Open Source Linux GIS Software

MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm.

The BioEnergy Allocation and Simulation Tool (BEAST) is a tool dedicated to assess political goals of woody bioenergy production in the context of available biomass potentials and corresponding economic and ecological criteria on a regional level. It is a useful tool in participative decision making processes by iterative simulation and visualization of complex issues. BEAST is a data- and model-driven Decision Support System (DSS) evaluating woody biomass potentials from forests, hedges and trees outside forests as well as short rotation coppice (SRC). The latter one is modelled spatially explicit. This opens the possibility to identify prefered areas for SRC production under different restrictions and goals. Forest wood and wood from outside forests are treated only aggregated.

DeepSee is an interactive workspace for deep ocean scientists to upload sediment core data and map images and see their sampling history displayed across multiple connected views at once! 🦑🦀🐚 🚀 For a live demo, visit: https://www.its.caltech.edu/~datavis/deepsee/ 🌱 To get started, visit our Wiki: https://sourceforge.net/p/deepsee/wiki/Home/ 🧑‍💻 To modify DeepSee for your own project, visit our GitHub repository: https://github.com/orphanlab/DeepSee/ --- Created by Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. Caress, Eric J. Martin, Jennifer B. Paduan, Maggie Hendrie, Santiago Lombeyda, Hillary Mushkin, Alex Endert, Scott Davidoff, and Victoria J. Orphan. Copyright (c) 2022-23 California Institute of Technology ("Caltech"). U.S. Government sponsorship acknowledged. All rights reserved. Open Source License Approved by Caltech/JPL APACHE LICENSE, VERSION 2.0 ---

EcoMod is an OpenGL application for 3D modelling, simulation and visualization of ecosystems. Trees are modelled and used within simulation to render the emerging natural phenomena of spontaneous afforestation process. Multidisciplinary.

EDAS2 is a web-based environmental quality data management and decision support framework

GIS data for Greece has been scarce. This project aims to provide methods, instructions and data for the construction of environmental maps of Greece with the help of open source GIS tools.

KalypsoBASE is a Desktop-GIS built on Eclipse. It's focus lies on modelling gis data using GML Application-Schemata. Features contain generic dialogs based on GML, maps based on OGC's SLD, and other tools like a charting framework or API for timeseries

Webapplication to collect, store, display and share information about natural events in proteced areas.

The OBO-Annotator is a semantic NLP tool that is designed to give its end-users a great deal of flexibility to combine any number of OBO ontologies from the OBO foundry regardless of their format and use them to annotate text-bases.

PIHM is a multiprocess, multi-scale hydrologic model where the major hydrological processes are fully coupled using the semi-discrete finite volume method.

rdv-framework is designed to evaluate and compare ecological conservation reserve selection alogrithms .

*.xml files are uploaded to SAGA GIS toolchains 'Files' from where they can be downloaded: https://sourceforge.net/projects/saga-gis-rhotoolchains/files/ SAGA-GIS-toolchain_Burned_area.xml ___is presented in GitHub: https://github.com/RhoSpatial/Saga-gis-toolchain-for-burned-area-mapping- VIIRS_snow_tool_FINAL7.xml ___is a toolchain for snow cover retrival from VIIRS instrument imagery (NASA), input is study area cloud free VNP09GA product and DEM in GQ(nom 250m) resolution, it was developed to make high accurate snow cover analytics on Atlas mountains(Morocco). It was tested in 2017/18 snow season(output grids are available: mih.zemva@gmail.com). It is fairly complicated but not as much as toolchain for MODIS(not uploaded) with MOD09.. products input . * in line 139 polygon *.shp must be linked from drive; it's an additional retrieval of index values to monitor waterbodies and does not relate to snow cover analytics

Sistema Forestal para las Organizaciones de Silvicultores

La Xarxa de Suport a la Reutilització és com un EBAY d'ordinadors que refusa la transacció econòmica entre el donant d'equipament i el seu receptor, ha estat desenvolupada gràcies a la subvenció que els Ajuts puntCAT van atorgar a finals de 2010 a l'associació TxT-Tecnologia per a Tothom. Estàs interessat/da en muntar una plataforma semblant?, pots descarregar-te el codi d'aquest web i provar la XSR a www.xsr.cat. Ets un/a particular amb recursos insuficients o una entitat amb fi social i sense ànim de lucre? Necessites un o varis ordinadors? El portal XSR posa en contacte els donants d'equips amb els receptors amb l'objectiu de facilitar un aprofitament gratuït de maquinari informàtic de segona mà en bon estat.

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.

A toolbox of open source geospatial essentials