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Wyszukujesz frazę "Change detection" wg kryterium: Temat


Tytuł:
The comparison of usage of satellite SAR and optical data in the process of urban growth monitoring
Autorzy:
Opido, P.
Leśniak, A.
Powiązania:
https://bibliotekanauki.pl/articles/184401.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
change detection
biomass
map
Opis:
The aim of this project was to monitor the temporal growth of the urban areas, on the example of the Krakow city (Poland). In recent years more frequent use of satellite data in environmental monitoring can be observed. Definitely the optical data are the most popular type of it. This kind of data are commonly used in many applications like land cover change detection, biomass study and in the map preparation process. Despite their many advantages they are very sensitive on the weather conditions. Thus they cannot be gathered in cloudy or rainy day. This case doesn’t occur when the satellite SAR (Synthetic Aperture Radar) system are used. The ability of SAR and optical systems in monitoring the temporal growth of the urban areas were presented in the past (Al Rawashdeh & Saleh 2006, Opido & Leśniak 2015). In these projects SAR and optical satellite systems were compared. The study presented here was performed on fifty archival SAR and optical images acquired between years 1992 and 2010. The images were grouped into five two-year time intervals. Each interval contains data stack of eight SAR and 2 Landsat images. For each group the analysis of land cover was performed. Each optical image was classified into three following classes: water, urban and green areas. The study of the SAR data was based on the analysis of coherent scatterers (Porzycka-Strzelczyk & Strzelczyk 2015). The most commonly used methods of coherent scatterer’s identification were tested: dispersion of amplitude, Log-Cumulant (Nicolas et al. 2004), Signal-to-cluter ratio (Ulander et al. 2010) and coherency method (Touzi 1999). The growth of the urban area was calculated by studying changes in the numbers of coherent scatterers on the SAR images. For the Landsat images changes in the area of the urban class were analyzed. Furthermore, regions of most and least intensive urban growth were detected. The next step of the project is to compare the presented results with those provided by new ESA (European Space Agency) satellites. Sentinel-1 provides SAR images with a much better spatial resolution than ERS-1, ERS-2 and Envisat satellites. Sentinel-2 has better spatial resolution and more spectral bands than Landsat-8 (Masek 2015). This will allow to achieve more precise maps of coherent scatterers.
Źródło:
Geology, Geophysics and Environment; 2016, 42, 1; 107-108
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie transformacji IR-MAD w detekcji zmian na zdjęciach satelitarnych
Application of IR-MAD transformation to change detection on satellite images
Autorzy:
Aleksandrowicz, S.
Lewiński, S.
Kotarba, A.
Powiązania:
https://bibliotekanauki.pl/articles/129666.pdf
Data publikacji:
2012
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
detekcja zmian
MAD
IR-MAD
change detection
Opis:
W drugiej połowie lat dziewięćdziesiątych została opublikowana metoda analizy MAD (Multivariate Alteration Detection) służąca do wykrywania różnic występujących w wielowymiarowych zbiorach danych. Opracowano ją specjalnie dla celów detekcji zmian na podstawie zdjęć wielospektralnych i hiperspektralnych zarejestrowanych w różnym czasie. W ramach programu SATChMo/Geoland2 w Centrum Badań Kosmicznych rozpoznano możliwości zastosowania transformacji IR-MAD do detekcji zmian podstawowych form pokrycia terenu na zdjęciach satelitarnych wysokiej rozdzielczości. Prezentowana praca została wykonana na podstawie pary zdjęć KOMPSAT-2 obrazującej tereny północnej Hiszpanii w roku 2008 i 2010. Zaproponowany algorytm postępowania analizuje wyniki transformacji IR-MAD oraz dodatkowo informacje o pokrywie roślinnej i teksturze. Transformacja IR-MAD wykonywana jest na podstawie czterech kanałów spektralnych B, G, R i IR o rozdzielczości 4m, zdjęcia z pierwszego i drugiego terminu. Informacje uszczegóławiające możliwość zmian pokrywy roślinnej są pozyskiwane na podstawie wskaźników NDVI, natomiast źródłem informacji o teksturze są przetworzone za pomocą filtrów Sigma kanały panchromatyczne o rozdzielczości 1 m. Przyjęto założenia rozpoznawania zmian w pokryciu terenu, które nie są wynikiem naturalnych cykli fenologicznych. Najpierw identyfikowane są miejsca występowania zmian, następnie istnieje możliwość uzyskania informacji o ich charakterze.
In the second half of the 1990s, MAD (Multivariate Alteration Detection) method designed for detecting differences in multidimensional datasets was published. It was developed specifically for change detection performed on the basis of multispectral and hyperspectral images collected at different times. Within the framework of the European program SATChMo/Geoland2, the Space Research Centre of Polish Academy of Sciences has recognized the possibility of applying the IR-MAD transformation to detect changes of the main form of land cover on high resolution satellite images. Presented work was performed on the basis of a pair of KOMPSAT-2 images presenting area of Northern Spain in 2008 and 2010. The proposed algorithm analyses the results of the IR-MAD transformation and also additional information about vegetation cover and texture. Transformation of IR-MAD is performed on the basis of four spectral channels; B, G, R and IR with a resolution of 4 m, of the images from the first and second term. Additional information concerning a possibility of appearing changes in vegetation are derived on the basis of NDVI index and texture layer produced by Sigma filters of panchromatic channel of 1m resolution. An assumption was made for classified changes of land cover, which are independent of natural phenological cycles. First, places of changes are located and next information of their nature (direction of changes) is obtained.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2012, 23; 11-17
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tracing cluster transitions for different cluster types
Autorzy:
Ntoutsi, I.
Spiliopoulou, M.
Theodoridis, Y.
Powiązania:
https://bibliotekanauki.pl/articles/970818.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
dynamic environments
change detection
cluster-type-specific indicators
Opis:
Clustering algorithms detect groups of similar population members, like customers, news or genes. In many clustering applications the observed population evolves and changes over time, subject to internal and external factors. Detecting and understanding changes is important for decision support. In this work, we present the MONIC+ framework for cluster-type-specific transition modeling and detection. MONIC+ encompasses a typification of clusters and cluster-type-specific transition indicators, by exploiting cluster topology and cluster statistics for the transition detection process. Our experiments on both synthetic and real datasets demonstrate the usefulness and applicability of our framework.
Źródło:
Control and Cybernetics; 2009, 38, 1; 239-259
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Change Detection for SAR Imagery Using Connected Components Analysis
Autorzy:
Gromek, A.
Jenerowicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/227323.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
change detection
TSX
SAR image analysis
remote sensing
Opis:
Objective of the described analysis is to provide consistent change detection method based on image processing techniques applied to the Synthetic Aperture Radar (SAR) images acquired over the same geographical area, but at two different time instances. The approach adopted in our work requires incorporation of results with the additional information derived from analysis based on mathematical morphology (MM) techniques and visual interpretation of multitemporal VHR optical satellite images.
Źródło:
International Journal of Electronics and Telecommunications; 2012, 58, 2; 111-116
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Unmanned Aerial Vehicles for Three‑dimensional Mapping and Change Detection Analysis
Autorzy:
Gbopa, Adetola Olufunmilayo
Ayodele, Emmanuel Gbenga
Okolie, Chukwuma John
Ajayi, Akinwumi Olaitan
Iheaturu, Chima Jude
Powiązania:
https://bibliotekanauki.pl/articles/1838008.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
UAV technology
3D mapping
orthophoto
land cover
change detection analysis
Opis:
Unmanned Aerial Vehicles (UAVs), commonly known as drones are increasingly being used for three dimensional (3D) mapping of the environment. This study utilised UAV technology to produce a revised 3D map of the University of Lagos as well as land cover change detection analysis. A DJI Phantom 4 UAV was used to collect digital images at a flying height of 90 m, and 75% fore and 65% side overlaps. Ground control points (GCPs) for orthophoto rectification were coordinated with a Trimble R8 Global Navigation Satellite System. Pix4D Mapper was used to produce a digital terrain model and an orthophoto at a ground sampling distance of 4.36 cm. The change detection analysis, using the 2015 base map as reference, revealed a significant change in the land cover such as an increase of 16,306.7 m2 in buildings between 2015 and 2019. The root mean square error analysis performed using 7 GCPs showed a horizontal and vertical accuracy of 0.183 m and 0.157 m respectively. This suggests a high level of accuracy, which is adequate for 3D mapping and change detection analysis at a sustainable cost.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 1; 41-61
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Land use and land cover change detection using remote geospatial techniques: a case study of an urban city in southwestern, Nigeria
Autorzy:
Olayungbo, A.A.
Powiązania:
https://bibliotekanauki.pl/articles/2080937.pdf
Data publikacji:
2021
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
land use
land cover
change detection
landsat images
supervised classification
Nigeria
Opis:
Many cities in developing countries are experiencing ecosystem modification and change. Today, about 10 million hectares of the world’s forest cover have been converted to other land uses. In Nigeria, there is an estimated increase of 8.75 million ha of cropland and decrease of about 1.71 million ha of forest cover between 1995 to 2020, indicating that Nigeria has been undergoing a wide range of land use and land cover changes. This paper analyses the changes in land use/cover in Ila Orangun, Southwestern, Nigeria from 1986 to 2018, with a view to providing adequate information on the pattern and trend of land use and land cover changes for proper monitoring and effective planning. The study utilized satellite images from Landsat 1986, 2002 and 2018. Remote sensing and Geographical Information System techniques as well as supervised image classification method were used to assess the magnitude of changes in the city over the study period. The results show that 26.36% of forest cover and 44.48% of waterbody were lost between the period of 1986 and 2018. There was a rapid increase in crop land by 365.7% and gradual increase in built-up areas by 103.85% at an annual rate of 3.25%. Forest was the only land cover type that recorded a constant reduction in areal extent. The study concluded that the changes in land use and land cover is a result of anthropogenic activities in the study area.
Źródło:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego; 2021, 21[36], 2; 4-14
2081-6960
Pojawia się w:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Land Cover Change Detection in Oddusuddan DS Division of Mullaitivu District in Sri Lanka Based on GIS and RS Technology
Autorzy:
Pathmanandakumar, V.
Powiązania:
https://bibliotekanauki.pl/articles/1031751.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Change Matrix
Change detection
Geographical Information System & Remote Sensing
Land covers Mapping
Satellite Image Analysis
Opis:
Land cover change analysis between 1997 and 2016 was conducted in Oddusuddan Divisional Secretariat, Mullaitivu District, using remote sensing and geographic information system incorporated with field verifications. Various Satellite images and different digital maps have been used for extracting information. The overall objective of this study was to detect the magnitude of land cover change in Oddusuddan between 1997 and 2016. The methodology of this study was a change detection analysis of satellite imagery with Landsat ETM data. Two dates of Landsat image data of the 1997 and 2016 were used to produce a land cover map. The Maximum Likelihood algorithm was used for supervised classification to detect changes for twenty years. The result showed that during the last twenty years, the forest cover declined from 453.02 km2 in 1997 to 447.14 km2 in 2016. It was noticed that socio-economic factors were the major driving forces for the land cover change.
Źródło:
World News of Natural Sciences; 2020, 29, 3; 198-211
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Historical and projected land-use / land cover changes of the Welmel River Watershed, Genale Dawa Basin, Ethiopia
Autorzy:
Ayalew, Solomon E.
Nigussie, Tewodros A.
Powiązania:
https://bibliotekanauki.pl/articles/27312636.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
CA-Markov chain model
change detection
land use/land cover
LULC
Welmel Watershed
Opis:
Human activities on land have grown significantly changing the entire landscape, while most of the changes have occurred in the tropics. The change has become a serious environmental concern at the local, regional and global scales. The intensity, speed, and degree of land use / land cover (LULC) changes are nowadays quicker compared to the past because of the development of society. Moreover, the rapid increase in population resulted in disturbing a large number of landscapes on the Earth. The main objective of this study was to detect historical (1990-2020) and predicted (2020-2050) LULC changes in the Welmel River Watershed, which is located in the Genale-Dawa Basin, South Eastern Ethiopia. The dataset of 1990, 2005, and 2020 was generated from Landsat 5, Landsat 7 and Landsat 8 respectively to determine the historical LULC map. The result of this study revealed that agriculture/ settlement increased by 6.85 km2 ∙y-1, while forestland declined by 9.16 km2 ∙y-1 over the last 31 years between 1990 and 2020. In the coming 31 years (by 2050), if the existing trend of the LULC change continues, agriculture/settlement land is expected to increase from 290.64 km2 in 2020 to 492.51 km 2 in 2050 at the rate of 6.73 km2 ∙y-1, while forestland is expected to shrink from 690.48 km2 in 2020 to 427.01 km2 in 2050 by a rate of 8.78 km2 ∙y-1.
Źródło:
Journal of Water and Land Development; 2023, 58; 89--98
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Presenting a technique for registering images and range data using a topological representation of a path within an environment
Autorzy:
Ferreira, F.
Davim, L.
Rocha, R.
Dias, J.
Santos, V.
Powiązania:
https://bibliotekanauki.pl/articles/385035.pdf
Data publikacji:
2007
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
sensor feature integration
binary data
Bernoulli mixture model
dimensionality reduction
robot localisation
change detection
Opis:
This article presents a novel method to the utilize topological representation of a path, thatpath that is created from sequences of images from digital cameras and sensor data from range sensors. A topological representation of the environment is created by leading the robot around the environment during a familiarisation phaseLeading the robot around the environment during a familiarisation phase creates a topological representation of the environment. While moving down the same path, the robot is able to localise itself within the topological representation that is has been previously created. The principal contribution to the state of the art is that, by using a topological representation of the environment, individual 3D data sets acquired from a set of range sensors need not be registered in a single, [Global] Coordinate Reference System. Instead, 3D point clouds for small sections of the environment are indexed to a sequence of multi-sensor views, of images and range data. Such a registration procedure can be useful in the construction of 3D representations of large environments and in the detection of changes that might occur within these environments.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 3; 47-56
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multidimensional GIS for satellite imagery analysis
Autorzy:
Drypczewski, K.
Markiewicz, Ł.
Stepnowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/332659.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
Multidimensional GIS
Raster Data Manager
RASDAMAN
SENTINEL-1
SAR
Coastal Monitoring
coast change detection
Opis:
Multidimensional Geographical Information System allows storing, querying and processing of multidimensional query data. It is able to process satellite imagery and provide tools for its analysis. In the article authors present the developed system that analyzes a time series of SENTINEL - 1 mission satellite imagery acquired over the coast of Poland. The algorithm used finds and detects changes in the shape of the coastline over a long period of time. The system uses a Raster Data Manager array database management system to simplify the process of data querying, trimming, storing and analysing. Authors present how the recent trends in GIS development, like RASDAMAN, can be applied to satellite imagery processing.
Źródło:
Hydroacoustics; 2017, 20; 41-50
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance of Unsupervised Change Detection Method Based on PSO and K-means Clustering for SAR Images
Autorzy:
Shehab, Jinan N.
Abdulkadhim, Hussein A.
Powiązania:
https://bibliotekanauki.pl/articles/1844494.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
change detection
k-means clustering
multitemporal satellite image
PSO
Gabor wavelet filter
remote sensing
Opis:
This paper presents unsupervised change detection method to produce more accurate change map from imbalanced SAR images for the same land cover. This method is based on PSO algorithm for image segmentation to layers which classify by Gabor Wavelet filter and then K-means clustering to generate new change map. Tests are confirming the effectiveness and efficiency by comparison obtained results with the results of the other methods. Integration of PSO with Gabor filter and k-means will providing more and more accuracy to detect a least changing in objects and terrain of SAR image, as well as reduce the processing time.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 3; 403-408
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Change Point Determination in Audio Data Using Auditory Features
Autorzy:
Maka, T.
Powiązania:
https://bibliotekanauki.pl/articles/226762.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
audio change point detection
auditory features
gammatone filter bank
Opis:
The study is aimed to investigate the properties of auditory-based features for audio change point detection process. In the performed analysis, two popular techniques have been used: a metric-based approach and the ∆BIC scheme. The efficiency of the change point detection process depends on the type and size of the feature space. Therefore, we have compared two auditory-based feature sets (MFCC and GTEAD) in both change point detection schemes. We have proposed a new technique based on multiscale analysis to determine the content change in the audio data. The comparison of the two typical change point detection techniques with two different feature spaces has been performed on the set of acoustical scenes with single change point. As the results show, the accuracy of the detected positions depends on the feature type, feature space dimensionality, detection technique and the type of audio data. In case of the ∆BIC approach, the better accuracy has been obtained for MFCC feature space in the most cases. However, the change point detection with this feature results in a lower detection ratio in comparison to the GTEAD feature. Using the same criteria as for ∆BIC, the proposed multiscale metric-based technique has been executed. In such case, the use of the GTEAD feature space has led to better accuracy. We have shown that the proposed multiscale change point detection scheme is competitive to the ∆BIC scheme with the MFCC feature space.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 2; 185-190
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatyczna detekcja zmian urbanistycznych na zdjęciach lotniczych
Automatic urban change detection in aerial images
Autorzy:
Jelonek, J.
Wyczałek, I.
Powiązania:
https://bibliotekanauki.pl/articles/131137.pdf
Data publikacji:
2006
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
eksploracja zdjęcia lotniczego
detekcja zmian zabudowy
SIP
exploration of aerial image
building change detection
GIS
Opis:
Obrazy lotnicze lub satelitarne odgrywają coraz większą rolę podczas kontroli i aktualizacji baz danych miejskich systemów informacji. Podejmuje się próby wykorzystywania informacji bazodanowej jako inicjalnych danych uczących dla modułu rozpoznawania obiektów. Zestawienie rastrowego obrazu lotniczego z danymi wektorowymi pozwala zintegrować informację semantyczną dotyczącą określonych obiektów pokrycia terenu z odpowiednimi podobszarami obrazu rastrowego. Dzięki takiemu podejściu gromadzenie danych uczących jest w dużej mierze zautomatyzowane i tym samym znacznie przyspiesza stosowane procedury fotointerpretacyjne. Zaproponowana tu metodologia została zastosowana do analizy zmian zabudowy terenu. Ustalono, że monitorowanie powinno uwzględniać zarówno powstawanie nowych obiektów budowlanych jak i usuwanie starych. Procedura eksploracyjna ma charakter interaktywny, w którym system wskazuje operatorowi miejsca podejrzane o możliwość wystąpienia zmiany, zaś operator dokonuje ostatecznej weryfikacji wyboru i ręcznie wektoryzuje obiekty zakwalifikowane do zmiany. Do przetestowania przedstawionego tu podejścia, wykorzystano zdjęcie lotnicze obejmujące peryferia miasta Nekla wraz z przylegającym obszarem rolniczym. Opracowano algorytm obejmujący wczytanie wybranej informacji z bazy systemu Geo-Info, wygenerowanie modelu wektorowego dla aktualnego stanu zabudowy, przetworzenie ortofotomapy pod kątem wykrywania krawędzi oraz porównanie wyników z modelem wektorowym (algorytmy dylatacji i erozji). Efektem jest zbiór wskazań miejsc, gdzie mogło nastąpić wyburzenie budynku lub powstanie nowego. Omawiana procedura może działać w ramach programu Geo-Info, co znacznie ułatwia wybór obiektów do aktualizacji bazy.
In order to keep urban spatial databases up-to-date, it is necessary to inspect permanent changes to the environment and input new data into the system. Monitoring urban databases is increasingly conducted by analysis of aerial or satellite images. However, digital information can also be used as learning data for object recognition procedures. Comparison of raster aerial photographs with vector data makes it possible to integrate semantic information about the object’s land cover with corresponding sub areas of the image. Thanks to this, it is possible to automatize the collection of learning data, which greatly increases the speed of used interpretation procedures. The methodology described here was developed for building change detection. It was stated that monitoring should include the detection of both new and removed buildings. The procedure is interactive: the system shows places where new buildings may be in the image or where buildings existing in the database are not present, and the user can make a decision about the nature of the change and digitize a new object if necessary, and add any necessary descriptive information. The solution was implemented in the Polish Geo-Info spatial information system. The orthophotomap of the part of the city of Nekla with surrounding agricultural areas was used for building change detection, and the corresponding database information was used as well. The algorithm includes: - reading necessary information from the database to define places under existing buildings, - color image conversion into grayscale form, - use a Sobel operator to extract perpendicular edges, - image binarization using heuristically defined threshold values, - extraction of places differing from vector data, - indicating each place subsequently on the screen. The procedure works independently or within the Geo-Info system. The former approach uses imported vector data and has its own GUI, and the latter works as an internal procedure making it possible to update the existing database.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2006, 16; 249-257
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria
Autorzy:
Aliyu, Yahaya A
Youngu, Terwase T.
Abubakar, Aliyu Z.
Bala, Adamu
Jesulowo, Christianah I.
Powiązania:
https://bibliotekanauki.pl/articles/1444929.pdf
Data publikacji:
2020
Wydawca:
Politechnika Warszawska. Wydział Geodezji i Kartografii
Tematy:
LULC
change detection
Landsat
Cellular Automata Markov model
Nigeria
wykrywanie zmian
program Landsat
model Markowa
automaty komórkowe
Opis:
For several decades, Nigerian cities have been experiencing a decline in their biodiversity resulting from rapid land use land cover (LULC) changes. Anticipating short/long-term consequences, this study hypothesised the effects of LULC variables in Akure, a developing tropical rainforest city in south-west Nigeria. A differentiated trend of urban LULC was determined over a period covering 1999–2019. The study showed the net change for bare land, built-up area, cultivated land, forest cover and grassland over the two decades to be -292.68 km2, +325.79 km2, +88.65 km2, +8.62 km2 and -131.38 km2, respectively. With a projected population increase of about 46.85%, the study identified that the built-up land cover increased from 1.98% to 48.61%. The change detection analysis revealed an upsurge in built area class. The expansion indicated a significant inverse correlation with the bare land class (50.97% to 8.66%) and grassland class (36.33% to 17.94%) over the study period. The study observed that the land consumption rate (in hectares) steadily increased by 0.00505, 0.00362 and 0.0687, in the year 1999, 2009 and 2019, respectively. This rate of increase is higher than studies conducted in more populated cities. The Cellular Automata (CA) Markovian analysis predicted a 37.92% growth of the study area will be the built-up area in the next two decades (2039). The 20-year prediction for Akure built-up area is within range when compared to CA Markov prediction for other cities across the globe. The findings of this study will guide future planning for rational LULC
Źródło:
Reports on Geodesy and Geoinformatics; 2020, 110; 29-38
2391-8365
2391-8152
Pojawia się w:
Reports on Geodesy and Geoinformatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
SETHI: The Flying Lab
Autorzy:
Bruyant, J. P.
Dreuillet, P.
Du Plessis, O. R.
Oriot, H.
Dubois-Fernandez, P.
Cantalloube, H.
Powiązania:
https://bibliotekanauki.pl/articles/226573.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
SETHI
flying lab
SAR
very high resolution
PolInSAR
bistatic images
radar-optronics complementarity
change detection
biomass
climate change
environment
security applications
Opis:
This paper presents the new-generation test bench SETHI, developed by ONERA, the French Aerospace Lab. SETHI is a medium range platform dedicated to environmental, scientific and security applications. The first part of this paper describes the system architecture, the development state and the future capabilities. A set of recent significant results are presented: these results cover various applications, such as high spatial resolution imaging, change detection between two acquisitions, biomass measurement in the rain forest, bistatic imaging and innovative measurements, such as air-to-air imaging or circular imaging.
Źródło:
International Journal of Electronics and Telecommunications; 2011, 57, 1; 29-35
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł

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