Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices
Rice cultivation is one of the largest users of the world’s freshwater resources. The contribution of remote sensing observations for identifying the conditions under which rice is cultivated, particularly throughout the growing season, can be instrumental for water, and crop management. Data from d...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Remote Sensing |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frsen.2021.762093/full |
| _version_ | 1828080829655416832 |
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| author | Isabel Pedroso de Lima Isabel Pedroso de Lima Romeu Gerardo Jorge Romeu Gerardo Jorge João L. M. P de Lima João L. M. P de Lima |
| author_facet | Isabel Pedroso de Lima Isabel Pedroso de Lima Romeu Gerardo Jorge Romeu Gerardo Jorge João L. M. P de Lima João L. M. P de Lima |
| author_sort | Isabel Pedroso de Lima |
| collection | DOAJ |
| description | Rice cultivation is one of the largest users of the world’s freshwater resources. The contribution of remote sensing observations for identifying the conditions under which rice is cultivated, particularly throughout the growing season, can be instrumental for water, and crop management. Data from different remote sensing platforms are being used in agriculture, namely to detecting anomalies in crops. This is attempted by calculating vegetation indices (VI) that are based on different vegetation reflectance bands, especially those that rely on the Red, Green, and near-infrared bands, such as the Normalised Difference Vegetation Index (NDVI) or the Green Normalised Difference Vegetation Index (GNDVI). However, particular features of different crops and growing conditions justify that some indices are more adequate than others on a case-to-case basis, according to the different vegetation’s spectral signatures. In recent years, a vegetation index related to the Red Edge reflectance band, the Normalised Difference Red Edge (NDRE) has shown potential to be used as a tool to support agricultural management practices; this edge band, by taking a transition position, is very sensitive to changes in vegetation properties. This work, focusing on the rice crop and the application of different irrigation practices, explores the capability of several VIs calculated from different reflectance bands to detect variability, at the plot scale, in rice cultivation in the Lower Mondego region (Portugal). The remote sensing data were obtained from satellite Sentinel-2A imagery and using a multispectral camera mounted on an Unmanned Aerial System (UAS). By comparing several vegetation indices, we found that NDRE is particularly useful for identifying non-homogeneities in irrigation and crop growth in rice fields. Since few satellite sensors are sensible in the Red Edge band and none has the spatial resolution offered by UAS, this study explores the potential of UAS to be used as a useful support information tool in rice farming and precision agriculture, regarding irrigation, and agronomic management. |
| first_indexed | 2024-04-11T03:25:27Z |
| format | Article |
| id | doaj.art-16d708d6bef9459c8f873033933f964d |
| institution | Directory Open Access Journal |
| issn | 2673-6187 |
| language | English |
| last_indexed | 2024-04-11T03:25:27Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Remote Sensing |
| spelling | doaj.art-16d708d6bef9459c8f873033933f964d2023-01-02T07:32:52ZengFrontiers Media S.A.Frontiers in Remote Sensing2673-61872021-10-01210.3389/frsen.2021.762093762093Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management PracticesIsabel Pedroso de Lima0Isabel Pedroso de Lima1Romeu Gerardo Jorge2Romeu Gerardo Jorge3João L. M. P de Lima4João L. M. P de Lima5MARE—Marine and Environmental Sciences Centre, University of Coimbra, Coimbra, PortugalDepartment of Civil Engineering, Faculty of Sciences and Technology, University of Coimbra, Coimbra, PortugalMARE—Marine and Environmental Sciences Centre, University of Coimbra, Coimbra, PortugalDepartment of Civil Engineering, Faculty of Sciences and Technology, University of Coimbra, Coimbra, PortugalMARE—Marine and Environmental Sciences Centre, University of Coimbra, Coimbra, PortugalDepartment of Civil Engineering, Faculty of Sciences and Technology, University of Coimbra, Coimbra, PortugalRice cultivation is one of the largest users of the world’s freshwater resources. The contribution of remote sensing observations for identifying the conditions under which rice is cultivated, particularly throughout the growing season, can be instrumental for water, and crop management. Data from different remote sensing platforms are being used in agriculture, namely to detecting anomalies in crops. This is attempted by calculating vegetation indices (VI) that are based on different vegetation reflectance bands, especially those that rely on the Red, Green, and near-infrared bands, such as the Normalised Difference Vegetation Index (NDVI) or the Green Normalised Difference Vegetation Index (GNDVI). However, particular features of different crops and growing conditions justify that some indices are more adequate than others on a case-to-case basis, according to the different vegetation’s spectral signatures. In recent years, a vegetation index related to the Red Edge reflectance band, the Normalised Difference Red Edge (NDRE) has shown potential to be used as a tool to support agricultural management practices; this edge band, by taking a transition position, is very sensitive to changes in vegetation properties. This work, focusing on the rice crop and the application of different irrigation practices, explores the capability of several VIs calculated from different reflectance bands to detect variability, at the plot scale, in rice cultivation in the Lower Mondego region (Portugal). The remote sensing data were obtained from satellite Sentinel-2A imagery and using a multispectral camera mounted on an Unmanned Aerial System (UAS). By comparing several vegetation indices, we found that NDRE is particularly useful for identifying non-homogeneities in irrigation and crop growth in rice fields. Since few satellite sensors are sensible in the Red Edge band and none has the spatial resolution offered by UAS, this study explores the potential of UAS to be used as a useful support information tool in rice farming and precision agriculture, regarding irrigation, and agronomic management.https://www.frontiersin.org/articles/10.3389/frsen.2021.762093/fullUAS (unmanned aerial system)vegetation indicesRed edge bandprecision agriculturerice irrigationsatellite images |
| spellingShingle | Isabel Pedroso de Lima Isabel Pedroso de Lima Romeu Gerardo Jorge Romeu Gerardo Jorge João L. M. P de Lima João L. M. P de Lima Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices Frontiers in Remote Sensing UAS (unmanned aerial system) vegetation indices Red edge band precision agriculture rice irrigation satellite images |
| title | Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices |
| title_full | Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices |
| title_fullStr | Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices |
| title_full_unstemmed | Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices |
| title_short | Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices |
| title_sort | remote sensing monitoring of rice fields towards assessing water saving irrigation management practices |
| topic | UAS (unmanned aerial system) vegetation indices Red edge band precision agriculture rice irrigation satellite images |
| url | https://www.frontiersin.org/articles/10.3389/frsen.2021.762093/full |
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