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MONITORING SPATIAL PATTERNS OF VEGETATION PHENOLOGY IN AN AUSTRALIAN TROPICAL TRANSECT USING MODIS EVI

机译:用MODIS EVI监测澳大利亚热带横断面的植被候选空间模式

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Phenology is receiving increasing interest in the area of climate change and vegetation adaptation to climate. The phenology of a landscape can be used as a key parameter in land surface models and dynamic global vegetation models to more accurately simulate carbon, water and energy exchanges between land cover and atmosphere. However, the characterisation of phenology is lacking in tropical savannas which cover more than 30% of global land area, and are highly vulnerable to climate change. The objective of this study is to investigate the spatial pattern of vegetation phenology along the Northern Australia Tropical Transect (NATT) where the major biomes are wet and dry tropical savannas. For this analysis we used more than 11 years Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) product from 2000 to 2011. Eight phenological metrics were derived: Start of Season (SOS), End of Season (EOS), Length of Season (LOS), Maximum EVI (MaxG), Minimum EVI (MinG), annual amplitude (AMP), large integral (LIG), and small integral (SIG) were generated for each year and each pixel. Our results showed there are significant spatial patterns and considerable interannual variations of vegetation phenology along the NATT study area. Generally speaking, vegetation growing season started and ended earlier in the north, and started and ended later in the south, resulting in a southward decrease of growing season length (LOS). Vegetation productivity, which was represented by annual integral EVI (LIG), showed a significant descending trend from the northern part of NATT to the southern part. Segmented regression analysis showed that there exists a distinguishable breakpoint along the latitudinal gradient, at least in terms of annual minimum EVI (EVI), which is located between 18.84°S to 20.04°S.
机译:吩咐在气候变化和植被适应气候中受到越来越兴趣。景观的候选物可以用作土地表面模型和动态全球植被模型的关键参数,以更准确地模拟陆地和大气之间的碳,水和能量交换。然而,在热带大草原上缺乏候选的表征,占全球土地面积的30%以上,并且对气候变化极强。本研究的目的是调查沿澳大利亚北部的植被候选植被效力(纳瓦)的空间模式,其中主要生物群是潮湿的热带大草原。对于此分析,我们使用了11年以上的21多年的分辨率成像光谱辐射器(MODIS)增强型植被指数(EVI)产品从2000年到2011年。八个鉴别度量:季节开始(SOS),季节结束(EOS),长度季节(LOS),最大EVI(MAXG),最小EVI(MING),每年和每个像素生成大积分(LIG)和小整体(SIG)。我们的结果表明,沿着纽特研究区植被酚醛化的显着空间模式和相当大的续际变化。一般来说,植被生长季节开始和结束于北方,并开始南方后期,导致生长季节长度(LOS)南方下降。由年度积分EVI(LIG)表示的植被生产率表现出从南部北部的北部北部的显着下降趋势。分段回归分析表明,沿着纬度梯度存在可区分断点,至少在年最小EVI(EVI)方面,其位于18.84°S至20.04°S之间。

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