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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, 2025, Vol. 22, No. 1, pp. 148-161

Analysis of convergence of different spatial resolution time series of satellite imagery of Bolshezemelskaya tundra

V.V. Elsakov 1 
1 Institute of Biology, Komi Science Centre UrB RAS, Syktyvkar, Russia
Accepted: 14.01.2025
DOI: 10.21046/2070-7401-2025-22-1-148-161
The convergence of averaged maximum values and trends of interannual changes in the NDVI (Normalized Difference Vegetation Index) derived from satellite imagery of GIMMS (3G) (Global Inventory Modeling and Mapping Studies), SPOT-VGT (S10) and MODIS (MOD13Q collection 6.1) series for the time period of 2000–2003 has been analyzed for the territory of Bolshezemelskaya tundra (about 102 thousand km2). The compared satellite images had differences in spatial and spectral resolution, intervals of time composite generation. Comparisons were made by generalizing an image of greater spatial resolution to a less detailed image. The considered imagery demonstrated low level of convergence for averaged interannual maximum NDVI values. The GIMMS (3G) images significantly overestimated the index values (on average by 10–15 % compared to MODIS and by 20–30 % to SPOT-VGT), and low correlation coefficients (r) were demonstrated in the pairs of comparison. The degree of agreement between mean NDVI distributions increased with image resolution and narrowing of the spectral ranges. The highest correlation was observed between MODIS and SPOT-VGT NDVI data (r = 0.76, p = 0.05). The most detailed MODIS images demonstrated the greatest changes in the interannual linear trend of changes (β) calculated for maximum annual NDVI values. A decrease in image spatial resolution was associated with a decrease in β quantity and variability. All images showed changes related to higher productivity in the area of the southern ecotone of low shrub tundra. The compared pairs of images had low correlation coefficients for β indicator. The highest correlation was observed for MODIS and SPOT-VGT (r = 0.40 at p = 0.05). The best ability to detect trends in vegetation was noted in MODIS time series.
Keywords: composites of satellite images, NDVI, vegetation changes, Bolshezemelskaya tundra
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