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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 5, pp. 379-386

Discovering the possibility for irrigated lands identification with remote sensing data over Republic of Crimea based on spectral-temporal and thermal features

E.S. Elkina 1 , D.E. Plotnikov 1 , E.A. Dunaeva 2 
1 Space Research Institute RAS, Moscow, Russia
2 Research Institute of Agriculture of Crimea, Simferopol, Russia
Accepted: 12.10.2024
DOI: 10.21046/2070-7401-2024-21-5-379-386
The study underlines the results of discovering of new spectral-temporal and thermal features derived from Landsat-8 optical and thermal bands in order to map irrigated land over Republic of Crimea in 2023. High importance was shown by average-weighted date of NDVI (Normalized Difference Vegetation Index) maximum, maximum seasonal surface temperature and the median value of seasonal GNDVI (Green Normalized Difference Vegetation Index) value. The evaluation of the irrigated land mapping model demonstrated an overall accuracy of 98.5 %, with an F-score of 98.7 % for the “irrigated” class on the test dataset. These results indicate the potential for further irrigated land identification in the historical timeframes. Further extension of the training set will enable reliable remote mapping of irrigated lands of the study area. It is worth noting that the dependence of land productivity on climatic conditions in the Republic of Crimea determines the need to use irrigation for sustainable yields, therefore, discovering the possibility of recognizing irrigated lands helps retrieve up-to-date spatial information about the irrigated lands necessary for sustainable agricultural management and enhancing food security in the region. The versatility and portability of the described features suggests the possibility of their use for irrigated lands mapping over the Republic of Crimea for other growing seasons.
Keywords: irrigated lands, Landsat, Sentinel-2, Random Forest, vegetation indices, sustainable agriculture
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