Single image summary of time-varying Earth-features

Abstract

The Earth's surface is live and dynamic due to natural and manmade events. Tracking and visualizing Earth-features (e.g. water, snow, and vegetation) is an important problem. Earth observation satellite imagery like Landsat 8 makes the tracking feasible by providing detailed multispectral imagery at regular intervals. In this paper, we explore a single image summary approach to detecting changes in Earth-features by using the Landsat 8 dataset. In our system, we use appropriate thresholds for spectral indices to identify features, reference datasets, and combine multiple images using predefined color palettes to generate a single image summary of features for a region. Furthermore, we illustrate the benefit of our method over traditional visualizations with case-studies for the Lake Urmia, the Amazon Rainforest, and the Bering Glacier.

Graphical interface adaption for children to explain astronomy proportions and distances

“…To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. inexperienced people in this research area [Kar19,Tri18]. Realistically calculating the sizes of space orbs and the distances between them is complicated by the lack of reference points that we are used to on Earth.…”