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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
Tytuł:
Integration of Aeromagnetic Data and Landsat Imagery for Structural Analysis: A Case Study of Awgu in Enugu State, South-Eastern, Nigeria
Autorzy:
Ijeh, B. I.
Ohaegbuchu, H. E.
Okpetue, P. C.
Powiązania:
https://bibliotekanauki.pl/articles/1112446.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Aeromagnetic data
Awgu
Landsat
remote sensing
structural analysis
Opis:
In this study, digital format data comprising of aeromagnetic and remotely sensed (Landsat ETM+7) data were used for structural interpretation of the Awgu area (predominantly underlain by sedimentary rocks) in Enugu State, southeastern part of Nigeria. Aeromagnetic data were analyzed using the Oasis Montaj 7.5 software and interpretation was carried out by applying the vertical and horizontal gradients, analytical signal, reduction to pole, tilt depth, as well as Euler deconvolution. The total magnetic intensity map shows a magnetic signature ranging from -39nT to 129nT. The 3D Euler solution of the study area has a structural index of 1.0 with dyke/fault as the shape of the inferred geological structure. In the Landsat ETM+7 satellite data used, band 5 was found as the most suitable in (automatic) delineation. The automatic lineament extraction process was carried out utilizing the line module of PCI Geomatica (2015 version). The essence of analysis and interpretation of the Landsat ETM+7 was to determine the lineament trends and density across the area. Rockworks 16 version software was used to generate the rose diagrams. As a result of the work, the aeromagnetic and Landsat lineament maps of the study area were summarized using rose diagrams. This revealed NE-SW as the major trend with some secondary trends NW-SE, E-W and N-S directions. However, the NE-SW trend reflects the younger tectonic events, because the younger events are more pronounced and tend to obliterate the older events. In a comparison of the aeromagnetic and Landsat lineament extraction of the study area in terms of number of lineaments, directions and total length of lineaments, the Landsat imagery were found to be better than the number, directions and total length of the aeromagnetic data.
Źródło:
World News of Natural Sciences; 2018, 18, 2; 79-105
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rock type discrimination using Landsat-8 OLI satellite data in mafic-ultramafic terrain
Autorzy:
Tamilarasan, Kuppusamy
Anbazhagan, Siddan
Ranjithkumar, Sundararajan
Powiązania:
https://bibliotekanauki.pl/articles/27310138.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
remote sensing
Landsat-8
lithology
ultramafic
spectra
SVM classification
Opis:
The mafic-ultramafic terrain of the Bhavani complex in southern India is considered for lithological mapping. The Landsat-8 OLI satellite data was used for the interpretation of different rock types in the study area. The satellite data were digitally processed using ENVI 5.6 image processing software. In the OLI data, excluding bands 8 and 9, the remaining seven bands were used for the generation of colour composite images, band ratios, principal component analysis and SVM classification. Reflectance spectral measurements were carried out in laboratory conditions for five rock samples collected from the study area. The XRF analysis was carried out to estimate the composition of major oxides present in the rock samples. The results obtained from XRF analysis were compared with the rock spectra in characterizing the spectral features of the rock types. The colour composite images (B543, B567, B456, and B457), PCA composite image (PC312 and PC456), band ratios (BR5/5 and BR4/3), colour composite images from band ratios, and SVM classified output are useful in delineation various rock types in the terrain.
Źródło:
Geology, Geophysics and Environment; 2023, 49, 3; 281--298
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Geostatistical Methods as a Tool Supporting Revitalization of Industrially Degraded and Post-Mining Areas
Autorzy:
Zawadzki, Jarosław
Fabijańczyk, Piotr
Przeździecki, Karol
Powiązania:
https://bibliotekanauki.pl/articles/2064365.pdf
Data publikacji:
2020
Wydawca:
STE GROUP
Tematy:
geostatistics
landsat
post-mining areas
post-industrial areas
remote sensing
revitalization
soil pollution
geostatystyka
Landsat
tereny pogórnicze
tereny poprzemysłowe
teledetekcja
rewitalizacja
zanieczyszczenie gleby
Opis:
Post-industrial and post-mining areas have often been under strong anthropogenic pressure for a long time. As a result, such areas, after the ending of industrial activity require taking steps to revitalize them. It may cover many elements of the natural or urban environment, such as water, soil, vegetated areas, urban development etc. To carry out revitalization, it is necessary to determine the initial state of such areas, often using selected chemical, geophysical or ecological. After that it is also important to properly monitor the state of such areas to assess the progress of the revitalization process. For this purpose a variety of change detection technics were developed. Post-industrial areas are very often characterized by a large extent, are difficult to access, have complicated land cover. For this reason, it is particularly important to choose appropriate methods to assess the degree of pollution of such areas. Such methods should be as economical as possible and time-effective. A very desirable feature of such methods is that they should allow a quick assessment of the entire area. Geostatistics supplemented by modern remote sensing can be effective for this purpose. Nowadays, using remote sensing, it is possible to gather information simultaneously from the entire, even vast area, with high spatial, spectral and temporal resolution. Geostatistics in turn provides many tools that are able to enable rapid analysis and inference based on even very complicated often scarce spatial data sets obtained from ground measurement and satellite observations. The goal of the article was to present selected results obtained using geostatistical methods also related to remote sensing, which may be helpful for decision makers in revitalizing post-industrial and post-mining areas. The results described in this paper were based mostly on the previous studies, carried out by authors.
Źródło:
New Trends in Production Engineering; 2020, 3, 1; 30--40
2545-2843
Pojawia się w:
New Trends in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of Spatial‑Temporal Changes of Agricultural Land Use During the Last Three Decades in the Araban District of Turkey Using Remote Sensing
Autorzy:
Tunc, Erdihan
Tsegai, Awet Tekeste
Çelik, Sevil
Powiązania:
https://bibliotekanauki.pl/articles/1838010.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
agricultural land use
spatial temporal change
Araban
remote sensing
Landsat
Opis:
Agricultural land use and land cover dynamics were investigated in the Araban district of Turkey during the periods 1984–2019 by the use of Remote Sensing and Geographic Information Systems (GIS). Landsat TM and Landsat TIRS / OLI satellite imageries were used to determine land use and land cover changes. Using unsupervised classification method of ERDAS 8.3 software, three main agricultural activities were identified namely irrigated farming, dry farming, and horticultural / garden farming. The analysis has revealed that during the last three decades dry farming has decreased significantly by 14.69% (3802.14 ha) whereas horticultural/garden crops and irrigated farming lands have increased by 11.32% (667.19 ha) and 2.51% (2929.41 ha) respectively. Araban has been under intensive agricultural use due to its fertile soil and preference for horticultural crops such as pistachio, grapes and olives that provide more profit over dry farming crops such as wheat and barley has changed land use. Decrease in dry farming in a semi arid climate where Araban is located, has a potential ecological consequence, including a rapid drop of groundwater level, drying of wetlands and the disappearance of the biodiversity, thus, a necessary measures should be taken to implement an environmentally friendly, sustainable agriculture and settlement plan.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 1; 111-123
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
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:
Green Space Assessment and Management in Biscay Province, Spain using Remote Sensing Technology
Autorzy:
Makinde, Esther O.
Andonegui, Cristina M.
Vicario, Ainhoa A.
Powiązania:
https://bibliotekanauki.pl/articles/1838002.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
biomass computation
carbon stock
land use land cover
Landsat
remote sensing
Opis:
Our ecosystem, particularly forest lands, contains huge amounts of carbon storage in the world today. This study estimated the above ground biomass and carbon stock in the green space of Bilbao Spain using remote sensing technology. Landsat ETM+ and OLI satellite images for year 1999, 2009 and 2019 were used to assess its land use land cover (LULC), change detection, spectral indices and model biomass based on linear regression. The result of the LULC showed that there was an increase in forest vegetation by 12.5% from 1999 to 2009 and a further increase by 2.3% in 2019. However, plantation cover had decreased by 3.5% from 1999–2009; while wetlands had also decreased by 9% within the same period. There was, however, an increase in plantation cover from 2009 to 2019 by 2.1% but a further decrease in wetlands of 4.3%. Further results revealed a positive correlation across the three decades between the widely used Normalized Differential Vegetation Index (NDVI) with other spectral indices such as Enhance Vegetation Index (EVI) and Normalized Differential Moisture Index (NDMI) for biomass were: for 1999 EVI (R2 = 0.1826), NDMI (R2 = 0.0117), for 2009 EVI (R2 = 0.2192), NDMI (R2 = 0.3322), for 2019 EVI (R2 = 0.1258), NDMI (R2 = 0.8148). A reduction in the total carbon stock from 14,221.94 megatons in 1999 to 10,342.44 megatons 2019 was observed. This study concluded that there has been a reduction in the amount of carbon which the Biscay Forest can sequester.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 4; 21-43
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Investigation of The Forests of Pernik Province (Western Bulgaria) by The Use of The Perpendicular Vegetation Index (PVI)
Autorzy:
Grigorov, Borislav
Powiązania:
https://bibliotekanauki.pl/articles/27314834.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
remote sensing
biomass
vegetation index
Landsat
teledetekcja
biomasa
wskaźnik roślinności
Bułgaria zachodnia
Opis:
The current research represents a pilot study for application of the Perpendicular Vegetation Index (PVI) for an area with forests in Bulgaria. It is the first of its kind when it comes to forest studying in the country to the best knowledge of the author. When it comes to soil background Landsat images and other spectral data may be used for monitoring forest territories as well. The study area is Pernik Province which is located in the western parts of Bulgaria. The main aim is to investigate the PVI for the forests of Pernik Province. The index has been calculated by the application of Landsat 8 bands. The PVI has been processed for several months of different years. The main focus is both on the beginning and the end of the growing season when there are significant changes in leaf biomass. The results are promising and show typical vegetation features in the beginning of the growing season (April), a well-developed vegetation (July) and a steadily decreasing biomass in November.
Źródło:
Civil and Environmental Engineering Reports; 2022, 32, 4; 96--104
2080-5187
2450-8594
Pojawia się w:
Civil and Environmental Engineering Reports
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatiotemporal mapping of inundation area at Lake Limboto in Gorontalo, Indonesia, using cloud computing technology
Autorzy:
Lahay, Rakhmat Jaya
Koem, Syahrizal
Powiązania:
https://bibliotekanauki.pl/articles/2073728.pdf
Data publikacji:
2022
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
Google Earth Engine
Lake Limboto
lake shrinkage
Landsat
remote sensing
water index
Opis:
Monitoring activities on the dynamics of water shrinkage at Lake Limboto are essential to the lake’s ecosystem’s recovery. A remote sensing technology functions to monitor the dynamics of lake inundation area; this allows one to produce a comprehensive set of spatial and temporal data. Such complex satellite dataset demands extra time, greater storage resources, and greater computing capacity. The Google Earth Engine platform emerges as the alternative to tackle such problems. The present study aims to explore the capability of Google Earth Engine in formulating spatial and temporal maps of the inundation area at Lake Limboto. A total of 345 scenes of Landsat image on the study area (available during the period of 1989–2019) were involved in generating a quick inundation area map of the lake. The whole processes (pre-processing, processing, analysing, and evaluating) were automatized by using the Google Earth Engine interface. The evaluation of mapping result accuracy indicated that the average score of F1-score and Intersection over Union (IoU) was at 0.88 and 0.91, respectively. Moreover, the mapping results of the lake’s inundation area from 1989 to 2019 showed that the inundation area tended to decrease significantly in size over time. During the period, the lake’s area also shrank from 3023.8 ha in 1989 to 1275.0 ha in 2019. All in all, the spatiotemporal information about the changes in lake area may be treated as a reference for decision-making processes of lake management in the future.
Źródło:
Journal of Water and Land Development; 2022, 52; 27--33
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extraction of urban construction development with using Landsat satellite images and geoinformation systems
Autorzy:
Arifjanov, Aybek M.
Akmalov, Shamshodbek B.
Samiev, Luqmon N.
Powiązania:
https://bibliotekanauki.pl/articles/1844383.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
ArcGIS
geographic information system
GIS
Landsat satellite image
remote sensing
RS
urban
Opis:
In recent times there have been many changes on Earth, which have appeared after anthropogenic impact. Finding solutions to problems in the environment requires studying the problems quickly, make proper conclusions and creating safe and useful measures. Humanity has always had an effect on the environment. There can be many changes on the Earth because of direct and indirect effects of humans on nature. Determining these changes at the right time and organizing meas-urements of them requires the creation of quick analysing methods. This development has improved specialists’ interest for remote sensing (RS) imagery. Moreover, in accordance with analysis of literature sources, agriculture, irrigation and ecology have the most demand for RS imagery. This article is about using geographic information system (GIS) and RS technologies in cadastre and urban construction branches. This article covers a newly created automated method for the calculation of artificial surface area based on satellite images. Accuracy of the analysis is verified according to the field experiments. Accuracy of analysis is 95%. According to the analysis from 1972 to 2019 artificial area enlargement is 13.44%. This method is very simple and easy to use. Using this data, the analysis method can decrease economical costs for field measures. Using this method and these tools in branches also allows for greater efficiency in time and resources.
Źródło:
Journal of Water and Land Development; 2021, 48; 65-69
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of satellite data in the quantitative assessment of evapotranspiration in northeastern Poland
Autorzy:
Zaszewski, Daniel
Gruszczyński, Tomasz
Małecki, Jerzy Jan
Powiązania:
https://bibliotekanauki.pl/articles/2060250.pdf
Data publikacji:
2020
Wydawca:
Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:
evapotranspiration
remote sensing
Landsat
SSEBop
MOD16A2
Kurpie Sandur
Polska
Opis:
We describe a method of calculating one of the basic phenomena influenced by groundwater recharge, namely evapotranspiration (ET). The Operational Simplified Surface Energy Balance (SSEBop) algorithm was applied to calculate actual evapotranspiration (ETa), being modified to include spatiotemporal changes of substrate humidity and so referred to as mSSSEBop. Calculations were performed within the Szkwa and Rozoga River catchments (NE Poland). Quantitative ETa assessment was based on the analysis of Landsat satellite images, hydrometeorological and hydrogeological data. The results obtained for the original SSEBop algorithm and the modified mSSEBop one were compared with the water balance and data from a MOD16A2 dataset. The calculated water balance gave ETa values close to results using mSSEBop (with differences of 9-54 mm/year). In the case of the original algorithm, differences were in range of 42-218 mm/year. When compared with MOD16A2 data, the differences were within the range of -16.7 to 23.2 mm/8 days, with the mSSEBop algorithm giving on average lower ETa sums (~14%) than MOD16A2 while SSEBop gave results higher than MOD16A2 by ~12%. The studies performed indicate that the method presented, using satellite data, gives a reliable, spatial and temporal ETa assessment for the mid latitudes.
Źródło:
Geological Quarterly; 2020, 64, 3; 766--780
1641-7291
Pojawia się w:
Geological Quarterly
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of multitemporal changes in the environment using GIS and remote sensing in the aspect of construcion projects
Autorzy:
Głowienka, E.
Hejmanowska, B.
Michałowska, K.
Pękala, A.
Powiązania:
https://bibliotekanauki.pl/articles/100692.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:
environmental protection
Landsat
remote sensing
construction project
ochrona środowiska
teledetekcja
projekt konstrukcyjny
Opis:
Modern changes of environment are the result of many factors, of which anthropogenic activities and the development of infrastructure play the leading role in environmental, morphometric changes. The dynamics of expansion of construction lands, which until recently have changed only as a result of natural factors, makes it invariably important to analyse time changes and forecast potential effects of construction projects on the environment. A good source of information about changes, for example the course of rivers, hydrological conditions, diversity of vegetation in the areas of investment, are cartographic sources, in particular GIS techniques, satellite images, and aerial photographs. Proper assessing of the territory using GIS techniques may allow constructing roads not only with less damage to the environment and human health, but also avoiding technical problems, such as low bearing capacity of soils. The main objective of the study is to evaluate multitemporal changes of the environment in the course of the ongoing construction project, which is the construction of the A4 motorway in its Rzeszów Wschód – Jarosław Zachód section, in the area of the Wierzbna junction. The analysis was carried out on the basis of Landsat satellite images recorded in two different investment periods of the tested object: in 2006 – prior to the start of construction works, in 2015 – in the course of the ongoing construction works. In addition, the analysis of the obtained Landsat multitemporal satellite images made it possible to examine the morphology of the substrate conditions of river valleys of the San, Wislok, and Mleczka.
Źródło:
Geomatics, Landmanagement and Landscape; 2017, 2; 61-69
2300-1496
Pojawia się w:
Geomatics, Landmanagement and Landscape
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of satellite remote sensing methods in mineral prospecting in Kosovo, area of Selac
Wykorzystanie metod teledetekcji satelitarnej w poszukiwaniu złóż surowców mineralnych w rejonie Selac, Kosowo
Autorzy:
Lupa, Michał
Adamek, Katarzyna
Leśniak, Andrzej
Pršek, Jaroslav
Powiązania:
https://bibliotekanauki.pl/articles/216678.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN
Tematy:
remote sensing
GIS
geology
mineral mapping
Landsat 8
teledetekcja
geologia
poszukiwania geologiczne
surowce mineralne
Opis:
Traditional methods of mineral exploration are mainly based on very expensive drilling and seismic methods. The proposed approach assumes the preliminary recognition of prospecting areas using satellite remote sensing methods. Maps of mineral groups created using Landsat 8 images can narrow the search area, thereby reducing the costs of geological exploration during mineral prospecting. This study focuses on the identification of mineralized zones located in the southeastern part of Europe (Kosovo, area of Selac) where hydrothermal mineralization and alterations can be found. The article describes all the stages of research, from collecting in-situ rock samples, obtaining spectral characteristics with laboratory measurements, preprocessing and analysis of satellite images, to the validation of results through field reconnaissance in detail. The authors introduce a curve-index fitting technique to determine the degree of similarity of a rock sample to a given pixel of satellite imagery. A comparison of the reflectance of rock samples against surface reflectance obtained from satellite images allows the places where the related type of rock can be found to be determined. Finally, the results were compared with geological and mineral maps to confirm the effectiveness of the method. It was shown that the free multispectral data obtained by the Landsat 8 satellite, even with a resolution of 30 meters, can be considered as a valuable source of information that helps narrow down the exploration areas.
Tradycyjne metody poszukiwania surowców mineralnych opierają się głównie na bardzo kosztownych metodach, takich jak wiercenia oraz metody sejsmiczne. Proponowane przez autorów podejście zakłada wstępne rozpoznanie obszarów perspektywicznych z wykorzystaniem metod teledetekcji satelitarnej. Mapy grup minerałów stworzone przy użyciu zobrazowań dostarczonych przez satelitę Landsat 8 mogą zawęzić obszar poszukiwań, a przez to doprowadzić do redukcji kosztów rozpoznania geologicznego podczas poszukiwania surowców mineralnych. Niniejsze badanie skupia się na identyfikacji stref zmineralizowanych znajdujących się w południowo-wschodniej Europie (Kosowo, rejon Selac) gdzie znajdują się mineralizacje hydrotermalne oraz strefy alteracji. Artykuł opisuje szczegółowo wszystkie etapy badań, od pozyskania próbek terenowych, badań laboratoryjnych mających na celu pozyskanie charakterystyk spektralnych, przez wstępne przetwarzanie oraz analizę zobrazowań satelitarnych do walidacji wyników poprzez rozpoznanie terenowe. Autorzy przedstawili technikę wykorzystującą wskaźnik dopasowania krzywej pozwalający na określenie stopnia podobieństwa próbki do piksela zobrazowania satelitarnego. Porównanie współczynnika odbicia dla próbek względem współczynnika odbicia zarejestrowanego przez satelitę pozwala na określenie miejsc, gdzie mogą występować określone typy skał. W celu określenia skuteczności metody wyniki zostały porównane z mapami geologicznymi. Wykazano, że darmowe dane multispektralne dostarczone przez satelitę Landsat 8, nawet z rozdzielczością 30 m, mogą stanowić cenne źródło informacji, które pozwala na zawężenie obszaru poszukiwań.
Źródło:
Gospodarka Surowcami Mineralnymi; 2020, 36, 1; 5-22
0860-0953
Pojawia się w:
Gospodarka Surowcami Mineralnymi
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methodology for determining deforestation areas in Lviv region using remote sensing data
Autorzy:
Chetverikov, Borys
Trevoho, Ihor
Babiy, Lubov
Malanchuk, Mariia
Powiązania:
https://bibliotekanauki.pl/articles/43852817.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
teledetekcja
monitoring satelitarny
obraz satelitarny
Landsat 8
remote sensing
space image
satellite monitoring system
Opis:
The object of the study is the processing of space images on the territory of the Carpathian territory in the Lviv region, obtained from the Landsat-8 satellite. The work aims to determine the area of deforestation in the Carpathian territory of the Lviv region from different time-space images obtained from the Landsat-8 satellite. Methods of cartography, photogrammetry, aerospace remote sensing of the Earth and GIS technology were used in the experimental research. The work was performed in Erdas Imagine software using the unsupervised image classification module and the DeltaCue difference detection module. The results of the work are classified as three images of Landsat-8 on the territory of the Carpathian territory in the Lviv region. The areas of forest cover for each of them for the period of 2016-2018 have been determined. During the three years, the area of forests has decreased by 14 hectares. Our proposed workflow includes six stages: analysis of input data, band composition of space images on the research territory, implementation of unsupervised classification in Erdas Imagine software and selection of forest class and determination of implementing this workflow, the vector layers of the forest cover of the Carpathians in the Lviv region for 2016, 2017, 2018 were obtained, and on their basis, the corresponding areas were calculated and compared.
Źródło:
Advances in Geodesy and Geoinformation; 2022, 71, 1; art. no. e21, 2022
2720-7242
Pojawia się w:
Advances in Geodesy and Geoinformation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ocena kondycji drzewostanów Tatrzańskiego Parku Narodowego za pomocą metody drzewa decyzyjnego oraz wielospektralnych obrazów satelitarnych Landsat 5 TM
Assessment of the condition of forests in the Tatra National Park using decision tree method and multispectral Landsat TM satellite images
Autorzy:
Ochtyra, A.
Zagajewski, B.
Kozłowska, A.
Marcinkowska-Ochtyra, A.
Jarocińska, A.
Powiązania:
https://bibliotekanauki.pl/articles/972978.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
drzewostany
kondycja drzew
metody oceny
drzewa decyzyjne
teledetekcja satelitarna
obrazy satelitarne
satelita Landsat TM
leśnictwo
lasy górskie
Tatrzański Park Narodowy
forest
assessment of condition
vegetation indices
remote sensing
the Tatras
Landsat TM
Opis:
The paper presents a method of Landsat 5 Thematic Mapper satellite image processing to assess the condition of forests in the Tatra National Park (southern Poland). Selected images were acquired on 1987/09/01, 2005/09/02 and 2011/09/03 from the same sensor with maximum time interval for the first and last scene and from similar phenological period. Firstly, the data were radiometrically corrected using the ATCOR 2/3 software and Digital Terrain Model from the ASTER mission. Quality of the correction was assessed calculating RMSE for reflectance values from images and resampled spectral characteristics collected in terrain. RMSE was in range 3−10%. Next, basing on Landsat images, Normalized Difference Infrared Index (NDII) and a Maximum Likelihood supervised classificatory, following dominant land cover types were identified: forests (including dwarf pine), grasslands, rocks, lakes, shadows (additionally clouds were dis−tinguished on data from 1987/09/01). It allowed to select forest areas with producer accuracy not worse than 97.69% and user accuracy not worse than 98.31%. On corrected Landsat images Normalized Difference Vegetation Index (NDVI, an overall vegetation state) and Moisture Stress Index (MSI, canopy water content) were calculated. Vegetation indices discriminated forest state using the decision tree method. The worst overall condition was observed for the 1987 (about 21% of forest stands were in the worst condition and 87% were in medium condition), while the best one in 2005 (75.51% forest stands were in good condition and 10.66% were in the best condition). In case of 2011, the overall condition was quite good, but there were large areas with poor condition caused by bark beetle outbreaks. Proposed method allows for a fast and objective assessment of forest condition. It is possible to detect damaged areas or stands in poor condition. It can be complement for traditional methods of monitoring and management in forestry and nature protection.
Źródło:
Sylwan; 2016, 160, 03; 256-264
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 20

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