Cross-Regional Crop Classification Based on Sentinel-2 Article Swipe
Jie He
,
Wenzhi Zeng
,
Chang Ao
,
Weimin Xing
,
Thomas Gaiser
,
Amit Kumar Srivastava
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy14051084
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy14051084
Accurate crop classification is of vital importance for agricultural water management. Most researchers have achieved crop classification by model optimization in the same temporal and regional domain by adjusting the value of input features. This study aims to improve the accuracy of crop classification across temporal and spatial domains. Sentinel-2 satellite imagery is employed for crop classification training and prediction in selected farming areas of Heilongjiang Province by calculating vegetation indices and constructing sequential input feature datasets. The HUNTS filtering method was used to mitigate the influence of cloud cover, which increased the stability and completeness of the input feature data across different years. To address the issue of shifts in the input feature values during cross-scale classification, this study proposes the hypothesis testing distribution method (HTDM). This method balances the distribution of input feature values in the test set even without knowing the crop distribution, thereby enhancing the accuracy of the classification test set. The results indicate that the HTDM significantly improves prediction accuracy in cases of substantial image quality variance. In 2022, the recognition accuracy for crop types at all farms processed by the HTDM was above 87%, showcasing the strong robustness of the HTDM.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/agronomy14051084
- https://www.mdpi.com/2073-4395/14/5/1084/pdf?version=1716206653
- OA Status
- gold
- Cited By
- 4
- References
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- 10
- OpenAlex ID
- https://openalex.org/W4398134794
All OpenAlex metadata
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Cross-Regional Crop Classification Based on Sentinel-2Work title
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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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2024-05-20Full publication date if available
- Authors
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Jie He, Wenzhi Zeng, Chang Ao, Weimin Xing, Thomas Gaiser, Amit Kumar SrivastavaList of authors in order
- Landing page
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https://doi.org/10.3390/agronomy14051084Publisher landing page
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https://www.mdpi.com/2073-4395/14/5/1084/pdf?version=1716206653Direct link to full text PDF
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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://www.mdpi.com/2073-4395/14/5/1084/pdf?version=1716206653Direct OA link when available
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Crop, Environmental science, Agroforestry, Agronomy, Geography, Forestry, BiologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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