Estimation of tree failure consequences due to high winds using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1797219
Abstract: ABSTRACT Hurricanes cause significant property loss every year. A substantial part of that loss is due to trees destroyed by wind. The destroyed trees block roads and produce a large amount of debris that needs… read more here.
Keywords: due high; neural networks; convolutional neural; tree failure ... See more keywords
A New Index for Assessing Tree Vigour Decline Based on Sentinel-2 Multitemporal Data. Application to Tree Failure Risk Management
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2020.1837985
Abstract: ABSTRACT Detection and monitoring of vigour decline are certainly useful for forest managers to support future interventions. In this work a new index, from Sentinel-2 retrieved NDVI (Normalized Difference Vegetation Index) time series, is proposed,… read more here.
Keywords: tree failure; tree vigour; failure risk; new index ... See more keywords