Ograniczanie wyników
Czasopisma help
Autorzy help
Lata help
Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 31

Liczba wyników na stronie
first rewind previous Strona / 2 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  satellite data
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 2 next fast forward last
EN
The study included the analysis of changes in sea surface and water column temperature and air temperature in the years 1959–2019 in the southern Baltic Sea based on in situ measurement (CTD probe), satellite data, and model data (ERA5). SST increased on average by 0.6°C per decade. Analyses at different depths showed that the highest temperature increase per decade at 0.60–0.65°C characterised the layers from 0 to 20 m. The smallest increase (0.11°C) was recorded at a depth of 70 m, below which the temperature change per decade increases again to 0.24°C. The results from satellite observations covering 1982–2019 were consistent with measurement data. The most intense water warming occured in the spring – summer (0.8–1°C per decade); in the winter, the change did not exceed 0.2°C. In the offshore area, in 1951–2020, air temperature increased by approx. 2°C, with an average increase of 0.37°C per decade. The average increase in seawater temperature in the coastal zone was 0.2°C per decade. The most intense warming characterised March to May (0.25–0.27°C). The average annual air temperature increase on the coast from 1951 to 2020 was 0.34°C per decade. The results represent an important contribution to research and prediction of changes in the marine environment caused by global climate change.
2
Content available remote Nic się nie ukryje
3
Content available remote Nasze plejady
EN
This study concerns a Saharan wetland of southern Morocco, the Imlili Sebkha, located south of the Dakhla city. Considered among the rare permanent saharan sebkhas, it is recharged by episodic surface water supplies from an endorheic hydrographic network and by the unconfined aquifer, which emerges permanently through tens of shallow natural cavities. Using satellite data (DEM and rainfall), supplemented by field observations, an analysis of surface water supplies is carried out in this article. Due to the low slopes and the almost generalized silting of the catchment area, most of the rainwater is evaporated or recovered by the phreatic aquifer. Only a small proportion would arrive to the wetland, which would come from the surroundings of the sebkha. Nevertheless, these low inputs can flood a large part of the wetland, including the groundwater cavities, especially during the biggest autumn storms.
EN
This paper presents the evolution of the mesoscale convection system as seen on satellite images during all stages: pre-convection, initiation, and maturity. The evolution of any atmospheric phenomenon can be monitored effectively only when the data available have adequate temporal and spatial resolution. In case of convective storms the resolution should be minutes and kilometers. Therefore, data from the METEOSAT geostationary satellite, with 5-minute and 15-minute intervals were used operationally to monitor the storm of 11 August 2017; this was a most destructive storms, concentrated in several districts of the Pomeranian, Greater Poland, and Kuyavian-Pomeranian voivodeships. Analysis demonstrated that some alarming features, like cold rings or cold U/V shapes, can be visible on the single channel satellite images, without even referring to specific convective products. However, the nowcasting of the convective phenomena requires careful analysis of several dedicated products, including stability indices and water vapor content in the troposphere. It has been shown that with comprehensive analysis of the information provided by the different satellite images and satellite derived products, it is possible to draw conclusions about the severity of the observed storms as well as the probability of the occurrence of the extreme weather at the ground.
EN
The aim of the study was to diagnose the main trends of changes in land cover in selected communes of Polish metropolitan areas. Detailed studies were conducted in deliberately selected housing estates located in the core of metropolitan area (at least one housing estate) and communes located directly at the border of cities and located on the outskirts of metropolitan areas. The examined communes also differed in the quality of natural conditions of agricultural production. The study used LANDSAT 5 TM and RapidEye satellite images from three limited-time registrations (1996/1999, 2011, 2016/2017). On the basis of remote sensing data, changes in land use were specified by presenting them in a graphic form as compilation of numerical maps. The analyses were performed on processed images (colour compositions), which were subjected to supervised classification using the maximum-likelihood technique. The quality control of supervised classification showed accuracy of 89.3% for LANDSAT 5 TM scene analyses and 91.8% for RapidEye images. Kappa coefficient for the discussed classification was: 0.84 (LANDSAT TM) and 0.89 (Rapid Eye). The results obtained for individual metropolitan areas allow to identify the directions of changes (Land Use Change Cover) taking place in them, with consideration to specificity of each of them.
7
Content available remote Z orbity widać ogień w Ukrainie
8
Content available remote W sukurs obrońcom praw człowieka
9
Content available remote Sentinel w zasięgu ręki
EN
This study reports the propagation dynamics of the Kara Sea surface desalinated layer (SDL) during the summer and autumn seasons. We analysed shipboard measurements data collected in 2013-2018 and MODIS ocean colour data that correlated with the shipboard ones. We formulated a comparatively strict criterion to determine the SDL border based on satellite data. For that, we analyzed the shipboard flow-through measuring system data obtained while crossing the surface desalinated layer border. Further, we used a regional algorithm to process the satellite data and estimate the coloured dissolved organic matter absorption coefficient for the Kara Sea. The results demonstrate a significant effect of the wind regime on the interseasonal and interannual variability of the transformation of the SDL boundaries. The positions of the surface desalinated layer boundaries at different times during 2013-2018 are given. The obtained results are important for calculating the heat balance and analyzing the Kara Sea bio-productivity.
EN
This study was designed to presents concise review of a novel subject regarding the use of large data sets (Big Data) which generates the functioning of the power system and their use to improve the operation and economic benefits of Smart Grids. Thanks to smart metering, we have current access to the data on the use of resources, which then using SCADA system and servers that support large data sets such as Apache Hadoop or Spark can be stored. Afterwards, these data are used for predictive calculations that are extremely important from an economic point of view. At the end of the paper, an interesting proposition of research is given by Author, namely to use, as ancillary information, the satellite data obtained from the Copernicus Programme provided by the European Space Agency ESA related for example with temperature to forecast energy consumption in electricity transmission and distribution networks.
PL
Praca ta zawiera zwięzły przegląd bardzo świeżej tematyki dotyczącej zagadnień wykorzystania dużych zbiorów danych (Big Data) jakie generuje funkcjonowanie systemu elektroenergetycznego i użycie ich do ulepszania działania i ekonomicznych korzyści w tychże systemach typu Smart Grids. Dzięki inteligentnemu opomiarowaniu mamy bieżący dostęp do danych dotyczących wykorzystania zasobów, które następnie za pomocą systemu SCADA oraz serwerów obsługujących duże zbiory danych jak np. Apache Hadoop czy Spark mogą zostać składowane i następnie wykorzystane do obliczeń predykcyjnych niezmiernie istotnych chociażby z ekonomicznego punktu widzenia. Ponadto ciekawą propozycją Autora jest wykorzystanie jako informacji pomocniczych danych satelitarnych z Programu Copernicus udostępnianych przez Europejską Agencję Kosmiczną ESA związanych przykładowo z temperaturą do prognoz zużycia energii w sieci energetycznej.
EN
The objective of the study was to compare the sum of actual sunshine duration in Poland, based on satellite and ground-based measurements during the period of 1983-2015. Results from the first group of data were derived from sunshine duration measurements from 44 surface synoptic stations belonging to the Polish Institute of Meteorology and Water Management (IMGW-PIB). The second group of data includes values from observations of Meteosat geostationary satellites (SARAH-2 climate data record), provided by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF). The study showed that in Poland, values of linear correlation coefficients (r) between both datasets are high, and range between 0.80 and 0.95. Differences in daily sums of sunshine duration are low, with the prevalence of positive deviations, i.e. slightly higher values for satellite data. The largest positive deviations were found in Tarnów, Zielona Góra, and Racibórz (+0.3 h), with equivalent negative deviations in Warsaw and on Kasprowy Wierch (−0.4 h). Moreover, minor discrepancies were found for the long-term variability of the mean annual sums of actual sunshine duration. However, after 1995, the deviations were insignificant, and averaged 4 hours. Differences between both data series are caused by several factors, including an underestimation of aerosols optical depth (AOD), as well as the failure to consider the type of clouds covering the Sun’s disc. With its high spatial resolution (0.05° × 0.05°), the satellite data can be a valuable source of information, particularly in regional studies of the spatial variation of sunshine duration.
EN
The studies on agricultural droughts require long-term atmospheric, hydrological and meteorological data. On the other hand, today, the possibilities of using spectral data in environmental studies are indicated. The development of remote sensing techniques, increasing the spectral and spatial resolution of data allows using remote sensing data in the study of water content in the environment. The paper presents the results of the analysis of moisture content of soil-plant environment in the lowland areas of river valley using the spectral data from Sentinel-2. The analyses were conducted between February and November 2016. The spectral data were used to calculate the Normalize Differential Vegetation Index (NDVI) which provided the information about the moisture content of the soil-plant environment. The analyses were performed only on grasslands, on 22 objects located in the research area in the Oder river valley between Malczyce and Brzeg Dolny, Poland. The NDVI values were correlated with the hydrological and meteorological parameters. The analyses showed spatial and temporal variability of the moisture conditions in the soil-plant environment showed by the NDVI variability and existence some relationships between the climatic and spectral indices characterizing the moisture content in the environment.
EN
The techniques of converting stereo-pair aerial photographs or satellite images are used to prepare the digital surface models (DSM), digital elevation models (DEM) or to obtain the height of the objects. Recently, the Copernicus Land Monitoring service released a product presenting the building heights for the major – capital cities in Europe. The Building Height 2012 layer was derived based on the stereo images acquired by the IRS-5 satellite close to the defined reference year 2012. The main aim of the study was to examine the accuracy of the Copernicus Building Height 2012 layer in comparison with the building height derived from airborne laser scanning system. The study was carried out over the city of Warsaw (the capital of Poland). In general, data from both datasets are compatible, however the overestimation of the height was observed. The comparison carried out in two ways produced similar results. On average, the overestimation of the satellite-based building height for the study area reached 1.08 m.
PL
Techniki przetworzenia stereopar zdjęć lotniczych lub obrazów satelitarnych wykorzystywane są do tworzenia numerycznych modeli terenu, numerycznych modeli pokrycia terenu czy generowania wysokości budynków. W 2018 r., w ramach europejskiego programu monitorowania powierzchni Ziemi – Copernicus Land Monitoring została udostępniona warstwa przedstawiająca wysokości budynków obejmująca zasięgiem wszystkie Europejskie stolice. Warstwa wysokości budynków została opracowana na podstawie analizy stereopar obrazów satelitarnych z satelity IRS-5, zarejestrowanych około roku 2012. Głównym celem prowadzonych analiz było wykonanie oceny jakościowej warstwy wysokości budynków Building Height 2012 w odniesieniu do krajowych danych referencyjnych, którymi są dane z lotniczego skaningu laserowego uzyskane w ramach projektu ISOK. Analizami objęto obszar miasta Warszawy. Wyniki analizy pokazują, że jest całkiem duża zgodność pomiędzy dwoma zbiorami danych, jednakże zaobserwowano także przeszacowanie wartości wysokości budynków. Obie metody porównania wykorzystane w tej pracy przyniosły podobne wyniki. Średnia wartość przeszacowania w wysokościach uzyskanych z danych satelitarnych wynosi 1.08 m.
15
Content available Processing of satellite data in the cloud
EN
The dynamic development of digital technologies, especially those dedicated to devices generating large data streams, such as all kinds of measurement equipment (temperature and humidity sensors, cameras, radio-telescopes and satellites – Internet of Things) enables more in-depth analysis of the surrounding reality, including better understanding of various natural phenomenon, starting from atomic level reactions, through macroscopic processes (e.g. meteorology) to observation of the Earth and the outer space. On the other hand such a large quantitative improvement requires a great number of processing and storage resources, resulting in the recent rapid development of Big Data technologies. Since 2015, the European Space Agency (ESA) has been providing a great amount of data gathered by exploratory equipment: a collection of Sentinel satellites – which perform Earth observation using various measurement techniques. For example Sentinel-2 provides a stream of digital photos, including images of the Baltic Sea and the whole territory of Poland. This data is used in an experimental installation of a Big Data processing system based on the open source software at the Academic Computer Center in Gdansk. The center has one of the most powerful supercomputers in Poland – the Tryton computing cluster, consisting of 1600 nodes interconnected by a fast Infiniband network (56 Gbps) and over 6 PB of storage. Some of these nodes are used as a computational cloud supervised by an OpenStack platform, where the Sentinel-2 data is processed. A subsystem of the automatic, perpetual data download to object storage (based on Swift) is deployed, the required software libraries for the image processing are configured and the Apache Spark cluster has been set up. The above system enables gathering and analysis of the recorded satellite images and the associated metadata, benefiting from the parallel computation mechanisms. This paper describes the above solution including its technical aspects.
EN
This study aimed to estimate above-ground carbon sequestration of orchards using satellite data. The research methodology analyzed the relationship between the amount of above-ground carbon sequestration and vegetation indices from the data obtained from LANDSAT 8 OLI including (1) Difference Vegetation Index (DVI), (2) Green Vegetation Index (GVI), (3) Simple Ratio (SR), (4) Normalized Difference Vegetation Index (NDVI), and (5) Transformed Normalized Difference Vegetation Index (TNDVI) in order to find out the most appropriate equation to estimate above-ground carbon sequestration of the orchards in the study area at Sang Kho sub district, Phu Phan district, Sakon Nakhon province in northeast Thailand. The study results found that the relationship between the amount of above-ground carbon sequestration and the most appropriate index relating to vegetation was TNDVI. At any rate, TNDVI had the relationship equation y = 0.226e0.039x and coefficient of determination R2 = 0.877, which represented the amount of above-ground carbon sequestration in the study area in a total of 40.86 tons per hectare.
EN
Mediterranean regions have experienced significant soil degradation over the past decades. In this context, careful land observation using satellite data is crucial for understanding the long-term usage patterns of natural resources and facilitating their sustainable management to monitor and evaluate the potential degradation. Given the environmental and political interest on this problem, there is urgent need for a centralized repository and mechanism to share geospatial data, information and maps of land change. Geospatial data collecting is one of the most important task for many users because there are significant barriers in accessing and using data. This limit could be overcome by implementing a WebGIS through a combination of existing free and open source software for geographic information systems (FOSS4G). In this paper we preliminary discuss methods for collecting raster data in a geodatabase by processing open multi-temporal and multi-scale satellite data aimed at retrieving indicators for land degradation phenomenon (i.e. land cover/land use analysis, vegetation indices, trend analysis, etc.). Then we describe a methodology for designing a WebGIS framework in order to disseminate information through maps for territory monitoring. Basic WebGIS functions were extended with the help of POSTGIS database and OpenLayers libraries. Geoserver was customized to set up and enhance the website functions developing various advanced queries using PostgreSQL and innovative tools to carry out efficiently multi-layer overlay analysis. The end-product is a simple system that provides the opportunity not only to consult interactively but also download processed remote sensing data.
18
Content available remote Na wyciągnięcie ręki
19
PL
Napromieniowanie określa sumę energii promieniowania słonecznego jaka pada na określoną powierzchnię w danym przedziale czasu. Dzięki tej wielkości fizycznej człowiek jest w stanie określić zasoby energii słonecznej w danym czasie i miejscu. Jest to istotne zwłaszcza dla takich branż jak rolnictwo, budownictwo czy energetyka, gdzie ma pośrednie lub bezpośrednie przełożenie na finanse. Napromieniowanie jest wartością pozornie łatwą od zmierzenia, wystarczy do tego odpowiednia aparatura pomiarowa. Problem pojawia się jednak gdy pomiary obejmują znaczy obszar a urządzenia mierzące są często nie skalibrowane w odpowiedni sposób. Wydaje się więc, że najlepszym rozwiązaniem było stosowanie jednego typu urządzeń, połączonych ze sobą specjalną siecią informacyjną. Rozwiązaniem może być pomiar dokonywany przez satelity krążące wokół kuli ziemskiej. W niniejszej pracy podjęto próbę określenia warunków nasłonecznienia Polski, sporządzając analizę, wykorzystującą bazę danych, opartą na ponad 20-letniej rejestracji promieniowania słonecznego na świecie przez system satelitarny, w ramach projektu NASA: „Surface Meteorology and Solar Energy (SSE)”.Pomiary mają rozdzielczość jednego stopnia szerokości i długości geograficznej. Obliczenia i ich metodologia zawarte w artykule pozwoliły na opracowanie topologii nasłonecznienia dla wybranych szerokości geograficznych naszego kraju. Wyniki analizy przedstawiono w formie graficznej. Wyniki przeprowadzonej analizy mogą służyć pomocą w procesie planowania inwestycji energetyki słonecznej na terenie Polski.
EN
Solar irradiation defines the amount of solar radiation which falls on specific surface in a given period of time. Due to this physical value one can estimate solar energy resources in a given time and place. This is especially important in the following sectors as agriculture, construction and energetics, wherever there is direct or indirect impact on finances. The value is a seemingly easy to measure, you only need an appropriate measuring equipment. The problem arises, however, when measurements cover a large area and the measuring devices are often not calibrated properly. Therefore it seems that the best solution would be using one type of devices, interconnected via special information network. The solution may be the measurement performed by satellites which are orbiting the earth. The content included herein is a trial to determine the conditions of insolation in Poland, by preparing analysis uses a database based on over 20 years of registration of solar radiation in the world by the satellite system, as part of NASA "Surface Meteorology and Solar Energy (SSE)." The measurements have a resolution of one degree of latitude and longitude. Calculations and their methodology contained in the article provided an opportunity to draw up a topology insolation for selected latitudes taking into account the relevant factors. The analysis results are shown in the drawings. Content of the drawings is dependent on the type of factor analyzed. The results of the analysis can serves in the planning of investments and modernization in Poland and affecting the effective management of solar energy for useful purposes.
PL
Współczesne metody teledetekcyjne, w szczególności oparte o dane satelitarne, pozwalają na realizację badań środowiska na skalę praktycznie niemożliwą do uzyskania w przypadku badań terenowych. Ponadto obserwacje zdalne pozwalają na jakościową i ilościową ocenę obserwowanych parametrów z wysoką rozdzielczością przestrzenną i czasową na dużych obszarach. Kolejnym atutem jest możliwość uzyskania informacji praktycznie w tym samym czasie dla dużego obszaru co zapewnia spójność czasowa pomiarów. Jest to bardzo istotne z punktu widzenia pewnych zjawisk wykazujących dużą zmienność w czasie i w przestrzeni (np. wilgotność gleby). W przypadku niektórych procesów, które nie wykazują dużej dynamiki lub ich analiza wymaga oceny stanu początkowego, możliwa jest analiza historyczna do nawet około 20 lat wstecz. Teledetekcja i systemy informacji przestrzennej powinny stanowić, i często stanowią nieodzowne narzędzia w wizualizacji, planowaniu i prowadzeniu badań szeroko pojętego środowiska.
EN
During the last few decades, there has been a quantum leap in information technologies. This also applies to remote sensing research. There has been a significant improvement in the availability of data and commercial and open source software packages for spatial analysis. The paper briefly presents several methods of land observations using remote sensing which could be useful for the purposes of environmental engineering research. Visualization of cases, vegetation condition analysis, soil moisture observations and monitoring of changes on the surface are only a few possible applications. Remote sensing methods, in particular those based on satellite data, allow for the implementation of a research scale virtually impossible to carry out in field studies and in-situ measurements. Moreover, remote research allows a qualitative and quantitative as of the observed parameters with much greater spatial and temporal resolutions (especially for large areas). The authors put a lot of emphasis on showing potential benefits of using remote sensing in environmental engineering issues.
first rewind previous Strona / 2 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.