Earth Observation Datasets for Change Detection in Forests

  • Julius Akinyemi MIT Media Lab/UWINCorp Inc.
  • Josiane Mothe Institut de Recherche en Informatique de Toulouse
  • Nathalie Neptune Institut de Recherche en Informatique de Toulouse

Abstract

Various datasets can be used to automatically detect changes occurring in forests. This article reviews datasets both global and local that may be used to automatically classify land cover and detect changes particularly in forests. These same datasets may be used to evaluate image segmentation and annotation methods. This contribution focuses on data allowing the analysis of deforestation and reforestation phenomena.

Published
2019-02-25