A High Spatial Resolution Satellite Remote Sensing Time Series Analysis of Cape Bounty, Melville Island, Nunavut (2004–2018)

• Published in: Canadian Journal of Remote Sensing
• Main Authors: V. Freemantle, J. Freemantle, D. Atkinson, P. Treitz
• Format: Article in Journal/Newspaper
• Language: English; French
• Published: Taylor & Francis Group 2020
• Subjects: Environmental sciences; GE1-350; Technology; T; Arctic; Cape Bounty; Nunavut; Melville Island
• Online Access: https://doi.org/10.1080/07038992.2020.1866979; https://doaj.org/article/0d52b9c5b06e44fb92087db5fdbe03f4

Changes in vegetation have been observed in areas of the Arctic due to changing climate. This study examines a normalized difference vegetation index (NDVI) time series (2004–2018) of high spatial resolution satellite data (i.e., IKONOS, WorldView-2, WorldView-3) to determine if vegetation abundance has changed over the Cape Bounty Arctic Watershed Observatory, Melville Island, Nunavut. Image data were corrected to top-of-atmosphere reflectance and normalized for time series analysis using the pseudo-invariant feature (PIF) method. Percent vegetation cover measurements and indices derived from local climate data (growing degree days base 5 °C; GDD5) were used to contextualize NDVI trends in different vegetation types and within active layer detachments (ALDs). NDVI showed similar patterns within the different vegetation types and across the ALDs. There was no significant change in NDVI nor in GDD5 over time. However, there were statistically significant (p < 0.05) relationships between the GDD5 and NDVI for all vegetation types. Using field measurements with high spatial resolution remote sensing data helps link changes in NDVI with changes to vegetation and earth surface processes. The challenges of integrating high spatial resolution satellite data from different sensors in a time series analysis are also discussed.