%PDF-1.4 % 1 0 obj << /Type /Pages /Count 2 /Kids [ 2 0 R 122 0 R ] >> endobj 2 0 obj << /Type /Page /Parent 1 0 R /Resources << /ProcSet [ /PDF /Text /ImageB /ImageC /ImageI ] /Font << /QuickPDFF48376310 74 0 R /QuickPDFF944efdd7 121 0 R >> >> /Contents [ 5 0 R ] /MediaBox [ 0 0 595.2756 841.8898 ] /CropBox [ 0 0 595.2756 841.8898 ] >> endobj 3 0 obj << /Type /Catalog /Pages 1 0 R /Metadata 124 0 R >> endobj 4 0 obj << /Producer (Debenu Quick PDF Library 11.15 \(www.debenu.com\)) /Creator (Debenu Quick PDF Library 11.15 \(www.debenu.com\)) /CreationDate (D:20220919115705+02'00') /ModDate (D:20220919115708+02'00') >> endobj 5 0 obj << /Length 3522 /LC /iSQP >> stream 0 Tr /QuickPDFF944efdd7 14 Tf 0 0 0 rg 100 Tz 0 Tw 0 Tc 0 Ts BT 1 0 0 1 64.0898 770.8329 Tm (Comparison and Evaluation of Image Matching and Airborne Laser Scanning)Tj 1 0 0 1 144.7998 752.1709 Tm (Point Clouds for Generating Canopy Height Model)Tj ET /QuickPDFF944efdd7 11 Tf 0 0 0 rg BT 1 0 0 1 183.8098 717.2179 Tm (Anna Patek-ak and Dorota Zawieska \(Poland\))Tj ET /QuickPDFF944efdd7 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 675.188 Tm 14.663 TL (Key words: )' ET /QuickPDFF48376310 11 Tf 0 0 0 rg BT 1 0 0 1 141.7323 675.188 Tm 14.454 TL (Laser scanning; Photogrammetry; Remote sensing; image matching; airborne laser)' (scanning; Biebrza National Park; Canopy Height Model)' ET /QuickPDFF944efdd7 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 632.6683 Tm 14.663 TL (SUMMARY)' ET /QuickPDFF48376310 10 Tf 0 0 0 rg BT 1 0 0 1 56.6929 163.8497 Tm 13.14 TL (__________________________________________________________________________________________)' ()' (Comparison and Evaluation of Image Matching and Airborne Laser Scanning Point Clouds for Generating Canopy)' (Height Model \(11440\))' (Anna Patek-ak and Dorota Zawieska \(Poland\))' ()' (FIG Congress 2022)' (Volunteering for the future - Geospatial excellence for a better living)' (Warsaw, Poland, 1115 September 2022)' ET /QuickPDFF48376310 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 604.3219 Tm 14.454 TL (Accurate knowledge of the condition of forests allows for rational forest management. The use of aerial)' (images and airborne laser scanning point clouds is on the rise for this purpose. It will enable to study)' (individual trees and conduct precision forestry. Because photogrammetric data are freely available on the)' (geoportal for the entire area of Poland, there are opportunities to use them on a broader scale in rational)' (forest management. The experiment aimed to evaluate the possibility of using the aerial data to generate the)' (Canopy Height Model. Aerial photos and LiDAR point clouds were used. The data covered the area of the)' (Biebrza National Park. They were obtained as part of the HabitARS project: The innovative approach)' (supporting monitoring of non-forest Natura 2000 habitats, using remote sensing methods. The project was)' (carried out in 20162019 as part of the BIOSTRATEG II program and funded by The National Centre for)' (Research and Development in Poland. )' ()' (The generated Canopy Height Models based on image matching point clouds were compared with those)' (from airborne laser scanning. Canopy Height Model based on airborne laser scanning data proved to be)' (better quality. It maps the shape of the canopies more accurately. The boundaries between tree canopies are)' (more clearly marked on the CHM generated from LiDAR data. Single trees and groups of trees on LiDAR)' (CHM are more distinguishable than CHM based on image matching. Moreover, the boundaries of individual)' (canopies are fuzzy on the CHM generated from image matching point clouds. Many details are smoothed out)' (and indistinct. The most significant differences in height values between models occur on the edges of the)' (forest stand and in the free spaces between trees. The great advantage of LiDAR data is the ability of the)' (laser beam to penetrate through the vegetation. It enables to get more detailed stand characteristics and)' (information about the ground under the vegetation. The image matching point cloud has different)' (characteristics. Vegetation is often a source of errors in matching images. Errors in height appear )' ET endstream endobj 6 0 obj << /Length 316 /Filter /FlateDecode >> stream xMRKnCAۿSpk`y^Uu[jIɒT%C/:b}Rx\%=
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