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Wavelet approach applied to EVI/MODIS time series and meteorological data
ISPRS Journal of Photogrammetry and Remote Sensing ( IF 10.6 ) Pub Date : 2018-12-07 , DOI: 10.1016/j.isprsjprs.2018.11.024
Andreise Moreira , Denise Cybis Fontana , Tatiana Mora Kuplich

The aim of this study was to describe the phenology of different types of grasslands from the Pampa and Mata Atlântica biomes in the southern region of Brazil and its relation with meteorological variables, in a time series of EVI/MODIS data using the Wavelet approach (Transform – WT - and Coherence - WC). There is a lack of studies focusing on how climate variability influences the phenology of different Brazilian Pampa grassland typologies. This information is essential to describe the spatio-temporal dynamics of grasslands and contribute to actions of sustainable management and conservation strategies, threatened by crops, forestry, and expansion of overgrazed cattle farms. A series of EVI/MODIS acquired from February 2000 to December 2014, totaling 342 images, were sampled for each of the 10 grassland typologies at the study area. Mean EVI data and the WT indicated when and where changes in the grassland phenological dynamics occurred. The WC, applied to the EVI/MODIS time series with (i) rainfall and (ii) air temperature, helped to identify the correlation between the data. Two well - defined cycles were identified: annual, ranging from 1 to 23 observations, and interannual, from 92 to 184 observations. The different grassland typologies showed similar phenological patterns, although some spatial dependency was observed and related to the different soil and terrain morphometry at the study area. The influence of those abiotic factors on the grassland vegetation, phenological events and their expression on the EVI was also spatially dependent and strongly linked to weather conditions (e.g., the permanence of humidity after rainfall in shallow soils) and climate. The correlation between EVI and air temperature was stronger in the annual cycle for all grassland typologies. For the interannual cycles, El Niño and La Niña events caused higher correlation between EVI data and rainfall.



中文翻译:

小波方法应用于EVI / MODIS时间序列和气象数据

这项研究的目的是在EVI / MODIS数据的时间序列中使用小波方法(Transform)描述巴西南部地区潘帕(Pampa)和马塔(MataAtlântica)生物群落的不同类型的草原物候及其与气象变量的关系。 – WT-和连贯性-WC)。缺乏针对气候变化如何影响巴西南美大草原不同草原类型的物候学的研究。这些信息对于描述草原的时空动态以及为受到作物,林业和过度放牧的牛场的威胁而采取的可持续管理和保护策略的行动至关重要。在研究区域内,从2000年2月至2014年12月采集了一系列EVI / MODIS,共342张图像,共10种草地类型。平均EVI数据和WT指示了草原物候动态发生变化的时间和地点。在(i)降雨和(ii)气温的情况下,将WC应用于EVI / MODIS时间序列,有助于确定数据之间的相关性。确定了两个定义明确的周期:一年(从1到23个观测值)和一年一次(从92到184个观测值)。尽管观察到一些空间依赖性,并且与研究区域的不同土壤和地形形态有关,但不同的草地类型表现出相似的物候模式。这些非生物因素对草地植被,物候事件及其在EVI上的表达的影响也与空间有关,并与天气条件(例如,浅层土壤中降雨后的湿度的持久性)和气候密切相关。在所有草地类型的年周期中,EVI与气温之间的相关性都更强。在年际周期中,厄尔尼诺和拉尼娜事件导致EVI数据与降雨之间的相关性更高。

更新日期:2018-12-07
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