| Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 6 | |
| Section | Green Technologies, Climate Change and Environmental Safety and Pollution | |
| DOI | https://doi.org/10.1051/e3sconf/202448604009 | |
| Published online | 07 February 2024 | |
Preliminary results of automatic cotton crops mapping using remote sensing data
1 "Cotton Research and Innovation Centre" LLC, 16/2 Bogidil Str., Tashkent, 100020, Republic of Uzbekistan
2 International Strategic Centre for Agrifood Development (ISCAD) under the Ministry of Agriculture of the Republic of Uzbekistan, 2, Universitetskaya Str., Tashkent region, Kibray district, 100140, Republic of Uzbekistan
* Corresponding author: uzcluster@gmail.com
The paper presents the results of application of the method of automatic generation of representative and unbiased set for in-season cotton crop mapping, based on crop simulation model, previously parameterized using ground truth and satellite data. The method provided confident mapping of cotton fields without using actual ground-truth information or apriori information about their in-season phenology. Overall mapping accuracy calculated using relevant ground truth data for cotton fields has reached 95.6 %. Consideration of time series of NDVI values as a model of phase characteristics allowed using relatively simple criteria to identify typical representatives of the selected crop on the basis of analysis of their seasonal phenology and made it possible to build a reference sample for modeling and further classification.
© The Authors, published by EDP Sciences, 2024
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