International Snow Science Workshop Proceedings - Montana State University Library

Item: Snowpack Depth Modelling and Water Availability from Lidar Measurements in Eastern Pyrenees

• • Title: Snowpack Depth Modelling and Water Availability from Lidar Measurements in Eastern Pyrenees

    Proceedings: International Snow Science Workshop, Davos 2009, Proceedings

    Authors:

    • Ignacio MORENO BAÑOS  [ Institut Geològic de Catalunya, C/ Balmes, 209-211. E08006-Barcelona ]
    • Antoni RUIZ GARCÍA  [ Institut Cartogràfic de Catalunya, Parc de Montjuïc - 08038 Barcelona ]
    • Jordi MARTURIÀ I ALAVEDRA  [ Institut Geològic de Catalunya, C/ Balmes, 209-211. E08006-Barcelona ]
    • Pere OLLER I FIGUERAS  [ Institut Geològic de Catalunya, C/ Balmes, 209-211. E08006-Barcelona ]
    • Jordi PIÑA IGLESIAS  [ Institut Geològic de Catalunya, C/ Balmes, 209-211. E08006-Barcelona ]
    • Carles GARCIA SELLÉS  [ Institut Geològic de Catalunya, C/ Balmes, 209-211. E08006-Barcelona ]
    • Pere MARTÍNEZ I FIGUERAS  [ Institut Geològic de Catalunya, C/ Balmes, 209-211. E08006-Barcelona ]
    • Julià TALAYA LÓPEZ  [ Institut Cartogràfic de Catalunya, Parc de Montjuïc - 08038 Barcelona ]

    Date: 2009

    Abstract: In order to evaluate water reserves in mountain watersheds the Institut Geològic de Catalunya (IGC) jointly with Institut Cartogràfic de Catalunya (ICC) have begun a project to model snowpack depth distribution at the study site of Vall de Núria (38 Km2 basin located in eastern Pyrenees). Remote sensing airborne LIDAR (Light Detection and Ranging) survey and field work validations were performed to make this calculation. Modelling snowpack distribution is a complex task because of its spatial variability. Despite being a recently developed technique, LIDAR has become a useful method in snow sciences because it has the advantage to offer dense point data and to cover wide areas with little economic and field work effort. The new methodology presented combines LIDAR data with field work, the use of Geographical Information Systems (GIS) and the stepwise regression tree (SRT), as extrapolation technique has allowed us to map snowpack depth distribution with high spatial resolution. Extrapolation is necessary because raw LIDAR data is only obtained from part of the study area in order to make the technique as affordable as possible. Promising results show low differences of total snow volume calculated from modeled snowpack distribution and total snow volume from LIDAR data only differ 1.4%.

    Language of Article: English

    Presenters: Unknown

    Keywords: snowpack depth, stepwise regression tree, lidar, geographic information systems (gis), pyrenees

    Page Number(s): 202-206

    Subjects: snowpack modeling lidar measurements eastern pyrenees

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