Wszystkie pola: remote monitoring - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The System of Remote Monitoring of Microclimate Parameters of Bee Colonies
Autorzy:: Gabitov, Ildar
Linenko, Andrey
Yumaguzhin, Fitrat
Akchurin, Salavat
Valishin, Denis
Powiązania:: https://bibliotekanauki.pl/articles/2025481.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: digitalization
honey
Internet of things
LoRaWAN
microclimate
monitoring
wild beekeeping
Opis:: Accurate and timely measures to preserve the native populations of the wild honey bees need a study on the influence of housing conditions and environmental factors on the quality, productivity and viability of bee colonies. The authors have developed a system for remote monitoring of microclimate parameters of wild bee colonies based on the latest LoRaWAN technology. For studying the monitoring system based on the selected data transmission technology, data collection and transmission devices are implemented in two variants – based on ready-made monoblock devices (Variant 1) and composite devices (Variant 2) based on the Atmega328P microcontroller and photovoltaic power supply system with digital temperature and humidity sensors. Field tests of an experimental remote monitoring system were carried out in actual working conditions without power supply and communication systems. The tests involved 15 monoblock ready-made RAK7204 devices (Variant 1) and nine composite devices (Variant 2) based on the Atmega328P microcontroller. After the tests, Variant 1 was excluded from further use in research due to mass failure. Variant 2 passed the tests and participated in further research. The parameters of the power supply system of measuring devices and gateways are analyzed. The results of year-round monitoring of microclimate parameters of bee colonies were obtained. The study results prove the efficiency of the monitoring system based on LoRaWAN technology with the Atmega328P microcontroller devices and its operation comfort. During the study, it was recorded that the outer air temperature dropped to -36 °C. During the same period, the internal temperature significantly exceeded the air temperature. Besides, the highest temperature in wild hives during the winter months reaches +15 °C and +35.5 °C in the summer months. The temperature difference recorded in winter between the air inside wild hives and outer air reaches Δ30 °С.
Źródło:: Journal of Ecological Engineering; 2022, 23, 1; 264-273
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of Remote Sensing for Temperature Monitoring: the Technique for Land Surface Temperature Analysis
Autorzy:: Laosuwan, T.
Gomasathit, T.
Rotjanakusol, T.
Powiązania:: https://bibliotekanauki.pl/articles/123648.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: remote sensing
Landsat-8 OLI/TIR data
land surface temperature
Opis:: This research aimed to present the technique for land surface temperature analysis with the data from Landsat-8 Operational Land Imager (OLI) /Thermal Infrared Sensors (TIR) in Meuang Maha Sarakham District, Maha Sarakham Province, Northeast Thailand. The research was conducted as following three steps: 1) Collecting the satellite data in thermal infrared band from Landsat-8 TIR satellite to adjust the value of Top of Atmosphere (ToA) Reflectance and then analyzing the land Surface temperature 2) Collecting multi-band data from Landsat-8 OLI satellite to adjust the value of Top of Atmosphere (ToA) Reflectance and then analyzing values of Normalized Difference Vegetation Index (NDVI), Fractional Vegetation Cover (FVC) and Land surface Emissivity (LSE) 3) Bringing the results of 1) and 2) to analyze the land surface temperature with split window algorithm. The research results indicated that the analysis of the data from Landsat-8 OLI/TIR satellites in 18 March 2015 indicated a mean temperature of 33.57 °C.
Źródło:: Journal of Ecological Engineering; 2017, 18, 3; 53-60
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Ocena możliwości zastosowania teledetekcyjnych metod pomiaru eutrofizacji śródlądowych zbiorników wodnych
Assessment of the possibility of using remote sensing methods for measuring eutrophication of inland water reservoirs
Autorzy:: Pierzchała, Łukasz
Powiązania:: https://bibliotekanauki.pl/articles/1574486.pdf
Data publikacji:: 2020
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: eutrofizacja
chlorofil a
teledetekcja
monitoring jakości wód
eutrophication
chlorophyll-a
remote sensing
water quality monitoring
Opis:: Rozwój satelitarnych technologii obserwacji powierzchni ziemi stwarza możliwości wdrożenia nowoczesnych narzędzi monitoringu jakości wód powierzchniowych. W niniejszym artkule zaprezentowano wyniki badań, których celem było opracowanie zautomatyzowanej metody pomiaru eutrofizacji wód śródlądowych. Przeanalizowano zalety i ograniczenia przedmiotowej technologii oraz oceniono potencjalne możliwości jej wykorzystania. Podstawowym wskaźnikiem stanu troficznego wód powierzchniowych jest koncentracja chlorofilu-a w wodzie. W ramach przeprowadzonych badań uzyskano silny związek pomiędzy wartościami koncentracji chlorofilu-a określonych na podstawie standardowych metod pomiarowych, a wartościami tego parametru obliczonymi na podstawie satelitarnych danych spektralnych. Przedstawiono także funkcjonalności opracowanego oprogramowania pozwalającego na automatyczny pomiaru eutrofizacji wód śródlądowych za pomocą teledetekcji. Pomimo szeregu ograniczeń technologii, wykazano wysoki potencjał aplikacyjny przedmiotowego rozwiązania.
The development of satellite technologies for observing the earth’s surface creates the possibility of implementing modern tools for surface waters quality monitoring. This article presents the results of the research aimed at developing an automated method for assessment of the eutrophication of inland waters. The advantages and limitations of the technology were analyzed and the potential possibilities of its application were described. The basic indicator of the trophic state of surface waters is the concentration of chlorophyll-a in the water. As result of the research, a strong relationship was obtained between the chlorophyll-a concentration values determined on the basis of standard measurement methods, and the chlorophyll-a values calculated on the basis of satellite spectral data. The functionalities of the developed software for automated measuring eutrophication of inland water using temote sensing were also presented. Despite a number of limitations of the technology, high application potential of the solution has been demonstrated.
Źródło:: Inżynieria Ekologiczna; 2020, 21, 4; 27-32
2081-139X
2392-0629
Pojawia się w:: Inżynieria Ekologiczna
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Integration Remote Sensing and Meteorological Data to Monitoring Plant Phenology and Estimation Crop Coefficient and Evapotranspiration
Autorzy:: Hassan, Diaa Fliah
Abdalkadhum, Aysar Jameel
Mohammed, Rafal J.
Shaban, Amin
Powiązania:: https://bibliotekanauki.pl/articles/2086414.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: actual evapotranspiration
crop coefficient
remote sensing
vegetation index
Opis:: The water requirements of the wheat crop are represented by the actual evapotranspiration, which depends on the meteorological data of the study area and the amount of water consumed during the season. Estimation of crop coefficients (Kc) and evapotranspiration (ETc) using remote sensing data is essential for decision-making regarding water management in irrigated areas in arid and semi-arid large-scale areas. This research aims to estimate the crop coefficient calculated from remote sensing data and the actual evapotranspiration values for the crop. The FAO Penman-Monteith equation has been used to estimate the reference evapotranspiration from meteorological data. Linear regression analysis was applied by developing prediction equations for the crop coefficient for different growth stages of comparing with the vegetation cover index (NDVI). The results showed that (R2 = 0.98) between field crop coefficient and crop coefficient predicted from (Kc = 2.0114 NDVI-0.147) in addition to (RMSE = 0.92 and (d = 0.97).
Źródło:: Journal of Ecological Engineering; 2022, 23, 4; 325--335
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Assessing and Monitoring Sustainable Land Management for Land Degradation Neutrality in Wadi El Farigh
Autorzy:: Erian, Wadid F.
Nasr, Yehia A.
Yacoub, Rafat K.
El-Abd, Raghda A.
Powiązania:: https://bibliotekanauki.pl/articles/24201800.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: remote sensing
geostatistical analysis
GIS
land degradation change
Opis:: This study aimed to understand the new management challenges related to the impact of climate change on biodiversity, deterioration of agricultural productivity, food security, and increasing rates of desertification. This constitutes an important indicator for studying Land Degradation Neutrality (SDGs Target 15.3), which is considered a significant target in achieving the Sustainable Development Goals 2030. The present study is concerned with assessing and monitoring land management and land degradation in Wadi El Farigh from 2000 to 2019. Soil quality is a major part of the chain that leads to understanding sustainable land management of natural resources (land, groundwater, and natural vegetation). A geopedological approach produced the studied area’s physiographic and soil map. The study of changes in land degradation level in Wadi El Farigh over 20 years with a period of every five years shows a very high improvement in the study area from the year 2000 up to 2014. From 2015 to 2019, this class was reduced due to the effects of land degradation reflected by the use of saline water for irrigating crops. Using remote sensing and geostatistical analyses within the GIS environment illustrated that the soils were classified as Entisols, representing 79.45 of the total studied area, and Aridisols representing 20.55% of the total studied area.
Źródło:: Journal of Ecological Engineering; 2023, 24, 3; 55--63
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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