Relascope sum of Sitka spruce Picea sitchensis in Fusa and Tysnes

最新版本 由 Norwegian University of Life Sciences (NMBU) 發佈於 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.

Data Records

The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 90 records. 2 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

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

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

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下載最新版本的Darwin Core Archive (DwC-A)資源,或資源元數據的EML或RTF文字檔。

DwC-A資料集 下載 90 紀錄 在 English 中 (16 KB) - Update frequency: 無計畫更新
元數據EML檔 下載 在 English 中 (8 KB)
元數據RTF文字檔 下載 在 English 中 (9 KB)

版本

The table below shows only published versions of the resource that are publicly accessible.

如何引用

研究者應依照以下指示引用此資源。:

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.

Rights

研究者應尊重以下權利聲明。:

The publisher and rights holder of this work is Norwegian University of Life Sciences (NMBU). This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: 44ef1f04-b01c-4b42-8baa-679e26ce43bc。  Norwegian University of Life Sciences (NMBU) 發佈此資源,並經由GBIF Norway同意向GBIF註冊成為資料發佈者。

關鍵字

Samplingevent; tree species classification; invasive species; Sitka spruce

聯絡資訊

資源建立者:

Hans Ole Ørka
NMBU Ås NO

可回覆此資源相關問題者:

Hans Ole Ørka
NMBU Ås NO

元數據填寫者:

Mari Steinert
NMBU Ås NO

與此資源的相關者:

使用者
Christian Svindseth

分類群涵蓋範圍

Picea sitchensis

Species  Picea sitchensis

計畫資料

無相關描述

計畫名稱 Use of remote sensing for mapping of non-native conifer species
經費來源 The project was funded by the Norwegian Environment Agency and conducted from November 2014 to November 2015.

The personnel involved in the project:

作者
Hans Ole Ørka
作者
Knut Marius Hauglin

額外的元數據

替代的識別碼 44ef1f04-b01c-4b42-8baa-679e26ce43bc
https://ipt.gbif.no/resource?r=sitka