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Davide Rizzo*EG Lazrak ¹JF Mari ¹ ²
L Hubert‐Moy ³M Benoît ²
* UMR AGIR INRA‐INPT¹ INRA SAD‐ASTER
² LORIA, UMR 7503 & INRIA³ LETG‐Rennes‐COSTEL, UMR CNRS &
Université de Rennes 2
Opportunities for
scaling up research on
agricultural dynamics
Use of crop sequences for data mining of remotelysensed time series acrossmultiple scales
Can maps of land cover sequences
improve cross-scale understanding of farming systems?
T7 . Scaling up from farm to landscape multiscale
scenario analysis of agricultural systems
…will make possible to build farming system design from a landscape agronomy perspective
Understanding how land patterns, farmingpractices and natural resources are related
aimDiscussing a time dominant and context wise data-mining method
watershed of 61.5 km² (Brittany, FRA) mainly maize, wheat and grasslands related
to industrial breeding.
12 year time series of satellite images was classified into 6 land cover classes for individual field polygons– then sampled with a 7-m regular point grid
We distinguished permanent from temporary grassland and identified and localized the type of rotations in which temporary grasslands were involved.
Yar case study
Lazrak et al., (submitted) Mapping agricultural land use dynamics with remotely sensed series: a generic data mining approach at a watershed scale
want to know more?
[email protected] Davide Rizzo, PhD
It’s ok to tweet
download the posterhttp://bit.ly/FSD5_Rizzo_poster
…and come discussing it !
Thanks for your
attention
More information upcoming