Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiarid
It is essential to know the dynamics of agricultural areas through surface energy balance components such as radiation balance, evapotranspiration, and soil moisture for the sustainable management of water use in irrigation. In the present study, we undertook to monitor and evaluate the spatiotempor...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277237552200017X |
| _version_ | 1828346626651979776 |
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| author | Jhon Lennon Bezerra da Silva Alan Cézar Bezerra Geber Barbosa de Albuquerque Moura Alexandre Maniçoba da Rosa Ferraz Jardim Pedro Henrique Dias Batista Fernanda Lamede Ferreira de Jesus Arthur Carniato Sanches Marcos Vinícius da Silva |
| author_facet | Jhon Lennon Bezerra da Silva Alan Cézar Bezerra Geber Barbosa de Albuquerque Moura Alexandre Maniçoba da Rosa Ferraz Jardim Pedro Henrique Dias Batista Fernanda Lamede Ferreira de Jesus Arthur Carniato Sanches Marcos Vinícius da Silva |
| author_sort | Jhon Lennon Bezerra da Silva |
| collection | DOAJ |
| description | It is essential to know the dynamics of agricultural areas through surface energy balance components such as radiation balance, evapotranspiration, and soil moisture for the sustainable management of water use in irrigation. In the present study, we undertook to monitor and evaluate the spatiotemporal dynamics of an irrigated area with a center pivot in a region of the Brazilian semiarid region, based on physical and water parameters of the energy balance, using remote sensing techniques. The work was developed using three Landsat-8 satellite images, implementing the Surface Energy Balance Algorithms for Land (SEBAL), responsible for extracting geospatial information. In addition, surface meteorological data were used for image corrections and calibrations. The results presented, from thematic maps, monitoring of the spatiotemporal dynamics of irrigated areas, specifying mainly the production of irrigated corn with pivot. Thus, because of the physical-water parameters, photosynthetically active radiation irrigated areas and water deficit were identified, with higher and lower values of the radiation balance, evapotranspiration, and soil moisture, respectively. Therefore, spatiotemporal monitoring of the dynamics of irrigated areas can help in planning and managing the proper management of agricultural systems for the sustainable use of water in the Brazilian semiarid region. The MNDWI proved to be sensitive and efficient to analyze the dynamics of the presence of water in center pivot irrigation and can be an effective part of irrigation management in the region. |
| first_indexed | 2024-04-14T00:29:03Z |
| format | Article |
| id | doaj.art-377bfd3b2fac4d3b89441bd941c5e5b0 |
| institution | Directory Open Access Journal |
| issn | 2772-3755 |
| language | English |
| last_indexed | 2024-04-14T00:29:03Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Smart Agricultural Technology |
| spelling | doaj.art-377bfd3b2fac4d3b89441bd941c5e5b02022-12-22T02:22:36ZengElsevierSmart Agricultural Technology2772-37552022-12-012100052Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiaridJhon Lennon Bezerra da Silva0Alan Cézar Bezerra1Geber Barbosa de Albuquerque Moura2Alexandre Maniçoba da Rosa Ferraz Jardim3Pedro Henrique Dias Batista4Fernanda Lamede Ferreira de Jesus5Arthur Carniato Sanches6Marcos Vinícius da Silva7Postgraduate Program in Agricultural Engineering, Department of Agricultural Engineering, Rural Federal University of Pernambuco. Av. D. Manoel de Medeiros, SN; Dois Irmãos, Recife, Pernambuco 52171-900, Brazil; Corresponding author.Professor Doctor, Academic Unit of Serra Talhada, Rural Federal University of Pernambuco, Recife, Pernambuco 52171-900, BrazilProfessor Doctor, Department of Agronomy, Rural Federal University of Pernambuco, Recife, Pernambuco 52171-900, BrazilPostgraduate Program in Agricultural Engineering, Department of Agricultural Engineering, Rural Federal University of Pernambuco. Av. D. Manoel de Medeiros, SN; Dois Irmãos, Recife, Pernambuco 52171-900, BrazilPostgraduate Program in Agricultural Engineering, Department of Agricultural Engineering, Rural Federal University of Pernambuco. Av. D. Manoel de Medeiros, SN; Dois Irmãos, Recife, Pernambuco 52171-900, BrazilProfessor Doctor, Engineering Department, Federal University Rural of Amazônia, Tomé-Açu, BrazilProfessor Doctor, Federal University of Grande Dourados (UFGD), Dourados, BrazilPostgraduate Program in Agricultural Engineering, Department of Agricultural Engineering, Rural Federal University of Pernambuco. Av. D. Manoel de Medeiros, SN; Dois Irmãos, Recife, Pernambuco 52171-900, BrazilIt is essential to know the dynamics of agricultural areas through surface energy balance components such as radiation balance, evapotranspiration, and soil moisture for the sustainable management of water use in irrigation. In the present study, we undertook to monitor and evaluate the spatiotemporal dynamics of an irrigated area with a center pivot in a region of the Brazilian semiarid region, based on physical and water parameters of the energy balance, using remote sensing techniques. The work was developed using three Landsat-8 satellite images, implementing the Surface Energy Balance Algorithms for Land (SEBAL), responsible for extracting geospatial information. In addition, surface meteorological data were used for image corrections and calibrations. The results presented, from thematic maps, monitoring of the spatiotemporal dynamics of irrigated areas, specifying mainly the production of irrigated corn with pivot. Thus, because of the physical-water parameters, photosynthetically active radiation irrigated areas and water deficit were identified, with higher and lower values of the radiation balance, evapotranspiration, and soil moisture, respectively. Therefore, spatiotemporal monitoring of the dynamics of irrigated areas can help in planning and managing the proper management of agricultural systems for the sustainable use of water in the Brazilian semiarid region. The MNDWI proved to be sensitive and efficient to analyze the dynamics of the presence of water in center pivot irrigation and can be an effective part of irrigation management in the region.http://www.sciencedirect.com/science/article/pii/S277237552200017XEnergy balanceWater resourcesIrrigated agricultureWater deficitGeoprocessing |
| spellingShingle | Jhon Lennon Bezerra da Silva Alan Cézar Bezerra Geber Barbosa de Albuquerque Moura Alexandre Maniçoba da Rosa Ferraz Jardim Pedro Henrique Dias Batista Fernanda Lamede Ferreira de Jesus Arthur Carniato Sanches Marcos Vinícius da Silva Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiarid Smart Agricultural Technology Energy balance Water resources Irrigated agriculture Water deficit Geoprocessing |
| title | Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiarid |
| title_full | Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiarid |
| title_fullStr | Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiarid |
| title_full_unstemmed | Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiarid |
| title_short | Spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the Brazilian semiarid |
| title_sort | spatiotemporal dynamics of agricultural areas with central pivot using orbital remote sensing in the brazilian semiarid |
| topic | Energy balance Water resources Irrigated agriculture Water deficit Geoprocessing |
| url | http://www.sciencedirect.com/science/article/pii/S277237552200017X |
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