Potential users of all sky camera images include even power company, tourists and aurora enthusiast. However, these potential users are normally not familiar to interpreting these images. To make them comprehensive for wide users, we developed an automatic evaluation system of the auroral activity level. The method involves two steps: first making a simple set of numbers that describes the auroral activity, and then further simplifying them into several levels (Level 6 is aurora explosion).

This paper presents a novel method to quantify the sizes and frequency of calving events from time-lapse camera images. The calving front of a tidewater glacier experiences different episodes of iceberg deliveries that can be captured by a time-lapse camera situated in front of the glacier. An automatic way of detecting calving events is presented here and compared to manually detected events.

The article deals with the designation of fault detection on the island of Crete. The delineation is based on the integration method of remote sensing and GIS. The crucial finding is how to differentiate between faults and water streams. The results showed a robust approach to fault detection.

The current article focuses on plant diversity assessment in arid environments. Species richness and species evenness equations were used to meet the objectives. Remote sensing techniques were used to detect normalized difference vegetation index (NDVI) temporal changes. Two datasets were used to realize the NDVI, and post-chance detection (PCC) techniques were used to evaluate plant diversity status over a period of 4 years. The results show a recognizable loss in plant biodiversity.

Historical surveys performed through the use of aerial photography gave us the first maps of the Arctic. Nearly a century later, a renewed interest in studying the Arctic is rising from the need to understand and quantify climate change. It is therefore time to dig up the archives and extract the maximum of information from the images using the most modern methods. In this study, we show that the aerial survey of Svalbard in 1936–38 provides us with valuable data on the archipelago's glaciers.