6533b852fe1ef96bd12aa4e6
RESEARCH PRODUCT
Using Optical and Thermal Data for Tracking Snowmelt Processes in Alpine Area
B. Di MauroF. TuzetRoberto GarzonioAntonino MalteseRoberto ColomboG. PennatiEdoardo CremoneseSergio CogliatiMarie Dumontsubject
010504 meteorology & atmospheric sciencesFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTREGEO/04 - GEOGRAFIA FISICA E GEOMORFOLOGIA0207 environmental engineeringGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA02 engineering and technologySnowpackTracking (particle physics)Snow01 natural sciencesGEO/11 - GEOFISICA APPLICATAGEO/10 - GEOFISICA DELLA TERRA SOLIDARemote sensing (archaeology)Liquid water contentMiddle latitudesSnowmeltThermalEnvironmental science020701 environmental engineeringRemote Sensing Snow Thermal Inertia Snowmelt Snow densitySettore ICAR/06 - Topografia E Cartografia0105 earth and related environmental sciencesRemote sensingdescription
Alpine catchments represent a fundamental reservoir of fresh water at midlatitude. Remote sensing offers the opportunity to estimate snow properties in the optical, thermal and microwave domains. In particular, the possibility to estimate snow density from remote sensing is relevant and still represents a great challenge for the remote sensing scientific community. Since changes of snow density and liquid water content occur continuously in the snowpack, spatial and temporal patterns of optical and thermal data can give information about snowmelt processes. The main goal of this study is to evaluate if snow thermal inertia can be an indicator of snowmelt processes and to evaluate its relationship with snow variables, with particular attention to snow density. This study is a first attempt in exploiting thermal inertia for monitoring snow dynamics, and it may open new perspectives for early detection of snowmelt processes and snow parameters from remote sensing observations.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-07-01 |