géza király 1 , gábor brolly 1

22
Airborne Laser Scanning (ALS) data processing and its usage for forest cover and forest stand parameter estimation Géza Király 1 , Gábor Brolly 1 1 University of West Hungary Faculty of Forestry Department of Surveying and Remote Sensing H-9400 SOPRON, Bajcsy-Zs u. 4.

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Airborne Laser Scanning (ALS) data processing and its usage for forest cover and forest stand parameter estimation. Géza Király 1 , Gábor Brolly 1. 1 University of West Hungary Faculty of Forestry Department of Surveying and Remote Sensing H-9400 SOPRON, Bajcsy-Zs u. 4. Methodology 1. - PowerPoint PPT Presentation

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Page 1: Géza Király 1 ,  Gábor  Brolly 1

Airborne Laser Scanning (ALS) data processing and its usage for forest cover and forest stand parameter estimation

Géza Király1, Gábor Brolly1

1University of West Hungary Faculty of ForestryDepartment of Surveying and Remote SensingH-9400 SOPRON, Bajcsy-Zs u. 4.

Page 2: Géza Király 1 ,  Gábor  Brolly 1

RS In Forest Protection and Inventory, Novy Smokovec 2

Methodology 1.

Planning the survey and getting the permissionExecution of the surveyPre-processingFilteringRelative orientationAbsolute orientation

ProcessingDigital Surface Model (DSM)Digital Terrain Model (DTM)normalised Digital Surface Model (nDSM)

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Methodology 2.

Forest parameters extractionArea-based methodsStand heightsCrown closureStem density

Individual tree based methodsNumber of single treesSingle tree heightsCrown projection area

Processing of imagery data

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INMEIN project (HUSK/1101/1.2.1/0141)Execution of the survey: 2013.09.08.

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File (‚Adatlap’) – MH GEOSZ

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ExecutionPoint density (0 – 40 points/m2)

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• ~1900 images have been captured parallel

• True-colour images (RGB)

• ~10 cm resolution• Mono- and stereo-

photogrammetric evaluation

Image-based forest cover

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Relative orientation

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Digital Elevation ModelsDigital Terrain ModelDTM

Normalised Digital Surface Model – nDSM

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Adaptive TIN method

nDSM = DSM-DTM

Digital Surface ModelDSM

Fitting parabola method

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Digital Surface Model (DSM)

Functional model Tree height Single crowns Semi-continuous surface

Properties Highest points of the crowns Smooth surfaces inside the crowns Drop down to the ground between the crowns

Polynomial Approximation Approximation Local point filtering Maximum 2nd order surfaces

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Digital Terrain Model (DTM)

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Normalised Digital Surface Model (nDSM) and its detail

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Normalised Digital Surface Model, Canopy Height Model (nDSM – CHM)

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𝑛𝐷𝑆𝑀=𝐷𝑆𝑀−𝐷𝑇𝑀

HGFV cc

where:V: Volume of the stand (m3)Fc: form number for crown projection areaGc: Sum of crown projection area (m2)H: average stand height (m)

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Segmentation of the crownsInverse watershed

modelling Jenson and Domingue 1988Gougeon 1995Hyyppä, Inkinen 1999

Sinkpoints -> tipWatershed -> crown

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ResultsForest stand heightDistribution of the relative

heights of the points90% perc:29.25 m (39 m/34 m)

Delineation of sub-stands

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ResultsCrown-closure

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0.00 20.00 40.00 60.00 80.00 100.000

20

40

60

80

100

120

Z (üzemterv)

Z (üzemterv)

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ResultsDelineation of sub-stands

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ResultsNumber of treesOld stand:383 (227)

Reforestation:582 (100)

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ResultsVolume

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Reference measurements2014.04.03Kisbodak18P19C19E

National Forest Inventory method

Terrestrial Laser ScanningField Survey (ERTI)

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Further tasks

Reference data collection and processingForm-number determination for poplar standsCombination of Laser Scanning data with imagery data for improving automatic forest cover maps and forest parameters determination

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THANKS FOR YOUR ATTENTION!Further info: [email protected]

Acknowledgements:

INMEIN - HUSK/1101/1.2.1/0141

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