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Analysis ESTDA (Exploratory Space-Time Data Analysis). Interactive linking, brushing and travelling for space-time data Python: GPL: GeoDaSpace : yes MAC OS, Windows: Center for Spatial Data Science, University of Chicago Download Spatial Econometrics Advanced spatial models for cross section (GMM, IV and spatial HAC) Python: Freeware SANET yes ...
Opticks is a remote sensing application that supports imagery, video (motion imagery), synthetic aperture radar (SAR), multi-spectral, hyper-spectral, and other types of remote sensing data. Opticks supports processing remote sensing video in the same manner as it supports imagery, which differentiates it from other remote sensing applications.
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
Cornell Spectrum Imager, an EELS Analysis open-source plugin for ImageJ; HyperSpy, a hyperspectral data analysis Python toolbox especially well suited for EELS data analysis; EELSMODEL, software to quantify Electron Energy Loss (EELS) spectra by using model fitting Archived 2017-04-12 at the Wayback Machine
DART model simulates, simultaneously in several wavelengths of the optical domain (e.g., visible and thermal infrared), the radiative budget and remotely sensed images of any Earth scene (natural / urban with /without relief), for any sun direction, any atmosphere, any view direction and any sensor FTM.
Free 3D visualization and communication software for integrated, multi-disciplinary geoscience and mining data and models, which also connects to Python through geoh5py, its open-source API Mira Geoscience Ltd. Free / Proprietary Microsoft Windows: C++: Free license key is automatically emailed upon request, and the software is permanently free
Two-dimensional projection of a hyperspectral cube. Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. [1] The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes.
The GNU Data Language (GDL) is a free alternative to IDL (Interactive Data Language), [2] [3] [4] achieving full compatibility with IDL 7 and partial compatibility with IDL 8. [5] Together with its library routines, GDL is developed to serve as a tool for data analysis and visualization in such disciplines as astronomy, [6] geosciences, and ...