Literature DB >> 28954702

Evaluation of the use of very high resolution aerial imagery for accurate ice-wedge polygon mapping (Adventdalen, Svalbard).

Maura Lousada1, Pedro Pina2, Gonçalo Vieira3, Lourenço Bandeira1, Carla Mora3.   

Abstract

The main objective of this paper is to verify the accuracy of delineating and characterizing ice-wedge polygonal networks with features exclusively extracted from remotely sensed images of very high resolution. This kind of mapping plays a key role for quantifying ice-wedge degradation in warming permafrost. The evaluation of mapping a network is performed in this study with two sets of aerial images that are compared to ground reference data determined by fieldwork on the same network, located in Adventdalen, Svalbard (78°N). One aerial dataset is obtained from a photogrammetric survey with RGB+NIR imagery of 20cm/pixel, the other from an UAV (Unmanned Aerial Vehicle) survey that acquired RGB images of 6cm/pixel of spatial resolution. Besides evaluating the degree of matching between the delineations, the morphometric and topological features computed for the differently mapped versions of the network are also confronted, to have a more solid basis of comparison. The results obtained are similar enough to admit that remotely sensed images of very high resolution are an adequate support to provide extensive characterizations and classifications of this kind of patterned ground.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Delineation; Geometry; Ice-wedge polygons; Mapping; Permafrost; Remote sensing; Topology

Year:  2017        PMID: 28954702     DOI: 10.1016/j.scitotenv.2017.09.153

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research.

Authors:  Virve Ravolainen; Eeva M Soininen; Ingibjörg Svala Jónsdóttir; Isabell Eischeid; Mads Forchhammer; René van der Wal; Åshild Ø Pedersen
Journal:  Ambio       Date:  2020-01-18       Impact factor: 5.129

  1 in total

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