Variability in the determination of total atmospheric ozone using remote sensing spectroscopic techniques

1978 ◽  
Vol 116 (1) ◽  
pp. 44-55 ◽  
Author(s):  
G. G. Sivjee ◽  
G. J. Romick ◽  
W. B. Murcray
Keyword(s):  
Remote Sensing ◽  
Spectroscopic Techniques ◽  
Atmospheric Ozone

Determination of application volume for coffee plantations using artificial neural networks and remote sensing

2021 ◽  
Vol 184 ◽  
pp. 106096
Author(s):  
Mailson Freire de Oliveira ◽  
Adão Felipe dos Santos ◽  
Elizabeth Haruna Kazama ◽  
Glauco de Souza Rolim ◽  
Rouverson Pereira da Silva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Coffee Plantations ◽  
Artificial Neural ◽  
Application Volume

Automatic image referencing in satellite surveying

2021 ◽  
pp. 458-463
Author(s):  
V.A. Pantyushin ◽  
A.A. Andreev
Keyword(s):  
Remote Sensing ◽  
Topographic Maps ◽  
Automatic Determination ◽  
Digital Maps ◽  
The Earth ◽  
Areal Coverage ◽  
Fully Automatic

The method of coordinate referencing of remote sensing materials in the process of satellite surveying is proposed in this paper. The method provides automatic determination of position of the survey routes and images in the routes on the surface of the Earth ellipsoid with their subsequent displaying on the nomenclature sheets of topographic maps on the composite table. The method provides for fully automatic development of a scheme of areal coverage with survey materials in the presence of data on the coordinates of photographing points obtained at the moments of exposure. The algorithm can be used to link images to the corresponding areas of electronic and digital maps.

Comparative chemotype determination of Lamiaceae plants by means of GC–MS, FT-IR, and dispersive-Raman spectroscopic techniques and GC-FID quantification

2014 ◽  
Vol 62 ◽  
pp. 22-33 ◽  
Author(s):  
Raquel Rodríguez-Solana ◽  
Dimitra J. Daferera ◽  
Christina Mitsi ◽  
Panayiotis Trigas ◽  
Moschos Polissiou ◽  
...  
Keyword(s):  
Spectroscopic Techniques ◽  
Raman Spectroscopic ◽  
Ft Ir

Structure Determination of 3,5-Biscyclohexylidene-1,2,4-trithiolane / Structure Determination of 3,5-Biscyclohexylidene-1,2,4-trithiolane

1980 ◽  
Vol 35 (8) ◽  
pp. 1015-1018 ◽  
Author(s):  
Werner Winter ◽  
Hanspeter Bühl ◽  
Herbert Meier
Keyword(s):  
General Formula ◽  
Structure Determination ◽  
Title Compound ◽  
Direct Methods ◽  
Spectroscopic Techniques ◽  
Space Group ◽  
X Ray ◽  
Cell Parameters ◽  
Final Structure

Abstract Fragmentation of 1,2,3-thiadiazoles (1) leads to the compounds 5 - 8 with an increasing proportion of sulphur. Numerous structural possibilities exist for the products 7 with the general formula (R2C2)2S3. The number of proposals can be reduced by spectroscopic techniques, but the final structure determination is accomplished by an X-ray analysis of the title compound 7a. 7a crystallizes in the space group P21/c (Z = 4) with cell parameters of a = 9.714(1), b = 16.188(8), c = 9.149(2) Å and β = 98.93(1)°. The structure is solved by direct methods and refined to R = 0.053 with 1955 diffractometer data (I ≥ 2σ(I)). The trithiolane ring has a puckered conformation and the whole molecule shows nearly perfect C2-symmetry, which is not required crystallographically.

scholarly journals Interpretation of the X-Ray Spectra of Solar Active Regions

1975 ◽  
Vol 68 ◽  
pp. 73-100 ◽  
Author(s):  
Arthur B. C. Walker
Keyword(s):  
Transition Region ◽  
Rate Constant ◽  
Active Regions ◽  
Temperature Structure ◽  
Spectroscopic Techniques ◽  
Density Structure ◽  
Coronal Temperature ◽  
X Ray ◽  
Euv Spectrum

This paper presents a review of recent analytical studies of the coronal X-ray spectrum below 25 Å. The techniques used to compute the theoretical coronal spectrum, and the currently available atomic rate constant data are reviewed first. Spectroscopic techniques which have been proposed for the determination of coronal temperature and density structure, and the results derived from their application to coronal spectra are also reviewed.A number of coronal models based on X-ray observations have been developed recently, and the coronal temperature structure and composition predicted by these models is discussed, and compared with models of the corona and transition region derived from studies of the solar EUV spectrum.

scholarly journals Critical Land Detection using Remote Sensing Device and Geographic Information (Case Study of Critical Land Basic of Catchments Area, Alang, Wonogiri)

2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Beny Harjadi
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Critical Level ◽  
Satellite Image ◽  
Geographic Information ◽  
Level Data ◽  
The Difference

Work criteria and indicator of Catchments Area need to be determined because the success and the failure of cultivating Catchments Area can be monitored and evaluated through the determined criteria. Criteria Indicators in utilizing land, one of them is determined based on the erosion index and the ability of utilizing land, for analyzing the land critical level. However, the determination of identification and classification of land critical level has not been determined; as a result the measurement of how wide the real critical land is always changed all the year. In this study, it will be tried a formula to determine the land critical/eve/ with various criteria such as: Class KPL (Ability of Utilizing Land) and the difference of the erosion tolerance value with the great of the erosion compared with land critical level analysis using remote sensing devices. The aim of studying land critical level detection using remote sensing tool and Geographic Information System (SIG) are:1. The backwards and the advantages of critical and analysis method2. Remote Sensing Method for critical and classification3. Critical/and surveyed method in the field (SIG) Collecting and analyzing data can be found from the field survey and interpretation of satellite image visually and using computer. The collected data are analyzed as:a. Comparing the efficiency level and affectivity of collecting biophysical data through field survey, sky photo interpretation, and satellite image analysis.b. Comparing the efficiency level and affectivity of land critical level data that are found from the result of KPL with the result of the measurement of the erosion difference and erosion tolerance.

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