Title :
Multi-source and multi-scale soil moisture dynamic modelling in mountain meadows
Author :
Pasolli, Luca ; Bertoldi, Giacomo ; Della Chiesa, Stefano ; Niedrist, Georg ; Tappeiner, Ulrike ; Zebisch, Marc ; Notarnicola, Claudia
Author_Institution :
Inst. for Appl. Remote Sensing, EURAC-Bolzano, Bolzano, Italy
Abstract :
A comparison among multi-source data with the main aim to detect soil moisture dynamics in an Alpine catchment is presented. The data sources are: ground measurements derived from field campaigns and meteorological stations, simulations from a hydrological model and estimates derived from SAR images. The test site is located in the north-western part of South Tyrol, mainly covered by pastures and meadows. The analysis indicates that the diverse sources are able to detect soil moisture dynamics at different spatial and temporal scales. Remote-sensing observations show consistent patterns through the summer season. Major control is land-use, with irrigated meadows in the bottom of the valley being the moister areas, and pastures along the upper hillslope the driest areas. Secondary control is topography, with increased moisture in convergent locations. Model simulations better reproduce the temporal trends as also detected by the ground stations; however, spatial patterns are quite different, with models results showing a much more uniform distribution.
Keywords :
hydrology; land use; moisture; soil; synthetic aperture radar; topography (Earth); vegetation; Alpine catchment; SAR images; South Tyrol; convergent locations; field campaign; ground measurement; ground stations; hillslope; hydrological model simulations; irrigated meadows; land-use control; meteorological stations; mountain meadows; multiscale soil moisture dynamic modelling; multisource data; multisource soil moisture dynamic modelling; pasture; remote sensing observation; soil moisture dynamics detection; spatial pattern; temporal trend; topography; valley; Estimation; Extraterrestrial measurements; Remote sensing; Soil measurements; Soil moisture; Synthetic aperture radar; RADARSAT2 SAR; Soil moisture; hydrological models; mountain grassland;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721269