pyGrid2TS

Python tools for time series analyses of gridded data

Welcome to pyGrid2TS, the python package that can process gridded datasets in to DSS time series. The goal of this package is to leverage python geoprocessing tools and parallel processing to develop time series for a variety of climatic gridded datasets.

Dependencies

• rasterio
• rasterstats
• geopandas
• joblib
• pydsstools
• pandas

Useage

To use this command line utility, it is reccomended you set up a virual environment will all of the required dependencies. If you use anaconda:

conda create --name pygrid python=3.7
conda activate pygrid
conda install -c conda-forge gdal rasterio fiona shapely fiona
conda install pandas joblib 
pip install geopandas

Clone the repository

cd <to desired cloning directory>
git clone https://github.com/danhamill/pyGrid2TS.git

Inputs

1. Directory of daily SWE surfaces
2. Shapefile of watershed boundary
3. Shapefile of subbasin boundaries

Output

1. Daily clipped raster for watershed and subbasin boundaries
2. DSS file with procesed time series

(base) C:\workspace\git_clones\pyGrid2TS>python pygrid2ts.py -h
usage: python pygrid2ts.py --basin-shp total_watershed_dissolved.shp --sbasin-shp total_watershed.shp --ds SONDAS --raster-dir snodas_dir --dss output_timeseries.dss --oroot output_dir --bname RIRIE --dtfmt %Y%m%d --mconv 1000.0

Zonal Statistic Software to Create DSS Time Series

optional arguments:
  -h, --help            show this help message and exit
  --basin-shp BASIN_SHP
                        Dissolved Basin Shapefile
  --sbasin-shp SBASIN_SHP
                        Sub Basin Shapefile
  --ds DS               Raster Datasource
  --raster-dir FPATH    Directory for rasters to be processed
  --dss DSS_FILE        Path to Output DSS file
  --oroot OROOT         Output Directory for Basin Rasters
  --bname BASIN         Basin Name
  --dtfmt DTFMT         strftime Date Format
  --mconv M_CONV        Converstion Factor for Input Rasters to Meters