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ZHOU Ji, ZHAN Wenfeng, HU Deyong, ZHAO Xiang. Improvement of Mono-window Algorithm for Retrieving Land Surface Temperature from HJ-1B Satellite Data[J]. Chinese Geographical Science, 2010, 20(2): 123-131. doi: 10.1007/s11769-010-0123-z
Citation: ZHOU Ji, ZHAN Wenfeng, HU Deyong, ZHAO Xiang. Improvement of Mono-window Algorithm for Retrieving Land Surface Temperature from HJ-1B Satellite Data[J]. Chinese Geographical Science, 2010, 20(2): 123-131. doi: 10.1007/s11769-010-0123-z
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Improvement of Mono-window Algorithm for Retrieving Land Surface Temperature from HJ-1B Satellite Data

doi: 10.1007/s11769-010-0123-z
  • 1.

    State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China;

  • 2.

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;

  • 3.

    State Key Laboratory for Remote Sensing Science, Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China

Funds:  Under the auspices of Opening Funding of State Key Laboratory for Remote Sensing Science;National High-tech Research and Development Program (863 Program) (No. 2007AA120205, 2007AA120306)
  • Received Date: 2009-09-09
  • Rev Recd Date: 2009-12-02
  • Publish Date: 2010-01-22
  • The thermal infrared channel (IRS4) of HJ-1B satellite obtains view zenith angles (VZA) up to ±33°. The view angle should be taken into account when retrieving land surface temperature (LST) from IRS4 data. This study aims at improving the mono-window algorithm for retrieving LST from IRS4 data. Based on atmospheric radiative transfer simulations,a model for correcting the VZA effects on atmospheric transmittance is proposed. In addition,a generalized model for calculating the effective mean atmospheric temperature is developed. Validation with the simulated dataset based on standard atmospheric profiles reveals that the improved mono-window algorithm for IRS4 obtains high accuracy for LST retrieval,with the mean absolute error (MAE) and root mean square error (RMSE) being 1.0 K and 1.1 K,respectively. Numerical experiment with the radiosonde profile acquired in Beijing in winter demonstrates that the improved mono-window algorithm exhibits excellent ability for LST retrieval,with MAE and RMSE being 0.6 K and 0.6 K,respectively. Further application in Qinghai Lake and comparison with the Moderate-Resolution Imaging Spectroradiometer (MODIS) LST product suggest that the improved mono-window algorithm is applicable and feasible in actual conditions.
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Improvement of Mono-window Algorithm for Retrieving Land Surface Temperature from HJ-1B Satellite Data

doi: 10.1007/s11769-010-0123-z
  • 1. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China;
  • 2. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
  • 3. State Key Laboratory for Remote Sensing Science, Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
Funds:  Under the auspices of Opening Funding of State Key Laboratory for Remote Sensing Science;National High-tech Research and Development Program (863 Program) (No. 2007AA120205, 2007AA120306)
  • Received Date: 2009-09-09
  • Rev Recd Date: 2009-12-02
  • Publish Date: 2010-01-22

Abstract: The thermal infrared channel (IRS4) of HJ-1B satellite obtains view zenith angles (VZA) up to ±33°. The view angle should be taken into account when retrieving land surface temperature (LST) from IRS4 data. This study aims at improving the mono-window algorithm for retrieving LST from IRS4 data. Based on atmospheric radiative transfer simulations,a model for correcting the VZA effects on atmospheric transmittance is proposed. In addition,a generalized model for calculating the effective mean atmospheric temperature is developed. Validation with the simulated dataset based on standard atmospheric profiles reveals that the improved mono-window algorithm for IRS4 obtains high accuracy for LST retrieval,with the mean absolute error (MAE) and root mean square error (RMSE) being 1.0 K and 1.1 K,respectively. Numerical experiment with the radiosonde profile acquired in Beijing in winter demonstrates that the improved mono-window algorithm exhibits excellent ability for LST retrieval,with MAE and RMSE being 0.6 K and 0.6 K,respectively. Further application in Qinghai Lake and comparison with the Moderate-Resolution Imaging Spectroradiometer (MODIS) LST product suggest that the improved mono-window algorithm is applicable and feasible in actual conditions.

ZHOU Ji, ZHAN Wenfeng, HU Deyong, ZHAO Xiang. Improvement of Mono-window Algorithm for Retrieving Land Surface Temperature from HJ-1B Satellite Data[J]. Chinese Geographical Science, 2010, 20(2): 123-131. doi: 10.1007/s11769-010-0123-z
Citation: ZHOU Ji, ZHAN Wenfeng, HU Deyong, ZHAO Xiang. Improvement of Mono-window Algorithm for Retrieving Land Surface Temperature from HJ-1B Satellite Data[J]. Chinese Geographical Science, 2010, 20(2): 123-131. doi: 10.1007/s11769-010-0123-z
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