High resolution imagery and advanced Earth observation solutions for environmental monitoring, natural resource management, and comprehensive geospatial intelligence.
Kanopus-V-IK is an Earth observation satellite with a primary mission of monitoring the environment and managing natural resources. It uses satellite-based imaging systems to support land use planning, monitor environmental changes, and analyze natural resources. The Kanopus-V-IK satellite utilizes multiple imaging modes such as panchromatic and Multizonal with the capability to capture high-resolution images. This assists in monitoring agricultural areas, tracking land use, exploring water resources and assessing environmental changes.
| Feature | Kanopus-V-IK |
|---|---|
| Designer | NPO VNIIEM |
| Country of Origin | Russia |
| Operator | Roscosmos |
| Mission | Earth observation |
| Bus | Kanopus |
| Launch Mass | ~600 kg (1,300 lb) |
| Design Life | 5 years |
| Operational | 1 time |
| Maiden Launch | 2017-07-14 |
| Launch Site | Baikonur Cosmodrome Site 31 |
| Orbit Regime | Low Earth Orbit (LEO) |
| Power | 300W |
| Instruments | Panchromatic Imaging System, Multizonal imaging |
| Orbital Parameters | Geocentric, Low Earth Orbit |
Resurs-P is an Earth observation satellite designed to monitor the environment, manage natural resources, and track changes across different regions. Equipped with high-resolution imaging technology in both panchromatic and multispectral modes, it captures data across various wavelengths such as visible light, infrared, and near-infrared (NIR). This technology supports agricultural monitoring, environmental assessments, natural resource exploration, and tracking land use changes. It provides high-resolution imagery, including color images at a 1-meter resolution and panchromatic images at up to 0.8 meters, making it highly effective for topographic mapping, land use planning, and environmental monitoring.
| Feature | Resurs-P |
|---|---|
| Designer | TsSKB-Progress |
| Country of Origin | Russia |
| Operator | Roscosmos |
| Mission | Earth observation |
| Bus | Yantar (satellite) |
| Launch Mass | 6,570 kg (14,480 lb) |
| Design Life | 5 years |
| Operational | 2 times |
| Maiden Launch | 2013-06-25 |
| Launch Site | Baikonur Cosmodrome Site 31 |
| Orbit Regime | Low Earth Orbit (LEO) |
| Power | 300W |
| Instruments | Panchromatic Imaging System, Multizonal imaging |
| Orbital Parameters | SSO (Sun-Synchronous Orbit) |
An image captured using light from all colors in the visible light spectrum, which combines red, green, and blue light without separating them into individual colors. This results in a black-and-white image that shows the intensity of light at each point. Panchromatic images have high resolution because they do not require data from multiple color bands, making them ideal for capturing detailed surface features on Earth.
An image captured using data from multiple zones or bands that differ, such as the visible light spectrum and infrared. Using this type of image allows for the analysis of surface characteristics across various wavelengths, such as plant health, land use, or environmental assessments.
A panchromatic image that has been corrected (orthorectification) to reduce distortion caused by capturing images over the Earth's surface. The corrected image has high geographic accuracy, making it suitable for map creation, land surveying, urban planning and geographic analysis.
An image created by combining data from RGB (red, green, blue) images with near-infrared (NIR) data, producing a composite image that enhances the visibility of various surface features. This is particularly useful for assessing plant health.
A color image is captured using multiple spectral channels (commonly red, green, and blue) to represent colors in a manner closely matching human visual perception. This type of imagery facilitates intuitive and natural interpretation, making it suitable for satellite image presentation, terrain visualization, and comprehensive environmental assessments.
Advanced urban detection technology utilizing high-resolution satellite imagery to identify and analyze building structures, roof patterns, and urban development. Our AI-powered system provides accurate detection and classification of urban features for comprehensive city planning and infrastructure management.
Leverage our cutting-edge urban detection capabilities to monitor urban sprawl, assess infrastructure development, and support smart city initiatives. Our solutions deliver actionable insights for sustainable urban planning and resource allocation with unprecedented accuracy and detail.
0.6 m
13,000 THB / sq.km
1,300,000 THB / 100 sq.km
Free / Not up to date
2 m
~32 THB / sq.km
3,200 THB / 100 sq.km
10 m
Free