Atmospheric conditions significantly impact the quality of aerial and satellite remote sensing imagery. Aerosols, water vapor, and other atmospheric particles can distort and diminish the signals captured by sensors. At I2R, we specialize in advanced atmospheric correction techniques to overcome these challenges and deliver superior image quality.
We offer comprehensive atmospheric correction services, leveraging our extensive experience and cutting-edge technologies:
Proven Methodologies: Our established and verified atmospheric correction procedures consistently improve image quality.
Versatile Modeling: We have expertise in multiple atmospheric models, allowing us to choose the most appropriate solution for each project.
Flexible Approaches: We perform validated atmospheric corrections both with and without direct atmospheric measurements.
Pyatmo is our state-of-the-art atmospheric correction algorithm, designed to efficiently process a wide range of satellite data types.
Versatility: Compatible with multiple satellite data sources, including Landsat, Sentinel 2, DESIS, Planet, and Maxar.
Speed and Scalability: Optimized for cloud computing environments, enabling fast and parallelizable processing of large-scale datasets.
Accuracy: Preliminary tests show Pyatmo's performance is on par with the NASA/USGS Land Surface Reflectance Code (LaSRC).
Adaptability: In the absence of suitable dark pixels, Pyatmo utilizes the nearest VIIRS products in time and space for correction.
Expertise: Our team has deep knowledge in atmospheric science and remote sensing.
Customization: We tailor our approach to your specific data and research needs.
Efficiency: Our advanced algorithms and cloud-based solutions ensure rapid processing of large datasets.
Quality Assurance: Rigorous validation processes guarantee the accuracy of our corrections.
Enhance the clarity and reliability of your remote sensing data with I2R's atmospheric correction services. Contact us today to learn how we can elevate your imagery to new heights of precision and insight.Â