Articles

Remote sensing of agro-ecological infrastructures: achievements of the TEL-IAE project

Christophe SAUSSE, David SHEEREN
Received : 23 September 2022; Published : 17 November 2022
DOI: https://doi.org/10.20870/Revue-SET.2022.40.7175

References

  • Anderson, C. B. (2018). Biodiversity monitoring, earth observations and the ecology of scale. Ecol Lett, 21: 1572-1585, doi:10.1111/ele.13106
  • Bockstaller, C., Sirami, C., Sheeren, D., Keichinger, O., Arnaud, L., Favreau, A., Angevin, F., Laurent, D., Marchand, G., De Laroche, E., Ceschia, E. (2021). Apports de la télédétection au calcul d’indicateurs agri-environnementaux au service de la PAC, des agriculteurs et porteurs d’enjeu. Innovations Agronomiques, n° 83, p. 43-59, doi:10.15454/ns4w-a314
  • Bonthoux, S., Lefèvre, S., Herrault, P. A., Sheeren, D. (2018). Spatial and Temporal Dependency of NDVI Satellite Imagery in Predicting Bird Diversity over France. Remote Sensing, 10(7), 1136, doi:10.3390/rs10071136
  • Delaune, T., Ouattara, M. S., Ballot, R., Sausse, C., Felix, I., Maupas, F., Barbu, C. (2021). Landscape drivers of pests and pathogens abundance in arable crops. Ecography, 44(10), 1429-1442, doi:10.1111/ecog.05433
  • Fahrig, L., Baudry, J., Brotons, L., Burel, F. G., Crist, T. O., Fuller, R. J., Martin, J. L. (2011). Functional landscape heterogeneity and animal biodiversity in agricultural landscapes. Ecology letters, 14(2), 101-112, doi:10.1111/j.1461-0248.2010.01559.x
  • Fauvel, M., Planque, C., Sheeren, D., Dalla Mura, M. (2014). Télédétection des éléments semi-naturels : utilisation des données Pléiades pour la détection des haies, Revue Française de Photogrammétrie et Télédétection, 208, p. 111-116, doi:10.52638/rfpt.2014.101
  • Hoffer, R.M. (1994). Challenges in developing and applying remote sensing to ecosystem management. In: Sample, V.A., editors, Remote sensing and GIS in ecosystem management, Washington, DC: Island Press, 25-40.
  • Joliveau, T. (2012). La géographie et la géomatique au crible de la néogéographie, Tracés. Revue de Sciences humaines, http://journals.openedition.org/traces/4847
  • Kattenborn, T., Leitloff, J., Schiefer, F., Hinz, S. (2021). Review on Convolutional Neural Networks (CNN) in vegetation remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 173, p. 24-49, doi:10.1016/j.isprsjprs.2020.12.010
  • Lechner, A. M., Rhodes, J. R. (2016). Recent Progress on Spatial and Thematic Resolution in Landscape Ecology. Curr Landscape Ecol, Rep, 1, 98-105, doi:10.1007/s40823-016-0011-z
  • Lopes, M. (2017). Ecological monitoring of semi-natural grasslands: statistical analysis of dense satellite image time series with high spatial resolution. Thèse de doctorat de l’Université de Toulouse, 200 p., https://www.theses.fr/220009902
  • McGarigal, K., Cushman, S. A., Neel, M. C., Ene, E. (2002). FRAGSTATS: Spatial Pattern Analysis Program for Categorical Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst, available at the following web site: http://www.umass.edu/landeco/research/fragstats/fragstats.html
  • Roelens, J., Höfle, B., Dondeyne, S., Van Orshoven, J., Diels, J. (2018). Drainage ditch extraction from airborne LiDAR point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 146, p. 409-420, doi:10.1016/j.isprsjprs.2018.10.014
  • Schaub, M., Kéry, M., Birrer, S., Rudin, M., Jenni, L. (2011). Habitat‐density associations are not geographically transferable in Swiss farmland birds. Ecography, 34(4), 693-704, http://www.jstor.org/stable/41239432
  • Vimal, R., & Mathevet, R. (2011). La carte et le territoire : le réseau écologique à l’épreuve de l’assemblée cartographique. Cybergeo: European Journal of Geography, Environnement, Nature, Paysage, document 572, doi:10.4000/cybergeo.24841
  • Wilson, E. O., & MacArthur, R. H. (1967). The theory of island biogeography (Vol. 1). Princeton, NJ: Princeton University Press.

Abstract

Mapping agro-ecological infrastructures is an important step in assessing the quality of agricultural landscapes and predicting the impact of developments. Spatial remote sensing has important advantages for achieving this objective at reasonable cost and over a large area. The Tel-IAE project "Remote sensing of agro-ecological infrastructures", which ended six years ago, has made it possible to evaluate existing methods in various cases and to develop new ones. What has happened since? After a quick review of the project's experience, the authors present some ideas for the future, both in terms of the uses of remote sensing and technical progress.

Authors

Christophe SAUSSE

c.sausse@terresinovia.fr

Affiliation : Terres Inovia, avenue Lucien Brétignières, 78850 Thiverval Grignon

Country : France

David SHEEREN

Affiliation : INRAE, UMR Dynafor, chemin de Borde-Rouge, CS 52627 Auzeville, 31326 Castanet Tolosan Cedex

Country : France

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