R. Colombo, L. Busetto, F. Fava, B. D. Mauro, M. Migliavacca, E. Cremonese, M. Galvagno, M. Rossini, M. Meroni, S. Cogliati, C. Panigada, C. Siniscalco, U. M. D. Cella
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引用次数: 25
摘要
本研究比较了Terra和Aqua平台获取的MODIS NDVI 16天(250 m)时间序列,用于监测高山环境下落叶松和草地的物候周期。MODIS 250 m Terra和Aqua物候指标的准确性通过与野外数据的比较进行评估。在区域一级,对MODIS Terra和Aqua在不同年份探测到的季节开始和结束的平均日期进行了相关分析。季节开始和结束的区域图是根据MODIS数据和经评估的两个生态系统的年际物候变异性得出的。从卫星数据获得的生长季节开始的年度异常与气象站计算的气温异常相关联,以评估近期气候变率对植被物候周期的影响。与野外物候观测结果的比较表明,MODIS Terra和Aqua资料可以准确地确定物候周期的开始和结束时间,春季气温每升高/降低1℃,生长季开始时间就会提前/延迟10 d左右。
Phenological monitoring of grassland and larch in the Alps from Terra and Aqua MODIS images
This study compares MODIS NDVI 16-day (250 m) time series, acquired by Terra and Aqua platforms, for monitoring the phenological cycle of larch and grasslands in an alpine environment. The accuracy of MODIS 250 m Terra and Aqua phenological metrics �as evaluated for larch forests through comparison �ith field data. At regional level it �as carried out a correlation analysis bet�een the mean dates of start and end of season detected from MODIS Terra and Aqua in different years. Regional maps of start and end of season �ere derived from MODIS data and the interannual phenological variability of both ecosystems �as evaluated. Annual anomalies of the beginning of the gro�ing season, obtained from satellite data, �ere related �ith air temperature anomalies, computed from meteorological stations, to evaluate the effects of recent climate variability on the vegetation phenological cycle. Comparison �ith field phenological observations sho�ed that the start and the end of phenological cycle can be accurately determined from MODIS Terra and Aqua data and that an increase/decrease of 1°C in spring temperature lead to about 10 days in advance/ delay of the start of the gro�ing season.
期刊介绍:
European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include:
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