2022
DOI: 10.3390/rs15010187
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Comparison of Phenological Parameters Extracted from SIF, NDVI and NIRv Data on the Mongolian Plateau

Abstract: The phenological parameters estimated from different data may vary, especially in response to climatic factors. Therefore, we estimated the start of the growing season (SOS) and the end of the growing season (EOS) based on sunlight-induced chlorophyll fluorescence (SIF), the normalized difference vegetation index (NDVI) and the near-infrared reflectance of vegetation (NIRv). The SIF, NDVI and NIRv breakpoints were detected, and the trends and change-points of phenological parameters based on these data were an… Show more

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Cited by 7 publications
(6 citation statements)
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“…For the areas with increasing trends, 33.68% of the total area showed significant increase, and 56.1% of the total areas showed no significant increase. GPP was highly correlated with the LAI, and SIF-GPP could show more details than the LAI, especially in the forest area (Ersi et al, 2023).…”
Section: Spatial and Temporal Distribution And Changing Trends Of Gpp...mentioning
confidence: 93%
“…For the areas with increasing trends, 33.68% of the total area showed significant increase, and 56.1% of the total areas showed no significant increase. GPP was highly correlated with the LAI, and SIF-GPP could show more details than the LAI, especially in the forest area (Ersi et al, 2023).…”
Section: Spatial and Temporal Distribution And Changing Trends Of Gpp...mentioning
confidence: 93%
“…In all study regions and for cereal crops, the SOS occurs in autumn, and the EOS occurs in summer of the following year [56][57][58][59][60][61]; therefore, the agricultural year was considered to extend from 1 September to 31 August of the following year. The SOS and EOS dates were retrieved at the pixel scale, and the amplitude thresholds were defined to be 20% according to the methodology used in several studies [14,20,62,63]. The calculations of SOS and EOS thresholds are summarized in Equation (5).…”
Section: Phenology Parameter Extractionmentioning
confidence: 99%
“…The EVI is calculated on the basis of nearinfrared reflectance, red reflectance, and blue reflectance (400-460 nm), which can effectively reduce the atmospheric and soil noise effects and is often used to reveal vegetation changes in areas with high vegetation cover [47]. The NIR v is a recently developed vegetation index, calculated from NDVI and near-infrared reflectance, which can reflect vegetation phenology information; however, the response to climate elements is not clear [48,49].…”
Section: Indicator Selectionmentioning
confidence: 99%