Journal of Siberian Federal University. Engineering & Technologies / Algorithm of Assessment of the MODIS NDVI Long-Term Variations

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Issue
Journal of Siberian Federal University. Engineering & Technologies. 2018 11 (1)
Authors
Sodnomov, Bator V.; Ayurzhanaev, Alexander A.; Tsydypov, Bair Z.; Garmaev, Endon Zh.
Contact information
Sodnomov, Bator V.: Baikal Institute of Nature Management SB RAS 6 Sakhyanovoy Str., Ulan-Ude, 670047, Russia; ; Ayurzhanaev, Alexander A.: Baikal Institute of Nature Management SB RAS 6 Sakhyanovoy Str., Ulan-Ude, 670047, Russia; Tsydypov, Bair Z.: Baikal Institute of Nature Management SB RAS 6 Sakhyanovoy Str., Ulan-Ude, 670047, Russia; Garmaev, Endon Zh.: Baikal Institute of Nature Management SB RAS 6 Sakhyanovoy Str., Ulan-Ude, 670047, Russia
Keywords
MODIS; NDVI; algorithm; MODIS; NDVI; trend; Transbaikalia; vegetation
Abstract

An algorithm was developed for assessment of long-term variations of vegetation characteristics. The algorithm use NDVI data from spectroradiometer MODIS of Terra and Aqua satellites. The algorithm includes pre-processing procedures – the restoration of missing values, smoothing using Savitsky-Golay filter. To analyze the areas with snow cover the minimum length of the growing season is determined for the full length of the time series. Obtained after removing the seasonal component NDVI values are used to construct a linear regression and determine the trend. As a result of applying the algorithm the map of the spatial distribution of NDVI linear trends was created from 2000 to 2016 for the West Transbaikalia. Examples of visual verification of vegetation cover changes using satellite images of ultra-high spatial resolution are presented

Pages
61-68
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/70396

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