Abstract
Monitoring soil erosion
in the Arctic tundra is complicated by the highly fragmentated nature
of the landscape and the limited spatial resolution of even
high-resolution satellite data. The expansion of shrubs across the
Arctic has led to substantial changes in vegetation composition that
alter the spectral reflectance and directly affect vegetation indices such as the normalized difference vegetation index
(NDVI), which is widely applied for environmental monitoring. This
change can mask soil erosion if datasets with too coarse spatial
resolutions are used, as increases in NDVI driven by shrub expansion can
obscure concurrent increases in barren land cover. Here we created land
cover maps from a multispectral uncrewed aerial vehicle (UAV) and land
cover survey and assessed satellite imagery from PlanetScope, Sentinel-2
and Landsat-8 for several areas in north-eastern Iceland. Additionally,
we used a novel application of the Shannon evenness index (SHEI) to
evaluate levels of pixel mixing. Our results show that shrub expansion
can lead to spectral confusion, which can obscure soil erosion processes
and emphasize the importance of considering spatial resolution when
monitoring highly fragmented landscapes. We demonstrate that remote
sensing data with a resolution < 3 m greatly improves the amount of
information captured in an Icelandic tundra environment. The spatial
resolution of Landsat
data (30 m) is inadequate for environmental monitoring in our study
area. We found that the best platform for monitoring tundra land cover
is Sentinel-2 when used in combination with multispectral UAV
acquisitions for validation. Our study has the potential to improve
environmental monitoring capabilities by introducing the use of SHEI to
assess pixel mixing and determine optimal spatial resolutions. This
approach combined with comparing remote sensing imagery of different
spatial and time scales significantly advances our comprehension of land
cover changes, including greening and soil degradation, in the Arctic tundra.
Original language | English |
---|---|
Article number | 113935 |
Number of pages | 17 |
Journal | Remote Sensing of Environment |
Volume | 301 |
Early online date | 12 Dec 2023 |
DOIs | |
Publication status | Published - 1 Feb 2024 |
Keywords
- Soil erosion
- Shrub expansion
- Arctic tundra
- Mixed pixel
- NDVI
- Shannon evenness index (SHEI)
Fingerprint
Dive into the research topics of 'Arctic tundra shrubification can obscure increasing levels of soil erosion in NDVI assessments of land cover derived from satellite imagery'. Together they form a unique fingerprint.Datasets
-
Multispectral UAV imagery and land cover maps of tundra rangeland in north-eastern Iceland, Aug-Sep 2021
Kodl, G. (Creator) & Streeter, R. T. (Contributor), University of St Andrews, 25 Jan 2024
DOI: 10.17630/f1e25320-7c79-4876-9719-4c1131cd8ed4
Dataset
File