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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. 3, pp. 121-130

Analysis of the distribution of the NDVI index on the arable land area of the Republic of Khakassia according to remote sensing data

E.V. Pinyasova 1 , E.V. Pavlova 1 
1 Khakassian State University, Abakan, Russia
Accepted: 03.05.2024
DOI: 10.21046/2070-7401-2024-21-3-121-130
Currently, the assessment of the state of agricultural land using remote sensing data is one of the promising areas for solving scientific and applied problems. The aim of the work was to identify and analyze the condition of arable land and fallow fields during the growing season of 2022 using remote sensing data and geographic information technologies by calculating the normalized difference vegetation index (NDVI) in the territory of the Shirinsky district of the Republic of Khakassia. Cartographic materials were created using the geographic information system ArcMap 10.2.1. Using field research data, multizone images were analyzed of Canopus-B, Sentinel-2, Landsat-8, as well as cloud services and geographic information resources, ultra-high and high-resolution satellite images of IKONOS and WorldView were analyzed. The article presents the results of visual and automatic decoding using the maximum similarity method to identify oat, barley and fallow fields. The analysis of the zonal statistics of the NDVI distribution from May to October was performed. When identifying the difference in the areas of crops, the data of climatic parameters (temperature, precipitation) were taken into account, including the hydrothermal coefficient (HTC) which was calculated for three periods according to the method by I. V. Sivisyuk. As a result of the analysis of the data obtained, differences in the decryption of fields with wheat, oat and fallow fields were revealed. It was determined that in the first test area 7 coulisses were allocated for arable land with oats, and there were 8 coulisses for fallow fields. The second section was characterized by an equal amount of coulisses: 6 coulisses were for fallow fields, 6 were sown with wheat. A feature of the development of oats was the minimum index at the end of July (0.19), as well as a spike in the index to 0.36 in September, which can be explained by the vegetation of weeds and the presence of stubble. No such features were found for wheat fields, however, the average for all months was 0.03±0.001 higher than for oat crops.
Keywords: arable land, vegetation of the Republic of Khakassia, geographic information systems, remote sensing data, geoecology, map, NDVI
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