Enhancing Natural Resource Management through advanced GIS Techniques

Geographic Information Systems (GIS) play a pivotal role in natural resource management by enabling the capture, analysis, and visualization of spatial data. GIS technologies, combined with specialized techniques such as remote sensing, photogrammetry, LiDAR data processing, and field surveys, contribute to effective NRM practices, with a focus on mining, forestry, and land use/land cover (LULC) mapping.

GIS for Natural Resource Management

GIS is a powerful tool for managing natural resources. It helps us collect, organize, and analyze data about the Earth’s surface and features. Following are some realistic examples of how GIS is used in different aspects of natural resource management:

Data Capture: GIS captures geographical features like mining sites, forest boundaries, and land cover types. For example, in forestry management, GIS collects data on tree species distribution and forest density.

Data Maintenance: Once the data is captured, GIS ensures it stays up-to-date. It updates databases with the latest information from sources like satellite imagery and field surveys. For instance, in mining operations, GIS maintains records of ore reserves and excavation sites.

Data Migration: GIS can move data from one platform or format to another. This makes it easier to share and use information across different systems. For example, in a forestry projects, GIS can migrate data from a desktop application to a cloud-based platform for better accessibility.

Remote Sensing and Photogrammetry: In mining, GIS and remote sensing techniques monitor land use changes using satellite imagery. For instance, GIS tracks the expansion of mining sites and assesses their impact on the environment. Photogrammetry creates detailed maps and 3D models from aerial photographs, providing insights into terrain elevation and landscape features.

LiDAR Data Processing: LiDAR technology measures elevation and canopy height in forests. GIS processes this data to create digital elevation models (DEMs) and assess slope stability in forestry areas. For instance, GIS can analyze LiDAR data to identify areas suitable or prone to specific conditions.

Incorporating advanced GIS techniques into natural resource management enhances decision-making processes and promotes sustainable practices in mining, forestry, and land use planning. By leveraging remote sensing, photogrammetry, LiDAR data processing, and field surveys, organizations can effectively monitor environmental changes, optimize resource utilization, and mitigate negative impacts on ecosystems. As technology continues to evolve, the integration of GIS into natural resource management will play an increasingly vital role in preserving our planet’s natural resources for future generations.

AABSyS has a highly experienced team of GIS professionals and has a rich experience of providing high quality yet cost-effective solutions for Remote Sensing and Image Processing to its customers.

The typical services offered by AABSyS include

  • Land use/ Land cover (LULC) Classification
  • Georeferencing, mosaicking and seamless raster data products
  • Terrain mapping
  • Digital elevation modeling
  • Change detection analysis
  • Mapping & advanced spatial analysis


Visit us for more information on our GIS services – AABSyS GIS Data Services