Relascope sum of Sitka spruce Picea sitchensis in Fusa and Tysnes

最新バージョン Norwegian University of Life Sciences (NMBU) によって公開 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.

データ レコード

この sampling event リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、90 レコードが含まれています。 拡張データ テーブルは2 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

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

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

ダウンロード

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 90 レコード English で (16 KB) - 更新頻度: not planned
EML ファイルとしてのメタデータ ダウンロード English で (8 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (9 KB)

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

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.

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Norwegian University of Life Sciences (NMBU)。 This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 44ef1f04-b01c-4b42-8baa-679e26ce43bcが割り当てられています。   GBIF Norway によって承認されたデータ パブリッシャーとして GBIF に登録されているNorwegian University of Life Sciences (NMBU) が、このリソースをパブリッシュしました。

キーワード

Samplingevent; tree species classification; invasive species; Sitka spruce

連絡先

リソースを作成した人:

Hans Ole Ørka
NMBU Ås NO

リソースに関する質問に答えることができる人:

Hans Ole Ørka
NMBU Ås NO

メタデータを記載した人:

Mari Steinert
NMBU Ås NO

他に、リソースに関連付けられていた人:

データ利用者
Christian Svindseth

生物分類学的範囲

Picea sitchensis

Species  Picea sitchensis

プロジェクトデータ

説明がありません

タイトル Use of remote sensing for mapping of non-native conifer species
ファンデイング The project was funded by the Norwegian Environment Agency and conducted from November 2014 to November 2015.

プロジェクトに携わる要員:

論文著者
Hans Ole Ørka
論文著者
Knut Marius Hauglin

追加のメタデータ

代替識別子 44ef1f04-b01c-4b42-8baa-679e26ce43bc
https://ipt.gbif.no/resource?r=sitka