IceSat-2 Snowdepth and SWE over mountains: a workflow using satellite laser altimetry to resolve topography/SWE(snow water equivalent) over complex terrain.
Compare and evaluate ICESat-2 data with high resolution DEMs (airborne lidar/satellite stereo) collected at lower latitudes, charecterize accuracy and explore potential of seasonal SWE estimation. We will be building upon 2019 ICESat-2 HackWeek projects, namely topohack and .
- David Hill
- Friedrich Knuth
- Jawairia Ahmad
- Michelle Hu
- Aimee Barciauskas
- Rosemary Willatt
- Isobel Lawrence
- ICESat-2 ATL06 (20 m resolution)
- ICESat-2 ATL03 (geolocated points along track)
- ICESat-2 [ATL08] (surface classification)
- Bareground data (LULC for US
- ASO Lidar
- WADNR Lidar
- C-SNOW
- Learn how to access ICESat-2 data efficiently with icepyx.
- Evaluate/Compare the topography resolved by ICESat-2 ATLO6 and ATL03 profiles along steep mountains with topographic profiles returned from high-resolution DEMs.
- Classify IceSat-2 ATL06 or ATL03 measurements as snow-on or snow-off using remote sensing product such as C-SNOW.
- Get a sense of snow accumulation (depth) by comparing Snow-off DEM over Grand Mesa and other ASO sites with winter (October to February) IceSat-2 collects.
- Snow-depth to SWE conversion.
- Evaluate the accuaracy of the derived SWE.
- Compare ATL03 with ATL06. Quantify uncetainty in snow volume estimates using snow depth derived using ATL03 vs ATL06.
- Breakdown/analyse/process ATLO3 pointcloud using pdal.
- Explore ATL03 and ATL07/ATL06 products over Sea-ice
- Seasonal snow over sea-ice
- Convert ATL03 data to entwine (cloud-optimised point cloud format) and visualise on potree
- Bulk snodas download scripts
- Compare ATL06 elevations with raster DEM
- Areas with ground truth LiDAR/SWE estimates avalible (eg. Airborne Snow Observatory(ASO) sites)
- TBD
We will strive to follow the workflow proposed by the Hackweek team. This should make our life easier, free of any merge conflicts.