Spectral indices with different spatial resolutions in recognizing soybean phenology Article Swipe
Airton Andrade da Silva
,
Francisco Charles dos Santos Silva
,
Claudinei Martins Guimarães
,
Ibrahim Saleh
,
José Francisco da Crus Neto
,
Mohamed A. El‐Tayeb
,
Mostafa A. Abdel-Maksoud
,
Jorge González Aguilera
,
Hamada AbdElgawad
,
Alan Mário Zuffo
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0305610
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0305610
The aim of the present research was to evaluate the efficiency of different vegetation indices (VI) obtained from satellites with varying spatial resolutions in discriminating the phenological stages of soybean crops. The experiment was carried out in a soybean cultivation area irrigated by central pivot, in Balsas, MA, Brazil, where weekly assessments of phenology and leaf area index were carried out. Throughout the crop cycle, spectral data from the study area were collected from sensors, onboard the Sentinel-2 and Amazônia-1 satellites. The images obtained were processed to obtain the VI based on NIR (NDVI, NDWI and SAVI) and RGB (VARI, IV GREEN and GLI), for the different phenological stages of the crop. The efficiency in identifying phenological stages by VI was determined through discriminant analysis and the Algorithm Neural Network–ANN, where the best classifications presented an Apparent Error Rate (APER) equal to zero. The APER for the discriminant analysis varied between 53.4% and 70.4% while, for the ANN, it was between 47.4% and 73.9%, making it not possible to identify which of the two analysis techniques is more appropriate. The study results demonstrated that the difference in sensors spatial resolution is not a determining factor in the correct identification of soybean phenological stages. Although no VI, obtained from the Amazônia-1 and Sentinel-2 sensor systems, was 100% effective in identifying all phenological stages, specific indices can be used to identify some key phenological stages of soybean crops, such as: flowering (R 1 and R 2 ); pod development (R 4 ); grain development (R 5.1 ); and plant physiological maturity (R 8 ). Therefore, VI obtained from orbital sensors are effective in identifying soybean phenological stages quickly and cheaply.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0305610
- OA Status
- gold
- Cited By
- 1
- References
- 38
- Related Works
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- OpenAlex ID
- https://openalex.org/W4402595814
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4402595814Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0305610Digital Object Identifier
- Title
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Spectral indices with different spatial resolutions in recognizing soybean phenologyWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-18Full publication date if available
- Authors
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Airton Andrade da Silva, Francisco Charles dos Santos Silva, Claudinei Martins Guimarães, Ibrahim Saleh, José Francisco da Crus Neto, Mohamed A. El‐Tayeb, Mostafa A. Abdel-Maksoud, Jorge González Aguilera, Hamada AbdElgawad, Alan Mário ZuffoList of authors in order
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https://doi.org/10.1371/journal.pone.0305610Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1371/journal.pone.0305610Direct OA link when available
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Phenology, Statistics, Biology, Mathematics, EcologyTop concepts (fields/topics) attached by OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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