Land Surface Temperature Retrieval from MODIS Data by Integrating Regression Models and the Genetic Algorithm in an Arid Region

Abstract: The land surface temperature (LST) is one of the most important parameters of surface-atmosphere interactions. Methods for retrieving LSTs from satellite remote sensing data are beneficial for modeling hydrological, ecological, agricultural and meteorological processes on Earth’s surface. Many split-window (SW) algorithms, which can be applied to satellite sensors with two adjacent thermal channels located in the atmospheric window between 10 μm and 12 μm, require auxiliary atmospheric parameters (e.g., water vapor content). In this research, the Heihe River basin, which is one of the most arid regions in China, is selected as the study area. The Moderate-resolution Imaging Spectroradiometer (MODIS) is selected as a test case. The Global Data Assimilation System (GDAS) atmospheric profiles of the study area are used to generate the training dataset through radiative transfer simulation. Significant correlations between the atmospheric upwelling radiance in MODIS channel 31 and the other three atmospheric parameters, including the transmittance in channel 31 and the transmittance and upwelling radiance in channel 32, are trained based on the simulation dataset and formulated with three regression models. Next, the genetic algorithm is used to estimate the LST. Validations of the RM-GA method are based on the simulation dataset generated from

[1]  Xiru Xu,et al.  Genetic inverse algorithm for retrieval of component temperature of mixed pixel by multi-angle thermal infrared remote sensing data , 2001 .

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

[3]  Ji Zhou,et al.  Modelling the diurnal variations of urban heat islands with multi-source satellite data , 2013 .

[4]  M. R. Saradjian,et al.  Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by Day/Night LST algorithm , 2007 .

[5]  José A. Sobrino,et al.  On the atmospheric dependence of the split-window equation for land surface temperature , 1994 .

[6]  Simon J. Hook,et al.  Absolute Radiometric In-Flight Validation of Mid Infrared and Thermal Infrared Data From ASTER and MODIS on the Terra Spacecraft Using the Lake Tahoe, CA/NV, USA, Automated Validation Site , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[7]  C. Francois,et al.  Atmospheric corrections in the thermal infrared: global and water vapor dependent split-window algorithms-applications to ATSR and AVHRR data , 1996, IEEE Trans. Geosci. Remote. Sens..

[8]  K. Arai,et al.  Comparison of the sea surface temperature estimation methods , 1995 .

[9]  Yoram J. Kaufman,et al.  Remote sensing of water vapor in the near IR from EOS/MODIS , 1992, IEEE Trans. Geosci. Remote. Sens..

[10]  P. Gong,et al.  Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval , 2006 .

[11]  J. C. Price,et al.  Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer , 1984 .

[12]  José A. Sobrino,et al.  Atmospheric correction for land surface temperature using NOAA-11 AVHRR channels 4 and 5 , 1991 .

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

[14]  José A. Sobrino,et al.  A Comparative Study of Land Surface Emissivity Retrieval from NOAA Data , 2001 .

[15]  Ji Zhou,et al.  Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere , 2012 .

[16]  A. Prata.  Land surface temperatures derived from the advanced very high resolution radiometer and the along‐track scanning radiometer: 1. Theory , 1993 .

[17]  W. Ke.  Atmospheric hydrologic cycle over the Qilian-Heihe Valley , 2003 .

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

[19]  Shuichi Rokugawa,et al.  A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images , 1998, IEEE Trans. Geosci. Remote. Sens..

[20]  D. Vidal-Madjar,et al.  Estimation of Land Surface Temperature with NOAA9 Data , 1992 .

[21]  Gary J. Jedlovec,et al.  Precipitable water estimation from high-resolution split window radiance measurements , 1990 .

[22]  J. Sobrino,et al.  A generalized single‐channel method for retrieving land surface temperature from remote sensing data , 2003 .

[23]  José A. Sobrino,et al.  Error sources on the land surface temperature retrieved from thermal infrared single channel remote sensing data , 2006 .

[24]  Z. Wan.  New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products , 2008 .

[25]  Yujiu Xiong,et al.  Comparison of two split-window methods for retrieving land surface temperature from MODIS data , 2009 .

[26]  José A. Sobrino,et al.  Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco , 2000 .

[27]  A. Karnieli,et al.  Derivation of split window algorithm and its sensitivity analysis for retrieving land surface temperature from NOAA-advanced very high resolution radiometer data , 2001 .

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

[29]  Zhuang Jiali,et al.  Genetic inverse algorithm for retrieval of component temperature of mixed pixel by multi-angle thermal infrared remote sensing data , 2001 .

[30]  A.Vidal.  Atmospheric and emissivity correction of land surface temperature measured from satellite using ground measurements or satellite data , 1991 .

[31]  Alexander Ignatov,et al.  Validation of clear-sky radiances over oceans simulated with MODTRAN4.2 and global NCEP GDAS fields against nighttime NOAA15-18 and MetOp-A AVHRR data , 2008 .

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

[33]  C. Ottlé,et al.  Effect of atmospheric absorption and surface emissivity on the determination of land surface temperature from infrared satellite data , 1993 .

[34]  D. C. Robertson,et al.  MODTRAN cloud and multiple scattering upgrades with application to AVIRIS , 1998 .

[35]  S. Liang.  Quantitative Remote Sensing of Land Surfaces , 2003 .

[36]  Yaoming Ma.  Remote sensing parameterization of regional net radiation over heterogeneous land surface of Tibetan Plateau and arid area , 2003 .

[37]  José A. Sobrino,et al.  Satellite-derived land surface temperature: Current status and perspectives , 2013 .

[38]  Hideyuki Tonooka,et al.  An atmospheric correction algorithm for thermal infrared multispectral data over land-a water-vapor scaling method , 2001, IEEE Trans. Geosci. Remote. Sens..

[39]  Carlo Ulivieri,et al.  A split window algorithm for estimating land surface temperature from satellites , 1994 .

[40]  H. Fischer,et al.  Land surface temperature and emissivity estimation from passive sensor data: Theory and practice-current trends , 2002 .

[41]  A. Cracknell,et al.  Retrieval of land and sea surface temperature using NOAA-11 AVHRR· data in north-eastern Brazil , 1994 .

[42]  Shunlin Liang,et al.  An optimization algorithm for separating land surface temperature and emissivity from multispectral thermal infrared imagery , 2001, IEEE Trans. Geosci. Remote. Sens..

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

[44]  Carlo Ulivieri,et al.  Land surface temperature retrievals from satellite measurements , 1985 .

[45]  Frieke Van Coillie,et al.  Feature selection by genetic algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium , 2007 .

[46]  P. S. Kealy,et al.  Separating temperature and emissivity in thermal infrared multispectral scanner data: implications for recovering land surface temperatures , 1993, IEEE Trans. Geosci. Remote. Sens..

[47]  Jan-Peter Muller,et al.  Comparison of precipitable water vapor derived from radiosonde, GPS, and Moderate‐Resolution Imaging Spectroradiometer measurements , 2003 .

[48]  Zhuang Jia-li.  Retrieval of Component Temperature of Continuous Vegetation Using Genetic Algorithm , 2001 .

[49]  Nektarios Chrysoulakis,et al.  Improving the estimation of land surface temperature for the region of Greece: Adjustment of a split window algorithm to account for the distribution of precipitable water , 2002 .

[50]  Ji Zhou,et al.  Maximum Nighttime Urban Heat Island (UHI) Intensity Simulation by Integrating Remotely Sensed Data and Meteorological Observations , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[51]  Z. Niu,et al.  Watershed Allied Telemetry Experimental Research , 2009 .

[52]  X. Song,et al.  Study on component temperatures inversion using satellite remotely sensed data , 2007 .

[53]  Miquel Ninyerola,et al.  Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[54]  Jeff Dozier,et al.  A generalized split-window algorithm for retrieving land-surface temperature from space , 1996, IEEE Trans. Geosci. Remote. Sens..