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Abstract

SUMMARY

The research is aimed at monitoring the state of crops and their possible loss using remote sensing and artificial intelligence tools. Using these tools in the research process, the following results were achieved: the boundaries of agricultural land arrays were determined; identified boundaries of crops and their areas under individual agricultural crops by vegetation phase; analysed volumes of cultivated areas, their structure in a territorial section. It is proved, that using both Sentinel-1 and Sentinel-2 satellite images data give more accurate results. Crop profiles are proven to be the key to improving the quality of crop classification results, as they allow algorithms to better distinguish between crops.

EAGE Publications BV © 2022 The Authors © European Association of Geoscientists and Engineers
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/content/papers/10.3997/2214-4609.2022590016
2022-10-03
2024-04-28

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.2022590016
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Crop Identification Using Remote Sensing Methods and Artificial Intelligence
Conference Proceedings 2022, 1 (2022); https://doi.org/10.3997/2214-4609.2022590016
/content/papers/10.3997/2214-4609.2022590016
/content/papers/10.3997/2214-4609.2022590016
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