Climate change studies are growing and related experiments are getting bigger and more complex. They are often conducted in remote areas where communications are limited. In cases like that the data can be transferred via a satellite connection, but this type of connections are slow. We found that using little known possibilities of LoggerNet software (most popular data logger software in environmental science) it is possible transfer quite large amount of data.

The current article focus on the plant diversity assessment in arid environments. Species Richness and Species Evenness equations were used to meet the artic objectives. The use of remote sensing techniques in term of Normalized Different Vegetation Index (NDVI) temporal changes. Two datasets were used to realize the NDVI and Post Chance Detection (PCC) techniques were used to evaluate the plant diversity status over a period of 4 years. Results showed a recognizable loss in plant biodiversity.

This paper presents a novel method to quantify the sizes and frequency of calving events from time-lapse camera imageries. 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.

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.

We present a proof-of concept space-flight instrument that can simultaneously make measurements of both the low and high frequency local magnetic field. Previously, this would have required two separate instruments that would normally have had to be mounted separately on long deployable booms to keep them from interfering. This new hybrid instrument is expected to be particularly useful on extremely small spacecraft, such as CubeSats, which can only accommodate few instruments.

In this study, a high-precision distributed wireless microseismic acquisition system has been designed for oil and gas exploration. The system design, which was based on the ADS1274 chip manufactured by TI, made full use of the four channels of the chip to collect vibration signals in three directions and one electrical signal, respectively. Furthermore, the acquisition system used GPS and WIFI technologies to achieve distributed wireless acquisition.

This BPNN approach with two alarms was well-suited, and it was not necessary to consider the problems of characterising the wave phases and pre-processing, as stated previously. Furthermore, BPNN was a mature technology, which was expected to develop rapidly in the future, and did not require complex hardware. Determining an initial location and magnitude of the event was not necessary for this technique. An existing seismic monitoring network can be used.