We use QGIS as our premier desk top geospatial analysis tool for powerful location analytics. It is an excellent tool for crime trend mapping and analysis and integrates seamlessly as a GIS tool within our IoT Stack architecture.
Both QGIS and gvSIG have very good remote sensing as well as LiDAR support:
gvSIG is an open source multi-language desk top Geographic Information System. It is also platform independent and interoperable with most known data formats. Functionality includes geoprocessing tools, advanced integrated CAD tools, 3D visualisation and network analysis. The gvSIG product suite includes gvNIX, a tool for rapid web application development and gvSIG Mobile, which is focussed on projects requiring field data capture.
QGIS is an open source, platform independent, Geographic Information System. It runs on Windows, Linux, Unix, Mac OSX and Android. It is a versatile desktop GIS system suited to enterprise use. QGIS supports 2700 coordinate reference systems and uses a GDAL/OGR library to write geospatial data formats. It supports in excess of 70 vector formats. Raster processing is exceptionally strong with tools included such as GRASS, SAGA and QGIS geo-algorithms. More than 100 raster formats are supported including ERDAS IMAGINE, ArcInfo Binary Grid and ArcInfo ASCII Grid. QGIS is an Open Geospatial Consortium (OGC) data client and supports OGC specifications such as WMS, WMTS, WFS, WFS-T, WCS, SFS and GML.
QGIS has strong geoprocessing capabilities on par with commercial GIS products. It has over 400 functionality extending plug-ins. Some of its real strengths are related to its remote sensing tools. The Semi-automatic classification plug-inn allows for the downloading of Landsat imagery and classification thereof in a semi-automatic way.
DielmoOpenLiDAR for gvSIG