LAND SURFACE PHENOLOGY FROM MODIS DATA IN GERMANY

被引：0

作者：

Kuebert, Carina ^{[1
]}

Conrad, Christopher ^{[1
]}

Klein, Doris ^{[2
]}

Dech, Stefan ^{[2
]}

机构：

[1] Univ Wurzburg, Dept Remote Sensing, D-97070 Wurzburg, Germany

[2] German Aerospace Ctr, German Remote Sensing Data Ctr, Oberpfaffenhofen, Germany

来源：

MULTITEMP 2013: 7TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES | 2013年

关键词：

MODIS; Land Surface Phenology; CORINE land cover; Germany; TIME-SERIES; SPRING PHENOLOGY; CLIMATE-CHANGE; VEGETATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Changes in the timing of phenological events are a critical parameter for quantifying the impact of climate alterations on vegetation development that in reverse alters patterns of biosphere-atmosphere interactions. By the means of remote sensing, numerous approaches have been developed for deriving Land Surface Phenology. This study aims at identifying the best combination of data quality integration, filtering and threshold choice for the Start of Season (SOS) in Germany using MODIS data. The resulting remote sensing based SOS is related to phenological ground observations. For the year 2010, SOS data was produced by 5 different methods and the best method was identified by the comparison of the SOS dates to ground observations of the leaf unfolding of Broad-Leaved forest and beginning of turning green for Pastures, respectively. The results show that the impact of time series data quality screening, filter choice and threshold setting differs among the selected land cover classes.

引用

页数：4

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