A new vegetation index derived from the pattern decomposition method applied to Landsat‐7/ETM+ images in Mongolia

X-ray powder diffraction data for a new potassium sodium silicate Na1.3K0.7Si2O5are reported. The sample was prepared by calcining a mixture of NaOH, KOH, and sodium silicate (SiO2/Na2O=3.54, moisture content=60%) at 873 K for 2 h. The crystallographic data obtained by using the whole-powder-pattern decomposition method are Na1.3K0.7Si2O5, monoclinic, P21/c, a=4.8426(1) Å,b= 8.6892(2) Å,c= 11.9686(3) Å,β=90.373(2)°,V=503.60(2) Å3,Z=4,Dx= 2.51 g/cm3.

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Factor analysis and pattern decomposition method

10.1117/12.654889 ◽

2005 ◽

Author(s):

Motomasa Daigo

Keyword(s):

Factor Analysis ◽

Decomposition Method ◽

Pattern Decomposition

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Quantitative Phase Analysis using the Whole-Powder-Pattern Decomposition Method. I. Solution from Knowledge of Chemical Compositions

Journal of Applied Crystallography ◽

10.1107/s0021889894014986 ◽

1995 ◽

Vol 28 (4) ◽

pp. 392-399 ◽

Cited By ~ 14

Author(s):

H. Toraya ◽

S. Tsusaka

Keyword(s):

Phase Analysis ◽

Decomposition Method ◽

Powder Pattern ◽

Quantitative Phase Analysis ◽

Chemical Compositions ◽

Quantitative Phase ◽

Pattern Decomposition

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Digital analysis of multispectral space imagery Landsat 7 ETM+ of the area in central part of Ukrainian Carpathians

Visnyk of the Lviv University. Series Geography ◽

10.30970/vgg.2013.41.1994 ◽

2013 ◽

pp. 205-212 ◽

Cited By ~ 2

Author(s):

Olexandr Mkrtchian

Keyword(s):

Principal Component Analysis ◽

Principal Components ◽

Vegetation Index ◽

Principal Component ◽

Digital Analysis ◽

Vegetation Types ◽

Space Imagery ◽

Ndvi Index ◽

Landsat 7 ◽

Spectral Channels

The methodology and results of the digital analysis of multispectral space imagery LANDSAT 7 ETM+ are considered, namely the calculation of NDVI index and isolation of principal components. The meaning of the latter has been analyzed by the calculation of their correlations with spectral channels and relations to the main vegetation types. Key words: multispectral geoimagery, vegetation index, principal component analysis, geoinformation analysis.

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ΑΞΙΟΛΟΓΗΣΗ TOY ΔΕΙΚΤΗ ΒΛΑΣΤΗΣΗΣ TVI ME ΤΗ ΣΥΝΔΡΟΜΗ ΤΗΣ ΘΕΩΡΙΑΣ ΠΙΘΑΝΟΤΗΤΩΝ

Bulletin of the Geological Society of Greece ◽

10.12681/bgsg.16478 ◽

2004 ◽

Vol 36 (3) ◽

pp. 1338

Author(s):

Γ. Αιμ. Σκιάνης ◽

Δ. Βαϊόπουλος ◽

Κ. Νικολακόπουλος

Keyword(s):

Probability Theory ◽

Standard Deviation ◽

Vegetation Index ◽

Near Infrared ◽

Normalized Difference Vegetation Index ◽

Environmental Research ◽

Theoretical Predictions ◽

Landsat 7 ◽

The Right ◽

Western Greece

In the present paper the statistical behaviour of the Transformed Vegetation Index TVI is studied. TVI is defined by: (equation No1) - or, alternatively, by: (equation No2) u is the numerical value of the vegetation index, χ and y are the brightness values of the near infrared and red zones, respectively. Relation (1) defines the vegetation index TVI. Relation (2) defines the vegetation index TVI'. Using appropriate distributions to describe the histograms of χ and y channels, and taking into account certain theorems from probability theory, the expressions for the distributions of TVI and TVI' values are deduced. According to these expressions, the standard deviation of TVI image is larger than that of TVI', as well as NDVI (Normalized Difference Vegetation Index). The prevailing value of the TVI' histogram is located at the right part of the tonality range. Therefore, according to the mathematical analysis, the TVI image has a better contrast than that of the NDVI and TVI' images. The TVI' has a diffuse luminance. The theoretical predictions were tested with a Landsat 7 ETM image of Zakynthos Island (western Greece) and they were found to be in accordance with the satellite data. It was also observed that lineaments with a dark tonality are expressed more clearly in the TVI image than in the TVI' image. The general conclusion is that the TVI vegetation index is preferable from TVI', since the former produces images with a larger standard deviation and a better contrast than the latter. The results and conclusions of this paper may be useful in geological and environmental research , for mapping regions with a different vegetation cover.

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Analisis Perubahan Penggunaan Lahan Menggunakan Metode NDVI (Normalized Difference Vegetation Index) pada Kecamatan Natar, Kabupaten Lampung Selatan

Unram Journal of Community Service ◽

10.29303/ujcs.v2i1.22 ◽

2021 ◽

Vol 2 (1) ◽

pp. 17-22

Author(s):

Fattur Rachman

Keyword(s):

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Agricultural Sector ◽

Land Conversion ◽

Field Observations ◽

Land Uses ◽

Vegetation Density ◽

Index Method ◽

Landsat 7 ◽

Open Land

Natar District is one of the districts in South Lampung Regency which has an area of 213.77 km2 or around 21,377 HA. In the agricultural sector, most of the land in Natar District is dominated by maize and paddy fields. This study aims to determine changes in land use in 2002, 2009 and 2019 in Natar District, South Lampung Regency. This study uses imagery from Landsat 7 and 8 processed in the NDVI (Normalized Difference Vegetation Index) method with the formula "NDVI = (NIR-RED) / (NIR + RED)". After processing the data, field observations were made to 30 sample points which were spread evenly throughout the Natar District. In this study, the results showed that land conversion to open land increased every year, on the other hand the area of land with low to moderate vegetation density decreased every year. In field observations, it was found that various land uses ranging from settlements, markets, and various uses for agricultural and plantation land.

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