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Wyszukujesz frazę "surface temperature" wg kryterium: Temat


Tytuł:
Comparison of direct and inverse methods of satellite observations downscaling for the coastal zone area
Autorzy:
Chybicki, A.
Łubniewski, Z.
Tematy:
Earth observation
land surface temperature
sea surface temperature
PBIM downscaling method
surface effective emissivity
Pokaż więcej
Wydawca:
Polskie Towarzystwo Akustyczne
Powiązania:
https://bibliotekanauki.pl/articles/331736.pdf  Link otwiera się w nowym oknie
Opis:
The Earth observation satellite imaging systems have known limitations, especially regarding their spatial and temporal resolution. Therefore, approaches which aim to combine data retrieved from sensors of higher temporal and lower spatial resolution with the data characterized by lower temporal but higher spatial resolution are of high interest. This allows for joint utilization of the advantages of both these types of sensors. As there are several ways to achieve this goal, in this paper two approaches, direct and inverse, of downscaling the land surface temperature (LST) derived from low resolution imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) were evaluated. The applied downscaling methods utilize biophysical properties of the surface sensed using short wave infrared and thermal band. The presented algorithm evaluation was performed on the basis of a specific test case: the coastal zone area of the Gulf of Gdańsk, Poland. In this context, the objective presented in the study was to compare two methods of downscaling for a specific test case in order to evaluate how the proposed approaches cope with the specific conditions of the coastal zone area.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The effect of training on infrared thermographic images of the forelimb and hindlimb joints of healthy racehorses
Autorzy:
Soroko, M.
Górniak, W.
Godlewska, M.
Howell, K.
Tematy:
thermography
horses
surface temperature
exercises
limbs
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Powiązania:
https://bibliotekanauki.pl/articles/16539089.pdf  Link otwiera się w nowym oknie
Opis:
The aim of this study was to evaluate the influence of training on body surface temperature over the joints in racehorses, measured by infrared thermography. The study involved monitoring of 14 Thoroughbred racehorses in 6 imaging sessions over a period of 3 months. Temperature measurements of the forelimb and hindlimb joints were made before and just after training. Joint temperature of limbs increased significantly after training. Environmental temperature had a statistically significant influence on surface temperature over the joints. The lowest surface temperatures were recorded over the metacarpophalangeal and metatarsophalangeal joint and the highest temperatures in the shoulder, elbow, hip and stifle joint. The metacarpophalangeal and metatarsophalangeal joints warmed the least during training, but were influenced the most by differences in environmental temperature. The surface temperature difference before and after training is an important indicator of the thermoregulatory response to exercise in racing horses. Understanding surface temperature changes in response to regular training is necessary for future studies on diagnosing injuries of joints.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Seasonal Variations of Sea Surface Temperature and Sea Current in the Celebes Sea
Autorzy:
Hapsari, Siti Nirmala
Syamsuddin, Mega Laksmini
Riyantini, Indah
Sunarto, Sunarto
Tematy:
Celebes Sea
Sea Current
Sea Surface Temperature
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Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Powiązania:
https://bibliotekanauki.pl/articles/1031483.pdf  Link otwiera się w nowym oknie
Opis:
The waters of the Celebes Sea are an area that has quite complex dynamics because it is influenced by several factors, either regionally or globally. This influence certainly has an impact on variations in oceanographic conditions in waters such as Sea Surface Temperature (SST) and sea currents. Currently, there are many observations of oceanographic data, one of which is by using remote sensing methods. The purpose of this study was to determine the seasonal variations in sea surface temperature and sea surface currents in the Celebes Sea using a remote sensing system in a time series for 5 years (2014-2018). The results of this study indicate data on seasonal variation of SST and sea surface currents have an average maximum SST value for 5 years occurring in the eastern season and the second transitional season (May, June, July) with an average value range of 30.6 °C - 31.1 °C and the average maximum sea current velocity for 5 years occurs in the western monsoon with a value range of 0.72 m/s - 0.77 m/s. The high SST value and sea current velocity are caused by the influence of the season which causes variations in the ongoing rainfall, also presumably due to the opposite direction between the monsoon wind and the direction of the main current flowing in the Celebes Sea.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sea surface temperature retrieval from MSG-SEVIRI data in the Baltic Sea area
Autorzy:
Wozniak, M.
Krezel, A.
Tematy:
sea surface temperature
Baltic Sea
algorithm
mid-latitude region
spatial resolution
regression analysis
surface temperature
marine environment
climate change
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Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Powiązania:
https://bibliotekanauki.pl/articles/47694.pdf  Link otwiera się w nowym oknie
Opis:
The aim of the paper was to confirm the proposition that the classical SST algorithms MCSST and NLSST originally prepared for AVHRR data could also be used for Meteosat/SEVIRI data with satisfactory accuracy in the mid-latitude region, where the spatial resolution is about 7×7 km. The research was performed in the southern Baltic Sea (between 13◦E 53◦N and 21◦E 58◦N). Data were collected in all the seasons of 2007. The coefficients were found by means of regression analysis. SSTs determined on the basis of AVHRR data were used in the regression analysis instead of in situ data. A set of paired AVHRR and SEVIRI images spaced no more than 8 minutes apart were compared. The results show that the method is capable of producing sea surface temperatures with a statistical error (standard deviation) of 1◦C.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A simulation model of seawater vertical temperature by using back-propagation neural network
Autorzy:
Zhao, N.
Han, Z.
Tematy:
neural network
Agro data
vertical structure
surface temperature
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Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Powiązania:
https://bibliotekanauki.pl/articles/259762.pdf  Link otwiera się w nowym oknie
Opis:
This study proposed a neural-network-based model to estimate the ocean vertical water temperature from the surface temperature in the northwest Pacific Ocean. The performance of the model and the sources of errors were assessed using the Gridded Argo dataset including 576 stations with 26 vertical levels from surface (0 m)–2,000 m over the period of 2007–2009. The parameter selection, model building, stability of the neural network were also investigated. According to the results, the averaged root mean square error (RMSE) of estimated temperature was 0.7378 °C and the correlation coefficient R was 0.9967. More than 67% of the estimates from the four selected months (January, April, July and October) lay within ± 0.5 °C. When counting with errors lower than ± 1°C, the lowest percentage was 83%.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Badanie dokładności odwzorowania obiektów na podstawie stereopary zdjęć termograficznych
Autorzy:
Wróbel, A.
Tematy:
obraz termograficzny
temperatura powierzchni
rozkład temperatury
thermogram
surface temperature
temperature distribution
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Wydawca:
Stowarzyszenie Geodetów Polskich
Powiązania:
https://bibliotekanauki.pl/articles/131056.pdf  Link otwiera się w nowym oknie
Opis:
Obraz termo graficzny ukazuje rozkład temperatury powierzchni obiektu. Jeśli obiekt ma zróżnicowaną temperaturą to obserwacja stereoskopowa obrazów termograficznych powinna umożliwić utworzenie przestrzennego obrazu tego obiektu. Pomogłoby to w identyfikacji elementów obiektu, a zatem ułatwiłoby interpretacją termogramów. Umożliwiłoby również uzyskiwanie bezpośrednio z termogramów geometrii rozkładu temperatury bez konieczności dodatkowych pomiarów fotogrametrycznych. Rozkład temperatury na powierzchni obiektu ma charakter ciągły. Powoduje to rozmycie szczegółów na termogramie, co w porównaniu do obrazów w paśmie widzialnym, zwiększa błąd pomiaru wybranych punktów obiektu.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of satellite observations for the evaluation of the land surface temperature from GEM model forecast
Autorzy:
Gawuc, L.
Struzewska, J.
Kaminski, J. W.
Durka, P.
Tematy:
MODIS
surface temperature
model evaluation
temperatura powierzchni
ocena modelu
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Wydawca:
Fundacja na Rzecz Młodych Naukowców
Powiązania:
https://bibliotekanauki.pl/articles/115542.pdf  Link otwiera się w nowym oknie
Opis:
Application of satellite observations for the evaluation of the land surface temperature from GEM model forecastAbstract: The Global Environmental Multiscale model (GEM) was evaluated against satellite observations and measurements from synoptic stations. The computational grid was set up in the global variable mode with the resolution of ~25 km over Central Europe. Model evaluation was performed over Central Europe within a window of 43-56°N latitude and 10-25°E longitude. Surface temperature forecasts were compared with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature product. Air temperature measured at the height of 2 metres was obtained from about 480 synoptic stations from 13 Central Europe countries. Air temperature measurements collected at 9 UTC and 12 UTC during five days (31 January, 2 February, 3 March, 27 April and 18 June 2012) was compared with the GEM model results. Evaluation showed good agreement between modelled and observed data. In case of air temperature, the averaged value of the Mean Bias Error (MBE) was -0.42, the averaged Root Mean Square Error (RMSE) and the Mean Absolute Gross Errors (MAGE) were 3.21 and 2.32, respectively. Land surface temperature comparisons gave results of -2.01; 3.91 and 3.24 of the (MBE), (RMSE), and (MAGE), respectively. Also, correlation of derived modelling errors between surface temperature and air temperature are discussed. In each case the correlation coefficient was positive. The highest value (0.70) was obtained for periods when surface – atmosphere radiative exchange processes were dominant.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Remote sensing techniques to assess chlorophyll lfuorescence in support of crop monitoring in Poland
Autorzy:
Gurdak, Radosław
Bartold, Maciej
Tematy:
spectral vegetation indices
land surface temperature
JECAM
Sentinel satellites
Pokaż więcej
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Powiązania:
https://bibliotekanauki.pl/articles/1955011.pdf  Link otwiera się w nowym oknie
Opis:
The increase in demand for food and the need to predict the impact of a warming climate on vegetation makes it critical that the best tools for assessing crop production are found. Chlorophyll fluorescence (ChlF) has been proposed as a direct indicator of photosynthesis and plant condition. The aim of this paper is to study the feasibility of estimating ChlF from spectral vegetation indices derived from Sentinel-2, in order to monitor crop stress and investigate ChlF changes in response to surface temperatures and meteorological observations. The regressions between thirty three Sentinel-2-derived VIs, and ChlF measured on the ground were evaluated in order to estimate the best predictors of ChlF. The r-Pearson correlation and polynomial linear regression were used. For maize, the highest correlation between ChlF and VIs were found for NDII (r=0.65) and for SIPI (r=-0.68). The weakest relationship between VIs and ChlF were found for sugar beets. Despite this, it should be noted that the highest correlation for sugar beets appeared for EVI (r=0.45) and S2REP (r=0.43). The results of this study indicate the need for a synergy of low and high resolution satellite data that will enable a more detailed analysis for estimating fluorescence and its relation to climatic conditions, environmental aspects, and VIs derived from satellite images.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The analysis of fire hotspot distribution in Kalimantan and its relationship with ENSO phases
Autorzy:
Zahra, Rahma Aulia
Nurjani, Emilya
Sekaranom, Andung Bayu
Tematy:
fire hotspot
ENSO
rainfall
land surface temperature
soil moisture
Pokaż więcej
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Powiązania:
https://bibliotekanauki.pl/articles/52496184.pdf  Link otwiera się w nowym oknie
Opis:
Kalimantan experiences fire hazards almost every year, which threaten the largest tropical forest in Southeast Asia. Climatic conditions, such as increasing surface temperature and decreasing rainfall, become important especially when El Nino Southern Oscillation (ENSO) occurs. Studies on fire are commonly conducted based on the climatic condition such as the dry or wet season, but those which focused on analysis of fire occurrences with the specific ENSO phases are still limited. This study aims to identify the spatial and temporal distribution of rainfall, land surface temperature, and soil moisture and analyses the distribution of hotspots in Kalimantan from 2014 to 2020 during different ENSO phases. The data used are Moderate Resolution Imaging Spectroradiometer (MODIS) for hotspot analysis, Global Precipitation Measurement (GPM) for rainfall analysis, MODIS Land Surface Temperature (LST) for surface temperature analysis and Soil Moisture Active Passive (SMAP) for soil moisture analysis. The methods used were descriptive and spatial analyses based on each ENSO phase, which were then combined to analyse the temporal and spatial distribution of fire, rainfall, LST and soil moisture. The temporal distribution shows a positive relationship between ENSO, rainfall, LST, soil moisture and hotspots with a confidence level of 90% in the dry months of August– October. Fire occurred in most parts of West and Central Kalimantan, associated with low elevation, organic soil types and agricultural peatland. The average trend of increasing hotspots is 17.4% in the El Nino phase and decreasing hot- spots by 84.7% in the La Nina phase during August–October in Kalimantan.
Dostawca treści:
Biblioteka Nauki
Artykuł

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