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Research indicates that aerosol optical thickness (AOT) values and particulate matter (PM10) measurements can be used as indicators of atmospheric pollution. The problem of relating AOT with suspended particulate matter near the ground is still an open question. While satellite images can provide reliable and synoptic measurements from space, comparisons with monitoring surface level air pollution continues to be a challenge since satellite measurements are column integrated quantities. In this study, in-situ spectroradiometric measurements were taken during satellite overpass using field spectrometers to obtain the reflectance values of the calibration targets used. Sun photometer measurements were taken with the Microtops hand-held sun photometer to measure AOT. Meteorological data was collected from nearby meteorological stations and PM10 measurements were collected from local mobile air pollution stations. Following, the darkest pixel method of atmospheric correction was applied to a series of Landsat satellite images. The reflectance values of the atmospherically-corrected image were used in the radiative transfer equation to solve for AOT. Thematic maps were generated in order to develop air quality indices. The image-derived AOT values were examined for a positive correlation with PM10 measurements. It appears there exists a significant correlation between AOT and PM10 measurements. 2012 SPIE.

The VLT Survey Telescope (VST) is a cooperative program between the European Southern Observatory (ESO) and the INAF Capodimonte Astronomical Observatory (OAC), Naples, for the study, design, and realization of a 2.6-m wide-field optical imaging telescope to be operated at the Paranal Observatory, Chile. The VST has been specifically designed to carry out stand-alone observations in the UV to I spectral range and to supply target databases for the ESO Very Large Telescope (VLT). The telescope design, manufacturing and integration are responsibility of TWG and have been carried out on the base of a model of optimized design not only for mechanics but for all telescope subsystems. The paper is an overview on the telescope mechanical design and optimization.

In this paper, the author gives a personal view on the current development direction of smart home, and propos the “wisdom” of a smart home should be based on the biological intelligence, rather than a series of automated electrical equipments, and emphasizes that the central control computer system is the core part of the smart home, the control model of software is the heart part of Smart Home, the artificial intelligence applications for the smart home are the ultimate goal.

The determination of UV- and light doses received by people as a function of their activities and their environment, for present and future conditions, is the aim of the presented study. In this paper we present first preliminary results. Measurements of the total daily UV dose received by horizontal and vertical parts of the human body were performed on three chosen days in the region of Vienna, Austria. The measurements were performed in the UV and in the visible spectral range using ultraviolet selective sensors and sensors adapted to human eye sensitivity. Data acquisition was performed by using dataloggers. In this way it was also possible to determine the UV intensity and dose as a function of time and location. The UV intensity was determined for typical outdoor and indoor activities such as walking in a street, in a forest or in flat unobstructed areas. Indoors the determination of UV doses is more straightforward, the determination of the visible dose is however much more complex. A software was developed to determine the total daily dose received by the human body as a function of day and occupation.

To monitor changes in the landscapes at local to regional scales, a large amount of multi-temporal remote sensing products are required for the analysis. Due to the frequent need for remote sensing-based results, research as well as commercial organizations required automated, faster and more efficient methods for downloading and subsequently, processing the enormous amount of such remote sensing datasets. In this study, we have designed and developed geospatial data processing frameworks enriched with automated data search, download, and processing of Sentinel-1,-2 data. The analysis-ready outputs i.e. Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and radar backscatter $(\sigma^{\circ})$ etc. are essential in operational remote sensing use cases such as crop area, crop health, crop loss mapping. The overall framework for Sentinel-1,-2 has been successfully implemented in the Python programming environment.

Infrared Signature Analysis: Real Time Inspection of Manufacturing Processes© (1988) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

In developing a tiny crawler-type cultivator, the chassis speed needs to be accurately obtained in order to meet the requirements of precision agriculture for straight walking. This paper focuses on solving the problem of chassis speed measurement. Firstly, the principle of speed measuring device and the special M/T method is introduced. Then we use STM32F407ZGT6 as the hardware development environment and give the program flow chart to achieve the special M/T method. Finally, according to the demand of this project, the experimental results are obtained by taking different data, which prove the reliability of the special M/T method.

Over the past 10 years, digitization, big data, and technology advancement has had a significant impact on the work done by computer scientists, information scientists, and archivists. Together, each of these groups has contributed to unlock new areas of trans-disciplinary research that are critical for forward progression in the world of big data, while collectively spurring the creation of a new inter-disciplinary field – Computational Archival Science (CAS). Unfortunately, significant gaps exist, including the lack of a comprehensive definition of CAS. This paper closes those gaps by proposing a new, comprehensive definition of Computational Archival Science (CAS) while simultaneously highlighting key big data challenges that exist both in industry and academia. The paper also proposes important areas of future research especially in the context of big data and artificial intelligence.

Typhoon motoring using Global Navigation Satellite System (GNSS) signals is a new application of the GNSS-R technique, with increasing interest in the last years. Examples of that can be the CYGNSS (Cyclone Global Navigation Satellite System) spaceborne mission proposed by NASA, or the TIGRIS (Typhoon Investigation using GNSS-R Interferometric Signals) experiment, conducted in the framework of ESA-China cooperation. This paper focuses on the TIGRIS experiment, presenting the preliminary results obtained using the interferometric GNSS-R (iGNSS-R) technique. Peer Reviewed