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Monitoring drought stress in north-eastern China by means of rainfall data and diachrone indices derived from Pathfinder AVHRR-imagery.
Ozer, Pierre; Tychon, Bernard; Eerens, Herman
2004In Smits, Paul; Bruzzone, Lorenzo (Eds.) Analysis of Multi-Temporal Remote Sensing Images
 

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Keywords :
Drought monitoring; Water stress; Remote sensing; Rainfall data; Pathfinder AVHRR; Heilongjiang; China; Suivi de la sécheresse; Stress hydrique; Télédétection; Précipitations; Chine
Abstract :
[en] For climatic stress detection and monitoring in the Heilongjiang Province, north-eastem China, an indicator on the interannual vegetation state was extracted from the AVHRR Pathfinder image set (1981-2000) and compared to the rainfall variations over the growing season (June to August). The results show that the vegetation status does not closely depend on rainfall variations in this region. Temperatures, which showed a rapid augmentation in the northern high latitudes since the early 1980s, seem to be a more crucial limiting factor for vegetation growth. Rapid land cover change and large natural disasters are also likely to impact the relationship between rainfall and vegetation.
Disciplines :
Environmental sciences & ecology
Agriculture & agronomy
Earth sciences & physical geography
Author, co-author :
Ozer, Pierre ;  Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement
Tychon, Bernard ;  Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement
Eerens, Herman
Language :
English
Title :
Monitoring drought stress in north-eastern China by means of rainfall data and diachrone indices derived from Pathfinder AVHRR-imagery.
Publication date :
2004
Main work title :
Analysis of Multi-Temporal Remote Sensing Images
Author, co-author :
Smits, Paul
Bruzzone, Lorenzo
Publisher :
World Scientific, London, United Kingdom
Edition :
Volume 3
ISBN/EAN :
981-238-915-6
Collection name :
Series in Remote Sensing
Pages :
268-276
Available on ORBi :
since 28 July 2009

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