Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems
Cereal crops play a critical role in global food security, but their productivity is increasingly threatened by climate change. This study evaluates the feasibility of using PlanetScope satellite imagery and a UAV equipped with the MicaSense RedEdge multispectral imaging sensor in monitoring winter...
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MDPI AG
2024-11-01
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| Online Access: | https://www.mdpi.com/2072-4292/16/23/4474 |
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| author | Italo Moletto-Lobos Katarzyna Cyran Luciano Orden Silvia Sánchez-Méndez Belen Franch Natacha Kalecinski Francisco J. Andreu-Rodríguez Miguel Á. Mira-Urios José A. Saéz-Tovar Pierre C. Guillevic Raul Moral |
| author_facet | Italo Moletto-Lobos Katarzyna Cyran Luciano Orden Silvia Sánchez-Méndez Belen Franch Natacha Kalecinski Francisco J. Andreu-Rodríguez Miguel Á. Mira-Urios José A. Saéz-Tovar Pierre C. Guillevic Raul Moral |
| author_sort | Italo Moletto-Lobos |
| collection | DOAJ |
| description | Cereal crops play a critical role in global food security, but their productivity is increasingly threatened by climate change. This study evaluates the feasibility of using PlanetScope satellite imagery and a UAV equipped with the MicaSense RedEdge multispectral imaging sensor in monitoring winter wheat under various fertilizer treatments in a Mediterranean climate. Eleven fertilizer treatments, including organic-mineral fertilizer (OMF) pellets, were tested. The results show that conventional inorganic fertilization provided the highest yield (8618 kg ha⁻<sup>1</sup>), while yields from OMF showed a comparable performance to traditional fertilizers, indicating their potential for sustainable agriculture. PlanetScope data demonstrated moderate accuracy in predicting canopy cover (R<sup>2</sup> = 0.68), crop yield (R<sup>2</sup> = 0.54), and grain quality parameters such as protein content (R<sup>2</sup> = 0.49), starch (R<sup>2</sup> = 0.56), and hectoliter weight (R<sup>2</sup> = 0.51). However, its coarser resolution limited its ability to capture finer treatment-induced variability. MicaSense, despite its higher spatial resolution, performed poorly in predicting crop components, with R<sup>2</sup> values below 0.35 for yield and protein content. This study highlights the complementary use of remote sensing technologies to optimize wheat management and support climate-resilient agriculture through the integration of sustainable fertilization strategies. |
| format | Article |
| id | doaj-art-f4f90a97dc0d426583eb363e8d01f5f5 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-f4f90a97dc0d426583eb363e8d01f5f52024-12-13T16:30:58ZengMDPI AGRemote Sensing2072-42922024-11-011623447410.3390/rs16234474Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean AgroecosystemsItalo Moletto-Lobos0Katarzyna Cyran1Luciano Orden2Silvia Sánchez-Méndez3Belen Franch4Natacha Kalecinski5Francisco J. Andreu-Rodríguez6Miguel Á. Mira-Urios7José A. Saéz-Tovar8Pierre C. Guillevic9Raul Moral10Global Change Unit, Image Processing Laboratory, Universitat de Valencia, 46980 Paterna, SpainGlobal Change Unit, Image Processing Laboratory, Universitat de Valencia, 46980 Paterna, SpainInstituto de Investigación e Innovación Agrolimentaria y Agroambiental (CIAGRO-UMH), Universidad Miguel Hernández, Carretera de Carretera de Beniel Km 3.2, 03312 Orihuela, SpainInstituto de Investigación e Innovación Agrolimentaria y Agroambiental (CIAGRO-UMH), Universidad Miguel Hernández, Carretera de Carretera de Beniel Km 3.2, 03312 Orihuela, SpainGlobal Change Unit, Image Processing Laboratory, Universitat de Valencia, 46980 Paterna, SpainDepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USAInstituto de Investigación e Innovación Agrolimentaria y Agroambiental (CIAGRO-UMH), Universidad Miguel Hernández, Carretera de Carretera de Beniel Km 3.2, 03312 Orihuela, SpainInstituto de Investigación e Innovación Agrolimentaria y Agroambiental (CIAGRO-UMH), Universidad Miguel Hernández, Carretera de Carretera de Beniel Km 3.2, 03312 Orihuela, SpainInstituto de Investigación e Innovación Agrolimentaria y Agroambiental (CIAGRO-UMH), Universidad Miguel Hernández, Carretera de Carretera de Beniel Km 3.2, 03312 Orihuela, SpainPlanet Labs Germany GmbH, Kurfürstendamm 22, 10719 Berlin, GermanyInstituto de Investigación e Innovación Agrolimentaria y Agroambiental (CIAGRO-UMH), Universidad Miguel Hernández, Carretera de Carretera de Beniel Km 3.2, 03312 Orihuela, SpainCereal crops play a critical role in global food security, but their productivity is increasingly threatened by climate change. This study evaluates the feasibility of using PlanetScope satellite imagery and a UAV equipped with the MicaSense RedEdge multispectral imaging sensor in monitoring winter wheat under various fertilizer treatments in a Mediterranean climate. Eleven fertilizer treatments, including organic-mineral fertilizer (OMF) pellets, were tested. The results show that conventional inorganic fertilization provided the highest yield (8618 kg ha⁻<sup>1</sup>), while yields from OMF showed a comparable performance to traditional fertilizers, indicating their potential for sustainable agriculture. PlanetScope data demonstrated moderate accuracy in predicting canopy cover (R<sup>2</sup> = 0.68), crop yield (R<sup>2</sup> = 0.54), and grain quality parameters such as protein content (R<sup>2</sup> = 0.49), starch (R<sup>2</sup> = 0.56), and hectoliter weight (R<sup>2</sup> = 0.51). However, its coarser resolution limited its ability to capture finer treatment-induced variability. MicaSense, despite its higher spatial resolution, performed poorly in predicting crop components, with R<sup>2</sup> values below 0.35 for yield and protein content. This study highlights the complementary use of remote sensing technologies to optimize wheat management and support climate-resilient agriculture through the integration of sustainable fertilization strategies.https://www.mdpi.com/2072-4292/16/23/4474remote sensingsatelliteUAVorgano-mineral fertilizationextensive cropsvegetation monitoring |
| spellingShingle | Italo Moletto-Lobos Katarzyna Cyran Luciano Orden Silvia Sánchez-Méndez Belen Franch Natacha Kalecinski Francisco J. Andreu-Rodríguez Miguel Á. Mira-Urios José A. Saéz-Tovar Pierre C. Guillevic Raul Moral Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems Remote Sensing remote sensing satellite UAV organo-mineral fertilization extensive crops vegetation monitoring |
| title | Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems |
| title_full | Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems |
| title_fullStr | Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems |
| title_full_unstemmed | Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems |
| title_short | Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems |
| title_sort | evaluating planetscope and uav multispectral data for monitoring winter wheat and sustainable fertilization practices in mediterranean agroecosystems |
| topic | remote sensing satellite UAV organo-mineral fertilization extensive crops vegetation monitoring |
| url | https://www.mdpi.com/2072-4292/16/23/4474 |
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