A review of sampling-based approaches for estimating landscape metrics.
Landscape metrics are generally calculated from complete land cover and land use maps. However, a relatively new approach has been to use sample data for the same purpose. The objective of the study was to review the literature on sampling methods for estimating landscape metrics. The advantages of...
| Publicado en: | Norwegian Journal of Geography Vol. 67; no. 2; pp. 61 - 72 |
|---|---|
| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Apr2013
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=87341834&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 87341834 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00291951 9DP jtl: Norwegian Journal of Geography issn: 00291951 maglogo: N pubinfo: dt: Apr2013 vid: 67 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 87341834 10.1080/00291951.2013.784800 ppf: 61 ppct: 11 formats: tig: atl: A review of sampling-based approaches for estimating landscape metrics. aug: au: Ramezani, Habib Holm, Sören Allard, Anna Ståhl, Göran affil: Department of Forest Resource Management, Swedish University of Agriculture Sciences (SLU), SE-901 83, Umeå, Sweden su: Environmental monitoring Land use Sampling (Process) Land cover Mathematical optimization sug: subj: Environmental monitoring Land use Sampling (Process) Land cover Mathematical optimization keyword: environmental monitoring programs landscape pattern analysis line intersect sampling plot sampling point sampling ab: Landscape metrics are generally calculated from complete land cover and land use maps. However, a relatively new approach has been to use sample data for the same purpose. The objective of the study was to review the literature on sampling methods for estimating landscape metrics. The advantages of using sampling include the possibility to derive metrics at low cost, the possibility of using existing survey data, and the possibility in some cases to attain improved accuracy through careful assessments at a limited number of sampling units rather than by crude assessments for all patches of a land cover map. Among the disadvantages are the estimation of some metrics with bias or that cannot be estimated at all, and to some extent handling of sample data requires practitioners to acquire new skills. In conclusion, sampling-based approaches for the estimation of landscape metrics appear promising. Interesting areas for further studies involve (1) the optimization of sample-based inventories with respect to landscape metric estimation, (2) comparisons of selected sampling-based approaches and “wall-to-wall” based approaches, where all relevant error sources and costs are included, and (3) further investigations of whether metrics can be redefined to better suit sample-based assessments without compromising interpretability. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
|---|