Determining forest parameters for avalanche simulation using remote sensing data
Sign Up to like & getrecommendations! Published in 2020 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2019.102976
Abstract: Abstract Mountain forests offer effective, natural and cost-efficient protection against avalanches. Trees reduce the probability of an avalanche formation and can significantly decelerate small to medium size avalanches. Remote sensing methods enable an efficient assessment… read more here.
Keywords: forest cover; avalanche; remote sensing; simulation ... See more keywords
Comparison of machine learning algorithms for forest parameter estimations and application for forest quality assessments
Sign Up to like & getrecommendations! Published in 2019 at "Forest Ecology and Management"
DOI: 10.1016/j.foreco.2018.12.019
Abstract: Abstract Forest parameters have been estimated using various regression methods based on satellite data. However, there are a few concerns regarding further application of these predicted parameters. Current forest quality (FQ) assessments are mainly based… read more here.
Keywords: quality; forest quality; machine learning; quality assessments ... See more keywords
Estimating forest parameters using Landsat ETM+ spectral responses and monocultured plantation fieldwork measurements data
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1430400
Abstract: ABSTRACT Forest parameters, such as mean diameter at breast height (DBH), mean stand height (H) or volume per hectare (V), are imperative for forest resources assessment. Traditional forest inventory that is usually based on fieldwork… read more here.
Keywords: fieldwork; estimating forest; forest inventory; forest parameters ... See more keywords