Autor: Lewiński, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Wykorzystanie zdjęć satelitarnych MODIS do badania stopnia pokrycia terenu roślinnością
Use of MODIS Satellite Images to Study the Percentage of Vegetation Cover
Autorzy:: Tomaszewska, M.
Lewiński, S.
Woźniak, E.
Powiązania:: https://bibliotekanauki.pl/articles/132289.pdf
Data publikacji:: 2011
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: stopień pokrycia
teren
roślinność
NDVI
Landsat TM
MODIS
degree
vegetation cover
Opis:: The work presents a methodology of processing MODIS satellite images in order to obtain information on the degree of correlation and dependence between vegetation index NDVI and a percentage of a vegetation cover. The low resolution satellite image from MODIS scanner placed on AQUA satellite was used in the analysis and as a reference data – an image from Landsat TM satellite. The test area was Warsaw and its surroundings. The analysis allowed to obtain a function which defines the relation between NDVI index and a percentage of vegetation cover (R2 = 0,85) This analysis permitted to create vegetation cover maps of Masovian Voivodeship. The work proved the possibility of mapping land vegetation cover on the base of low resolution satellite images. That kind of a map can be used as a background material to carry out various types of environmental studies.
Źródło:: Teledetekcja Środowiska; 2011, 46; 15-22
1644-6380
Pojawia się w:: Teledetekcja Środowiska
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Wykrywanie wody na zdjęciach optycznych Sentinel-2 na podstawie wskaźników wodnych
The detection of water on Sentinel-2 imagery based on water indices
Autorzy:: Robak, A.
Gadawska, A.
Milczarek, M.
Lewiński, S.
Powiązania:: https://bibliotekanauki.pl/articles/132357.pdf
Data publikacji:: 2016
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: Sentinel-2
obrazowanie optyczne
wskaźniki wodne
detekcja wody
korekcja atmosferyczna
optical satellite images
water indices
water detection
atmospheric correction
Opis:: Copernicus Programme managed by the European Commission and implemented in partnership with i.a. the European Space Agency (ESA) provides free access to satellite data from Sentinel mission including Sentinel-2 high resolution optical satellite data. The aim of the research was to recognize opportunities of water detection on Sentinel-2 imagery. Satellite data was analyzed before and after atmospheric correction. A number of tests were carried out using indices selected from the literature. Based on the gained experience, a new index for water detection has been proposed, Sentinel Water Mask (SWM), specially adapted for Sentinel-2 images. Its construction is based on the highest difference between spectral values of water surface and other land cover forms. SWM provides quick and effective detection of water which is especially important in flood assessment for crisis management. Research was performed on unprocessed images of Sentinel-2 Level-1C and images after atmospheric correction (Level-2A). Water was detected with the use of threshold values determined by the visual interpretation method. The accuracy of the obtained water masks was assessed on the basis of validation points. The performed analysis allowed to indicate indices, which enable estimation of areas covered by water on Sentinel-2 images with high classification accuracy, this is: AWEInsh (Automated Water Extraction Index), MNDWI (Modified Normalized Difference Water Index), NDWIMcFeeters (Normalized Difference Water Index). Their application allowed for achievement of overall accuracy of water detection oscillating around 95% and high Kappa coefficient. The usage of the proposed SWM index leads to slightly better results (more than 96%). The sensitivity to the selection of threshold values of analyzed indices was assessed and then the optimal threshold ranges were determined. The optimal threshold value for NDWIMcFeeters should be included in the value range (0.1, 0.2), for MNDWI (0.2, 0.3) and for SWM (1.4, 1.6). The unambiguous threshold range for AWEInsh index was impossible to indicate due to the large range of values.
Źródło:: Teledetekcja Środowiska; 2016, 55; 59-72
1644-6380
Pojawia się w:: Teledetekcja Środowiska
Dostawca treści:: Biblioteka Nauki

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