Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province)
The aim of this study was to evaluate the effectiveness of estimated soil moisture data obtained from the GLDAS, ESA and SMAP sensor databases with the observed data of the Silakhor Agricultural Meteorological Station to investigate the spatial and temporal variation of soil moisture in Lorestan pro...
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| Format: | Article |
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Iranian Rainwater Catchment Systems Association
2023-12-01
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| Series: | محیط زیست و مهندسی آب |
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| Online Access: | http://www.jewe.ir/article_165881_aff632c1b21670f3f21d2e8997df5674.pdf |
| _version_ | 1827252475034337280 |
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| author | Abdolnabi Abdeh kolahchi Morteza Miri Mehran Zand Jahangir Porhemmat |
| author_facet | Abdolnabi Abdeh kolahchi Morteza Miri Mehran Zand Jahangir Porhemmat |
| author_sort | Abdolnabi Abdeh kolahchi |
| collection | DOAJ |
| description | The aim of this study was to evaluate the effectiveness of estimated soil moisture data obtained from the GLDAS, ESA and SMAP sensor databases with the observed data of the Silakhor Agricultural Meteorological Station to investigate the spatial and temporal variation of soil moisture in Lorestan province. The data used in this research include the soil moisture data of the Silakhor station, GLDAS database, ESA center and SMAP sensor products during a six-year period (2016-2021). Estimated soil moisture data were evaluated against observed data using R2, RMSE and MAD statistics. The results showed that the SMAP satellite is associated with underestimation and the GLDAS model and the ESA satellite are associated with overestimation of soil moisture. However, in general, the estimated soil moisture values of the three mentioned sources have good accuracy. The value of the correlation coefficient between observed soil moisture data with soil moisture data obtained from SMAP and ESA satellites and GLDAS model was obtained as 0.62, 0.59 and 0.72 respectively, and in the combined case (SMAP, ESA and GLDAS) the value of correlation coefficient was increased to 0.77, therefore, it is suggested to use combine data to use soil moisture estimation. |
| first_indexed | 2024-03-08T18:40:57Z |
| format | Article |
| id | doaj.art-778cd95f626e440a8b0915864725a571 |
| institution | Directory Open Access Journal |
| issn | 2476-3683 |
| language | fas |
| last_indexed | 2025-03-22T00:35:55Z |
| publishDate | 2023-12-01 |
| publisher | Iranian Rainwater Catchment Systems Association |
| record_format | Article |
| series | محیط زیست و مهندسی آب |
| spelling | doaj.art-778cd95f626e440a8b0915864725a5712024-05-14T11:30:40ZfasIranian Rainwater Catchment Systems Associationمحیط زیست و مهندسی آب2476-36832023-12-019454856210.22034/ewe.2023.367471.1819165881Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province)Abdolnabi Abdeh kolahchi0Morteza Miri1Mehran Zand2Jahangir Porhemmat3Assist. Professor., Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization, Tehran, IranAssist. Professor, Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization, Tehran, IranAssoc. Professor., Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization, Tehran, IranProfessor, Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization, Tehran, IranThe aim of this study was to evaluate the effectiveness of estimated soil moisture data obtained from the GLDAS, ESA and SMAP sensor databases with the observed data of the Silakhor Agricultural Meteorological Station to investigate the spatial and temporal variation of soil moisture in Lorestan province. The data used in this research include the soil moisture data of the Silakhor station, GLDAS database, ESA center and SMAP sensor products during a six-year period (2016-2021). Estimated soil moisture data were evaluated against observed data using R2, RMSE and MAD statistics. The results showed that the SMAP satellite is associated with underestimation and the GLDAS model and the ESA satellite are associated with overestimation of soil moisture. However, in general, the estimated soil moisture values of the three mentioned sources have good accuracy. The value of the correlation coefficient between observed soil moisture data with soil moisture data obtained from SMAP and ESA satellites and GLDAS model was obtained as 0.62, 0.59 and 0.72 respectively, and in the combined case (SMAP, ESA and GLDAS) the value of correlation coefficient was increased to 0.77, therefore, it is suggested to use combine data to use soil moisture estimation.http://www.jewe.ir/article_165881_aff632c1b21670f3f21d2e8997df5674.pdfesagldassmapsoil moisture |
| spellingShingle | Abdolnabi Abdeh kolahchi Morteza Miri Mehran Zand Jahangir Porhemmat Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province) محیط زیست و مهندسی آب esa gldas smap soil moisture |
| title | Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province) |
| title_full | Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province) |
| title_fullStr | Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province) |
| title_full_unstemmed | Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province) |
| title_short | Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province) |
| title_sort | comparative evaluation of gldas esa cci sm and smap soil moisture with in situ measurements case study lorestan province |
| topic | esa gldas smap soil moisture |
| url | http://www.jewe.ir/article_165881_aff632c1b21670f3f21d2e8997df5674.pdf |
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