Lumír Dobrovolný

Lumír Dobrovolný


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
5 November 2020 in Remote Sensing
Verified
Journal Article
Open access
PDF file
AFAngel Fernandez-Carrillo
Angel Fernandez-Carrillo
ZPZdeněk Patočka
Zdeněk Patočka
LDLumír Dobrovolný
Lumír Dobrovolný
AFAntonio Franco-Nieto
Antonio Franco-Nieto
Beatriz Revilla-RomeroBeatriz Revilla-Romero
Beatriz Revilla-Romero
Over the last decades, climate change has triggered an increase in the frequency of spruce bark beetle (Ips typographus L.) in Central Europe. More than 50% of forests in the Czech Republic are seriously threatened by this pest, leading to high ecological and economic losses. The exponential increase of bark beetle infestation hinders the implementation of costly field campaigns to prevent and mitigate its effects. Remote sensing may help to overcome such limitations as it provides frequent and spatially continuous data on vegetation condition. Using Sentinel-2 images as main input, two models have been developed to test the ability of this data source to map bark beetle damage and severity. All models were based on a change detection approach, and required the generation of previous forest mask and dominant species maps. The first damage mapping model was developed for 2019 and 2020, and it was based on bi-temporal regressions in spruce areas to estimate forest vitality and bark beetle damage. A second model was developed for 2020 considering all forest area, but excluding clear-cuts and completely dead areas, in order to map only changes in stands dominated by alive trees. The three products were validated with in situ data. All the maps showed high accuracies (acc > 0.80). Accuracy was higher than 0.95 and F1-score was higher than 0.88 for areas with high severity, with omission errors under 0.09 in all cases. This confirmed the ability of all the models to detect bark beetle attack at the last phases. Areas with no damage or low severity showed more complex results. The no damage category yielded greater commission errors and relative bias (CEs = 0.30–0.42, relB = 0.42–0.51). The similar results obtained for 2020 leaving out clear-cuts and dead trees proved that the proposed methods could be used to help forest managers fight bark beetle pests. These biotic damage products based on Sentinel-2 can be set up for any location to derive regular forest vitality maps and inform of early damage.

10 December 2013 in Dendrobiology
Verified
Journal Article
Open access
AMAntonín Martiník
Antonín Martiník
LDLumír Dobrovolný
Lumír Dobrovolný
EPEva Palátová
Eva Palátová

9 August 2017 in South-east European forestry
Verified
Journal Article
Open access
LDLumír Dobrovolný
Lumír Dobrovolný
AMAntonín Martiník
Antonín Martiník
DDDamir Drvodelić
Damir Drvodelić
MOMilan Oršanić
Milan Oršanić
SEEFOR - South-East European Forestry