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Evaluating Sentinel-1 Capability in Classifying Dieback in Chestnut and Oak Forests

  • Published:2024 Issue: Volume:21 Page:1-5
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Mouret Florian1ORCID,Parrens Marie2,Chéret Véronique3,Denux Jean-Philippe3,Vincent-Barbaroux Cécile4ORCID,Planells Milena2ORCID

Affiliation:

1. P2E Laboratory (Physiology, Ecology, and Environment), Université of Orléans, USC INRAE 1328, Orléans, France

2. CESBIO, CNES/CNRS/INRAE/IRD/UT3-Paul Sabatier, Université de Toulouse, Toulouse, France

3. Dynafor, INRAE, INPT, INP-PURPAN, University of Toulouse, Castanet-Tolosan, Toulouse, France

4. P2E Laboratory (Physiology, Ecology and Environment), Université of Orléans, USC INRAE 1328, Orléans, France

Funder

Région Center-Val de Loire (France), through the SYCOMORE Program in collaboration with the SuFoSaT Project of the GRAINE ADEME Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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