Glacier mass balance determination by remote sensing in the French Alps: progress and limitation for time series monitoring
| dc.contributor.author | J.-P. Dedieu | |
| dc.contributor.author | Antoine Rabatel | |
| dc.contributor.author | Christian Vincent | |
| dc.contributor.author | François Valla | |
| dc.contributor.author | Emmanuel Thibert | |
| dc.contributor.author | Yves Arnaud | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T15:43:23Z | |
| dc.date.available | 2026-03-22T15:43:23Z | |
| dc.date.issued | 2004 | |
| dc.description | Citaciones: 6 | |
| dc.description.abstract | This paper presents an approach founded on an indirect methodology to determine the distribution of mass balance at high spatial resolution using remote sensing and ground stakes measurements. A recent time series of images from optical and SAR data are selected on 3 outlet glaciers well suited in the French Alps to evaluate the accuracy of the computed mass balance. The method is based on the snowline determination as a proxy of the equilibrium line altitude (ELA). The key of the transfer is the activity coefficient (db/dz) for the annual mass balance calculation. Comparison between measured and computed mass balance provide a good correspondence (R/sup 2/=0.90) and allows extending the method on large-scale areas. The limitations are cloudiness for optical data and high slope distortion on SAR images. | |
| dc.identifier.doi | 10.1109/igarss.2003.1294523 | |
| dc.identifier.uri | https://doi.org/10.1109/igarss.2003.1294523 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/54029 | |
| dc.language.iso | en | |
| dc.source | Centre National de la Recherche Scientifique | |
| dc.subject | Glacier | |
| dc.subject | Remote sensing | |
| dc.subject | Environmental science | |
| dc.subject | Glacier mass balance | |
| dc.subject | Snow line | |
| dc.subject | Distortion (music) | |
| dc.subject | Meteorology | |
| dc.subject | Computer science | |
| dc.title | Glacier mass balance determination by remote sensing in the French Alps: progress and limitation for time series monitoring | |
| dc.type | article |