A Soil Moisture Spatial Downscaling Method for Smap Using the Optical Trapezoid Model

Yanmei Zhong, Zushuai Wei, Andreas Colliander, Jeffrey P. Walker

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

High-resolution soil moisture plays an important role in irrigation scheduling and agriculture management. A spatial downscaling method based on the OPtical TRApezoid Model (OPTRAM) was proposed to retrieve soil moisture at 500 m spatial resolution by combining SMAP and MODIS observations. This method is less sensitive to cloud cover than the land surface temperature (LST)-based algorithms. The performance of this method was evaluated using soil moisture data derived from aircraft observations of L-band brightness temperature and compared to a typical LST-based downscaling method known as DisPATCh (DISaggregation based on Physical And Theoretical scale Change). The RMSE (Root Mean Squared Error) of the retrieved soil moisture was 0.037 m3/m3 for the proposed method, which is lower than the 0.064 m3/m3 achieved for the DisPATCh algorithm.

Original languageEnglish
Title of host publicationIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages5084-5086
Number of pages3
ISBN (Electronic)9798350360325
DOIs
Publication statusPublished - 2024
EventIEEE International Geoscience and Remote Sensing Symposium 2024 - Athens, Greece
Duration: 7 Jul 202412 Jul 2024
https://ieeexplore.ieee.org/xpl/conhome/10640349/proceeding (Proceedings)
https://www.2024.ieeeigarss.org (Website)

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium 2024
Abbreviated titleIGARSS 2024
Country/TerritoryGreece
CityAthens
Period7/07/2412/07/24
Internet address

Keywords

  • DisPATCh
  • downscaling
  • MODIS
  • OPTRAM
  • Soil moisture

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