Capturing high-quality imagery is crucial for a range of industries, including mapping, surveying, and monitoring. However, various environmental factors can have a significant impact on the accuracy and clarity of the captured imagery, leading to less reliable data.
In this article, we will explore some of the most common environmental challenges that can affect the quality of imagery, including cloud cover, cloud shadow, sun angles, sun glint over water, and wind. We will also examine potential solutions to mitigate these challenges, highlighting the trade-offs between cost, time, and accuracy. By understanding how environmental factors can impact imagery, we can make more informed decisions when planning and executing capture missions.
Clouds
Cloud in imagery can impact the clarity and quality of the captured imagery. It may obscure important details and features, leading to less accurate data. A potential solution would be to try to capture at a level below the nominal cloud base or reschedule the capture for a day with clearer weather. However, this may result in delays and higher costs.
Cloud Shadow
Cloud shadow in imagery can also impact the clarity and quality of the captured imagery, reducing the accuracy of the data. A potential solution would be to capture on a clear day or capture at a time of day when there are fewer clouds in the sky. However, this may result in delays and higher costs.
Sun Angles
Sun angles can impact the accuracy and quality of the captured imagery, as ground shadow can obscure important features. A potential solution would be to capture at a time of day when the sun is at a higher angle, or to use artificial lighting to minimise ground shadow. However, this may result in higher costs and longer capture times.
Sun Glint
Sun glint over water can impact the accuracy and quality of the captured imagery, as it can obscure important features and create reflections. A potential solution would be to capture at lower angles or reschedule the capture for a time of day when there is less sun glint. However, this may result in delays and higher costs.
Wind
Wind can impact the accuracy and quality of the captured imagery, particularly for water and thermal captures. Strong winds can cause surface distortions and reduce the accuracy of the captured data. A potential solution would be to reschedule the capture for a day with less wind or to use specialised equipment to counteract the effects of wind. However, this may result in delays and higher costs.