Open Source Windows Earth Sciences Software - Page 3
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Earth Sciences Software for Windows
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MF-OWHM | MODFLOW OWHM
Simulation, analysis, and management of the movement of water
This page is kept for those that want to use the legacy v1 version. For current download, source, and information please go to: https://code.usgs.gov/modflow/mf-owhm ----------------------------------------------------------------------------------------------------------- The One-Water Hydrologic Flow Model (MODFLOW-OWHM, One-Water) is an integrated hydrologic flow (IHM) model that is an enhanced fusion of multiple MODFLOW (MF) versions. While maintaining compatibility with existing MF versions, MF-OWHM includes: linkages for coupled heads, flows, and deformation; facilitation of self-updating models, additional observation and parameter options for higher-order calibrations; and redesigned code for faster simulations. MF-OWHM represents a complete IHM that fully links the movement and use of groundwater, surface water, and imported water for consumption by agriculture and natural vegetation on the landscape, and for potable and other uses. -
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PyRadmon Reborn
PyRadmon, a Python script to use on both Linux and Windows.
PyRadmon Reborn. This project started after the original programmers quit supporting it. The project now contains support for audio*, has a version that supports two Geiger counters** and a cleaner, more stable code. * = PyAudio is used as library for the audio support. ** = The two counters both run in their own thread. UPDATE-2015-2: * Added timeouts to sockets to prevent crashing of the script. * Updated some comments. UPDATE-2015-1: Since there have been some passed time I decided to pickup the keyboard to write for PyRadmon again, hence the new updates. Most significant changes: * Added a logger for catching and storing messages to a log file. * Complete cosmetic overhaul, fixing ugliness throughout the code, in the hope others might find it easier to read/more standardized. -
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This is fork of SegDSee - SEG-D/B viewer, originally by Segrey Pavlukhin (https://mail.dmng.ru/freeware/?lang=en), modified by Pavel Gridin
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pyTectonics
3d plate tectonics in Python
PyTectonics is no longer maintained. There is a replacement, which you can see here: davidson16807.github.io/tectonics.js. -
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Biosphere3D
Interactive landscape rendering based on a virtual globe.
Biosphere3D targets interactive landscape rendering based on a virtual globe. It supports DEM, satellite and aerial images, 3D models (Collada), 3D plant models, and Shapefiles. Biosphere3D was initially developed by the landscape visualization group of the Zuse Institute Berlin by Malte Clasen and is now developed further by Lenné3D GmbH. For more information about the used concepts have a look at the thesis of Malte Clasen: Towards Interactive Landscape Visualization Doctoral Thesis published 2011 via Technische Universität Berlin https://doi.org/10.14279/depositonce-3005 -
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GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download -
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GEOrgET
GoogleEarth Organiser, Editor & Toolkit
GEOrgET provides several tools for organising and editing GoogleEarth KML files productively: *Convert NMEA to KML, import and export GPX *Converts DT2 elevation data to HGT, fills voids *Produce congruent Points from an edited Path *Add a timezone; change the starting time of a Path *Reverse a Path and its Points *Join Paths *Add photo locations to KML files *Make images (e.g. colour-coded, contoured and shaded maps, and profile, slope, speed plots) *Maps contain special features (e.g. waypoints, rivers, lakes, shorelines cities/towns) *Make custom GoogleEarth tours (customisable speed, height, angle, direction, bearings, bearing tactics) *Customise settings (primary and favourite timezones, photo directory, database) Packaged with a complete database of timezones and cities. Requires PHP and MySQL to run; images will only be produced if ImageMagick for PHP is also installed. SRTM files are necessary for colouring maps, profile and slope plots. -
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IDL and ENVI software tools for opening, viewing, filtering, and analyzing Malå Geoscience RAMAC™ ground-penetrating radar (GPR) data.
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GeoGig
Distributed Version Control System for Geospatial data
Welcome to the GeoGig project, exploring the use of distributed management of spatial data. GeoGig draws inspiration from Git, but adapts its core concepts to handle versioning of geospatial data. Users are able to import raw geospatial data (currently from Shapefiles, PostGIS or SpatiaLite) in to a repository where every change to the data is tracked. These changes can be viewed in a history, reverted to older versions, branched in to sandboxed areas, merged back in, and pushed to remote repositories. -
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GsTL is a C++ library that provides a comprehensive set of tools and algorithms for geostatistics. The algorithms provided include kriging, cokriging, sequential simulation and p-field simulation.
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JavaSeis.org: Java based software for processing and storing petroleum industry seismic data.
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PCRaster
PCRaster environmental modeling software
Note: Active projects have been copied to Github: https://github.com/pcraster News, project information, documentation and more are available at http://www.pcraster.eu PCRaster is a collection of tools and software libraries tailored to the construction of spatio-temporal environmental models. Application domains are amongst others hydrology (rainfall-runoff, global water balance, groundwater (with Modflow)), ecology, or land use change. Two scripting languages (PCRcalc and Python) include a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data. -
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Explore InSAR data and more
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metaf2xml
Parse and decode METAR, TAF, SYNOP, BUOY, AMDAR and write data as XML
metaf2xml can download, parse and decode aviation routine weather reports (METAR, SPECI, SAO), aerodrome forecasts (TAF), synoptic observations (SYNOP), observations from buoys (BUOY) and meteorological reports from aircrafts (AMDAR). Data can also be taken from decoded BUFR messages. The extracted data can be written as XML or passed to a user-defined function (all done in Perl). It also provides XSLT style sheets to convert the XML to plain language (text, HTML), or XML with different schemas. A web-based (CGI) user interface can be used to download and display up-to-date weather data from NOAA, Ogimet, and other sources. -
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SediStat is simple command line aplication for automatization of statistical calculations used in facial analysis of deep water sediments. In actual version are incorporated methods of R/S analysis and Markov chains computations.
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Engineering, analysis and computing tools for marine and coastal science and technology
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PySptools
Hyperspectral algorithms for Python
A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial). The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. The library is mature enough and is very usable even if the development is at a beta step. -
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Application to estimate the solar power available at a point on the Earth's surface given latitude, longitude, altitude and collector tilt, azimuth, etc.
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Tabla Periodica
Tabla periódica completa con funciones especiales únicas.
Tabla periódica completa con funciones especiales únicas. Desarrollada en Java como proyecto final del área de Química en Ingeniería de sistemas segundo semestre. -
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ccplot
CloudSat and CALIPSO plotting tool
ccplot is an open source command-line program for plotting profile, layer and earth view data sets from CloudSat, CALIPSO and Aqua MODIS products. -
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Coastline Evolution Model
Modified version of the Coastline Evolution Model (CEM)
The Coastline Evolution Model (CEM), originally developed by Ashton et al. (2001), Ashton and Murray (2006) and Valvo et al. (2006), is a reduced complexity, one-line sediment transport model that simulates the evolution of coastlines via wave-driven alongshore sediment transport. The original CEM has no Graphical User Interface (GUI) and does not provide graphical visualisations during model runs. The modified version given here includes these features. This project forms part of a wider research project and further developments on this model are anticipated. -
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Coastline Evolution Model 2D
Numerical model simulating coastal morphodyamics and evolution
CEM2D is a reduced complexity coastal evolution model, capable of simulating fundamental cause-effect relationships in coastal systems and exploring the influence that sea level rise could have on sediment transport and the formation and evolution of morphological features and landforms over meso-scales. The model has been built from a 1D parents model - CEM - that was originally developed by Ashton et al. (2001), Ashton and Murray (2006) and Valvo et al. (2006).
