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Showing posts from June, 2022

Download Digital Elevation Model Data From ALOS PRISM Directly In QGIS (100% Free!!)

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ALOS-1 (also known as Daichi) was launched on January 24, 2006 and completed its operational phase on  May 12, 2011, after a successful five-year acquisition worldwide. ALOS was one of the world's largest earth observation satellites tasked with collecting high-resolution land observation data on a global scale. The satellite consists of three instruments: an altitude visible and near infrared radiation meter (AVNIR-2) for accurate observation of land cover, and an L-band synthetic aperture radar (PALSAR) phased array type for day and night and all weather conditions. Was installed. Panchromatic remote sensing device (PRISM) for stereo mapping.   The purpose of its mission was to provide the user community with enough data to create a map at a scale of 1: 25,000. Development of digital elevation models and related geographic data products. Conduct community observations to support the Sustainable Development Goals. Natural resource research; development of sensor and satellite tech

Spatial Density Analysis in QGIS

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Density analysis captures known quantities of phenomena and distributes them throughout the landscape based on the spatial relationship between the measured quantity  at each location and the location of the measured quantity.  Density analysis captures known quantities of phenomena and distributes them throughout the landscape based on the spatial relationship between the measured quantity  at each location and the location of the measured quantity. The    Density tool spreads a measured amount of  input point layers over the landscape to create a continuous surface. As an example  of a   density analysis application, consider a retail  chain with multiple stores in a particular area. For each store, management has sales from customers. Management believes that customers choose one store over another based on distance traveled. In this example, it is natural to assume that each customer  always chooses the nearest store. The farther away you are from the nearest store, the more custom