Accuracy Assessment of Normalized Digital Surface Models from Aerial Images Regarding Tree Height Determination in Saxony, Germany
Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zimmermann, Sebastian [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 |
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| Übergeordnetes Werk: |
Enthalten in: PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Springer International Publishing, 2017, 85(2017), 4 vom: 24. Juli, Seite 257-263 |
|---|---|
| Übergeordnetes Werk: |
volume:85 ; year:2017 ; number:4 ; day:24 ; month:07 ; pages:257-263 |
| Links: |
|---|
| DOI / URN: |
10.1007/s41064-017-0021-4 |
|---|
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SPR038133229 |
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| 520 | |a Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. | ||
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10.1007/s41064-017-0021-4 doi (DE-627)SPR038133229 (SPR)s41064-017-0021-4-e DE-627 ger DE-627 rakwb eng Zimmermann, Sebastian verfasserin (orcid)0000-0003-3996-001X aut Accuracy Assessment of Normalized Digital Surface Models from Aerial Images Regarding Tree Height Determination in Saxony, Germany 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. Digital surface model (dpeaa)DE-He213 Image matching (dpeaa)DE-He213 Aerial imagery (dpeaa)DE-He213 Tree height (dpeaa)DE-He213 Hoffmann, Karina aut Enthalten in PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science Springer International Publishing, 2017 85(2017), 4 vom: 24. Juli, Seite 257-263 (DE-627)SPR038131196 2363-7145 nnns volume:85 year:2017 number:4 day:24 month:07 pages:257-263 https://dx.doi.org/10.1007/s41064-017-0021-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_70 GBV_ILN_72 AR 85 2017 4 24 07 257-263 |
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10.1007/s41064-017-0021-4 doi (DE-627)SPR038133229 (SPR)s41064-017-0021-4-e DE-627 ger DE-627 rakwb eng Zimmermann, Sebastian verfasserin (orcid)0000-0003-3996-001X aut Accuracy Assessment of Normalized Digital Surface Models from Aerial Images Regarding Tree Height Determination in Saxony, Germany 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. Digital surface model (dpeaa)DE-He213 Image matching (dpeaa)DE-He213 Aerial imagery (dpeaa)DE-He213 Tree height (dpeaa)DE-He213 Hoffmann, Karina aut Enthalten in PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science Springer International Publishing, 2017 85(2017), 4 vom: 24. Juli, Seite 257-263 (DE-627)SPR038131196 2363-7145 nnns volume:85 year:2017 number:4 day:24 month:07 pages:257-263 https://dx.doi.org/10.1007/s41064-017-0021-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_70 GBV_ILN_72 AR 85 2017 4 24 07 257-263 |
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10.1007/s41064-017-0021-4 doi (DE-627)SPR038133229 (SPR)s41064-017-0021-4-e DE-627 ger DE-627 rakwb eng Zimmermann, Sebastian verfasserin (orcid)0000-0003-3996-001X aut Accuracy Assessment of Normalized Digital Surface Models from Aerial Images Regarding Tree Height Determination in Saxony, Germany 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. Digital surface model (dpeaa)DE-He213 Image matching (dpeaa)DE-He213 Aerial imagery (dpeaa)DE-He213 Tree height (dpeaa)DE-He213 Hoffmann, Karina aut Enthalten in PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science Springer International Publishing, 2017 85(2017), 4 vom: 24. Juli, Seite 257-263 (DE-627)SPR038131196 2363-7145 nnns volume:85 year:2017 number:4 day:24 month:07 pages:257-263 https://dx.doi.org/10.1007/s41064-017-0021-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_70 GBV_ILN_72 AR 85 2017 4 24 07 257-263 |
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10.1007/s41064-017-0021-4 doi (DE-627)SPR038133229 (SPR)s41064-017-0021-4-e DE-627 ger DE-627 rakwb eng Zimmermann, Sebastian verfasserin (orcid)0000-0003-3996-001X aut Accuracy Assessment of Normalized Digital Surface Models from Aerial Images Regarding Tree Height Determination in Saxony, Germany 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. Digital surface model (dpeaa)DE-He213 Image matching (dpeaa)DE-He213 Aerial imagery (dpeaa)DE-He213 Tree height (dpeaa)DE-He213 Hoffmann, Karina aut Enthalten in PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science Springer International Publishing, 2017 85(2017), 4 vom: 24. Juli, Seite 257-263 (DE-627)SPR038131196 2363-7145 nnns volume:85 year:2017 number:4 day:24 month:07 pages:257-263 https://dx.doi.org/10.1007/s41064-017-0021-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_70 GBV_ILN_72 AR 85 2017 4 24 07 257-263 |
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Zimmermann, Sebastian |
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PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science |
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PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science |
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2017 |
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257 |
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Zimmermann, Sebastian Hoffmann, Karina |
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85 |
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Elektronische Aufsätze |
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Zimmermann, Sebastian |
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10.1007/s41064-017-0021-4 |
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| title_sort |
accuracy assessment of normalized digital surface models from aerial images regarding tree height determination in saxony, germany |
| title_auth |
Accuracy Assessment of Normalized Digital Surface Models from Aerial Images Regarding Tree Height Determination in Saxony, Germany |
| abstract |
Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. © Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 |
| abstractGer |
Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. © Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 |
| abstract_unstemmed |
Abstract The data acquisition from normalized digital surface models (nDSM), based on regularly conducted aerial image surveys, represents an efficient opportunity for forest enterprises to ensure topicality as well as quality for tree height information. Two of such image data sets—L60 (60% along-track/30% across-track) and L80 (80/40%)—were each used to create an nDSM for a 23.5 km%$^{2}%$ large study area in Saxony. The objective of the present study was to assess the accuracy of both nDSMs and to examine the influence of image overlap, tree type and terrain slope on the results of this accuracy assessment. Point clouds were initially extracted from the corresponding images using semi-global matching and were eventually used to create a digital surface model. An nDSM was produced by subtracting a digital terrain model to get absolute tree heights. The comparison between this nDSM and terrestrial measurements (n = 51) resulted in root mean square errors between 2.1 m and 2.2 m. Although opposing median values were found for the nDSMs based on L60 (−0.3 m) and L80 (0.5 m), no significance was found between the two models (Wilcoxon test, p = 0.16). However, large overlapping areas and lower terrain slopes have a positive effect on the completeness of the nDSM (L60: 92.9%, L80: 99.2%). Although the small number of measurements does not allow for more than the identification of a tendency, these results show the potential of image-based nDSMs for the regular update of tree height information in Saxony and beyond. © Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 2017 |
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Accuracy Assessment of Normalized Digital Surface Models from Aerial Images Regarding Tree Height Determination in Saxony, Germany |
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Hoffmann, Karina |
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