BIP! Finder - Estimation of Forest Parameters Combining Multisensor High Resolution Remote Sensing Data

2018 • Estimation of Forest Parameters Combining Multisensor High Resolution Remote Sensing Data

Authors: D. Morin, Milena Planelis, Dominique Guyett, Ludovic Viiiard, Gérard Dedieu

Venue: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

Type: Publication

Abstract: International audience; Forest monitoring is a major issue to carry out energetic and environmental policies. Actual context in spaceborne remote sensing data is very promising. Our study aims to test the ability of SAR, optical and textural data to estimate forest parameters (biomass, height, diameter and density), and to evaluate the improvement of combining these remote sensing data. We worked on monospecific pine forest stands. The first results highlighted the synergy between SAR and spatial texture informations. Sentinel-1 C-band SAR data... (read more)

Topics: Remote sensing Artificial intelligence

DOI: 10.1109/igarss.2018.8517722

BIP! social metrics: 0 6
External links: Crossref , OpenAIRE

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