Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations
Surface soil moisture (SSM) is one of the factors affecting plant growth. Methods involving direct soil moisture measurement in the field or requiring laboratory tests are commonly used. These methods, however, are laborious and time-consuming and often give only point-by-point results. In contrast,...
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MDPI AG
2023-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/23/5576 |
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| author | Tomasz Stańczyk Wiesława Kasperska-Wołowicz Jan Szatyłowicz Tomasz Gnatowski Ewa Papierowska |
| author_facet | Tomasz Stańczyk Wiesława Kasperska-Wołowicz Jan Szatyłowicz Tomasz Gnatowski Ewa Papierowska |
| author_sort | Tomasz Stańczyk |
| collection | DOAJ |
| description | Surface soil moisture (SSM) is one of the factors affecting plant growth. Methods involving direct soil moisture measurement in the field or requiring laboratory tests are commonly used. These methods, however, are laborious and time-consuming and often give only point-by-point results. In contrast, SSM can vary across a field due to uneven precipitation, soil variability, etc. An alternative is using satellite data, for example, optical data from Sentinel-2 (S2). The main objective of this study was to assess the accuracy of SSM determination based on S2 data versus standard measurement techniques in three different agricultural areas (with irrigation and drainage systems). In the field, we measured SSM manually using non-destructive techniques. Based on S2 data, we estimated SSM using the optical trapezoid model (OPTRAM) and calculated eighteen vegetation indices. Using the OPTRAM model gave a high SSM estimating accuracy (R<sup>2</sup> = 0.67, RMSE = 0.06). The use of soil porosity in the OPTRAM model significantly improved the results. Among the vegetation indices, at the NDVI ≤ 0.2, the highest value of R<sup>2</sup> was obtained for the STR to OPTRAM index, while at the NDVI > 0.2, the shadow index had the highest R<sup>2</sup> comparable with OPTRAM. |
| first_indexed | 2024-03-09T01:43:15Z |
| format | Article |
| id | doaj.art-9e40feb1de154af093b402ada42390cf |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T01:43:15Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9e40feb1de154af093b402ada42390cf2023-12-08T15:25:07ZengMDPI AGRemote Sensing2072-42922023-11-011523557610.3390/rs15235576Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 ObservationsTomasz Stańczyk0Wiesława Kasperska-Wołowicz1Jan Szatyłowicz2Tomasz Gnatowski3Ewa Papierowska4Department of Hydrology, Meteorology and Water Management, Institute of Environmental Engineering, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166, 02-787 Warsaw, PolandInstitute of Technology and Life Sciences—National Research Institute, Falenty, Hrabska 3, 05-090 Raszyn, PolandDepartment of Environmental Development, Institute of Environmental Engineering, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166, 02-787 Warsaw, PolandDepartment of Environmental Development, Institute of Environmental Engineering, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166, 02-787 Warsaw, PolandWater Centre, Warsaw University of Life Sciences—SGGW, Jana Ciszewskiego 6, 02-766 Warsaw, PolandSurface soil moisture (SSM) is one of the factors affecting plant growth. Methods involving direct soil moisture measurement in the field or requiring laboratory tests are commonly used. These methods, however, are laborious and time-consuming and often give only point-by-point results. In contrast, SSM can vary across a field due to uneven precipitation, soil variability, etc. An alternative is using satellite data, for example, optical data from Sentinel-2 (S2). The main objective of this study was to assess the accuracy of SSM determination based on S2 data versus standard measurement techniques in three different agricultural areas (with irrigation and drainage systems). In the field, we measured SSM manually using non-destructive techniques. Based on S2 data, we estimated SSM using the optical trapezoid model (OPTRAM) and calculated eighteen vegetation indices. Using the OPTRAM model gave a high SSM estimating accuracy (R<sup>2</sup> = 0.67, RMSE = 0.06). The use of soil porosity in the OPTRAM model significantly improved the results. Among the vegetation indices, at the NDVI ≤ 0.2, the highest value of R<sup>2</sup> was obtained for the STR to OPTRAM index, while at the NDVI > 0.2, the shadow index had the highest R<sup>2</sup> comparable with OPTRAM.https://www.mdpi.com/2072-4292/15/23/5576surface soil moistureOPTRAMSentinel-2irrigation/drainage sites |
| spellingShingle | Tomasz Stańczyk Wiesława Kasperska-Wołowicz Jan Szatyłowicz Tomasz Gnatowski Ewa Papierowska Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations Remote Sensing surface soil moisture OPTRAM Sentinel-2 irrigation/drainage sites |
| title | Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations |
| title_full | Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations |
| title_fullStr | Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations |
| title_full_unstemmed | Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations |
| title_short | Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations |
| title_sort | surface soil moisture determination of irrigated and drained agricultural lands with the optram method and sentinel 2 observations |
| topic | surface soil moisture OPTRAM Sentinel-2 irrigation/drainage sites |
| url | https://www.mdpi.com/2072-4292/15/23/5576 |
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