Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment
Soil moisture is a critical component for Earth science studies, and Synthetic Aperture Radar (SAR) data have high potential for retrieving soil moisture using backscattering models. In this study, polarimetric SAR (PALSAR: Phased Array type L-band Synthetic Aperture Radar) data and polarimetric dec...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/10/10/711 |
| _version_ | 1797514403465134080 |
|---|---|
| author | Saeid Gharechelou Ryutaro Tateishi Josaphat Tetuko Sri Sumantyo Brian Alan Johnson |
| author_facet | Saeid Gharechelou Ryutaro Tateishi Josaphat Tetuko Sri Sumantyo Brian Alan Johnson |
| author_sort | Saeid Gharechelou |
| collection | DOAJ |
| description | Soil moisture is a critical component for Earth science studies, and Synthetic Aperture Radar (SAR) data have high potential for retrieving soil moisture using backscattering models. In this study, polarimetric SAR (PALSAR: Phased Array type L-band Synthetic Aperture Radar) data and polarimetric decompositions including span, entropy/H/alpha, and anisotropy, in combination with surface properties resulting from field and laboratory measurements, are used to categorize the natural surface condition and discriminate the backscatter parameter in the test site for applying the inversion soil moisture retrieval. The work aims to introduce the better of two examined models in the research for soil moisture retrieval over the bare land and sparse vegetation in arid regions. After soil moisture retrieval using the two different models, the results of comparison and validation by field measurement of soil moisture have shown that the Oh model has a more realiable accuracy for soil moisture mapping, although it was very difficult to find the best model due to different characteristics in land cover. It seems the inversion model, with the field observation and polarimetric SAR data, has a good potential for extracting surface natural conditions such as surface roughness and soil moisture; however, over- and under-estimation are observed due to land cover variability. The estimation of accurate roughness and moisture data for each type of land cover can increase the accuracy of the results. |
| first_indexed | 2024-03-10T06:31:08Z |
| format | Article |
| id | doaj.art-d0b937a586354b14b0b59ddd9779cf7f |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T06:31:08Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-d0b937a586354b14b0b59ddd9779cf7f2023-11-22T18:30:23ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-10-01101071110.3390/ijgi10100711Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid EnvironmentSaeid Gharechelou0Ryutaro Tateishi1Josaphat Tetuko Sri Sumantyo2Brian Alan Johnson3Faculty of Civil Engineering, Shahrood University of Technology, Shahrood 3619995161, IranCenter for Environmental Remote Sensing (CEReS), Chiba University, Chiba 263-8522, JapanCenter for Environmental Remote Sensing (CEReS), Chiba University, Chiba 263-8522, JapanNatural Resources and Ecosystem Services Area, Institute for Global Environmental Strategies (IGES), Hayama 240-0115, JapanSoil moisture is a critical component for Earth science studies, and Synthetic Aperture Radar (SAR) data have high potential for retrieving soil moisture using backscattering models. In this study, polarimetric SAR (PALSAR: Phased Array type L-band Synthetic Aperture Radar) data and polarimetric decompositions including span, entropy/H/alpha, and anisotropy, in combination with surface properties resulting from field and laboratory measurements, are used to categorize the natural surface condition and discriminate the backscatter parameter in the test site for applying the inversion soil moisture retrieval. The work aims to introduce the better of two examined models in the research for soil moisture retrieval over the bare land and sparse vegetation in arid regions. After soil moisture retrieval using the two different models, the results of comparison and validation by field measurement of soil moisture have shown that the Oh model has a more realiable accuracy for soil moisture mapping, although it was very difficult to find the best model due to different characteristics in land cover. It seems the inversion model, with the field observation and polarimetric SAR data, has a good potential for extracting surface natural conditions such as surface roughness and soil moisture; however, over- and under-estimation are observed due to land cover variability. The estimation of accurate roughness and moisture data for each type of land cover can increase the accuracy of the results.https://www.mdpi.com/2220-9964/10/10/711soil moisturepolarimetric SAR dataOhDuboisALOS |
| spellingShingle | Saeid Gharechelou Ryutaro Tateishi Josaphat Tetuko Sri Sumantyo Brian Alan Johnson Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment ISPRS International Journal of Geo-Information soil moisture polarimetric SAR data Oh Dubois ALOS |
| title | Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment |
| title_full | Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment |
| title_fullStr | Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment |
| title_full_unstemmed | Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment |
| title_short | Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment |
| title_sort | soil moisture retrieval using polarimetric sar data and experimental observations in an arid environment |
| topic | soil moisture polarimetric SAR data Oh Dubois ALOS |
| url | https://www.mdpi.com/2220-9964/10/10/711 |
| work_keys_str_mv | AT saeidgharechelou soilmoistureretrievalusingpolarimetricsardataandexperimentalobservationsinanaridenvironment AT ryutarotateishi soilmoistureretrievalusingpolarimetricsardataandexperimentalobservationsinanaridenvironment AT josaphattetukosrisumantyo soilmoistureretrievalusingpolarimetricsardataandexperimentalobservationsinanaridenvironment AT brianalanjohnson soilmoistureretrievalusingpolarimetricsardataandexperimentalobservationsinanaridenvironment |