Testing the Applicability of the Official Croatian DTM for Normalization of UAV-based DSMs and Plot-level Tree Height Estimations in Lowland Forests Article Swipe
YOU?
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· 2019
· Open Access
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The Airborne Laser Scanning (ALS) technology has been implemented in operational forest inventories in a number of countries. At the same time, as a cost-effective alternative to ALS, Digital Aerial Photogrammetry (PHM), based on aerial images, has been widely used for the past 10 years. Recently, PHM based on Unmanned Aerial Vehicle (UAV) has attracted great attention as well. Compared to ALS, PHM is unable to penetrate the forest canopy and, ultimately, to derive an accurate Digital Terrain Model (DTM), which is necessary to normalize point clouds or Digital Surface Models (DSMs). Many countries worldwide, including Croatia, still rely on PHM, as they do not have complete DTM coverage by ALS (DTMALS). The aim of this study is to investigate if the official Croatian DTM generated from PHM (DTMPHM) can be used for data normalization of UAV-based Digital Surface Model (DSMUAV) and estimating plot-level mean tree height (HL) in lowland pedunculate oak forests. For that purpose, HL estimated from DSMUAV normalized with DTMPHM and with DTMALS were generated and compared as well as validated against field measurements. Additionally, elevation errors in DTMPHM were detected and eliminated, and the improvement by using corrected DTMPHM (DTMPHMc) was evaluated. Small, almost negligible variations in the results of the leave-oneout cross-validation were observed between HL estimated using proposed methods. Compared to field data, the relative root mean square error (RMSE%) values of HL estimated from DSMUAV normalized with DTMALS, DTMPHM, and DTMPHMc were 5.10%, 5.14%, and 5.16%, respectively. The results revealed that in the absence of DTMALS, the existing official Croatian DTM could be readily used in remote sensing based forest inventory of lowland forest areas. It can be noted that DTMPHMc did not improve the accuracy of HL estimates because the gross errors mainly occurred outside of the study plots. However, since the existence of the gross errors in Croatian DTMPHM has been confirmed by several studies, it is recommended to detect and eliminate them prior to using the DTMPHM in forest inventory.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://hrcak.srce.hr/217406
- https://hrcak.srce.hr/217406
- OA Status
- green
- Cited By
- 6
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2943218592
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2943218592Canonical identifier for this work in OpenAlex
- Title
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Testing the Applicability of the Official Croatian DTM for Normalization of UAV-based DSMs and Plot-level Tree Height Estimations in Lowland ForestsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-01-01Full publication date if available
- Authors
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Ivan Balenović, Luka Jurjević, Anita Šimić Milas, Mateo Gašparović, Danijela Ivanković, Ante SeletkovićList of authors in order
- Landing page
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https://hrcak.srce.hr/217406Publisher landing page
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https://hrcak.srce.hr/217406Direct link to full text PDF
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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https://hrcak.srce.hr/217406Direct OA link when available
- Concepts
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Normalization (sociology), Plot (graphics), Tree (set theory), Environmental science, Croatian, Remote sensing, Computer science, Mathematics, Statistics, Geology, Linguistics, Philosophy, Sociology, Anthropology, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
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2022: 3, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.source.display_name | University of Zagreb University Computing Centre (SRCE) |
| primary_location.source.host_organization | https://openalex.org/I181343428 |
| primary_location.source.host_organization_name | University of Zagreb |
| primary_location.source.host_organization_lineage | https://openalex.org/I181343428 |
| primary_location.license | other-oa |
| primary_location.pdf_url | https://hrcak.srce.hr/217406 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | https://openalex.org/licenses/other-oa |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | Croatian Journal of Forest Engineering : Journal for Theory and Application of Forestry Engineering |
| primary_location.landing_page_url | https://hrcak.srce.hr/217406 |
| publication_date | 2019-01-01 |
| publication_year | 2019 |
| referenced_works | https://openalex.org/W1999601230, https://openalex.org/W2595526652, https://openalex.org/W1963579278, https://openalex.org/W2758681934, https://openalex.org/W2627093455, https://openalex.org/W2811307883, https://openalex.org/W2163864703, https://openalex.org/W84227776, https://openalex.org/W1998869020, https://openalex.org/W2122450383, https://openalex.org/W2144963188, https://openalex.org/W2905245893, https://openalex.org/W2395179641, https://openalex.org/W1998025025, https://openalex.org/W2790966796, https://openalex.org/W2615436872, https://openalex.org/W1522525389, https://openalex.org/W1930004075, https://openalex.org/W2737923953, https://openalex.org/W2091939427, https://openalex.org/W1946682121, https://openalex.org/W2789200118, https://openalex.org/W2482464033, https://openalex.org/W2206801820, https://openalex.org/W2073768849, https://openalex.org/W2130464813, https://openalex.org/W2606424434, https://openalex.org/W2019549520, https://openalex.org/W2255206030, https://openalex.org/W2625031578, https://openalex.org/W2139053550, https://openalex.org/W2000345291, https://openalex.org/W1996263757, https://openalex.org/W2296685749, https://openalex.org/W3195234955, https://openalex.org/W2602191071, https://openalex.org/W2430239505 |
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| abstract_inverted_index.5.14%, | 240 |
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| abstract_inverted_index.clouds | 86 |
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| abstract_inverted_index.Croatia, | 96 |
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