estimate of phase transition water content in freeze-thaw process using microwave radiometer. IEEE Trans Geosci Remote Sens 48(12):4248–4255

    Article  Google Scholar 

  • Zhang SL, Shi JC, Dou YJ (2012) A soil moisture assimilation scheme based on the microwave land emissivity model and the community land model. Int J Remote Sens 33(9):2770–2797

    Article  Google Scholar 

  • Zhao L, Li J, Xu S, Zhou H, Li Y, Gu S, Zhao X (2010) Seasonal variations in carbon dioxide exchange in an alpine wetland meadow on the Qinghai-Tibetan Plateau. Biogeosciences 7(4):1207–1221

    Google Scholar 

  • Zhao TJ, Zhang LX, Shi JC, Jiang LM (2011) A physically based statistical methodology for surface soil moisture retrieval in the Tibet Plateau using microwave vegetation indices. J Geophys Res Atmos 116(D8):D08116

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

    Liangfu Chen, Xiaozhou Xin, Chaoyang Wu, Tianjie Zhao, Shenglei Zhang & Xiaoying Li

  2. Beijing Normal University, Beijing, China

    Jin Chen & Guangjian Yan

  3. Peking University, Nanjing, China

    Wenjie Fan

Authors
  1. Liangfu Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jin Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guangjian Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wenjie Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiaozhou Xin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chaoyang Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Tianjie Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Shenglei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Xiaoying Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Liangfu Chen .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 The Commercial Press, Ltd. and Springer Science+Business Media Singapore

About this chapter

Cite this chapter

Chen, L. et al. (2017). Remote Sensing Modelling and Parameter Inversion. In: The Geographical Sciences During 1986—2015. Springer Geography. Springer, Singapore. https://doi.org/10.1007/978-981-10-1884-8_14

Download citation

Publish with us

Policies and ethics

Search

Navigation