diff --git a/README.md b/README.md index e19a4a2..e3c5d64 100644 --- a/README.md +++ b/README.md @@ -2,10 +2,36 @@ [![DOI](https://zenodo.org/badge/433593658.svg)](https://zenodo.org/badge/latestdoi/433593658) -This repository contains notebooks and tools to identify snowmelt timing using timeseries analysis of backscatter of Sentinel-1 C-band SAR. This toolbox makes use of [Analysis Ready Sentinel-1 Backscatter Imagery](https://registry.opendata.aws/sentinel-1-rtc-indigo/) (Sentinel-1 RTC data) hosted on AWS managed by Indigo Ag, Inc. Special thanks to [Scott Henderson](https://github.com/scottyhq) for his [aws-rtc-stac](https://github.com/relativeorbit/aws-rtc-stac) repository which allows the creation of static STAC catalogs used in this repository. +This repository contains notebooks and tools to identify snowmelt timing using timeseries analysis of backscatter of Sentinel-1 C-band SAR. The newer tools in this toolbox use the [Sentinel 1 Radiometrically Terrain Corrected (RTC)](https://planetarycomputer.microsoft.com/dataset/sentinel-1-rtc) product hosted on Microsoft Planetary Computer. Please see the [examples folder](https://github.com/egagli/sar_snow_melt_timing/tree/main/examples) for notebooks that demonstrate example analysis that can be done using this toolbox. Check out the rendered notebooks using [nbviewer](https://nbviewer.org/github/egagli/sar_snow_melt_timing/tree/main/examples/). +Originally, this toolbox made use of [Analysis Ready Sentinel-1 Backscatter Imagery](https://registry.opendata.aws/sentinel-1-rtc-indigo/) (Sentinel-1 RTC data) hosted on AWS managed by Indigo Ag, Inc. + + +## Example: Large scale processing of snowmelt runoff onset + + +largescale + +Screenshot of interactive snowmelt runoff onset map of the western US hosted [here](https://egagli.github.io/view_sar_snowmelt_timing_map/). Code to process individual MGRS tiles in [process_mgrs.ipynb](https://github.com/egagli/sar_snowmelt_timing/blob/main/examples/process_mgrs.ipynb). Built the interactive map using [this](https://github.com/egagli/view_sar_snowmelt_timing_map) repository, based on [Scott Henderson's template](https://github.com/scottyhq/share-a-raster). + +## Example: visualize_all_volcanoes.ipynb + +A study of snowmelt runoff onset on stratovcolcanoes in the Cascade Range: [visualize_all_volcanoes.ipynb](https://github.com/egagli/sar_snow_melt_timing/blob/main/examples/visualize_all_volcanoes.ipynb) [[nbviewer link](https://nbviewer.org/github/egagli/sar_snow_melt_timing/blob/main/examples/visualize_all_volcanoes.ipynb)]. + +volc_ts + +A) Yearly Snowmelt Runoff Onset Maps for 10 Cascade Stratovolcanoes. B) Median snowmelt runoff onset at each elevation bin per year. + +fig4 + +A) 2015-2022 median snowmelt runoff onset maps. B) Median snowmelt runoff onset at each elevation bin with +/- 1 standard deviation. + + + + + ## Example: demonstrate_all_functions.ipynb I would recommend starting with the [demonstrate_all_functions.ipynb](https://github.com/egagli/sar_snow_melt_timing/blob/main/examples/demonstrate_all_functions.ipynb) [[nbviewer link](https://nbviewer.org/github/egagli/sar_snow_melt_timing/blob/main/examples/demonstrate_all_functions.ipynb)] notebook which quickly goes through usage of all of the toolbox's most powerful functions over an example area (Mt. Rainier) in quick succession with some example analysis. For example, here is a figure generated using the plot_bs_ndsi_swe_precip_with_context() function shown in that notebook.