Using the LiDAR Technology for Safety, Product Delivery, and Advance Efficiency.
Land cover is an observable image of the many projects taking place on the land surface. Classifying and mapping land cover is an integral process in understanding the earth's biophysical systems. Land cover classification data are generally geo-referenced with high accuracy data, example: population, urban fabric, trees, water, wildlife, and forests.
Land cover classification is the showcase of different color which makes it very easy to understand and read.
LiDAR technology helps Land Cover Classification industry in multiple of areas which can be summarized into these 3 sections
Bare Earth classification is a crucial step in LiDAR data processing, used primarily to create Digital Elevation Models (DEMs). This process is typically semi-automatic, followed by a quality check using global software to ensure high accuracy. By identifying the ground and non-ground features, it enables clear delineation of the earth's surface for further analysis and modeling.
LiDAR’s ability to classify above-ground features such as vegetation, buildings, and bridges is another key application. This is achieved through advanced point cloud classification, which is conducted both semi-automatically and manually. These classifications allow for detailed mapping of above-ground features that can inform land use planning, infrastructure development, and environmental assessments.
LiDAR data for land cover classification can be processed using various software tools such as ArcGIS, ENVI, ERDAS Imagine, and GRASS GIS. These tools help in efficiently classifying land features, enhancing the overall analysis of geographical areas, and supporting various land management projects, from forestry to urban planning.
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