Carbon credits are a crucial tool used to reduce greenhouse gas emissions contributing to climate change. To validate carbon credits and manage carbon at scale, satellites will need to play a larger role because they can provide objective information over huge areas at an affordable price. Hyperspectral data is well suited to more accurate and efficient validation, and could be the key to expanding the carbon credit market worldwide.
Background
Measuring soil and vegetation moisture is an important aspect of modern agriculture, as it can affect crop growth and yield, and can also be used to optimize irrigation and fertilization practices. There are several methods that are commonly used to measure soil and vegetation moisture in agriculture, each with its own advantages and disadvantages. High resolution hyperspectral imaging in the SWIR spectrum promises to add another effective tool to the tool box for assessing moisture.