In arid and semi-arid environments, the characterization of the inter-annual variations of the light use efficiency 8 due to water stress still relies mostly on meteorological data. Thus the GPP estimation based on procedures exclusively driven by remote sensing data has not found yet a widespread use. In this work, the potential to characterize the water stress in semi-natural vegetation of three spectral indices (NDWI, SIWSI and NDI7) - from MODIS broad spectral bands - has been analyzed in comparison to a meteorological factor (C-WS). The study comprises 70 sites (belonging to 7 different ecosystems) uniformly distributed over Tuscany, and three eddy covariance tower sites. An operational methodology, which combines meteorological and MODIS data, to characterize the inter-annual variations of epsilon due to summer water stress is proposed. Its main advantage is that it relies on existing series of meteorological data characterizing each site and allows calculating a typical C-WS profile that can be "updated" (C-WS*) for the actual conditions using MODIS spectral indices. The results confirm that the modified C-WS* can be used as a proxy of water stress that does not require concurrent information on meteorological data. (C) 2013 Elsevier B.V. All rights-reserved.
Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data
Maselli F;Chiesi M;Genesio L;Vaccari F;
2014
Abstract
In arid and semi-arid environments, the characterization of the inter-annual variations of the light use efficiency 8 due to water stress still relies mostly on meteorological data. Thus the GPP estimation based on procedures exclusively driven by remote sensing data has not found yet a widespread use. In this work, the potential to characterize the water stress in semi-natural vegetation of three spectral indices (NDWI, SIWSI and NDI7) - from MODIS broad spectral bands - has been analyzed in comparison to a meteorological factor (C-WS). The study comprises 70 sites (belonging to 7 different ecosystems) uniformly distributed over Tuscany, and three eddy covariance tower sites. An operational methodology, which combines meteorological and MODIS data, to characterize the inter-annual variations of epsilon due to summer water stress is proposed. Its main advantage is that it relies on existing series of meteorological data characterizing each site and allows calculating a typical C-WS profile that can be "updated" (C-WS*) for the actual conditions using MODIS spectral indices. The results confirm that the modified C-WS* can be used as a proxy of water stress that does not require concurrent information on meteorological data. (C) 2013 Elsevier B.V. All rights-reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
