Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard
In viticulture, detailed spatial information about actual evapotranspiration (ET<sub>a</sub>) and vine water status within a vineyard may be of particular utility when applying site-specific, precision irrigation management. Over recent decades, extensive research has been carried out in...
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MDPI AG
2020-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/14/2299 |
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| author | Joaquim Bellvert Christian Jofre-Ĉekalović Ana Pelechá Mercè Mata Hector Nieto |
| author_facet | Joaquim Bellvert Christian Jofre-Ĉekalović Ana Pelechá Mercè Mata Hector Nieto |
| author_sort | Joaquim Bellvert |
| collection | DOAJ |
| description | In viticulture, detailed spatial information about actual evapotranspiration (ET<sub>a</sub>) and vine water status within a vineyard may be of particular utility when applying site-specific, precision irrigation management. Over recent decades, extensive research has been carried out in the use of remote sensing energy balance models to estimate and monitor ET<sub>a</sub> at the field level. However, one of the major limitations remains the coarse spatial resolution in the thermal infrared (TIR) domain. In this context, the recent advent of the Sentinel missions of the European Space Agency (ESA) has greatly improved the possibility of monitoring crop parameters and estimating ET<sub>a</sub> at higher temporal and spatial resolutions. In order to bridge the gap between the coarse-resolution Sentinel-3 thermal and the fine-resolution Sentinel-2 shortwave data, sharpening techniques have been used to downscale the Sentinel-3 land surface temperature (LST) from 1 km to 20 m. However, the accurate estimates of high-resolution LST through sharpening techniques are still unclear, particularly when intended to be used for detecting crop water stress. The goal of this study was to assess the feasibility of the two-source energy balance model (TSEB) using sharpened LST images from Sentinel-2 and Sentinel-3 (TSEB-PT<sub>S2+3</sub>) to estimate the spatio-temporal variability of actual transpiration (T) and water stress in a vineyard. T and crop water stress index (CWSI) estimates were evaluated against a vine water consumption model and regressed with in situ stem water potential (Ψ<sub>stem</sub>). Two different TSEB approaches, using very high-resolution airborne thermal imagery, were also included in the analysis as benchmarks for TSEB-PT<sub>S2+3</sub>. One of them uses aggregated TIR data at the vine+inter-row level (TSEB-PT<sub>airb</sub>), while the other is based on a contextual method that directly, although separately, retrieves soil and canopy temperatures (TSEB-2T). The results obtained demonstrated that when comparing airborne T<sub>rad</sub> and sharpened S2+3 LST, the latter tend to be underestimated. This complicates the use of TSEB-PT<sub>S2+3</sub> to detect crop water stress. TSEB-2T appeared to outperform all the other methods. This was shown by a higher <i>R</i><sup>2</sup> and slightly lower RMSD when compared with modelled T. In addition, regressions between T and CWSI-2T with Ψ<sub>stem</sub> also produced the highest <i>R</i><sup>2</sup>. |
| first_indexed | 2024-03-10T18:23:42Z |
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| id | doaj.art-65d0e02a36db4b82afca1d299e3ba1c3 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T18:23:42Z |
| publishDate | 2020-07-01 |
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| series | Remote Sensing |
| spelling | doaj.art-65d0e02a36db4b82afca1d299e3ba1c32023-11-20T07:08:28ZengMDPI AGRemote Sensing2072-42922020-07-011214229910.3390/rs12142299Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a VineyardJoaquim Bellvert0Christian Jofre-Ĉekalović1Ana Pelechá2Mercè Mata3Hector Nieto4Efficient Use of Water in Agriculture Program, Institute of AgriFood, Research and Technology (IRTA), Parc Científic I Tecnològic Agroalimentari de Gardeny (PCiTAL), Fruitcentre, 25003 Lleida, SpainEfficient Use of Water in Agriculture Program, Institute of AgriFood, Research and Technology (IRTA), Parc Científic I Tecnològic Agroalimentari de Gardeny (PCiTAL), Fruitcentre, 25003 Lleida, SpainEfficient Use of Water in Agriculture Program, Institute of AgriFood, Research and Technology (IRTA), Parc Científic I Tecnològic Agroalimentari de Gardeny (PCiTAL), Fruitcentre, 25003 Lleida, SpainEfficient Use of Water in Agriculture Program, Institute of AgriFood, Research and Technology (IRTA), Parc Científic I Tecnològic Agroalimentari de Gardeny (PCiTAL), Fruitcentre, 25003 Lleida, SpainCOMPLUTIG, Complutum Tecnologías de la Información Geográfica S.L. C/ Colegios 2, 28801, Alcalá de Henares, 28015 Madrid, SpainIn viticulture, detailed spatial information about actual evapotranspiration (ET<sub>a</sub>) and vine water status within a vineyard may be of particular utility when applying site-specific, precision irrigation management. Over recent decades, extensive research has been carried out in the use of remote sensing energy balance models to estimate and monitor ET<sub>a</sub> at the field level. However, one of the major limitations remains the coarse spatial resolution in the thermal infrared (TIR) domain. In this context, the recent advent of the Sentinel missions of the European Space Agency (ESA) has greatly improved the possibility of monitoring crop parameters and estimating ET<sub>a</sub> at higher temporal and spatial resolutions. In order to bridge the gap between the coarse-resolution Sentinel-3 thermal and the fine-resolution Sentinel-2 shortwave data, sharpening techniques have been used to downscale the Sentinel-3 land surface temperature (LST) from 1 km to 20 m. However, the accurate estimates of high-resolution LST through sharpening techniques are still unclear, particularly when intended to be used for detecting crop water stress. The goal of this study was to assess the feasibility of the two-source energy balance model (TSEB) using sharpened LST images from Sentinel-2 and Sentinel-3 (TSEB-PT<sub>S2+3</sub>) to estimate the spatio-temporal variability of actual transpiration (T) and water stress in a vineyard. T and crop water stress index (CWSI) estimates were evaluated against a vine water consumption model and regressed with in situ stem water potential (Ψ<sub>stem</sub>). Two different TSEB approaches, using very high-resolution airborne thermal imagery, were also included in the analysis as benchmarks for TSEB-PT<sub>S2+3</sub>. One of them uses aggregated TIR data at the vine+inter-row level (TSEB-PT<sub>airb</sub>), while the other is based on a contextual method that directly, although separately, retrieves soil and canopy temperatures (TSEB-2T). The results obtained demonstrated that when comparing airborne T<sub>rad</sub> and sharpened S2+3 LST, the latter tend to be underestimated. This complicates the use of TSEB-PT<sub>S2+3</sub> to detect crop water stress. TSEB-2T appeared to outperform all the other methods. This was shown by a higher <i>R</i><sup>2</sup> and slightly lower RMSD when compared with modelled T. In addition, regressions between T and CWSI-2T with Ψ<sub>stem</sub> also produced the highest <i>R</i><sup>2</sup>.https://www.mdpi.com/2072-4292/12/14/2299evapotranspirationTSEBSentinel-2Sentinel-3crop water stress indexvine water status |
| spellingShingle | Joaquim Bellvert Christian Jofre-Ĉekalović Ana Pelechá Mercè Mata Hector Nieto Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard Remote Sensing evapotranspiration TSEB Sentinel-2 Sentinel-3 crop water stress index vine water status |
| title | Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard |
| title_full | Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard |
| title_fullStr | Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard |
| title_full_unstemmed | Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard |
| title_short | Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard |
| title_sort | feasibility of using the two source energy balance model tseb with sentinel 2 and sentinel 3 images to analyze the spatio temporal variability of vine water status in a vineyard |
| topic | evapotranspiration TSEB Sentinel-2 Sentinel-3 crop water stress index vine water status |
| url | https://www.mdpi.com/2072-4292/12/14/2299 |
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