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Python functions for a remote sensing application.

1. Raster : raster utilities, some based on gdal/osgeo bindings

Functions in pykic_gdal.py

• gdal2array : read RS dataset from one raw file or from folders --> S2, LS8, maja, sen2cor, wasp. In this case, cloud and no data mask are read.
• geoinfo : Extract geo-informations from a raster or a geometry (only epsg for this type)
• getextent : Get the extent of a raster
• array2tif : Create a compressed raster (.tif) from numpy array (multi-bands / COG format is possible)
• makemask : Build a mask array from ogr geometry
• valfromdot : Extract values of a raster from coordinates
• imreproj : Reproject a raster in memory, without write it on disk

Functions in pyfmask.py

• applyfmask : Apply Fmask on Landsat data

Functions in resafilter.py

• resample_2d : Make a resampling on image (some methods like lanczos, bicubic etc...)
• pan_sharpen : Make a pan-sharpening resampling on a raster

2. Vector : ogr utilities, mainly based on Geopandas and gdal/osgeo

Functions in pykic_ogr.py

• ogreproj : Reprojection of an OGR layer
• checkproj : Check if projections between geometries are same OR same as a given epsg
• zonstat : Compute zonal statistics (count) on each polygon of layer from an image
• sprocessing : Geometric processing between layers (intersection etc...)
• shpbuf : Create a buffer of geometries from a layer
• getbbox : Get the bounding box of geometry (extent)
• distm : Geodesic distance between dots (degrees units)
• add_field_id : Add an ID field in the attribute table of a layer
• convert_coord : Convert coordinates from an EPSG to another

3. SMAC : atmospheric correction from smac algorithm, developed by CESBIO

• smac.py : apply atmospheric correction SMAC

4. Miscellaneous : generic codes to make the job easier

Functions in signalproc.py

• whittf : Apply a Whittaker smoothing (weighted if needed)
• fillnan_and_resample : Interpolation / resampling of vector data with nan values
• smooth_compute : Compute Whittaker smoothing with multi-threading (array with some vector data)
• regress : Compute regression from 2 datasets (linear or polynomial)
• outliers : Extract index and values of outliers in input
• phen_met : Extract phenological metrics from one crop season

Functions in database.py

• buildproto : Build a string protocol to get db
• getdb : Get data from db
• getdbtable : Get list of tables in the database

Functions in miscdate.py

• datefromstr : Find a date into a string
• dconvert : Convert date format into another
• dtoday : Return date of today into a string

Functions in plotik.py

• imadjust : Adjust intensity of an image
• plot_confusion_matrix : Built the confusion matrix as plot

Functions in vi.py

• Computation of some vegetation index : NDVI, NDWI, EVI, WRDVI, SAVI, CVI