Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy

Permafrost landscapes are one of the earth´s landscapes most affected by climate change. Thus, monitoring these landscapes is necessary. Vegetation cover and vegetation composition often serve as an indicator for the state of the permafrost and thus need to be monitored accordingly. This thesis uses...

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Main Author: Stadie, Carl Christoph
Format: Thesis
Language:unknown
Published: 2022
Subjects:
Online Access:https://epic.awi.de/id/eprint/57102/
https://epic.awi.de/id/eprint/57102/1/Carl_Stadie_Bachelorthesis.pdf
https://hdl.handle.net/10013/epic.0ddf5295-d51e-44d2-81db-370c6ad06f78
id ftawi:oai:epic.awi.de:57102
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spelling ftawi:oai:epic.awi.de:57102 2023-10-09T21:44:01+02:00 Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy Stadie, Carl Christoph 2022-09-20 application/pdf https://epic.awi.de/id/eprint/57102/ https://epic.awi.de/id/eprint/57102/1/Carl_Stadie_Bachelorthesis.pdf https://hdl.handle.net/10013/epic.0ddf5295-d51e-44d2-81db-370c6ad06f78 unknown https://epic.awi.de/id/eprint/57102/1/Carl_Stadie_Bachelorthesis.pdf Stadie, C. C. (2022) Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy , Bachelor thesis, hdl:10013/epic.0ddf5295-d51e-44d2-81db-370c6ad06f78 EPIC347 p. Thesis notRev 2022 ftawi 2023-09-24T23:22:06Z Permafrost landscapes are one of the earth´s landscapes most affected by climate change. Thus, monitoring these landscapes is necessary. Vegetation cover and vegetation composition often serve as an indicator for the state of the permafrost and thus need to be monitored accordingly. This thesis uses a non-classificatory ordination approach to map species composition in the central Lena delta in Russia. It further describes patterns to be found within the central Lena delta´s species composition as well as which kind of data serves best as a basis for vegetation composition mapping. Partial Components Analysis (PCA) was used to extract species composition and floristic gradients from a dataset collected during the expedition LENA-2018. The extracted values were combined using different kinds of spectral input data, both hyper- and multispectral, as well as aggregated and non-aggregated, to train a Partial Least Square Regressor (PLSR). Species composition was mapped using a Sentinel 2 image from August 2018. It was shown that species composition was dominated by Mosses, Carex chordorrhiza, Salix glauca, Salix pulchra, Eriophorum vaginatum and Poaceae. Each species was linked to a specific type of landform. Hyperspectral, aggregated data performed best as predictor variables, but due to the lack of hyperspectral imagery, the aggregated multispectral data can also be used as it leads to satisfying results. These results indicated that species composition mapping in permafrost landscapes is possible although to a lesser degree of accuracy compared to lower latitudes. These observations could pave the way further studies resulting in a more detailed description of permafrost properties related to species composition like active layer thickness or greenhouse gas content. Thesis Active layer thickness lena delta permafrost Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Permafrost landscapes are one of the earth´s landscapes most affected by climate change. Thus, monitoring these landscapes is necessary. Vegetation cover and vegetation composition often serve as an indicator for the state of the permafrost and thus need to be monitored accordingly. This thesis uses a non-classificatory ordination approach to map species composition in the central Lena delta in Russia. It further describes patterns to be found within the central Lena delta´s species composition as well as which kind of data serves best as a basis for vegetation composition mapping. Partial Components Analysis (PCA) was used to extract species composition and floristic gradients from a dataset collected during the expedition LENA-2018. The extracted values were combined using different kinds of spectral input data, both hyper- and multispectral, as well as aggregated and non-aggregated, to train a Partial Least Square Regressor (PLSR). Species composition was mapped using a Sentinel 2 image from August 2018. It was shown that species composition was dominated by Mosses, Carex chordorrhiza, Salix glauca, Salix pulchra, Eriophorum vaginatum and Poaceae. Each species was linked to a specific type of landform. Hyperspectral, aggregated data performed best as predictor variables, but due to the lack of hyperspectral imagery, the aggregated multispectral data can also be used as it leads to satisfying results. These results indicated that species composition mapping in permafrost landscapes is possible although to a lesser degree of accuracy compared to lower latitudes. These observations could pave the way further studies resulting in a more detailed description of permafrost properties related to species composition like active layer thickness or greenhouse gas content.
format Thesis
author Stadie, Carl Christoph
spellingShingle Stadie, Carl Christoph
Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy
author_facet Stadie, Carl Christoph
author_sort Stadie, Carl Christoph
title Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy
title_short Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy
title_full Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy
title_fullStr Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy
title_full_unstemmed Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy
title_sort mapping species composition in the permafrost environments of the central lena delta - an approach using ordination analysis and field spectroscopy
publishDate 2022
url https://epic.awi.de/id/eprint/57102/
https://epic.awi.de/id/eprint/57102/1/Carl_Stadie_Bachelorthesis.pdf
https://hdl.handle.net/10013/epic.0ddf5295-d51e-44d2-81db-370c6ad06f78
genre Active layer thickness
lena delta
permafrost
genre_facet Active layer thickness
lena delta
permafrost
op_source EPIC347 p.
op_relation https://epic.awi.de/id/eprint/57102/1/Carl_Stadie_Bachelorthesis.pdf
Stadie, C. C. (2022) Mapping Species Composition in the Permafrost Environments of the Central Lena Delta - An Approach using Ordination Analysis and Field Spectroscopy , Bachelor thesis, hdl:10013/epic.0ddf5295-d51e-44d2-81db-370c6ad06f78
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