Land surface reflectance, emissivity and temperature from MODIS middle and thermal infrared data

Abstract The following paper presents a method to retrieve surface reflectance, emissivity and temperature in the middle infrared (3–5 μm) and thermal infrared (8–12 μm). It is applied to Moderate Resolution Imaging Spectroradiometer (MODIS) data acquired over Southern Africa during the August to October 2000 period. This method relies first on atmospheric correction of the middle-thermal infrared radiances which uses National Center for Environmental Prediction (NCEP) humidity, pressure and temperature profiles and second on constructing and using a database of night emissivities ratio (Temperature Independent Spectral Indices of Emissivity, TISIE). The middle infrared reflectances (3–5 μm) are then derived from day-time measurements and mean TISIE values. By hemispheric integration (over a 16-day period), they lead to middle infrared directional emissivity which, combined with TISIE again, leads to thermal infrared emissivity and surface temperature. The reflectance accuracies are assessed by looking at targets of known reflectance (water and sun-glint). The emissivities in the thermal infrared are assessed by checking the spectral invariance of the derived surface temperature in the 3–5- and 8–12-μm region. Other consistency checks are performed leading to the conclusion that the reflectance, emissivity and surface temperature are derived within ±0.015, ±0.01 and ±1 K, respectively. Finally, a direct application of the MODIS middle infrared surface reflectances to the fire detection problem is developed and the results compared to the Landsat 7 high spatial resolution data.

[1]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[2]  F. Becker,et al.  The impact of spectral emissivity on the measurement of land surface temperature from a satellite , 1987 .

[3]  Zhao-Liang Li,et al.  A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data , 1997, IEEE Trans. Geosci. Remote. Sens..

[4]  William C. Snyder,et al.  Thermal Infrared (3–14 μm) bidirectional reflectance measurements of sands and soils , 1997 .

[5]  E. Vermote,et al.  A Method to Retrieve the Reflectivity Signature at 3.75 μm from AVHRR Data , 1998 .

[6]  A. Robock Enhancement of Surface Cooling Due to Forest Fire Smoke , 1988, Science.

[7]  W. C. Snyder,et al.  Classification-based emissivity for land surface temperature measurement from space , 1998 .

[8]  K. Masuda,et al.  Emissivity of pure and sea waters for the model sea surface in the infrared window regions , 1988 .

[9]  A. Karnieli,et al.  Progress in the remote sensing of land surface temperature and ground emissivity using NOAA-AVHRR data , 1999 .

[10]  D. Roy,et al.  The MODIS fire products , 2002 .

[11]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[12]  J. Salisbury,et al.  Thermal‐infrared remote sensing and Kirchhoff's law: 1. Laboratory measurements , 1993 .

[13]  E. Vermote,et al.  Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer , 1997 .

[14]  T. Takashima,et al.  Emissivities of quartz and Sahara dust powders in the infrared region (7–17 μ) , 1987 .

[15]  G. M. Hale,et al.  Optical Constants of Water in the 200-nm to 200-microm Wavelength Region. , 1973, Applied optics.

[16]  A. Strahler,et al.  On the derivation of kernels for kernel‐driven models of bidirectional reflectance , 1995 .

[17]  J. Dozier A method for satellite identification of surface temperature fields of subpixel resolution , 1981 .

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

[19]  Françoise Nerry,et al.  Bidirectional Reflectivity in AVHRR Channel 3 , 1998 .

[20]  Françoise Nerry,et al.  Mapping temperature independent spectral indice of emissivity and directional emissivity in AVHRR channels 4 and 5 , 2002 .

[21]  T. Eck,et al.  Sun photometric measurements of atmospheric water vapor column abundance in the 940‐nm band , 1997 .

[22]  Z. Li,et al.  Temperature-independent spectral indices in thermal infrared bands , 1990 .

[23]  Alan H. Strahler,et al.  An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..

[24]  W. Munk,et al.  Measurement of the Roughness of the Sea Surface from Photographs of the Sun’s Glitter , 1954 .

[25]  Françoise Nerry,et al.  Mapping directional emissivity at 3.7 μ m using a simple model of bi-directional reflectivity , 2002 .

[26]  J. Salisbury,et al.  Emissivity of terrestrial materials in the 3–5 μm atmospheric window☆ , 1992 .

[27]  Z. Wan,et al.  Evaluation of Six Methods for Extracting Relative Emissivity Spectra from Thermal Infrared Images , 1999 .

[28]  F. E. Nicodemus Directional Reflectance and Emissivity of an Opaque Surface , 1965 .

[29]  Kalifa Goita,et al.  Surface temperature and emissivity separability over land surface from combined TIR and SWIR AVHRR data , 1997, IEEE Trans. Geosci. Remote. Sens..