Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level
The aim of this study was to develop and validate a methodology to carry out olive grove inventories based on open data sources and automatic photogrammetric and satellite image analysis techniques. To do so, tools and protocols have been developed that have made it possible to automate the capture...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/12/8/1735 |
| _version_ | 1797440164454203392 |
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| author | Cristina Martínez-Ruedas José Emilio Guerrero-Ginel Elvira Fernández-Ahumada |
| author_facet | Cristina Martínez-Ruedas José Emilio Guerrero-Ginel Elvira Fernández-Ahumada |
| author_sort | Cristina Martínez-Ruedas |
| collection | DOAJ |
| description | The aim of this study was to develop and validate a methodology to carry out olive grove inventories based on open data sources and automatic photogrammetric and satellite image analysis techniques. To do so, tools and protocols have been developed that have made it possible to automate the capture of images of different characteristics and origins, enable the use of open data sources, as well as integrating and metadating them. They can then be used for the development and validation of algorithms that allow for improving the characterization of olive grove surfaces at the plot and cadastral polygon scales. With the proposed system, an inventory of the Andalusian olive grove has been automatically carried out at the level of cadastral polygons and provinces, which has accounted for a total of 1,519,438 hectares and 171,980,593 olive trees. These data have been contrasted with various official statistical sources, thus ensuring their reliability and even identifying some inconsistencies or errors of some sources. Likewise, the capacity of the Sentinel 2 satellite images to estimate the FCC at the cadastral polygon, parcel and 10 × 10 m pixel level has been demonstrated and quantified, as well as the opportunity to carry out inventories with temporal resolutions of approximately up to 5 days. |
| first_indexed | 2024-03-09T12:03:12Z |
| format | Article |
| id | doaj.art-e1ea29cdf6da45fe89b78fbf90e65140 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-09T12:03:12Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-e1ea29cdf6da45fe89b78fbf90e651402023-11-30T23:01:38ZengMDPI AGAgronomy2073-43952022-07-01128173510.3390/agronomy12081735Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon LevelCristina Martínez-Ruedas0José Emilio Guerrero-Ginel1Elvira Fernández-Ahumada2Department of Electronic and Computer Engineering, University of Cordoba, 14014 Cordoba, SpainDepartment of Animal Production, University of Cordoba, 14014 Cordoba, SpainDepartment of Mathematics, University of Cordoba, 14014 Cordoba, SpainThe aim of this study was to develop and validate a methodology to carry out olive grove inventories based on open data sources and automatic photogrammetric and satellite image analysis techniques. To do so, tools and protocols have been developed that have made it possible to automate the capture of images of different characteristics and origins, enable the use of open data sources, as well as integrating and metadating them. They can then be used for the development and validation of algorithms that allow for improving the characterization of olive grove surfaces at the plot and cadastral polygon scales. With the proposed system, an inventory of the Andalusian olive grove has been automatically carried out at the level of cadastral polygons and provinces, which has accounted for a total of 1,519,438 hectares and 171,980,593 olive trees. These data have been contrasted with various official statistical sources, thus ensuring their reliability and even identifying some inconsistencies or errors of some sources. Likewise, the capacity of the Sentinel 2 satellite images to estimate the FCC at the cadastral polygon, parcel and 10 × 10 m pixel level has been demonstrated and quantified, as well as the opportunity to carry out inventories with temporal resolutions of approximately up to 5 days.https://www.mdpi.com/2073-4395/12/8/1735automatic olive inventoriesvisual recognitionopen dataSentinelphotogrammetric |
| spellingShingle | Cristina Martínez-Ruedas José Emilio Guerrero-Ginel Elvira Fernández-Ahumada Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level Agronomy automatic olive inventories visual recognition open data Sentinel photogrammetric |
| title | Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level |
| title_full | Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level |
| title_fullStr | Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level |
| title_full_unstemmed | Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level |
| title_short | Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level |
| title_sort | methodology for the automatic inventory of olive groves at the plot and polygon level |
| topic | automatic olive inventories visual recognition open data Sentinel photogrammetric |
| url | https://www.mdpi.com/2073-4395/12/8/1735 |
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