Relascope sum of Sitka spruce Picea sitchensis in Fusa and Tysnes

Dernière version Publié par Norwegian University of Life Sciences (NMBU) le Dec 13, 2019 Norwegian University of Life Sciences (NMBU)

Invasive species can be considered a threat to biodiversity, and remote sensing has been proposed as a tool for detection and monitoring of invasive species. In this study, we test the ability to discriminate between two tree species of the same genera, using data from Landsat 8 satellite imagery, aerial images, and airborne laser scanning. Ground observations from forest stands dominated by either Norway spruce (Picea abies) or Sitka spruce (Picea sitchensis) were coupled with variables derived from each of the three sets of remote sensing data. Random forest, support vector machine, and logistic regression classification models were fit to the data, and the classification accuracy tested by performing a cross-validation. Classification accuracies were compared for different combinations of remote sensing data and classification methods. The overall classification accuracy varied from 0.53 to 0.79, with the highest accuracy obtained using logistic regression with a combination of data derived from Landsat imagery and aerial images. The corresponding kappa value was 0.58. The contribution to the classification accuracy from using airborne data in addition to Landsat imagery was not substantial in this study. The classification accuracy varied between models using data from individual Landsat images.

The study area is within the Fusa and Tysnes municipalities on the western coast of Norway (60°2′N, 5°46′E, 0–500 m above sea level, Figure 1). The forest is naturally dominated by Scots pine and deciduous species, mainly birch (Betula pubescens). From the 1940s and throughout the second part of the twentieth century, regeneration using non-native tree species—such as Sitka spruce—was common in this region on the west coast of Norway. Note that Norway spruce is also considered non-native in parts of this region. The productive forest area is about 260 km2, and the species composition is approximately 13% spruce, 66% pine, and 20% deciduous trees. Three sets of field observations were utilized in the present study, with observations from a total of 240 individual locations. All locations were situated in a spruce-dominated forest, and the proportions of Sitka spruce and Norway spruce were recorded for all locations. A total of 113 locations were dominated by Sitka spruce, and 127 were dominated by Norway spruce. Two of the sets were initially collected as a part of the data acquisition in other research and forest inventory projects.

Field measurements with the main purpose of increasing the number of observations from locations dominated by Sitka spruce was carried out during the summer of 2015. From an initial set of all forest stands in the study area dominated by Sitka spruce, 30 stands were subjectively chosen for measurements. With an initial goal of having the observations evenly spread out in the study area, the selection was ultimately guided by accessibility from, e.g., forest roads. The selection of the 30 stands were carried out prior to visiting the stands in the field, with the exception of a few occasions in which a nearby stand was measured instead due to severe storm felling in the originally chosen stand. Within the selected stands, three locations were subjectively chosen, guided by these criteria: the locations are evenly spread out in the stand and are preferably not close to stand borders. At each of the three locations, the proportions of the basal area of Sitka spruce versus other species were recorded using a relascope.

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Les données de cette ressource données d'échantillonnage ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 90 enregistrements. 2 tableurs de données d'extension existent également. Un enregistrement d'extension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre d'enregistrements dans chaque tableur de données d'extension est illustré ci-dessous.

  • Event (noyau)
    90
  • MeasurementOrFact 
    90
  • Occurrence 
    87

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Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Hauglin, M.; Ørka, H.O. Discriminating between Native Norway Spruce and Invasive Sitka Spruce—A Comparison of Multitemporal Landsat 8 Imagery, Aerial Images and Airborne Laser Scanner Data. Remote Sens. 2016, 8, 363.

Droits

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L’éditeur et détenteur des droits de cette ressource est Norwegian University of Life Sciences (NMBU). This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 44ef1f04-b01c-4b42-8baa-679e26ce43bc.  Norwegian University of Life Sciences (NMBU) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF Norway.

Mots-clé

Samplingevent; tree species classification; invasive species; Sitka spruce

Contacts

Personne ayant créé cette ressource:

Hans Ole Ørka
NMBU Ås NO

Personne pouvant répondre aux questions sur la ressource:

Hans Ole Ørka
NMBU Ås NO

Personne ayant renseigné les métadonnées:

Mari Steinert
NMBU Ås NO

Autres personnes associées à la ressource:

Utilisateur
Christian Svindseth

Couverture taxonomique

Picea sitchensis

Species  Picea sitchensis

Données sur le projet

Pas de description disponible

Titre Use of remote sensing for mapping of non-native conifer species
Financement The project was funded by the Norwegian Environment Agency and conducted from November 2014 to November 2015.

Les personnes impliquées dans le projet:

Auteur
Hans Ole Ørka
Auteur
Knut Marius Hauglin

Métadonnées additionnelles

Identifiants alternatifs 44ef1f04-b01c-4b42-8baa-679e26ce43bc
https://ipt.gbif.no/resource?r=sitka