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Wyświetlanie 31-45 z 540
Tytuł:
Crop production intensity and haNDVI indicator – amplitude of NDVI related to harvest
Autorzy:
Łopatka, Artur
Koza, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2147933.pdf
Data publikacji:
2020-11-30
Wydawca:
Instytut Uprawy Nawożenia i Gleboznawstwa – Państwowy Instytut Badawczy
Tematy:
remote sensing
NDVI
nitrogen fertilizers
Sentinel
MODIS
Opis:
In response to the growing needs of spatial recognition of the intensity of agricultural crop production, a new haNDVI indicator was developed, that measures the amplitude of the NDVI indicator related to the harvest. The proposed way of calculating haNDVI is to use the minimum and maximum functions for the raster layers set from the growing season. This avoids the need for preliminary classification of crops, including to determine the moment of harvest. It has been shown that the haNDVI indicator calculated on aggregated NDVI layers with a resolution of 1 km is correlated with soil quality indexes, NPK fertilization intensity (r = 0.69) and the share of crops in the total area (r = 0.86) for municipalities. The properties of the haNDVI indicator make it particularly useful for the initial, rapid scanning of environmental quality in terms of the intensity of plant production and indicating the hazards locations associated with the use of fertilizers and plant protection products.
Źródło:
Polish Journal of Agronomy; 2020, 42; 24-33
2081-2787
Pojawia się w:
Polish Journal of Agronomy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Colorimetric Parameters Modeling of Test Micro-Ecosystems for Lands Pollution Remote Sensing
Autorzy:
Vуsotska, Olena
Greben, Aleksandr
Kalashnikova, Vasilisa
Klochko, Tetiana
Rakhmetullina, Saule
Kotyra, Andrzej
Mamyrbaev, Orken
Iskakova, Aigul
Powiązania:
https://bibliotekanauki.pl/articles/1839122.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
pollution
system dynamics
colorimetric parameters
remote sensing
Opis:
The paper describes a methodology of determining the toxicity sources, using bioassay based on the wildlife objects that change their colorimetric parameters under the influence of toxic factors. The work explores the dynamism of the colorimetric attributes associated with plant pigments. It can be determined by computer processing of the data obtained from digital remote sensing of the lands affected by toxic pollution by means of such relatively low-cost and straightforward methods as digital photography from an aircraft or a drone. The results obtained do not allow direct measurements but rather serve as a basis for the development and characterization of new biomarkers.
Źródło:
Journal of Ecological Engineering; 2021, 22, 2; 161-168
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Theoretical investigation of slab waveguide sensor using anisotropic metamaterial
Autorzy:
Taya, S. A.
Powiązania:
https://bibliotekanauki.pl/articles/174457.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
anisotropic waveguides
optical sensing
double negative materials
Opis:
A three-layer slab waveguide with air as a substrate, lossless dielectric as a guiding film, and anisotropic double negative material as a cladding is explored as an optical sensor for refractometry applications. The double negative material is assumed to have a negative electric permittivity and magnetic permeability only along the wave propagation direction. The sensitivity of a guided mode to the variation in the refractive index of air substrate is derived and studied for the first few guided modes. It is found that the sensitivity can be enhanced with decreasing the guided light frequency as well as the film thickness. The sensitivity can reach 100% for some waveguide configurations.
Źródło:
Optica Applicata; 2015, 45, 3; 405-417
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Observed vertical distribution of tropospheric carbon monoxide during 2012 over Iraq
Autorzy:
Abdulfattah, Ibtihaj S.
Rajab, Jasim M.
Al-Salihi, Ali M.
Suliman, Aha
Lim, Hwee S.
Powiązania:
https://bibliotekanauki.pl/articles/118644.pdf
Data publikacji:
2020
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
AIRS
remote sensing
pollution
carbone monoxide
Iraq
Opis:
The atmospheric parameters observations enable to made continental and global scales by remote sensing devices existent in space. One of these instruments is the Atmospheric InfraRed Sounder (AIRS) onboard Aqua satellite. We characterize the vertical distribution of troposphere carbon monoxide (CO) measured by AIRS over IRAQ. This study presents one year data. Results shown standard deviation of monthly troposphere CO for five locations: Baghdad, Basrah, Maysan, Al Fakka, and Mosul, from January to December 2012, was 107.15 ±18.75 ppbv for entire period depend on whether circumstance and topography. The seasonal differences undulate between winter and summer seasons, with higher values CO in the winter than in the summer and autumn seasons. In addition, the rising in troposphere CO values can be measured during year over the manufacturing and crowded urbanized zones. AIRS observations reveal enhanced abundances of CO, with values that can exceed 120 ppbv at approximately 4 km altitude over Baghdad and Mosul. The lower CO amounts observed of approximately 88–90 ppbv at 253 mb (altitude 11 km) during October. Comparisons over Baghdad station in 2012 showed close agreement between the ground CO data and the observed CO from AIRS, and regression result showed high correlation coefficient (R = 0.962). The vertical CO observation by AIRS is providing meaningful information for different altitude layers closer to the troposphere, and the satellite measurements are able to measure the increase of the atmosphere CO concentrations over varied regions.
Źródło:
Scientific Review Engineering and Environmental Sciences; 2020, 29, 2; 184-195
1732-9353
Pojawia się w:
Scientific Review Engineering and Environmental Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Desertification detected in the Udhaim River Basin, Iraq. Based on Spectral Indices Derived from Remote Sensing Images
Autorzy:
Mail, Abd Al Salam Mohammed
Powiązania:
https://bibliotekanauki.pl/articles/2108226.pdf
Data publikacji:
2017-10-04
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
Desertification
GIS
remote sensing
spectral indices
Iraq
Opis:
In this study, changes in Land Use Land Cover (LULC) have been investigated over the Udhaim River Basin in Iraq by using spectral indices. NDVI, NDBI, NDWI, NDBaI, and CI represent respectively the vegetation, built-up, water bodies, bare-land, and soil crust of LULC. Two different images were acquired for the analysis, namely a Landsat 5 TM image from 1 July 2007 and a Landsat 8 OLI from 5 June 2015, both representing summer conditions. Results show that the percentages of vegetated land and water body areas have decreased. On the contrary, the percentages of built-up, bare land and soil crust areas have increased. The loss of vegetated areas and water body areas is a signal of land degradation leading to desertification, due to the combined effects of climate conditions, water deficit and human activities. Field observation shows that human activities have a significant impact on land degradation.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2017, 21, 3; 124-131
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monitoring Nitrogen Dioxide (NO2) in Environment of Ukraine based on Satellite Data
Autorzy:
Yelistratova, Lesya
Apostolov, Alexander
Khodorovskyi, Artur
Tymchyshyn, Maksym
Powiązania:
https://bibliotekanauki.pl/articles/27314277.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
remote sensing
nitrogen dioxide
air pollution
Ukraine
Opis:
Air pollution (especially near industrial enterprises that are located mainly in densely populated regions) is one of the most significant problems of modern ecology. The purpose of this research is to study nitrogen dioxide air pollution over Ukraine, which has a negative impact on human health. As part of the research over the territory of Ukraine, the real planar distribution of nitrogen dioxide (NO2) as well as its local emissions (which make the main contribution to this distribution) were revealed using the materials of the remote sensing of the Earth from the AURA satellite. The results were calculated for the multi-year period of 2005 through 2021 and separately for 2022, which characterized the full-scale war in Ukraine and which made it possible to identify priority polluters; namely, industrial enterprises (thermal power plants, heavy metallurgy enterprises, etc.). For 17 years, the average value of NO2 was 160.78 · 102 molecules/mm2; in 2022, its concentration decreased to 126.93·109 molecules/mm2. The war manifested itself due to the shutdown of industrial enterprises, which were (and remain) priority polluters in Ukraine (particularly in large cities).
Źródło:
Geomatics and Environmental Engineering; 2023, 17, 6; 95--110
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of soil characteristics using three bands agri-cultural digital camera
Autorzy:
Glinko, Agnieszka
Kaźmierowski, Cezary
Piekarczyk, Jan
Królewicz, Sławomir
Powiązania:
https://bibliotekanauki.pl/articles/15804816.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
remote sensing
soil
spectroscopy
cubist
R Studio
Opis:
Remote sensing techniques based on soil spectral characteristics are the key to future land management; however, they still require field measurement and an agrochemical laboratory for the calibration of the soil property model. Visible and near-infrared diffuse reflectance spectroscopy has proven to be a rapid and effective method. This study aimed to assess the suitability of multispectral data acquired with the agricultural digital camera in determining soil properties. This 3.2-Mpx camera captures images in three spectral bands – green, red and near-infrared. First, the reference data were collected, which consist of 151 samples that were later examined in the laboratory to specify the granulometric composition and to quantify some chemical elements. Second, additional soil properties such as cation exchange capacity, organic carbon and soil pH were measured. Finally, the agricultural digital camera photograph was taken for every soil sample. Reflectance values in three available spectra bands were used to calculate the spectra indices. The relationships between the collected data were calculated using the independent validation regression model such as Cubist and cross-validation model like partial least square in R Studio. Additionally, different types of data normalisation multiplicative scatter correction, standard normal variate, min–max normalisation, conversion into absorbance] were used. The results proved that the agricultural digital camera is suitable for soil property assessment of sand and silt, pH, K, Cu, Pb, Mn, F, cation exchange capacity and organic carbon content. Coefficient of determina-tion varied from 0.563 (for K) to 0.986 (for soil organic carbon). Higher values were obtained with the Cubist regression model than with partial least squares.
Źródło:
Quaestiones Geographicae; 2022, 41, 3; 127-140
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modele stosowane do opisu architektury drzew i możliwości ich praktycznego wykorzystania w leśnictwie
Tree architecture descriptive models with forestry applications
Autorzy:
Kędra, K.
Stereńczak, K.
Gazda, A.
Powiązania:
https://bibliotekanauki.pl/articles/978911.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
forest modelling
forest ecosystems
remote sensing
geometry
Opis:
The qualitative and quantitative descriptive models of tree architecture differ in the degree of complexity and the way of mapping tree structure, and thus, are of varied use in forestry. The qualitative, Hallé−Oldeman models, serve as a framework for analyzing tree architecture and help define the different components of a tree branching system. Among the quantitative models (here: horizontal, three−dimensional or vertical ones) the horizontal representations are the most parsimonious, and proved to be useful for examining the effects of competition process and the light conditions within the forest understory. The three−dimensional representations (Quantitative Structural Models; QSMs) have the widest range of applications as they may be used for deriving both the two−dimensional traits (such as crown length or branch height) and the volumetric traits (such as tree crown volume or wood volume). At the same time they are the most complex ones. The vertical models were used to study the impact of local terrain shape and wind conditions on tree architecture, but the way of deriving such models from the QSMs seems excessively laborious. However, we highlight here also a photogrammetric method, which allows to obtain an analogous model in much simpler way. Both three−dimensional and vertical representations are useful for determining the wood quality features. Three−dimensional models can be used to accurately measure tree woody biomass, while horizontal models can be used for reliable biomass estimations.
Źródło:
Sylwan; 2020, 164, 09; 707-718
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Brief Review of Recent Developments in the Integration of Deep Learning with GIS
Autorzy:
Mohan, Shyama
Giridhar, M.V.S.S
Powiązania:
https://bibliotekanauki.pl/articles/2055781.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
deep learning
GIS
integration
classification
remote sensing
Opis:
The interaction of Deep Learning (DL) methods with Geographical Information System (GIS) provides the opportunity to obtain new insights into environmental processes through the spatial, temporal and spectral resolutions as well as data integration. The two technologies may be connected to form a dynamic system that is incredibly well adapted to the evaluation of environmental conditions through the interrelationships of texture, size, pattern, and process. This perspective has acquired popularity in multiple disciplines. GIS is significantly dependant on processors, particularly for 3D calculations, map rendering, and route calculation whereas DL can process huge amounts of data. DL has received a lot of attention recently as a technology with a plethora of promising results. Furthermore, the growing use of DL methods in a variety of disciplines, including GIS, is evident. This study tries to provide a brief overview of the use of DL methods in GIS. This paper introduces the essential DL concepts relevant to GIS, the majority of which have been published in recent years. This research explores remote sensing applications and technologies in areas such as mapping, hydrological modelling, disaster management, and transportation route planning. Finally, conclusions on contemporary framework methodologies and suggestions for further studies are provided.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 2; 21--38
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Plant communities of the Admiralty Bay region (King George Island, South Shetland Islands, Antarctic) I. Jasnorzewski Gardens
Autorzy:
Furmańczyk, Kazimierz
Ochyra, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/2057657.pdf
Data publikacji:
1982
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Antarctica
Admiralty Bay
phytosociology
photointerpretation
remote sensing
Źródło:
Polish Polar Research; 1982, 3, 1-2; 25-39
0138-0338
2081-8262
Pojawia się w:
Polish Polar Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal Voting Rule and Minimization of Total Error Rate in Cooperative Spectrum Sensing for Cognitive Radio Networks
Autorzy:
Ghosh, Samit Kumar
Trankatwar, Sachin Ravikant
Bachan, P.
Powiązania:
https://bibliotekanauki.pl/articles/1839471.pdf
Data publikacji:
2021
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
cognitive radio
energy detection
optimization
spectrum sensing
Opis:
In cognitive radio technology, spectrum sensing is essential for detecting spectrum holes which may be allotted to secondary users. In this paper, an optimal voting rule is used for cooperative spectrum sensing while minimizing the total error rate (TER). The proposed spectrum sensing method is more energy-efficient and may be implemented in practice. It is relied upon in an improved energy detector whose utilization depends on the presence or absence of the primary user. Expressions for false alarm and missed detection probabilities are derived in the paper as well. Overall performance is analyzed both for AWGN and Rayleigh fading channels, in the presence of additive white Gaussian noise (AWGN). The optimum voting rule is applied to the cooperative spectrum sensing process in order to identify the optimum number of sensing nodes and the detection threshold. Finally, an energy-efficient spectrum sensing algorithm is proposed, requiring a lower number of cognitive users for a given error bound.
Źródło:
Journal of Telecommunications and Information Technology; 2021, 1; 43-50
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal Voting Rule and Minimization of Total Error Rate in Cooperative Spectrum Sensing for Cognitive Radio Networks
Autorzy:
Ghosh, Samit Kumar
Trankatwar, Sachin Ravikant
Bachan, P.
Powiązania:
https://bibliotekanauki.pl/articles/1839487.pdf
Data publikacji:
2021
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
cognitive radio
energy detection
optimization
spectrum sensing
Opis:
In cognitive radio technology, spectrum sensing is essential for detecting spectrum holes which may be allotted to secondary users. In this paper, an optimal voting rule is used for cooperative spectrum sensing while minimizing the total error rate (TER). The proposed spectrum sensing method is more energy-efficient and may be implemented in practice. It is relied upon in an improved energy detector whose utilization depends on the presence or absence of the primary user. Expressions for false alarm and missed detection probabilities are derived in the paper as well. Overall performance is analyzed both for AWGN and Rayleigh fading channels, in the presence of additive white Gaussian noise (AWGN). The optimum voting rule is applied to the cooperative spectrum sensing process in order to identify the optimum number of sensing nodes and the detection threshold. Finally, an energy-efficient spectrum sensing algorithm is proposed, requiring a lower number of cognitive users for a given error bound.
Źródło:
Journal of Telecommunications and Information Technology; 2021, 1; 43-50
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sekcja Geomatyczna Koła Leśników w projekcie Pomerania - najnowsze technologie geopatyczne w szacowaniu biomasy drzew
Geomatics section academic circle foresters in Pomerania project - the latest technologies in geomatics in tree biomass evaluation
Autorzy:
Wołosz, A.
Powiązania:
https://bibliotekanauki.pl/articles/132351.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
teledetekcja
skaning laserowy
remote sensing
laser scanning
Opis:
Geomatic section at the Faculty of Forestry, Poznan University of Life Sciences organized the scientific forest camp for forestry students (ForseenPOMERANIA Camp). It was organized in the frame of the scientific project „Development of trans-border decision support system for remote and model assessment of forest dendromass in Pomerania Region”. Students actively attended in the measurements of model trees on the experimental plots located in the Drawno Forest Inspectorate. This task was supported by UE funds (INTERREG IV). During the measurements the latest remote sensing technologies and very specifi c equipments were applied. One of the goals of this project are to build the transgenic information system “Biomass” as well as elaborate the cheaper and faster methods of data collection on stand biomass. Thanks to laboratory results and tree measurements it will be able to elaborate models describing the dependencies.
Źródło:
Teledetekcja Środowiska; 2013, 49; 101-105
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Laboratory testing of velocity sensing in a magnetorheological damper with power generation
Autorzy:
Sapiński, B.
Powiązania:
https://bibliotekanauki.pl/articles/387253.pdf
Data publikacji:
2017
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
MR damper
power generator
voltage
velocity
sensing
Opis:
The study summarises the results of experimental examination of velocity sensing capability in a prototype of a magnetorheological damper with power generation (MRD). The device has two main components: an electromagnetic power generator and an MR damper. The study outlines the structure of the device with the main focus on the generator part, and provides results of tests performed under the idle run. The discussion of demonstrates the potentials of MRD action as a velocity-sign sensor and presents key issues which need to be addressed to enable its real life applications.
Źródło:
Acta Mechanica et Automatica; 2017, 11, 3; 186-189
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Teledetekcja jako metoda analizy ruchów masowych
Remote sensing as the method for analysis of mass movements
Autorzy:
Pilecka, E.
Powiązania:
https://bibliotekanauki.pl/articles/394322.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN
Tematy:
teledetekcja
ruchy masowe
remote sensing
mass movements
Opis:
W artykule omówione zostały możliwości zastosowania teledetekcji do badania ruchów masowych. Przeprowadzono analizę wykorzystania teledetekcji satelitarnej, lotniczej i naziemnego skanera laserowego do skanowania terenów osuwiskowych. Omówiono zagrożenie ruchami osuwiskowymi na terenie Polski. Przedstawiono przykłady zniszczeń spowodowanych osuwiskami w budynkach i infrastrukturze komunikacyjnej. Szkody takie powstają szczególnie po obfitych opadach deszczu, bowiem woda jest jednym z głównych czynników aktywujących ruch osuwiskowy. W artykule przedstawiono schemat tworzenia się osuwiska i czynniki wpływające na jego uaktywnienie. Porównano zalety i ograniczenia każdego z poziomów teledetekcji: satelitarnej, lotniczej i naziemnej. Do monitorowania powierzchniowego osuwisk wybrano metodę naziemnego skanowania jako najbardziej odpowiednią w zakresie rozdzielczości przestrzennej i czasowej. Obraz otrzymany tą metodą to trójwymiarowy model składający się z milionów pojedynczych punktów. Chmura punktów stanowi pewnego rodzaju dokumentację przestrzenną, do której możemy w każdej chwili wrócić, aby wykonać dodatkowe pomiary, analizy lub odtworzyć stan z dnia wykonania skanu. Ruchy masowe można śledzić na podstawie modelu różnicowego konstruowanego na podstawie dwóch lub więcej przestrzennych modeli.
The paper describes the applicability of remote sensing to the study of mass movements. An analysis of the use of satellite remote sensing, aerospace and terrestrial laser scanner to scan the landslide areas was carried out: Risk of landslide movements on the area of Poland was characterized. The examples of the devastation in buildings and transport infrastructure caused by landslides were presented. Such damage would occur especially after heavy rains, as water is one of the main factors activating mass movements. This paper presents the scheme to create a landslide movement and factors affecting its activation The advantages and limitations of each level remote sensing: satellite, aerospace and terrestrial laser scanner were presented. For monitoring of the landslide surface scanning method was selected as the terrestrial laser scanner for the most appropriate spatial and time resolution. Image by this method was a three-dimensional model consisting of millions of individual points. Cloud of points is a kind of spatial documentation to which we can return at any time to perform additional measurements, analysis, or restore the status of the implementation of the scan. Mass movements can be tracked on the basis of the constructed differential model based on two or more spatial models.
Źródło:
Zeszyty Naukowe Instytutu Gospodarki Surowcami Mineralnymi i Energią PAN; 2013, 84; 103-115
2080-0819
Pojawia się w:
Zeszyty Naukowe Instytutu Gospodarki Surowcami Mineralnymi i Energią PAN
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 31-45 z 540

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