The fine-scale characterization of vegetation surface information serves as a basis for studying the spatial distribution of resources and the dynamic patterns of environmental responses. Accurately ...

The sun is very far away and extremely hot. In order to study the sun we need specialized equipment that looks at it using different wavelengths. Using different wavelengths provides us with a variety ...

The growing interest in using remote sensing data and information in public sector management and decision making is being fed by the perceived utility of remote sensing data and information for a ...

The Remote Sensing for Natural Resources certificate focuses on using satellite and aerial imagery to monitor, measure, and model natural systems. Learn how to interpret remote sensing data to support ...

Opportunities to Use Remote Sensing in Understanding Permafrost and Related Ecological Characteristics summarizes a workshop convened by the National Research Council to explore opportunities for ...

a multidimensional poverty index (MPI). Using state-of-the-art machine learning algorithms, findings suggest that the model had relatively low levels of predictive accuracy, insufficient to provide ...

A new artificial intelligence system improves maritime ship detection in optical remote sensing imagery by combining broad target screening with ...

As carbon markets scale across Kenya’s landscapes, from the mangroves of Lamu to the drylands of Kitui, the question is no longer whether we can measure carbon, but how fast, how accurately, and at ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

A new artificial intelligence system improves maritime ship detection in optical remote sensing imagery by combining broad ...