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ccplot is an open-source command-line plotting tool for CloudSat, CALIPSO, and Aqua MODIS data products. It is mainly used to plot profile, layer, and MODIS earth view data. Rather than a general-purpose BI or mapping platform, it is a specialized visualization tool for atmospheric science, remote sensing, and satellite observation data processing.
Functionally, ccplot supports CALIPSO profile/layer plots, CloudSat profile plots, and overlaying CloudSat and CALIPSO tracks on MODIS swaths. Its range selection is fairly granular: vertically, plots can be cropped by altitude; horizontally, selections can be made by ray, time, geographic coordinates, or MODIS scan lines and samples. For output, it supports SVG, PNG, PDF, EPS, and PostScript, making it suitable for papers, reports, and automated batch processing. It also supports custom colormaps, profile plot aspect ratio settings, nearest-neighbor interpolation radius settings, and drawing surface elevation lines in CALIPSO profile products. For mapping, it relies on basemap and supports projections such as Mercator, Transverse Mercator, and north/south polar stereographic.
In addition to the command line, ccplot provides a beta API for custom plotting in Python, including HDF and HDF-EOS2 reading, time parsing, and interpolation routines. The examples show integration with numpy and matplotlib, suggesting it is better suited to users who already work within Python-based scientific computing workflows. Supported datasets include CALIPSO CALIOP L1B/L2, CloudSat 2B-GEOPROF, and multiple bands from the Aqua MODIS MYD02 series, making it highly specialized.
The main text clearly describes it as an open-source tool, with no mention of commercial pricing, paid editions, or payment methods. Its documentation appears fairly solid, including a manual page and a paper-style tutorial on CloudSat/CALIPSO data visualization that covers scientific background, data processing, and usage instructions—useful for research users.
Its strengths are its domain focus, command-line friendliness, broad output format support, and extensibility through the Python API. Its limitations are its very narrow scope, the fact that the API is still marked beta, and the lack of information in the main text about maintenance frequency, community size, or installation complexity. It is best suited to researchers and remote-sensing developers who need to batch-generate satellite profile plots and track overlay visualizations.
The main text does not provide network availability information, so the accessibility of ccplot.org from mainland China cannot be determined. If access is unstable, users may consider building an alternative workflow with Python tools such as matplotlib, h5py, netCDF4, xarray, and Cartopy.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on ccplot.org official site.
ccplot.org is an Unknown Dev Tools provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach ccplot.org directly.