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基于點(diǎn)擴(kuò)散函數(shù)的條件植被溫度指數(shù)降尺度轉(zhuǎn)換方法
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國(guó)家自然科學(xué)基金項(xiàng)目(41371390)


Downscaling Transformation Method for Vegetation Temperature Condition Index Based on Point Spread Function
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    摘要:

    以陜西省關(guān)中平原為研究區(qū)域,基于MODIS數(shù)據(jù)反演的條件植被溫度指數(shù)(VTCI)的定量化干旱監(jiān)測(cè)結(jié)果(MODIS-VTCI)和基于Landsat數(shù)據(jù)反演的VTCI相對(duì)干濕監(jiān)測(cè)結(jié)果(Landsat-VTCI),應(yīng)用點(diǎn)擴(kuò)散函數(shù)(PSF)將930m空間分辨率的MODIS-VTCI降尺度轉(zhuǎn)換至30m,并對(duì)降尺度轉(zhuǎn)換的VTCI進(jìn)行定量化驗(yàn)證。結(jié)果表明,降尺度轉(zhuǎn)換的VTCI與LandsatVTCI間的相關(guān)系數(shù)和結(jié)構(gòu)相似度均較大,降尺度轉(zhuǎn)換的VTCI與累計(jì)降水量間的相關(guān)性和MODISVTCI與累計(jì)降水間的相關(guān)性相近,且均高于Landsat-VTCI與累計(jì)降水量間的相關(guān)性,說(shuō)明降尺度轉(zhuǎn)換的VTCI既考慮了Landsat-VTCI的空間變異,又保持了MODIS-VTCI較為準(zhǔn)確的定量化干旱監(jiān)測(cè)特性。

    Abstract:

    The vegetation temperature condition index (VTCI) has been widely used in drought monitoring, which is in the assumption that their shape of the scatter plots of normalized difference vegetation index (NDVI) and land surface temperature (LST) was a triangular at a regional level. Bsaed on the vegetation temperature condition index (VTCI) drought monitoring results retrieved from the moderate-resolution imaging spectroradiometer (MODIS) data products (MODIS-VTCI) and the relative VTCI derived from the Landsat OLI/TIRS products (Landsat-VTCI) in the Guanzhong Plain, China, the MODIS-VTCI was transformed from a coaser resolution of 930m to a finer resolution of 30m by using the point spread function, called PSF-VTCI, and the PSF-VTCIs were validated for their quantification. The results showed that there was good agreement between the PSF-VTCIs and the Landsat-VTCIs terms of their correlation coefficient and structural similarity index. The correlation coefficients between the PSF-VTCIs and the cumulative precipitation were similar to those between the MODIS-VTCIs and the cumulative precipitation, which were both larger than those between the Landsat-VTCIs and the cumulative precipitation, indicating the PSF-VTCIs were not only related to the space heterogeneity of the Landsat-VTCIs but also the accurate quantitative drought monitoring results of the MODIS-VTCIs.

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王鵬新,劉郊,李俐,張樹(shù)譽(yù),解毅.基于點(diǎn)擴(kuò)散函數(shù)的條件植被溫度指數(shù)降尺度轉(zhuǎn)換方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2017,48(12):165-173. WANG Pengxin, LIU Jiao, LI Li, ZHANG Shuyu, XIE Yi. Downscaling Transformation Method for Vegetation Temperature Condition Index Based on Point Spread Function[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(12):165-173.

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  • 收稿日期:2017-03-16
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  • 在線發(fā)布日期: 2017-12-10
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