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| Reference : Spatial aggregation of low resolution satellite data for the monitoring of vegetation re... |
| Scientific congresses and symposiums : Paper published in a book | |||
| Life sciences : Environmental sciences & ecology Life sciences : Agriculture & agronomy | |||
| http://hdl.handle.net/2268/93763 | |||
| Spatial aggregation of low resolution satellite data for the monitoring of vegetation response to climatic stresses : analysis of the spatial heterogeneity of aggregated entities. | |
| English | |
| Horion, Stéphanie [ > > ] | |
| Eerens, H. [ > > ] | |
Tychon, Bernard  [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >] | |
| Cornet, Yves [Université de Liège - ULg > Département de géographie > Unité de Géomatique - Télédétection et photogrammétrie >] | |
| Jul-2007 | |
| Proceedings Envisat Symposium | |
| ESA | |
| International | |
| Envisat Symposium 2007 | |
| du 23 avril 2007 au 27 avril 2007 | |
| ESA | |
| Montreux | |
| Switzerland | |
| [en] Our PhD research consists in analysing and modelling the vegetation response or sensitivity to climatic stresses with low satellite imagery. In that framework, the selection of optimal calibration sites is very important. These sites should be characterised by a stable and homogenous land cover over large area. Here we analyse the spatial heterogeneity of the
aggregation entities (EU-NUTS 2) used by the MARSFOOD programme for the extraction of regional NDVI-means. | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/2268/93763 |
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