Abstract
The vegetation temperature condition index (VTCI) has been shown to perform well for drought monitoring using multiyear advanced very high-resolution radiometer (AVHRR) and moderate resolution imaging spectroradiometer (MODIS) data. Compared to single-year VTCI, the VTCI calculated by multiyear data can quantitatively reflect the degree of drought and precipitation in a region. Sentinel-3 is a recently launched remote sensing satellite with high temporal resolution and is similar to the satellites carrying AVHRR and MODIS sensors. One year of Sentinel-3 data is available for calculating the VTCI, and given the need for developing quantitatively drought monitoring capabilities, the aim of this study is to investigate the methods used to calculate the potential multiyear Sentinel-3 VTCI for quantitative drought monitoring. This is based on a comparison with multiyear Terra MODIS VTCI and a correlation analysis with cumulative precipitation data. The analysis results indicate that the potential multiyear Sentinel-3 VTCI can be accurately calculated from the single-year Sentinel-3 VTCI based on the linear correlation between the single-year VTCI and multiyear VTCI derived from Terra MODIS, which do not exhibit obvious systematic deviations from the multiyear Terra MODIS VTCI (the absolute value of the average bias R 2 = 0.731, P < 0.001). Therefore, it is proposed that Sentinel-3 can successfully inherit the VTCI-based drought monitoring tasks from MODIS.
Highlights
D ROUGHT is one of the most important factors that influence crop yields
1) If there is a good linear correlation between the single-year vegetation temperature condition index (VTCI) and multiyear VTCI derived from Terra moderate resolution imaging spectroradiometer (MODIS), the multiyear Sentinel-3 VTCI can be derived from the single-year Sentinel-3 VTCI according to the linear correlation between the single-year VTCI and multiyear VTCI derived from Terra MODIS, which is called method 1
The second comparison was used to analyze the linear correlation between the single-year VTCI and multiyear VTCI derived from Terra MODIS; the feasibility of calculating the multiyear Sentinel-3 VTCI using methods 1 was analyzed
Summary
D ROUGHT is one of the most important factors that influence crop yields. Drought can seriously threaten water and food security and may lead to a reduction in crop yield [1], [2]. Traditional crop drought monitoring is usually measured in fields and at meteorological stations using data with high temporal resolution such as soil moisture and precipitation. These data are point-based, and it is difficult to accurately obtain a continuous spatial distribution of drought conditions [3], [4]. Drought monitoring using the VCI combined with the temperature condition index (TCI) can more accurately reflect the area and intensity of drought. The calculation formula for the TCI is similar to that for the VCI, which replaces NDVI with land surface temperature (LST) and indicates how close the LST in the current period is to the maximum LST over multiple years. Thereafter, the methods for determining the multiyear warm edge and cold edge
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