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Lidar data is awesome! It has so many great uses and produces some amazing visualizations. But it’s not without its problems. Mainly, lidar data can be difficult to work with because file sizes are so large. This means that point clouds are usually tiled and if the area you’re interested in overlaps multiple tiles then…
One of the key tasks for data scientists and computer programmers is to read, write, organize, and manipulate data. Perhaps the most intuitive format in which these data are stored is the tabular format. This format organizes data into tables, which are also commonly referred to as data frames or spreadsheets. Because of data, programs…
Satellite images are important data sources for many remote sensing and GIS analyses. Today many different satellites circle the globe and collect various image types. Images from many of these satellite platforms are available free of charge. This tutorial will demonstrate how to download images from the Landsat (Landsat 9) and Sentinel (Sentinel 2) satellites…
The only basemap available with QGIS is Open Street Map. Open Street Map is a good, basic basemap but sometimes context from aerial imagery is required to properly convey the meaning of a map. The good news is that QGIS has a lot of options for adding in outside map sources. One great basemap for…
Lidar point clouds and DEMs are very useful in many applications and these data are becoming more readily available. In the next few years, it is expected that there will be lidar coverage for all of the contiguous United States. Lidar is already available for large portions of the lower 48. Available lidar DEMs and…
