use of crop sequences for data-mining of remotely sensed time series across multiple scales (poster...
TRANSCRIPT
![Page 1: Use of crop sequences for data-mining of remotely sensed time series across multiple scales (poster teaser)](https://reader031.vdocument.in/reader031/viewer/2022030318/5a6da39e7f8b9ac0678b45ff/html5/thumbnails/1.jpg)
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
![Page 2: Use of crop sequences for data-mining of remotely sensed time series across multiple scales (poster teaser)](https://reader031.vdocument.in/reader031/viewer/2022030318/5a6da39e7f8b9ac0678b45ff/html5/thumbnails/2.jpg)
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
![Page 3: Use of crop sequences for data-mining of remotely sensed time series across multiple scales (poster teaser)](https://reader031.vdocument.in/reader031/viewer/2022030318/5a6da39e7f8b9ac0678b45ff/html5/thumbnails/3.jpg)
aimDiscussing a time dominant and context wise data-mining method
![Page 4: Use of crop sequences for data-mining of remotely sensed time series across multiple scales (poster teaser)](https://reader031.vdocument.in/reader031/viewer/2022030318/5a6da39e7f8b9ac0678b45ff/html5/thumbnails/4.jpg)
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
![Page 5: Use of crop sequences for data-mining of remotely sensed time series across multiple scales (poster teaser)](https://reader031.vdocument.in/reader031/viewer/2022030318/5a6da39e7f8b9ac0678b45ff/html5/thumbnails/5.jpg)
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