raster-processing

User friendly Rasterio plugin to read raster datasets.

Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80

parallel Raster Processing Library (pRPL) is a MPI-enabled C++ programming library that provides easy-to-use interfaces to parallelize raster/image processing algorithms

A repository of miscellaneous JavaScript-based packages for Google Earth Engine (GEE)

Test with Python module rasterstats.

GMT (Generic Mapping Tools) shell scripts demonstrating coastline-based raster clipping (pscoast clip paths) to render a colour geoid over the ocean and gray-shaded relief over masked land, for the Kuril-Kamchatka and Mariana Trenches.

GMT (Generic Mapping Tools) shell script processing the GLOBE DEM (Global Land One-km Base Elevation, 30 arc-second): converting raw 16-bit signed-integer binary tiles to GMT .grd grids with xyz2grd, batch mosaicking to a global XYZ, and rendering the relief.

GMT shell script producing a shaded-relief bathymetric map of the Kuril-Kamchatka Trench (NW Pacific) from the ETOPO1 1-arc-minute grid. Companion figure for Lemenkova, Reports on Geodesy and Geoinformatics 2019, 108:9-22.

GRASS GIS and GDAL shell scripts for topographical and geophysical analysis of the Japanese Archipelago from NOAA marine geophysical data and a GEBCO grid: bathymetry, geoid, gravity, magnetic anomaly, sediment thickness and slope/aspect. Figures for Lemenkova, Geomatics Environ. Eng. 2020, 14(4):25-45.

GDAL utility and GRASS GIS shell scripts for topographic and geophysical modelling of the Okinawa Trough and Ryukyu trench-arc system from the GEBCO DEM: aspect, hillshade, roughness, TPI, TRI, gravity and geoid mapping via gdaldem/gdalwarp and r.in.gdal. Figures for Lemenkova, Podzemni Radovi 2021, (38):87-100.

GRASS GIS shell scripts for vector data processing and thematic land-cover mapping of Burundi: shapefile import (v.in.ogr), attribute-table queries (v.db.select, db.*), vector styling (v.colors) and display, plus a Landsat mosaic classification workflow. Figures for Lemenkova, Geografares 2024, 4(39) (EN & FR versions).

GMT (Generic Mapping Tools) shell scripts mapping total marine sediment thickness from the NOAA/NGDC GlobSed grid over ocean basins, seas and trenches, with turbo colour-shaded grids, isopach contours, coastlines and cartographic layout.

GDAL command-line shell scripts for geospatial raster processing: reprojecting and warping grids between coordinate reference systems and map projections (gdalwarp), format conversion between NetCDF, GeoTIFF and binary (gdal_translate), and raster metadata inspection (gdalinfo).

Collection of ~180 GMT (Generic Mapping Tools) shell scripts producing shaded-relief topographic and bathymetric maps of countries and regions worldwide from global DEMs (ETOPO1, GEBCO, SRTM, GLOBE), with DCW country clipping, custom CPTs, contours and cartographic layout.

GRASS GIS shell scripts for satellite image analysis of Landsat TM/ETM+ over Qingdao, China (2004, 2009): land-surface-temperature via r.mapcalc, colour composites via d.rgb, slope/aspect/curvature via r.slope.aspect, plus DEM and image fusion. Figures for Lemenkova, Tehnicki vjesnik 2022, 29(6):1956-1963.

General GRASS GIS shell scripts demonstrating cartographic projections (Oblique Mercator, Cassini, Equal-Area Conic, Two-Point Equidistant Azimuthal) and raster-analysis techniques: contours, slope/aspect, fractal surface generation, faceted display, univariate statistics and map algebra with MASK.

GMT (Generic Mapping Tools) shell script building a land/water mask grid from GSHHG shorelines with grdlandmask (land = 1, ocean = NaN) and rendering it over an ETOPO1 relief basemap for the Kuril-Kamchatka Trench area.

GRASS GIS shell scripts for cartographic projections (Cassini, Oblique Mercator, Equal-Area Conic, Two-Point Equidistant Azimuthal) and terrain modelling of the Kuril-Kamchatka Trench from GEBCO relief, integrating GDAL/PROJ reprojection. Figures for Lemenkova & Debeir, Technologies 2023, 11(2):46.

Python scripts for raster and satellite image processing with the EarthPy library: DEM hillshade and 3D surface, multiband stacking, RGB composites, band plots and histograms of Landsat and SRTM data (rasterio, geopandas, matplotlib, plotly).

GRASS GIS shell scripts compiling and thematically mapping Antarctic datasets: topographic surface, ice thickness, subglacial bed elevation and ice/rock masks from BEDMAP2, sediment thickness from GlobSed, and ETOPO1 topography and geoid. Figures for Lemenkova, Czech Polar Reports 2021, 11(1):67-85.