Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability
Water availability for vegetation use has been associated with the relative amount of water in the plant and is a key factor for modeling variables related to the soil-plant system (e.g., net primary production, drought effects on vegetation). To the best of our knowledge, the integration of spectra...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/17/3371 |
| _version_ | 1797520966141607936 |
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| author | Mauro Ezequiel Holzman Raúl Eduardo Rivas Martín Ignacio Bayala |
| author_facet | Mauro Ezequiel Holzman Raúl Eduardo Rivas Martín Ignacio Bayala |
| author_sort | Mauro Ezequiel Holzman |
| collection | DOAJ |
| description | Water availability for vegetation use has been associated with the relative amount of water in the plant and is a key factor for modeling variables related to the soil-plant system (e.g., net primary production, drought effects on vegetation). To the best of our knowledge, the integration of spectral proxies of vegetation water content (near-infrared (NIR), shortwave-infrared (SWIR) bands) and land surface temperature (LST) for estimation, not only of vegetation water content but also soil water available for the evapotranspiration process requires more analysis. This study aims to assess the relationship between NIR, SWIR reflectance, and LST data as indicators of water availability for crop use. For this purpose, vegetation water content, LST, and spectral reflectance over soybean, corn, and barley were measured in the field and the laboratory. Based on the consistency of satellite data from Moderate-Resolution Imaging Spectroradiometer (MODIS/Aqua) in relation to such measurements, a model is proposed, which can be parameterized from remotely sensed NIR-SWIR/LST scatterplots. The obtained results were tested in the Argentine Pampas, showing coherence with surface processes at regional scale associated with soil water availability. The comparison with soil moisture at different depths (R<sup>2</sup> > 0.7) showed that the method is sensitive to variations in root zone water availability. Given the reliance of the index on just satellite data, it can be pointed that the potential not only for vegetation water stress analyses but also in the context of hydrological modeling as an input of water availability. |
| first_indexed | 2024-03-10T08:04:58Z |
| format | Article |
| id | doaj.art-72732a08207b4065b3a8c716d7648b7e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T08:04:58Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-72732a08207b4065b3a8c716d7648b7e2023-11-22T11:07:54ZengMDPI AGRemote Sensing2072-42922021-08-011317337110.3390/rs13173371Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water AvailabilityMauro Ezequiel Holzman0Raúl Eduardo Rivas1Martín Ignacio Bayala2Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Hidrología de Llanuras “Dr. Eduardo Jorge Usunoff” (IHLLA), Rep. Italia 780, Azul B7300, ArgentinaComisión de Investigaciones Científicas de la Provincia de Buenos Aires, Instituto de Hidrología de Llanuras “Dr. Eduardo Jorge Usunoff” (IHLLA), Tandil B7000, ArgentinaComisión de Investigaciones Científicas de la Provincia de Buenos Aires, Instituto de Hidrología de Llanuras “Dr. Eduardo Jorge Usunoff” (IHLLA), Tandil B7000, ArgentinaWater availability for vegetation use has been associated with the relative amount of water in the plant and is a key factor for modeling variables related to the soil-plant system (e.g., net primary production, drought effects on vegetation). To the best of our knowledge, the integration of spectral proxies of vegetation water content (near-infrared (NIR), shortwave-infrared (SWIR) bands) and land surface temperature (LST) for estimation, not only of vegetation water content but also soil water available for the evapotranspiration process requires more analysis. This study aims to assess the relationship between NIR, SWIR reflectance, and LST data as indicators of water availability for crop use. For this purpose, vegetation water content, LST, and spectral reflectance over soybean, corn, and barley were measured in the field and the laboratory. Based on the consistency of satellite data from Moderate-Resolution Imaging Spectroradiometer (MODIS/Aqua) in relation to such measurements, a model is proposed, which can be parameterized from remotely sensed NIR-SWIR/LST scatterplots. The obtained results were tested in the Argentine Pampas, showing coherence with surface processes at regional scale associated with soil water availability. The comparison with soil moisture at different depths (R<sup>2</sup> > 0.7) showed that the method is sensitive to variations in root zone water availability. Given the reliance of the index on just satellite data, it can be pointed that the potential not only for vegetation water stress analyses but also in the context of hydrological modeling as an input of water availability.https://www.mdpi.com/2072-4292/13/17/3371energy balancewater vegetation statusoptical/thermaldrought |
| spellingShingle | Mauro Ezequiel Holzman Raúl Eduardo Rivas Martín Ignacio Bayala Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability Remote Sensing energy balance water vegetation status optical/thermal drought |
| title | Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability |
| title_full | Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability |
| title_fullStr | Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability |
| title_full_unstemmed | Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability |
| title_short | Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability |
| title_sort | relationship between tir and nir swir as indicator of vegetation water availability |
| topic | energy balance water vegetation status optical/thermal drought |
| url | https://www.mdpi.com/2072-4292/13/17/3371 |
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