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    Wyświetlanie 1-11 z 11
    Tytuł:
    Remote sensing techniques to assess chlorophyll lfuorescence in support of crop monitoring in Poland
    Autorzy:
    Gurdak, Radosław
    Bartold, Maciej
    Powiązania:
    https://bibliotekanauki.pl/articles/1955011.pdf
    Data publikacji:
    2021-12-10
    Wydawca:
    Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
    Tematy:
    spectral vegetation indices
    land surface temperature
    JECAM
    Sentinel satellites
    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.
    Źródło:
    Miscellanea Geographica. Regional Studies on Development; 2021, 25, 4; 226-237
    0867-6046
    2084-6118
    Pojawia się w:
    Miscellanea Geographica. Regional Studies on Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Regional Mapping of Land Surface Temperature (LST), Land Surface Emissivity (LSE) and Normalized Difference Vegetation Index (NDVI) of South-South Coastal Settlements of Rivers State in Nigeria
    Autorzy:
    Nwaerema, Peace
    Ajiere, Suzan
    Powiązania:
    https://bibliotekanauki.pl/articles/1031686.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Regional
    land surface emissivity
    land surface temperature
    normalized difference vegetation index
    population
    urbanization
    Opis:
    This study is the regional mapping of Land Surface temperature (LST), Land Surface Emissivity (LSE) and Normalized Difference Vegetation Index (NDVI) of south-south coastal settlements of Rivers State in Nigeria. The Google Earth Engine (GEE) of satellite remote sensing origin was used in the study. It was observed that land surface area of the south-south coastal settlements of the region hosting a total population of 3,344,706 persons had undergone severe modification and alteration of vegetal cover by increased human activities especially in the central area. Emissivity in the region increased from the center to the rural settlements with values ranging 0.98 to 0.99 and difference of 0.01 indicating that there was increased modification of the regional land surface. Land surface temperature decreased from the regional center to the rural settlements ranging between 22.12 ºC to 35.99 ºC with a difference of 13.87 ºC. However, LST was scattered in different settlement spots especially in the northern region such as Aleto, Finema (south); Rumuolu, Odogwa, Abara, Umuechem, Rumuola, Ambroda (north) among others. The normalized vegetation index showed -0.54358 to 0.409327 having the difference of 0.952907 indicating greater variation in vegetal cover across the region. Thus, NDVI in the region increased from the regional center to the outskirts of the area. Urbanization in the south-south region of Rivers State had extended severely to the rural settlements. Therefore, it is recommended that policy makers and regional planners should protect the area from adverse vegetal lost and heat effects by implementing regional greening practices.
    Źródło:
    World News of Natural Sciences; 2020, 28; 76-86
    2543-5426
    Pojawia się w:
    World News of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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
    Artykuł
    Tytuł:
    Comparison of direct and inverse methods of satellite observations downscaling for the coastal zone area
    Autorzy:
    Chybicki, A.
    Łubniewski, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/331736.pdf
    Data publikacji:
    2016
    Wydawca:
    Polskie Towarzystwo Akustyczne
    Tematy:
    Earth observation
    land surface temperature
    sea surface temperature
    PBIM downscaling method
    surface effective emissivity
    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.
    Źródło:
    Hydroacoustics; 2016, 19; 55-64
    1642-1817
    Pojawia się w:
    Hydroacoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Land Surface Temperature in Response to Land Use/Cover Change Based on Remote Sensing Data and GIS Techniques: Application to Saïss Plain, Morocco
    Autorzy:
    El Garouani, Manal
    Amyay, Mhamed
    Lahrach, Abderrahim
    Oulidi, Hassane Jarar
    Powiązania:
    https://bibliotekanauki.pl/articles/1955393.pdf
    Data publikacji:
    2021
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    land surface temperature
    land use
    land cover
    NDVI
    landsat image
    saïss plain
    Morocco
    Opis:
    In order to analyze the impact of land use and land cover change on land surface temperature (LST), remote sensing is the most appropriate tool. Land use/cover change has been confirmed to have a significant impact on climate through various aspects that modulate LST and precipitation. However, there are no studies which illustrate this link in the Fez-Meknes region using satellite observations. Thus, the aim of this study was to monitor LST as a function of the land use change in the Saïss plain. In the study, 12 Landsat images of the year 2019 (one image per month) were used to represent the variation of LST during the year, and 2 images per year in 1988, 1999 and 2009 to study the interannual variation in LST. The mapping results showed that the land use/cover in the region has undergone a significant evolution; an increase in the arboriculture and urbanized areas to detriment of arable lands and rangelands. On the basis of statistical analyses, LST varies during the phases of plant growth in all seasons and that it is diversified due to the positional influence of land use type. The relationship between LST and NDVI shows a negative correlation (LST decreases when NDVI increases). This explains the increase in LST in rangelands and arable land, while it decreases in irrigated crops and arboriculture.
    Źródło:
    Journal of Ecological Engineering; 2021, 22, 7; 100-112
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Monitoring of Land Surface Temperature from Landsat Imagery: A Case Study of Al-Anbar Governorate in Iraq
    Autorzy:
    Morsy, Salem
    Ahmed, Shaker
    Powiązania:
    https://bibliotekanauki.pl/articles/2203961.pdf
    Data publikacji:
    2023
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    land surface temperature
    Landsat
    single channel algorithm
    NDVI
    land use
    land cover
    classification
    regression
    Opis:
    Land surface temperature (LST) estimation is a crucial topic for many applications related to climate, land cover, and hydrology. In this research, LST estimation and monitoring of the main part of Al-Anbar Governorate in Iraq is presented using Landsat imagery from five years (2005, 2010, 2015, 2016 and 2020). Images of the years 2005 and 2010 were captured by Landsat 5 (TM) and the others were captured by Landsat 8 (OLI/TIRS). The Single Channel Algorithm was applied to retrieve the LST from Landsat 5 and Landsat 8 images. Moreover, the land use/land cover (LULC) maps were developed for the five years using the maximum likelihood classifier. The difference in the LST and normalized difference vegetation index (NDVI) values over this period was observed due to the changes in LULC. Finally, a regression analysis was conducted to model the relationship between the LST and NDVI. The results showed that the highest LST of the study area was recorded in 2016 (min = 21.1°C, max = 53.2°C and mean = 40.8°C). This was attributed to the fact that many people were displaced and had left their agricultural fields. Therefore, thousands of hectares of land which had previously been green land became desertified. This conclusion was supported by comparing the agricultural land areas registered throughout the presented years. The polynomial regression analysis of LST and NDVI revealed a better coefficient of determination (R2) than the linear regression analysis with an average R2 of 0.423.
    Źródło:
    Geomatics and Environmental Engineering; 2023, 17, 3; 61--81
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of Land Surface Temperature Before, During and After the Covid‑19 Lockdown Using Landsat Imagery: A Case Study of Casablanca City, Morocco
    Autorzy:
    Taoufik, Meryem
    Laghlimi, Meriem
    Fekri, Ahmed
    Powiązania:
    https://bibliotekanauki.pl/articles/1838020.pdf
    Data publikacji:
    2021
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    Land Surface Temperature
    Landsat 8
    COVID-19
    spatiotemporal analysis
    Remote Sensing
    Morocco
    Opis:
    Land Surface Temperature (LST) is an important variable within global cli mate change. With the appearance of remote sensing techniques and advanced GIS software, it is now possible to estimate LST. In this study, the effect of lock-down during COVID-19 on the LST was assessed using Landsat 8 Imagery. LST dynamic was investigated for three different periods: Before, during and after the COVID-19 lockdown. The study was conducted in Casablanca City. The results showed that during the emergence of COVID-19 with lock down policy applied, the LST decreases remarkably compared to the previous 4-years’ average LST. After the easing of restrictions, the LST increased to exceed the previous 4-year mean LST. Furthermore, throughout all studied periods, the LST recorded its higher values in industrial zones and areas with high urban density and urban transportation, which indicates the conspicuous impact of anthropogenic activities on the LST variation. These findings indicate an ability to assess the feasibility of planned lockdowns intended as a potential preventive mechanism to reduce LST peaks and the loss of air quality in metropolitan environments in the future.
    Źródło:
    Geomatics and Environmental Engineering; 2021, 15, 2; 105-120
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of remote sensing as an indicator of the urban heat island effect: the case of the municipality of Guelma (north-east of Algeria)
    Autorzy:
    Khallef, Boubaker
    Powiązania:
    https://bibliotekanauki.pl/articles/24201205.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
    Tematy:
    Landsat 8
    LST
    land surface temperature
    NDVI
    normalized difference vegetation index
    NDBI
    Guelma
    Algeria
    temperatura powierzchni ziemi
    znormalizowany różnicowy wskaźnik wegetacji
    Kalima
    Algieria
    Opis:
    The main objective of this study is to show which of the LST-NDVI and LST-NDBI relationships can determine the most accurate index that can be used as an indicator of the effects of urban heat islands in the municipality of Guelma, using Landsat data. 8 OLI/TIRS and the geographic information system. The application of the calculation formulas made it possible to extract the Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built up Index (NDBI) of the municipality of Guelma for the four seasons of 2019. This calculation led to the determination of the relationship between all three indicators. The results obtained show a strong correlation between the LST and the NDBI for the four seasons of the year. They suggest that the NDBI is an accurate indicator of the heat island effect in Guelma. This indicator can serve as a tool for future urban planning by those in charge of this department. However, there is currently and urgent need to strengthen strategies for reducing the effects of urban heat islands in order to preserve the quality of urban life of the inhabitants and by setting up emergency programs.
    Źródło:
    Geomatics, Landmanagement and Landscape; 2023, 3; 61--72
    2300-1496
    Pojawia się w:
    Geomatics, Landmanagement and Landscape
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatiotemporal evolution of land surface temperature of Lake Oubeira catchment, northeastern Algeria
    Przestrzenne i czasowe zmiany temperatury powierzchni ziemi w zlewni jeziora Oubeira w północnowschodniej Algierii
    Autorzy:
    Rezzag Bara, Chouaib
    Djidel, Mohamed
    Medjani, Fethi
    Labar, Sofiane
    Powiązania:
    https://bibliotekanauki.pl/articles/292503.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    emissivity
    lake basin
    land surface temperature (LST)
    normalized different vegetation index (NDVI)
    SEBAL
    water surface temperature (WST)
    emisyjność
    model SEBAL
    temperatura powierzchni wody (WST)
    temperatura powierzchni ziemi (LST)
    zlewnia jeziora
    znormalizowany różnicowy wskaźnik wegetacji (NDVI)
    Opis:
    The difficulties of access and detailed measurements of land surface temperature (LST) and water surface temperature (WST) especially in wetlands made the use of remote sensing data as one of the sources and techniques to estimate many climate elements including surface temperature and surface emissivity (ɛ). This study aims to estimate the surface temperature of the wetland of Lake Oubeira located in northeastern Algeria and their spatiotemporal evolution in both land and water. Landsat OLI-TIRS images in two dates (April and September 2016) obtained from the USGS have been used in this work, and forms the basis of a series of operations to obtain the final LST: development of the normalized difference vegetation index (NDVI), conversion of the digital number (DN) of the thermal infrared band (TIR) into spectral radiance as well as the calculation of the effective luminosity temperature of the sensor from the spectral radiation and surface emissivity (ɛ). The results show that the LST varies in space and time (from 16 to 31°C in April and from 24 to 41°C in September). This implies that the absorption of the equilibrium temperature at land cover depends on the optical properties of the surface, which are essentially determined by its water content, colour and morphology. At the same time, the water surface is the lowest land cover temperature, which also has a spatial variation (from 19 to 25°C in April and from 26 to 34.5°C in September) induced by atmospheric temperature, wind direction and speed and the depth of the lake.
    Trudności w dostępie do badanych obszarów i w wykonaniu szczegółowych pomiarów temperatury powierzchni ziemi (LST) i wody (WST), szczególnie w środowiskach podmokłych, sprawiają, że dane pozyskane metodą teledetekcji są źródłem informacji do szacowania elementów klimatu takich jak temperatura powierzchni i emisyjność (ɛ). Celem przedstawionych badań było określenie temperatury powierzchni siedlisk podmokłych jeziora Oubeira w północnowschodniej Algierii i jej zmian zarówno na ziemi, jak i w wodzie. W pracy wykorzystano obrazy Landsat OLI-TIRS z dwóch terminów (kwiecień i wrzesień 2016 r.) uzyskane z United States Geological Survey (USGS). Stanowiły one podstawę działań zmierzających do uzyskania końcowej temperatury LST – uzyskanie znormalizowanego różnicowego wskaźnika wegetacji (NDVI), konwersję numeru DN termicznego pasma podczerwieni (TIR) do spektralnej radiancji oraz obliczenie efektywnej temperatury barwowej sensora ze spektralnego promieniowania i emisyjności powierzchniowej (ɛ). Wyniki wskazują, że LST zmienia się w czasie i w przestrzeni (od 16 do 31°C w kwietniu i od 24 do 41°C we wrześniu). Oznacza to, że absorpcja temperatury przez pokrycie powierzchni ziemi zależy od optycznych właściwości powierzchni, które są określone przez zawartość wody, barwę i morfologię. Najniższą temperaturę wykazuje powierzchnia wody. Temperatura wody także ulega zmianom (od 19 do 25°C w kwietniu i od 26 do 34.5°C we wrześniu), wywołanym przez temperaturę powietrza, kierunek i prędkość wiatru oraz głębokość jeziora.
    Źródło:
    Journal of Water and Land Development; 2019, 43; 151-157
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluating the impact of expansion on urban thermal surroundings: A case study of Lahore Metropolitan city, Pakistan
    Autorzy:
    Khan, U.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2049676.pdf
    Data publikacji:
    2020
    Wydawca:
    Fundacja na Rzecz Młodych Naukowców
    Tematy:
    land cover
    land use
    urban sprawl
    thermal environment
    landscape change
    surface temperature
    spectral radiance measurement
    Pakistan
    Landscape Changes
    LULC
    LST
    Opis:
    Urbanization directly affects the existing infrastructure, landscape modification, environmental contamination and traffic pollution especially if there is lack of urban planning. Recently, the rapid urban sprawl has resulted in less developed green areas and has devastating environmental consequences. This study was aimed to study the past urban expansion rates and Measure LST from satellite data. The Land use land cover (LULC) maps of years 1996, 2010, 2013, and 2017 were generated using Landsat satellite images. Four main classes i.e. water, urban, bare land and vegetation were identified using unsupervised classification with iterative self-organizing data analysis (isodata) technique. The LST from satellite thermal data can be derived from different procedures:atmospheric, radiometric calibrations and surface emissivity corrections, classification of spatial changeability in land-cover. Different methods and formulas were used in the algorithm that successfully retrieves the land surface temperature to help us study the thermal environment of the ground surface. To verify the algorithm, the land surface temperature and the near-air temperature were compared. The results showed that, From 1996-2017 urban areas increased to about considerable increase of about 48%.few areas of city also shown in reduction in LST from year 1996-2017that actually began their transitional phase from rural to urban LULC.Mean temperature of city increased averagely about 1ºC each year in the month of October. The green and vegetative areas witnessed a decrease in area while higher number of pixels increased in urban class.
    Źródło:
    Environment, Earth and Ecology; 2020, 4, 1; 38-49
    2543-9774
    2451-4225
    Pojawia się w:
    Environment, Earth and Ecology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Land surface temperature in Łódź obtained from Landsat 5TM
    Autorzy:
    Jędruszkiewicz, J.
    Zieliński, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/100751.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Śląski. Wydział Nauk o Ziemi
    Tematy:
    temperatura
    powierzchnia Ziemi
    LANDSAT 5TM
    obrazowanie satelitarne
    emisyjność
    NDVI
    land surface
    temperature
    Landsat 5TM
    remote sensing
    emissivity
    Opis:
    The main aim of this paper is to present the spatial differentiation of Land Surface Temperature LST in Łódź based on Landsat 5 Thematic Mapper (L5TM) images. Analysis was performed for all L5TM images from 2011, with clear sky over Łódź. Land surface temperature (LST) play an important role in determination of weather conditions in boundary layer of atmosphere, especially connected with convection. Environmental satellites from Landsat series delivers the high resolution images of Earth’s surface and according to the estimations made on the ground of it are precise. LST depends widely on surface emissivity. In this paper the emissivity was estimated from MODIS sensor as well as NDVI index, then both method were compared. The processed images allowed to determine the warmest and the coldest areas in the administrative boundaries of Łódź. The highest LST values has been found in industrial areas and the in the heart of the city. However, there are some places lying in city outskirts, where the LST values are as high, for instance Lodz Airport. On the contrary the lowest LST values occur mostly in terrains covered with vegetation i.e. forests or city parks.
    Głównym celem tego opracowania było oszacowanie temperatury powierzchni Ziemi w Łodzi, na podstawie obrazów satelitarnych pochodzących z satelity Landsat 5 Thematic Mapper (L5TM). Analizę wykonane dla obrazów wszystkich dostępnych obrazów z 2011 roku, na których zachmurzenie nie wystąpiło nad obszarem Łodzi. Temperatura powierzchni Ziemi odgrywa istotną rolę w kształtowaniu warunków pogodowych w warstwie granicznej, szczególnie związanych z konwekcją. Satelity środowiskowe z serii Landsat dostarczają obrazów w dużej rozdzielczości, dzięki czemu pozwalają na stosunkowo dokładne oszacowanie tego parametru. Wielkość temperatury w dużym stopniu zależy od emisyjności danej powierzchni. W niniejszym opracowaniu porównano temperaturę powierzchniową obliczoną dla emisyjności wyznaczonej z danych spektrometru MODIS, umieszczonego na satelicie Terra, jak ró nież dla emisyjności oszacowanej przy wykorzystaniu wskaźnika NDVI obliczonego z danych L5TM. Opracowane obrazy satelitarne pozwoliły na wyznaczenie obszarów w Łodzi, cechujących się najwyższymi i najniższymi wartościami temperatury powierzchniowej. Najwyższe wartości LST na obszarze Łodzi występują w obszarach przemysłowych, jak również w najbardziej centralnej części miasta. Niekiedy jednakże obszary o podwyższonych wartościach LST spotykane są na przedmieściach, czego przykładem może łódzki port lotniczy. Z drugiej strony najniższe wartości LST występują w obszarach, na których występuje roślinność, przy czym dotyczy to głównie obszarów leśnych oraz parków śródmiejskich.
    Źródło:
    Contemporary Trends in Geoscience; 2012, 1, 1; 21-29
    2299-8179
    Pojawia się w:
    Contemporary Trends in Geoscience
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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