Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
Resumen:
ABSTRACT.- The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the water level in bays usually differ between farms even when managed using the same irrigation technique. This study aimed to investigate the influence of standing water levels (from 0 to 20 cm) and the time of image acquisition on a set of N-sensitive VIs to identify those less affected by these factors. The experiment was conducted using a split-plot experimental design with two side-by-side bays (main plots) where rice was grown ponded for most of the growing season and aerobically (not permanently ponded), each with four fertilization N rates. © 2025 by the authors. Licensee MDPI, Basel, Switzerland.
| 2025 | |
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Vegetation indices Unmanned aerial vehicle Irrigation N uptake Remote sensing SISTEMA ARROZ-GANADERÍA - INIA |
|
| Inglés | |
| Instituto Nacional de Investigación Agropecuaria | |
| AINFO | |
| https://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169 | |
| Acceso abierto |
| _version_ | 1856772331123245056 |
|---|---|
| author | CARRACELAS, G. |
| author2 | HORNBUCKLE, J. BALLESTER, C. |
| author2_role | author author |
| author_facet | CARRACELAS, G. HORNBUCKLE, J. BALLESTER, C. |
| author_role | author |
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| collection | AINFO |
| dc.creator.none.fl_str_mv | CARRACELAS, G. HORNBUCKLE, J. BALLESTER, C. |
| dc.date.accessioned.none.fl_str_mv | 2025-06-23T18:49:44Z |
| dc.date.available.none.fl_str_mv | 2025-06-23T18:49:44Z |
| dc.date.issued.none.fl_str_mv | 2025 |
| dc.date.updated.none.fl_str_mv | 2025-06-23T18:49:44Z |
| dc.description.abstract.none.fl_txt_mv | ABSTRACT.- The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the water level in bays usually differ between farms even when managed using the same irrigation technique. This study aimed to investigate the influence of standing water levels (from 0 to 20 cm) and the time of image acquisition on a set of N-sensitive VIs to identify those less affected by these factors. The experiment was conducted using a split-plot experimental design with two side-by-side bays (main plots) where rice was grown ponded for most of the growing season and aerobically (not permanently ponded), each with four fertilization N rates. © 2025 by the authors. Licensee MDPI, Basel, Switzerland. |
| dc.identifier.none.fl_str_mv | https://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.es.fl_str_mv | Acceso abierto |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:AINFO instname:Instituto Nacional de Investigación Agropecuaria instacron:Instituto Nacional de Investigación Agropecuaria |
| dc.subject.none.fl_str_mv | Vegetation indices Unmanned aerial vehicle Irrigation N uptake Remote sensing SISTEMA ARROZ-GANADERÍA - INIA |
| dc.title.none.fl_str_mv | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. |
| dc.type.none.fl_str_mv | Article PublishedVersion info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | ABSTRACT.- The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the water level in bays usually differ between farms even when managed using the same irrigation technique. This study aimed to investigate the influence of standing water levels (from 0 to 20 cm) and the time of image acquisition on a set of N-sensitive VIs to identify those less affected by these factors. The experiment was conducted using a split-plot experimental design with two side-by-side bays (main plots) where rice was grown ponded for most of the growing season and aerobically (not permanently ponded), each with four fertilization N rates. © 2025 by the authors. Licensee MDPI, Basel, Switzerland. |
| eu_rights_str_mv | openAccess |
| format | article |
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| instacron_str | Instituto Nacional de Investigación Agropecuaria |
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| language | eng |
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| publishDate | 2025 |
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| repository.mail.fl_str_mv | lorrego@inia.org.uy |
| repository.name.fl_str_mv | AINFO - Instituto Nacional de Investigación Agropecuaria |
| repository_id_str | |
| rights_invalid_str_mv | Acceso abierto |
| spelling | 2025-06-23T18:49:44Z2025-06-23T18:49:44Z20252025-06-23T18:49:44Zhttps://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169ABSTRACT.- The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the water level in bays usually differ between farms even when managed using the same irrigation technique. This study aimed to investigate the influence of standing water levels (from 0 to 20 cm) and the time of image acquisition on a set of N-sensitive VIs to identify those less affected by these factors. The experiment was conducted using a split-plot experimental design with two side-by-side bays (main plots) where rice was grown ponded for most of the growing season and aerobically (not permanently ponded), each with four fertilization N rates. © 2025 by the authors. Licensee MDPI, Basel, Switzerland.https://hdl.handle.net/20.500.12381/5082enenginfo:eu-repo/semantics/openAccessAcceso abiertoVegetation indicesUnmanned aerial vehicleIrrigationN uptakeRemote sensingSISTEMA ARROZ-GANADERÍA - INIAImpact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.ArticlePublishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaCARRACELAS, G.HORNBUCKLE, J.BALLESTER, C.SWORDsword-2025-06-23T15:49:44.original.xmlOriginal SWORD entry documentapplication/octet-stream2075https://redi.anii.org.uy/jspui/bitstream/20.500.12381/5082/1/sword-2025-06-23T15%3a49%3a44.original.xml5fbba7778e0e074867975a4f5a483965MD5120.500.12381/50822026-02-10 15:54:04.409oai:redi.anii.org.uy:20.500.12381/5082Institucionalhttps://ainfo.inia.uy/Organismo científico-tecnológicohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2026-02-10T18:54:04AINFO - Instituto Nacional de Investigación Agropecuariafalse |
| spellingShingle | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. CARRACELAS, G. Vegetation indices Unmanned aerial vehicle Irrigation N uptake Remote sensing SISTEMA ARROZ-GANADERÍA - INIA |
| status_str | publishedVersion |
| title | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. |
| title_full | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. |
| title_fullStr | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. |
| title_full_unstemmed | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. |
| title_short | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. |
| title_sort | Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring. |
| topic | Vegetation indices Unmanned aerial vehicle Irrigation N uptake Remote sensing SISTEMA ARROZ-GANADERÍA - INIA |
| url | https://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169 |