- Home
- Remote Sensing Applications
Remote Sensing Applications
Natural Resource Mapping
- Use of satellite or aerial imagery to identify, monitor, and manage natural resources such as forests, water bodies, minerals, and agricultural lands.
- Remote sensing technology provides valuable insights into the distribution, condition, and changes in these resources over time.
Landuse Mapping for Environmental Impact Assessment
- Classify and analyze land cover types and their changes over time.
- Provides critical insights into how land use practices affect the environment, helping to identify potential impacts on ecosystems, water resources, and biodiversity.
- Remote sensing applications can support coastal zone management, assess the impacts of climate change, monitor shoreline changes, and help in the conservation of coastal ecosystems.
Urban Infrastructure Mapping
- Using satellite imagery, aerial photography, and other remote sensing technologies to create detailed and accurate maps of urban environments.
- Monitoring and analyzing the physical and functional aspects of city infrastructure, including roads, buildings, utilities, and transportation networks.
- Enhances the precision and efficiency of urban infrastructure mapping, supporting informed decision-making and sustainable urban development.
Digital Processing of Mine Lease Area
- Preparing Remote Sensing based Landuse analysis of Mine Lease and surrounding area for submission to MOEF as per requirement of TOR.
- We use high resolution satellite data and advanced imaging technologies and analytical techniques to generate Landuse map.
- We also carry out ground verification to check the accuracy of classification.
Digital Image Processing and Classification
- Includes techniques for enhancing, filtering, and transforming digital images to improve their quality and usability.
- Process such as noise reduction, contrast adjustment, and image sharpening. The goal is to prepare the raw image data for more accurate analysis and interpretation.
- Classification techniques are applied to categorize different features or land cover types within the image.
- Converting raw image data into meaningful information, digital image processing and classification help in making informed decisions based on spatial information.
Watershed Management
- Involves utilizing satellite and aerial imagery to monitor, analyze, and manage watershed areas.
- Provide valuable data on land use, vegetation cover, soil types, and water bodies, which are crucial for understanding watershed dynamics and addressing issues such as erosion, pollution, and water scarcity.
- Track changes over time, assess the impacts of land use practices, and develop strategies for sustainable water resource management.
Digital Terrain Model
- Earth's surface topography, capturing the elevation values of the terrain while excluding natural and man-made features such as vegetation and buildings.
- Created from remote sensing data, such as satellite imagery or airborne drone survey, a DTM provides a detailed and accurate depiction of the ground surface.
Slope and Aspect Analysis
- Measures the steepness or degree of incline of a terrain surface.
- Understanding how water flows over the land, predicting erosion, and assessing suitability for various land uses like agriculture, construction, or forestry.
- Derived from digital elevation models (DEMs) and can be visualized as a gradient or contour map, highlighting areas of steep and gentle slopes.
- Useful for mine planning and haul road analytics.
25+
Years of Experience
500+
Successful Projects
If you have any questions let us know
Do you have any questions? Write and our specialists will answer you.