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S1 InSAR Coherence

Project References
Acronym S1LandStudy_LCVM
Full title S1 InSAR Coherence
Cost 250 K €
Action line
Missions Sentinel 1
Project Description
Objectives

Developing, implementing and validating methods for mapping land-cover and vegetation (forests, agricultural land) using multitemporal S-1 data, with emphasis on the study and exploitation of the information content in the multitemporal InSAR coherence time-series

Abstract

SINCOHMAP is an ESA SEOM project with the objective of developing, analysing and validating novel methodologies for land cover & vegetation mapping using Sentinel-1 Interferometric Coherence Evolution. One of the main objectives of the project is to quantify the impact in using S-1 InSAR (Interferometric Synthetic Aperture Radar) data relative to traditional land cover and vegetation mapping using optical data (especially Sentinel-2, hereafter named S-2) or SAR-based (Synthetic Aperture Radar) approaches. In consequence, the project is designed to clearly state this point.

Expected outcomes

  • InSAR coherence fingerprint: novel methodology tailored to the exploitation of the coherence evolution
  • Machine learning approach at pixel level using Sentinel-1 and Sentinel-2
  • Machine learning approach at object level using Sentinel-1 and Sentinel-2
  • Alternative strategies proposed and extracted from a Round Robin consultation
Website http://sincohmap.org/
Results

Project Consortium
Prime Contractor DARES Technology (ES)
Subcontractors Universitat Politecnica de Calalunya (ES), Universidad de Alicante (ES), EURAC Research (IT), IGiK (PL) and Université de Rennes (FR)
Project Manager
Technical Officer M Engdahl
Email: marcus.engdahl@esa.int



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