A remote sensing-guided forest inventory concept using multispectral 3D and height information from ZiYuan-3 satellite data Article Swipe
Adelheid Wallner
,
S. Friedrich
,
Emanuel Geier
,
Christoph Meder-Hokamp
,
Zillin Wei
,
Mengistie Kindu
,
Jiaojiao Tian
,
Martin Döllerer
,
Thomas Schneider
,
Thomas Knoke
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1093/forestry/cpab055
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1093/forestry/cpab055
Increased frequencies of storms and droughts due to climate change are changing central European forests more rapidly than in previous decades. To monitor these changes, multispectral 3D remote sensing (RS) data can provide relevant information for forest management and inventory. In this case study, data of the multispectral 3D-capable satellite system ZiYuan-3 (ZY-3) were used in a RS-guided forest inventory concept to reduce the field sample size compared to the standard grid inventory. We first pre-stratified the forest area via the ZY-3 dataset into coniferous, broadleaved and mixed forest types using object-based image analysis. Each forest type was then split into three height strata using the ZY-3 stereo module-derived digital canopy height model (CHM). Due to limited sample sizes, we reduced the nine to six strata. Then, for each of the six strata, we randomly selected representative segments for inventory plot placement. We then conducted field inventories in these plots. The collected field data were used to calculate forest attributes, such as tree species composition, timber volume and canopy height at plot level (terrestrially measured tree height and height information from ZY-3 CHM). Subsequently, we compared the resulting forest attributes from the RS-guided inventory with the reference data from a grid inventory based only on field plots. The difference in mean timber volumes to the reference was +30.21 m3ha−1 (8.99 per cent) for the RS-guided inventory with terrestrial height and −11.32 m3ha−1 (−3.37 per cent) with height information from ZY-3 data. The relative efficiency (RE) indicator was used to compare the different sampling schemes. The RE as compared to a random reduction of the sample size was 1.22 for the RS-guided inventory with terrestrial height measurements and 1.85 with height information from ZY-3 data. The results show that the presented workflow based on 3D ZY-3 data is suitable to support forest inventories by reducing the sample size and hence potentially increase the inventory frequency.
Related Topics
Concepts
Forest inventory
Environmental science
Multispectral image
Remote sensing
Tree canopy
Canopy
Satellite
Multispectral pattern recognition
Inventory valuation
Sample (material)
Forest management
Geography
Agroforestry
Engineering
Archaeology
Economics
Operations management
Aerospace engineering
Chemistry
Chromatography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/forestry/cpab055
- https://academic.oup.com/forestry/advance-article-pdf/doi/10.1093/forestry/cpab055/41988273/cpab055.pdf
- OA Status
- bronze
- Cited By
- 9
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206669941
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4206669941Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/forestry/cpab055Digital Object Identifier
- Title
-
A remote sensing-guided forest inventory concept using multispectral 3D and height information from ZiYuan-3 satellite dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-12-03Full publication date if available
- Authors
-
Adelheid Wallner, S. Friedrich, Emanuel Geier, Christoph Meder-Hokamp, Zillin Wei, Mengistie Kindu, Jiaojiao Tian, Martin Döllerer, Thomas Schneider, Thomas KnokeList of authors in order
- Landing page
-
https://doi.org/10.1093/forestry/cpab055Publisher landing page
- PDF URL
-
https://academic.oup.com/forestry/advance-article-pdf/doi/10.1093/forestry/cpab055/41988273/cpab055.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/forestry/advance-article-pdf/doi/10.1093/forestry/cpab055/41988273/cpab055.pdfDirect OA link when available
- Concepts
-
Forest inventory, Environmental science, Multispectral image, Remote sensing, Tree canopy, Canopy, Satellite, Multispectral pattern recognition, Inventory valuation, Sample (material), Forest management, Geography, Agroforestry, Engineering, Archaeology, Economics, Operations management, Aerospace engineering, Chemistry, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 4, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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