Submonthly Assessment of Temperate Forest Clear-Cuts in Mainland France
MORIN, David
Centre d'études spatiales de la biosphère [CESBIO]
Physiologie, Ecologie et Environnement [P2E]
Centre d'études spatiales de la biosphère [CESBIO]
Physiologie, Ecologie et Environnement [P2E]
SHEEREN, David
Dynamiques et écologie des paysages agriforestiers [DYNAFOR]
École nationale supérieure agronomique de Toulouse [ENSAT]
Dynamiques et écologie des paysages agriforestiers [DYNAFOR]
École nationale supérieure agronomique de Toulouse [ENSAT]
HAMROUNI, Yousra
Dynamiques et écologie des paysages agriforestiers [DYNAFOR]
Conseil National du Peuplier
Dynamiques et écologie des paysages agriforestiers [DYNAFOR]
Conseil National du Peuplier
BÉLOUARD, Thierry
Biodiversité, Gènes & Communautés [BioGeCo]
Ministère de l'agriculture, de l'agroalimentaire et de la forêt
< Reduce
Biodiversité, Gènes & Communautés [BioGeCo]
Ministère de l'agriculture, de l'agroalimentaire et de la forêt
Language
en
Article de revue
This item was published in
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024, vol. 17, p. 13743-13764
IEEE
English Abstract
Remote sensing satellites allow large-scale and fast detections of forest loss. Operational forest loss detection systems have been mainly developed over tropical forests; however, it is increasingly important to have ...Read more >
Remote sensing satellites allow large-scale and fast detections of forest loss. Operational forest loss detection systems have been mainly developed over tropical forests; however, it is increasingly important to have access to accurate and up-to-date information on temperate forests. In this article, we adapted a Sentinel-1-based near real-time tropical forest loss detection method, based on the radar change ratio, to detect French temperate forests clear-cuts. Using ancillary data, annual and submonthly clear-cuts were assessed for broadleaf and conifer forests, for various tree species, over public and private forests. Using 967 validation plots, the maps exhibited recall and precision of 80.9% and 99.4%, respectively. The clear-cuts area shows remarkable stability over time from 2020. We found seven times more clear-cuts in private forests than in public forests, although the surface area of private forests is only three times that of public forests. It was also demonstrated that only 1.6% out of 4530 dieback reference plots, and 6.2% of maps of forest bark beetle attacks, were confused with clear-cuts before clear-cuts actually occurred, which makes our maps complementary with forest dieback maps. Collectively, the findings of this study could have significant implications for the implementation of a radar-satellite-based system designed for the real-time detection of large-scale clear-cuts in European temperate forests.Read less <
English Keywords
Fast clear-cuts detection
France
Sentinel-1 SAR image time series
temperate forests
Origin
Hal imported