Analyzing phenological changes with remote sensing data in Central Asia

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Lu, L.^1 ; Guo, H.^1 ; Kuenzer, C.^2 ; Klein, I.^3 ; Zhang, L.^1 ; Li, X.^1

Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China^1

German Remote Sensing Data Centre (DFD), German Aerospace Centre (DLR), Wessling 82234, Germany^2

Department of Remote Sensing, University of Wuerzburg, Am Hubland, 97074 Wuerzburg, Germany^3

关键词: Central Asia;    Growing season;    Phenological changes;    Remote sensing data;    Time-series data;    Trend analysis;    Vegetation activity;    Vegetation type;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012005/pdf
DOI  :  10.1088/1755-1315/17/1/012005

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Based on NOAA/AVHRR NDVI biweekly time-series data, the start and end of the growing season of Central Asia from 1982 to 2006 were estimated. Trend analysis results indicate an earlier green-up and a later dormancy over the entire area during the study period. For seven main vegetation types, the largest advance of greenup onset (0.597 days/year) occurs in cropland and the longest delay of dormancy (1.109 days/year) in open shrubland. The smallest advance (0.164 days/year) occurs in evergreen needleleaf forest and delay (0.443 days/year) in crop/natural vegetation mosaic. These results imply enhanced vegetation activity in the Central Asia region over last decades.