Book
International Archives of Photogrammerty and Remote Sensing and Spatial Information
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives) is the series of peer-reviewed proceedings published by the International Society of Photogrammetry and Remote Sensing (ISPRS). In the early years of the Society, Archive Volumes were published independent of Congress or Technical Commission Symposia.
The archives of measurements at a network of stations of Roshydromet stocks of available water capacity and satellite measurements of relative soil moisture topsoil according with the instrument ASCAT (MetOp satellites) were used. The estimation of the statistical structure of the fields of available water capacity in the upper 10- and 20-cm soil layers, correlations were found between the data of remote sensing (RS) data and agrometeorological stations. Developed procedure for automated pre-control ground-based measurements. The algorithm is statistically optimal transform of remote sensing data in estimating the amount of moisture in the upper soil layer.
The coursebook "Cadastral Engineering" is aimed at developing the professionally oriented communicative competence of students majoring in city cadastral engineering, metrology, standardization and certification, and electronic engineering. The book can be used by undergraduate, graduate and post-graduate students, along with post-doctorate fellows and a wide variety of learners whose proficiency level is at least B1.
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.
The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:
Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.
Part II: biometrics; handwriting and document analysis; other applications.
The article analyzes the near-Earth space as a future habitat for humankind. This article investigates the factors affecting the location in this environment. We estimate the boundaries of space and related space. The article highlights the main features of the near-Earth space as a human-friendly environment.
For the first time, using satellite Earth remote sensing data, the maps of air pollution risks by nitrogen dioxide (NO2) over the territory of Europe with spatial resolution of 0.25º×0.25º (approximately 27.5 km × 18 km for the 48º latitude) were created. The suggested risk calculation technique is simple yet delivers extensive understanding of typical air pollution character. It is shown that the highest risks of air pollution by nitrogen dioxide in Europe are observed over Germany, Belgium, Netherlands and southern part of the North Sea as well as over large cities.
For the first time spatio-temporal characteristics of air pollution by sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon dioxide (CO2), carbon monoxide (CO) and aerosol over Ukraine and Europe are established. It was shown that moderate risks of air pollution by sulfur dioxide of eastern and western parts of Ukraine relate as 2:1. It was shown that values of moderate and high risks of European areas most polluted by aerosol (except the north of Italy) and Ukraine (Kyiv, Donetsk and Odessa regions) are approximately related as 1:1. Moderate levels of risks for Kiev, Donetsk and Odessa regions relate to moderate risk levels of other Ukrainian regions as 1.8:1. The maximum risk value of moderate pollution by nitrogen dioxide of the atmosphere of Europe and Ukraine relate as 3:1. The analysis of concentration dynamics of carbon dioxide for atmosphere of the whole earth for the last 8 years (2004–2011) revealed the increase for more than 20 ppm. It is shown that the atmosphere of Ukraine exposed to the same level of carbon monoxide pollution, as the atmosphere of other European countries.
To date, all remote sensing data are represented and stored as temporal sequences of separate “snapshots” – rasters or grids. This makes impossible to quickly obtain a time series of a variable values for the full available period for a region of a coordinate grid. Trend research – one of the most important topics in Earth science – becomes extremely complex and time consuming. This paper proposes an alternative data representation and corresponding storage technique. The data are represented as a collection of individual time series, one per each grid cell or raster pixel. New storage layout enables any time series to be always readily accessible. This approach considerably facilitates the application of existing time series techniques to remote sensing, climate reanalysis and similar data as well as provides new research and development opportunities not available before.
The article reveals the problem of convergence of direct and inverse problems in Earth Sciences, describes the features and application of these problems, discloses analytical features of direct and inverse problems. The convergence criteria and conditions for convergence were presented. This work is supported by the Grant of the Government of the Russian Federation for support of scientific research, implemented under the supervision of leading scientists in Russian institutions of higher education in the field "Space Research and Technologies" in 2011–2013.