Determination of regional distributions and seasonal variations of land surface heat fluxes from Landsat‐7 Enhanced Thematic Mapper data over the central Tibetan Plateau area

[1] In this study, a parameterization method based on Landsat-7 ETM data and field observations has been proposed and tested for deriving surface reflectance, surface temperature, NDVI, MSAVI, vegetation coverage, LAI, net radiation flux, soil heat flux, sensible heat flux and latent heat flux over heterogeneous landscape. As a case study, the methodology was applied to the experimental area of the CAMP/Tibet, which located at the central Tibetan Plateau. Two scenes of Landsat-7 ETM data were used in this study. The scene of 9 June 2002 was selected as a case of summer, and the scene of 2 December 2002 was selected as a case of winter. To validate the proposed methodology, the ground-measured surface reflectance, surface temperature, net radiation flux, soil heat flux, sensible heat flux and latent heat flux are compared to Landsat-7 ETM derived values. The results show that the derived surface variables and land surface heat fluxes in two different months over the study area are in good accordance with the land surface status. These parameters show a wide range due to the strong contrast of surface features. Also, the estimated land surface variables and land surface heat fluxes are in good agreement with ground measurements, and all their absolute percent difference is less than 9.9% in the validation sites. It is therefore concluded that the proposed methodology is successful for the retrieval of land surface variables and land surface heat fluxes using the Landsat-7 ETM data and filed observations over the study area.

[1]  E. K. Webb Profile relationships: The log‐linear range, and extension to strong stability , 1970 .

[2]  Guoxiong Wu,et al.  The role of the heat source of the Tibetan Plateau in the general circulation , 1998 .

[3]  Piers J. Sellers,et al.  A Review of Satellite Data Algorithms for Studies of the Land Surface , 1990 .

[4]  Chengfeng Li,et al.  Seasonal Heating of the Tibetan Plateau and Its Effects on the Evolution of the Asian Summer Monsoon , 1992 .

[5]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[6]  S. Idso,et al.  Analysis of an empirical model for soil heat flux under a growing wheat crop for estimating evaporation by an infrared-temperature based energy balance equation , 1987 .

[7]  William P. Kustas,et al.  Estimates of Evapotranspiration with a One- and Two-Layer Model of Heat Transfer over Partial Canopy Cover , 1990 .

[8]  F. Kruse,et al.  Thermal infrared exploration in the Carlin trend, northern Nevada , 1990 .

[9]  Duzheng Ye,et al.  Some Characteristics of the Summer Circulation Over the Qinghai-Xizang (Tibet) Plateau and Its Neighborhood , 1981 .

[10]  Brent Clothier,et al.  ESTIMATION OF SOIL HEAT FLUX FROM NET RADIATION DURING THE GROWTH OF ALFALFA , 1986 .

[11]  John L. Monteith,et al.  A four-layer model for the heat budget of homogeneous land surfaces , 1988 .

[12]  Craig S. T. Daughtry,et al.  Estimation of the soil heat flux/net radiation ratio from spectral data , 1990 .

[13]  Bruno Monteny,et al.  Effective parameters of surface energy balance in heterogeneous landscape , 1994 .

[14]  R. Pinker Satellites and our understanding of the surface energy balance , 1990 .

[15]  P. J. Mason,et al.  On the parameterization of drag over small-scale topography in neutrally-stratified boundary-layer flow , 1989 .

[16]  B. Choudhury,et al.  Parameterization of land surface evaporation by means of location dependent potential evaporation and surface temperature range , 2007 .

[17]  V. Caselles,et al.  Mapping land surface emissivity from NDVI: Application to European, African, and South American areas , 1996 .

[18]  J. C. Price Estimating vegetation amount from visible and near infrared reflectances , 1992 .

[19]  Toshio Koike,et al.  Regionalization of Surface Fluxes over Heterogeneous Landscape of the Tibetan Plateau by Using Satellite Remote Sensing Data , 2003 .

[20]  Z. Su The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[21]  Toshio Koike,et al.  Determination of regional net radiation and soil heat flux over a heterogeneous landscape of the Tibetan Plateau , 2002 .

[22]  B. Pinty,et al.  A Method for the Estimate of Broadband Directional Surface Albedo from a Geostationary Satellite , 1987 .

[23]  Anne B. Kahle,et al.  Separation of temperature and emittance in remotely sensed radiance measurements , 1992 .

[24]  A. Chedin,et al.  The Improved Initialization Inversion Method: A High Resolution Physical Method for Temperature Retrievals from Satellites of the TIROS-N Series. , 1985 .

[25]  J. Susskind,et al.  Remote Sensing of Weather and Climate Parameters From , 1984 .

[26]  Toshio Koike,et al.  Surface Flux Parameterization in the Tibetan Plateau , 2003 .

[27]  W. Bastiaanssen Regionalization of surface flux densities and moisture indicators in composite terrain. A remote sensing approach under clear skies in Mediterranean climates. , 1995 .

[28]  Yaoming Ma,et al.  Turbulent exchange of heat, water vapor, and momentum over a Tibetan prairie by eddy covariance and flux variance measurements , 2004 .

[29]  William P. Kustas,et al.  A two‐source approach for estimating turbulent fluxes using multiple angle thermal infrared observations , 1997 .

[30]  A. Huete,et al.  A Modified Soil Adjusted Vegetation Index , 1994 .

[31]  Christopher O. Justice,et al.  Monitoring the grasslands of the Sahel using NOAA AVHRR data: Niger 1983 , 1986 .

[32]  J. Dozier,et al.  Land-surface temperature measurement from space: physical principles and inverse modeling , 1989 .

[33]  Toshio Koike,et al.  On measuring and remote sensing surface energy partitioning over the Tibetan Plateau––from GAME/Tibet to CAMP/Tibet , 2003 .

[34]  Craig S. T. Daughtry,et al.  Spectral estimates of net radiation and soil heat flux , 1990 .

[35]  Z. Li,et al.  Feasibility of land surface temperature and emissivity determination from AVHRR data , 1993 .

[36]  A. Berk MODTRAN : A moderate resolution model for LOWTRAN7 , 1989 .

[37]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature [Agric. For. Meteorol., 77 (1995) 263–293]☆ , 1996 .

[38]  Z. Li,et al.  Towards a local split window method over land surfaces , 1990 .

[39]  Yaoming Ma,et al.  Analysis of aerodynamic and thermodynamic parameters on the grassy marshland surface of Tibetan Plateau (SCI) , 2002 .

[40]  Wim G.M. Bastiaanssen,et al.  Determination of surface hemispherical reflectance with Thematic Mapper data , 1989 .

[41]  C. Paulson The Mathematical Representation of Wind Speed and Temperature Profiles in the Unstable Atmospheric Surface Layer , 1970 .

[42]  Yaoming Ma,et al.  Diurnal and inter-monthly variation of land surface heat fluxes over the central Tibetan Plateau area , 2005 .

[43]  P. Koepke,et al.  The effect of surface reflection function and of atmospheric parameters on the shortwave radiation budget , 1985 .

[44]  T. Schmugge,et al.  TIMS observation of surface emissivity in HAPEX-Sahel , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[45]  Fran Li,et al.  Surface temperature and emissivity at various scales: Definition, measurement and related problems , 1995 .

[46]  P. J. Mason,et al.  The formation of areally‐averaged roughness lengths , 1988 .

[47]  Joost A. Businger,et al.  A note on the Businger-Dyer profiles , 1988 .

[48]  W. Verhoef Theory of radiative transfer models applied in optical remote sensing of vegetation canopies , 1998 .

[49]  Toshio Koike,et al.  Analytical Solution of Surface Layer Similarity Equations , 2001 .

[50]  T. Carlson,et al.  On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .

[51]  Toshio Koike,et al.  Improvement of surface flux parametrizations with a turbulence‐related length , 2002 .

[52]  Michael R. Raupach,et al.  Simplified expressions for vegetation roughness length and zero-plane displacement as functions of canopy height and area index , 1994 .

[53]  M. S. Moran,et al.  Determination of sensible heat flux over sparse canopy using thermal infrared data , 1989 .

[54]  C. Justice,et al.  Analysis of the phenology of global vegetation using meteorological satellite data , 1985 .

[55]  Toshio Koike,et al.  Analysis of the Surface Energy Budget at a Site of GAME/Tibet using a Single-Source Model , 2004 .

[56]  Z. Su The Surface Energy Balance System ( SEBS ) for estimation of turbulent heat fluxes , 2002 .

[57]  Wim G.M. Bastiaanssen,et al.  The scaling-up of processes in the heterogeneous landscape of HEIFE with the aid of satellite remote sensing , 1995 .

[58]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .