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The comprehensive spatial analysis tools in QGIS. 

The comprehensive spatial analysis tools in QGIS. 

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This white paper is written with the support from the National Geospatial Technology Center of Excellence (GeoTech Center, http://www.geotechcenter.org/). The goal of this paper is to assist GIS educators at various institutes (high schools, community colleges and universities) towards understanding the potential role of open source software (or fr...

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... In order to safeguard the rights of end users and ensure freedom of the software uses, the procedure for implementation of 'free software licenses' must be required. There are many organisations, such as the General Public License (GPL) and Berkeley Software Distribution (BSD), which may offer free licence software (Tsou and Smith 2011). Some GIS desktops like GRASS include remote sensing features such as raster processing and image rectification, upgrade, transformation, classification and extraction of geographic objects (Blaschke et al. 2008) and vectorization (i.e., raster to vector conversion). ...
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To get the most out of geographical data, people are being encouraged to use open-sourceOpen-source data and softwareSoftware. Freely available Remote Sensing (RS) and Geographic Information Systems (GIS) software is making rapid progress. These software’sSoftware can be used to look at various properties that a satellite-based data, and other geographic data from different sources provides. Overall, satelliteSatellite based remote sensing applications for soilSoil resource mapping and modelling has gained a huge success all over the world. Conventional soilSoil analysis is time-consuming and labor-intensive, resulting in high costs. Interpolation and its derivatives have gained widespread acceptance as an important spatial analysis technique. In this context, prognostic soilSoil mapping approaches have been created as a result of advances in RS and GIS technology. With thorough satellite-derived soilSoil quality indices, in-situ soil quality measurements may be transformed, which can then be scaled up to cover wider geographical areas. The spatial maps can also be used as an ideal input for models that are spatially distributed. It was possible to distinguish four major land degradation categories based on data derived from remote sensing-based satelliteSatellite data, namely undegraded, moderately degraded, degraded and severely degraded based on the amount of vegetation cover, slope and erosion. Likewise, different researchers have used application of RS & GISRS & GIS in mapping natural resources, studying soilSoil taxonomy, soil resource assessment and mapping and crop growth indicator integrated with crop models. In addition, RS & GISRS & GIS application can also be used to track change in forest cover density, Land use land cover, coastal morphology, status of reef and biodiversity of islands. Realizing this, the chapter highlights the utilization of free open satelliteSatellite dataset and GIS software’sSoftware as well as the presentation of open-sourceOpen-sourcesoilSoil information and use of the application of RS & GISRS & GIS in soil resource mapping and monitoring in India.
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