Daily raw images from time-lapse cameras acquired since 2005 at the Limnopolar Lake CALM site in Antarctica. The data is part of the PERMATHERMAL monitoring network, which began in 2000 and is led by Dr. Miguel Ángel de Pablo of Universidad de Alcalá. The network tracks seasonal and permanent frozen ground following GCOS principles.
Use Cases
- Analyze snow cover duration and melt timing from daily image sequences to model active layer thaw.
- Correlate visual surface conditions from camera images with in-situ ground temperature sensor data.
- Track seasonal phenological changes like lake ice formation and breakup at the Limnopolar Lake site.
- Validate and calibrate remote sensing data by comparing satellite imagery with ground-level time-lapse observations.
Strengths
- Long-term daily image collection started in 2005, providing over 15 years of visual records.
- Data is collected within a standardized 100x100 m CALM grid with nodes every 10 m for spatial context.
Limitations
- Images are raw and unprocessed, requiring significant preprocessing for quantitative analysis.
- Geographic scope is limited to specific sites on Livingston and Deception Islands, Antarctica.
- Sample data and total image count are unavailable, making dataset size and volume unclear.
Provenance
- Source
- PERMATHERMAL monitoring network led by Dr. Miguel Ángel de Pablo, Universidad de Alcalá.
- Collection Method
- Daily acquisition from phenomenological time-lapse cameras at the Limnopolar Lake CALM site (A25).
- Time Range
- Since 2005 (ongoing). Network started in 2000.
- Freshness
- null
- Geography
- Byers Peninsula, Livingston Island, South Shetland Archipelago, Antarctica.