Satellite monitoring of Greenland wintertime buried lake drainage

This repository provides the code and datasets corresponding to the manuscript "Satellite monitoring of Greenland wintertime buried lake drainage and potential ice flow response", and includes two folders:
1. Buried_lake_drainage_code
This folder contains two Python Jupyter Notebooks for detecting wintertime buried lake drainages (BLDs). The "step1_Detecting_σ0_variations.ipynb" Jupyter Notebook detects σ⁰ variations within depressions using Sentinel-1 imagery from Google Earth Engine (GEE) and depression data provided in the "Input_data" folder. The "step2_Assessing_summertime_meltwater.ipynb" Jupyter Notebook assesses maximum summertime meltwater areas using the output file from step 1, Sentinel-2 imagery from GEE, and depression data provided in the "Input_data" folder.
Detailed descriptions of each intermediate output file and the attributes in the final result file are provided in "Output_description.xlsx".
2. Buried_lake_drainage_dataset
This folder contains two Shapefiles of BLDs on the Greenland Ice Sheet detected during winters of 2017–2023. "buried_lake_drainage_type1_type2" represents complete BLDs and partial BLDs, while "buried_lake_drainage_type3" represents low-confidence BLDs.
The attribute table of each Shapefile contains a total of 10 attributes, including BLD ID, year, basin, date, depression ID, longitude, latitude, s1_before (Sentinel-1 acquisition date before drainage), s1_after (Sentinel-1 acquisition date after drainage), and BLD type (1–complete BLD; 2–partial BLD; 3–low-confidence BLD).