Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery

Strong wind disturbances can affect large forested areas and often occur irregularly within a forest. Due to this, identifying damaged sites and estimating the extent of these losses are crucial for the harvesting management of salvage logging. Furthermore, the location should be surveyed as soon as...

Full description

Bibliographic Details
Main Authors: Martin Mokroš, Jozef Výbošťok, Ján Merganič, Markus Hollaus, Iván Barton, Milan Koreň, Julián Tomaštík, Juraj Čerňava
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/8/9/306
id doaj-bc68c548187c41e6b7343ea557e42854
record_format Article
spelling doaj-bc68c548187c41e6b7343ea557e428542020-11-24T20:42:05ZengMDPI AGForests1999-49072017-08-018930610.3390/f8090306f8090306Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System ImageryMartin Mokroš0Jozef Výbošťok1Ján Merganič2Markus Hollaus3Iván Barton4Milan Koreň5Julián Tomaštík6Juraj Čerňava7Department of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, SlovakiaDepartment of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, SlovakiaDepartment of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, SlovakiaDepartment of Geodesy and Geoinformation, TU Wien, Gusshausstrasse 27–29, Vienna 1040, AustriaDepartment of Surveying and Remote Sensing, Institute of Geomatics and Civil Engineering, Faculty of Forestry, University of Sopron, Sopron 9400, HungaryDepartment of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, SlovakiaDepartment of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, SlovakiaDepartment of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, SlovakiaStrong wind disturbances can affect large forested areas and often occur irregularly within a forest. Due to this, identifying damaged sites and estimating the extent of these losses are crucial for the harvesting management of salvage logging. Furthermore, the location should be surveyed as soon as possible after the disturbance to prevent the degradation of fallen trees. A fixed-wing type of unmanned aircraft system (UAS) with a compact digital camera was used in this study. The imagery was acquired on approximately 200 hectares where five large windthrow areas had occurred. The objective of the study was to determine the location of the windthrow areas using a semi-automatic approach based on the UAS imagery, and on the combination of UAS imagery with airborne laser scanning (ALS). The results were compared with reference data measured by global navigation satellite system (GNSS) devices. At the same time, windthrow areas were derived from Landsat imagery to investigate whether the UAS imagery would have significantly more accurate results. GNSS measurements and Landsat imagery are currently used in forestry on an operational level. The salvage logging was estimated for each forest stand based on the estimated areas and volume per hectare obtained from the forest management plan. The results from the UAS (25.09 ha) and the combined UAS/ALS (25.56 ha) methods were statistically similar to the reference GNSS measurements (25.39 ha). The result from Landsat, at 19.8 ha, was not statistically similar to the reference GNSS measurements or to the UAS and UAS/ALS methods. The estimate of salvage logging for the whole area, from UAS imagery and the forest management plan, overestimated the actual salvage logging measured by foresters by 4.93% (525 m3), when only the most represented tree species were considered. The UAS/ALS combination improved the preliminary results of determining windthrow areas which lead to decreased editing time for all operators. The UAS imagery shows potential for application to early-stage surveys of windthrow areas in forests. The advantages of this method are that it provides the ability to conduct flights immediately after the disturbance, the foresters do not need to walk within the affected areas which decreases the risk of injury, and allows flights to be conducted on cloudy days. The orthomosaic of the windthrow areas, as a by-product of data processing in combination with forest maps and forest road maps, can be used as a tool to plan salvage logging.https://www.mdpi.com/1999-4907/8/9/306unmanned aircraft systemwindthrowforestphotogrammetryairborne laser scanningLandsatglobal navigation satellite system
collection DOAJ
language English
format Article
sources DOAJ
author Martin Mokroš
Jozef Výbošťok
Ján Merganič
Markus Hollaus
Iván Barton
Milan Koreň
Julián Tomaštík
Juraj Čerňava
spellingShingle Martin Mokroš
Jozef Výbošťok
Ján Merganič
Markus Hollaus
Iván Barton
Milan Koreň
Julián Tomaštík
Juraj Čerňava
Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery
Forests
unmanned aircraft system
windthrow
forest
photogrammetry
airborne laser scanning
Landsat
global navigation satellite system
author_facet Martin Mokroš
Jozef Výbošťok
Ján Merganič
Markus Hollaus
Iván Barton
Milan Koreň
Julián Tomaštík
Juraj Čerňava
author_sort Martin Mokroš
title Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery
title_short Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery
title_full Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery
title_fullStr Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery
title_full_unstemmed Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery
title_sort early stage forest windthrow estimation based on unmanned aircraft system imagery
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2017-08-01
description Strong wind disturbances can affect large forested areas and often occur irregularly within a forest. Due to this, identifying damaged sites and estimating the extent of these losses are crucial for the harvesting management of salvage logging. Furthermore, the location should be surveyed as soon as possible after the disturbance to prevent the degradation of fallen trees. A fixed-wing type of unmanned aircraft system (UAS) with a compact digital camera was used in this study. The imagery was acquired on approximately 200 hectares where five large windthrow areas had occurred. The objective of the study was to determine the location of the windthrow areas using a semi-automatic approach based on the UAS imagery, and on the combination of UAS imagery with airborne laser scanning (ALS). The results were compared with reference data measured by global navigation satellite system (GNSS) devices. At the same time, windthrow areas were derived from Landsat imagery to investigate whether the UAS imagery would have significantly more accurate results. GNSS measurements and Landsat imagery are currently used in forestry on an operational level. The salvage logging was estimated for each forest stand based on the estimated areas and volume per hectare obtained from the forest management plan. The results from the UAS (25.09 ha) and the combined UAS/ALS (25.56 ha) methods were statistically similar to the reference GNSS measurements (25.39 ha). The result from Landsat, at 19.8 ha, was not statistically similar to the reference GNSS measurements or to the UAS and UAS/ALS methods. The estimate of salvage logging for the whole area, from UAS imagery and the forest management plan, overestimated the actual salvage logging measured by foresters by 4.93% (525 m3), when only the most represented tree species were considered. The UAS/ALS combination improved the preliminary results of determining windthrow areas which lead to decreased editing time for all operators. The UAS imagery shows potential for application to early-stage surveys of windthrow areas in forests. The advantages of this method are that it provides the ability to conduct flights immediately after the disturbance, the foresters do not need to walk within the affected areas which decreases the risk of injury, and allows flights to be conducted on cloudy days. The orthomosaic of the windthrow areas, as a by-product of data processing in combination with forest maps and forest road maps, can be used as a tool to plan salvage logging.
topic unmanned aircraft system
windthrow
forest
photogrammetry
airborne laser scanning
Landsat
global navigation satellite system
url https://www.mdpi.com/1999-4907/8/9/306
work_keys_str_mv AT martinmokros earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
AT jozefvybostok earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
AT janmerganic earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
AT markushollaus earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
AT ivanbarton earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
AT milankoren earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
AT juliantomastik earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
AT jurajcernava earlystageforestwindthrowestimationbasedonunmannedaircraftsystemimagery
_version_ 1716823253626912768