LiDAR for Land Cover Classification

Solving issues with agricultural risks, declining soil quality, conversion of prime agricultural land, food security, and loss of wildlife habitat.

LiDAR Data for Land Cover Classification

The many projects being carried out on the land's surface are seen in the land cover. Classifying and mapping land cover is an integral process in understanding the earth's biophysical systems. Data on population, urban structures, trees, water, animals, and forests are some examples of high-accuracy data that is geo-referenced with land cover categorization information.

Different colors are used to highlight the different types of land cover, which makes it very simple to read and understand.

Bare Earth (Ground and Non-Ground Classification):

Semi-automatic categorization of bare earth is followed by a quality assessment utilizing international software. DEM creation makes use of the Bare Earth class.

Bare Earth Above Ground (features – vegetation, buildings, bridges):

Advanced Classification point clouds are done by semi-automatic and manual classification process using global software.

Land Cover Classification Lidar

Land Cover Classification Services Cover:

  • Quantification of impervious surfaces for stormwater runoff forecasting and drainage needs
  • Tree canopy calculations for storm water runoff and pollution impact studies
  • Calculations of the water used for irrigation and non-irrigation in desert areas
  • Environmental assessment of undeveloped and vacant land identification
  • Planning green space and trails for recreational purposes and other urban planning applications
  • Ecosystem or forest species/community maps
  • Maps of fire danger that show the amount of fuel available for wildland fires
  • Urban planning assessment

The categorization of land cover has grown in significance as a means of addressing environmental processes and issues, particularly in emerging agricultural nations.

With the expertise of Polosoft Technologies, land cover classification has become increasingly significant in addressing environmental processes and challenges, particularly for agricultural countries in the midst of development.

Work Process

Work Process


LiDAR (Light Detection and Ranging) technology is a remote sensing method that uses laser pulses to measure distances and generate detailed 3D representations of the Earth's surface. In land cover classification, LiDAR data helps in accurately identifying and categorizing different land cover types such as vegetation, water bodies, buildings, and bare ground.
Polosoft Technologies utilizes LiDAR technology for land cover classification by processing the collected LiDAR data to extract relevant features and create accurate land cover maps. Advanced algorithms and techniques are employed to classify and differentiate various land cover classes, providing valuable insights for environmental analysis and decision-making.
LiDAR offers several advantages for land cover classification, including high accuracy and precision in capturing elevation and surface information, even in dense vegetation areas. It enables the identification of complex land cover features, such as individual trees, building structures, and terrain variations. Additionally, LiDAR provides consistent data across large areas, facilitating efficient and standardized land cover mapping.
Land cover classification plays a crucial role in understanding environmental processes, such as ecosystem dynamics, land use changes, and habitat assessment. It aids in monitoring agricultural areas, assessing crop health, identifying land suitability, and managing natural resources effectively. Accurate land cover information enables informed decision-making for sustainable land use planning, conservation efforts, and agricultural development.
Yes, Polosoft Technologies specializes in providing customized solutions for land cover classification using LiDAR data. Their team of experts can tailor the classification process to meet specific project requirements, including target land cover classes, desired accuracy levels, and specific environmental contexts.
LiDAR-based land cover classification enables continuous monitoring of land cover changes over time, providing valuable data for environmental management and policy-making. It assists in detecting land degradation, deforestation, urban expansion, and other environmental impacts. By providing accurate and up-to-date information, LiDAR-based land cover classification helps in implementing effective environmental monitoring and management strategies.

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