use of crop sequences for data-mining of remotely sensed time series across multiple scales (poster...

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?

ridavide+fsd@gmail.com 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