1 / 14

Data set presentation - Swedish NFI data

Data set presentation - Swedish NFI data. Göran Kempe & Göran Ståhl SLU. Overview. Data set description Example of metadata records Comments on the metadata structure Comments on the visualisation toolkit. Our data sets. Data/information from the Swedish NFI

kristiej
Download Presentation

Data set presentation - Swedish NFI data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data set presentation- Swedish NFI data Göran Kempe & Göran Ståhl SLU

  2. Overview • Data set description • Example of metadata records • Comments on the metadata structure • Comments on the visualisation toolkit

  3. Our data sets • Data/information from the Swedish NFI • County-level estimates of forest parameters, such as areas of land use classes and volumes • Graphs (e.g. growth and drain) • Maps of forest characteristics (raster data) • Written reports (Official statistics yearbook)

  4. Metadata record – Swedish NFI data. Areas of land use classes 1. Title: Areas of land use classes from the Swedish NFI 2. Creator: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics Address: PostCode: S-90183 Street: Umeå Country: Sweden Telephone: +46 (0)907865825 Fax: +46 (0)90778116 Email: WebPage: http://www-riksskogstaxeringen.slu.se 3. Subject: Forest inventory - Forest resource, statistics - Land use class area - Forest land area 4. Description: Total land area by land use classes within counties 5. Publisher: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics 6. Contributor: 7. Date: Modified: 2003-08-01 8. Type: Dataset 9. Format: HTML, Excel 10. Identifier: http://www-nfi.slu.se/Resultat/98_02/T11_9802.xls 11. Source: Swedish National Forest Inventory. A randomly placed regular network of 1450 tracts (i.e cluster of sample plots) covering Sweden is inventoried every year. This corresponds to approximately 12000 circular plots, of which 6000 are on forested land. Two thirds of the tracts are permanent, the plots are re-inventoried every 5-10 year. Other tracts are temporary. 12. Language: Swedish/English 13. Relation: 14. Coverage: Sweden, counties 15. Rights: Public 16. Quality: The Swedish National Forest Inventory is designed to give estimates based on five years data with acceptable accuracy on county level. The estimated relative coefficient of variance of forest land area in Sweden is 0.8 percent, of total growing stock 1.0 per cent. Of course, the accuracy of estimates on county level is considerable lower. Data based on less than 20 sample plots are omitted. However, area data is always presented.

  5. Metadata record – Swedish NFI data. Volume by species and diameter 1. Title: Volume by species and diameter from the Swedish NFI 2. Creator: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics Address: PostCode: S-90183 Street: Umeå Country: Sweden Telephone: +46 (0)907865825 Fax: +46 (0)90778116 Email: WebPage: http://www-riksskogstaxeringen.slu.se 3. Subject: Forest inventory - Forest resource, statistics - Standing volume - Growing stock - Tree species - Diameter class 4. Description: Standing volume for different tree species by diameter class. Productive forest. 5. Publisher: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics 6. Contributor: 7. Date: Modified: 2003-08-01 8. Type: Dataset 9. Format: HTML, Excel 10. Identifier: http://www-nfi.slu.se/Resultat/98_02/T22_9802.xls 11. Source: Swedish National Forest Inventory. A randomly placed regular network of 1450 tracts (i.e cluster of sample plots) covering Sweden is inventoried every year. This corresponds to approximately 12000 circular plots, of which 6000 are on forested land. Two thirds of the tracts are permanent, the plots are re-inventoried every 5-10 year. Other tracts are temporary. 12. Language: Swedish/English 13. Relation: 14. Coverage: Sweden, counties 15. Rights: Public 16. Quality: The Swedish National Forest Inventory is designed to give estimates based on five years data with acceptable accuracy on county level. The estimated relative coefficient of variance of forest land area in Sweden is 0.8 percent, of total growing stock 1.0 per cent. Of course, the accuracy of estimates on county level is considerable lower. Data based on less than 20 sample plots are omitted. However, area data is always presented.

  6. Metadata record – Swedish NFI data. Graph – growth and drain 1. Title: Growth and drain (graph) from then Swedish NFI 2. Creator: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics Address: PostCode: S-90183 Street: Umeå Country: Sweden Telephone: +46 (0)907865825 Fax: +46 (0)90778116 Email: WebPage: http://www-riksskogstaxeringen.slu.se 3. Subject: Forest inventory - Forest resource, statistics - Growth - Drain - Annual felling - Felling type 4. Description: Annual growtht, drain and fellings. Time series for the period 1956-1999. All land use classes. 5. Publisher: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics 6. Contributor: 7. Date: Modified: 2003-08-01 8. Type: Dataset 9. Format: Pdf, Powerpoint 10. Identifier: http://www-nfi.slu.se/Resultat/figurer/TvA.ppt 11. Source: Swedish National Forest Inventory. A randomly placed regular network of 1450 tracts (i.e cluster of sample plots) covering Sweden is inventoried every year. This corresponds to approximately 12000 circular plots, of which 6000 are on forested land. Two thirds of the tracts are permanent, the plots are re-inventoried every 5-10 year. Other tracts are temporary. 12. Language: Swedish/English 13. Relation: 14. Coverage: Sweden 15. Rights: Public 16. Quality: The Swedish National Forest Inventory is designed to give estimates based on five years data with acceptable accuracy on county level. The estimated relative coefficient of variance of forest land area in Sweden is 0.8 percent, of total growing stock 1.0 per cent. Of course, the accuracy of estimates on county level is considerable lower. Data based on less than 20 sample plots are omitted. However, area data is always presented.

  7. Metadata record – Swedish NFI data. Map of forest site quality 1. Title: Map of forest site quality from the Swedish NFI 2. Creator: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics Address: PostCode: S-90183 Street: Umeå Country: Sweden Telephone: +46 (0)907865825 Fax: +46 (0)90778116 Email: WebPage: http://www-riksskogstaxeringen.slu.se 3. Subject: Forest inventory - Forest resource, statistics - Site productivity 4. Description: Average forest site productivity 5. Publisher: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics 6. Contributor: 7. Date: Modified: 2000-08-01 8. Type: Map 9. Format: GIF 10. Identifier: http://www-nfi.slu.se/ 11. Source: Swedish National Forest Inventory. A randomly placed regular network of 1450 tracts (i.e cluster of sample plots) covering Sweden is inventoried every year. This corresponds to approximately 12000 circular plots, of which 6000 are on forested land. Two thirds of the tracts are permanent, the plots are re-inventoried every 5-10 year. Other tracts are temporary. 12. Language: Swedish/English 13. Relation: 14. Coverage: Sweden 15. Rights: Public 16. Quality: The Swedish National Forest Inventory is designed to give estimates based on five years data with acceptable accuracy on county level. The estimated relative coefficient of variance of forest land area in Sweden is 0.8 percent, of total growing stock 1.0 per cent. Of course, the accuracy of estimates on county level is considerable lower. Data based on less than 20 sample plots are omitted. However, area data is always presented.

  8. Metadata record – Swedish NFI data. Official statistics yearbook 1. Title: Skogsdata 2003 - Official statistics yearbook from the Swedish NFI 2. Creator: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics Address: PostCode: S-90183 Street: Umeå Country: Sweden Telephone: +46 (0)907865825 Fax: +46 (0)90778116 Email: WebPage: http://www-riksskogstaxeringen.slu.se 3. Subject: Forest inventory - Forest resource, statistics report 4. Description: SKOGSDATA 2003. Official statistics of forest resources in Sweden 5. Publisher: The Swedish University of Agricultural Sciences, Department of Resource Management and Geomatics 6. Contributor: 7. Date: Created: 2003-08-01 8. Type: Report . 9. Format: Text 10. Identifier: http://www-nfi.slu.se/ 11. Source: Swedish National Forest Inventory. A randomly placed regular network of 1450 tracts (i.e cluster of sample plots) covering Sweden is inventoried every year. This corresponds to approximately 12000 circular plots, of which 6000 are on forested land. Two thirds of the tracts are permanent, the plots are re-inventoried every 5-10 year. Other tracts are temporary. 12. Language: Swedish/English 13. Relation: 14. Coverage: Sweden, counties 15. Rights: Public 16. Quality: The Swedish National Forest Inventory is designed to give estimates based on five years data with acceptable accuracy on county level. The estimated relative coefficient of variance of forest land area in Sweden is 0.8 percent, of total growing stock 1.0 per cent. Of course, the accuracy of estimates on county level is considerable lower. Data based on less than 20 sample plots are omitted. However, area data is always presented

  9. Comments on the metadata structure • Seems to work reasonably well! • Some problems with subject keywords; what hierarchy to use? • Some problems to describe printed reports? • Only very general descriptions on definitions and quality will be possible to present? Is that sufficient?

  10. Comments on the visualisation toolkit • Very advanced and good! • But mainly for rather experienced users? Will there be a need for standardised presentations?

More Related