Automated Author Profile

Tripathi, Prateek

Current S-Index

24.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

26

Total datasets for this author

Average FAIR Score

57.7%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Hyperspectral Remote Sensing for Mineral Mapping

This comparison presents the 12 different research articles in the field of Hyperspectral remote sensing and spectroscopy. Remote sensing is currently the most important tool in Earth sciences. Here all the contributions discusses the mapping of minerals using different hyperspectral and multispectral datasets.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.6 Dataset Index
10.48366/r108358January 2021

Application of Data Dimensionality Reduction Techniques in Image Processing

Here the comparison of various data dimensionality reduction techniques or feature extraction techniques is shown for geological applications. These are some basic papers that utilized both spaceborne and airborne imageries.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.7 Dataset Index
10.48366/r109236January 2021

Integrated spectroscopic studies on Earth rocks: Implications for Planetary analogs

This comparison shows the various methods used to characterize rocks on Earth using the spectroscopic method in different spectral ranges. This type of characterization helps understand extraterrestrial surfaces and builds the background and necessary base for future planetary exploration.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.7 Dataset Index
10.48366/r137151January 2021

Integrated spectroscopic studies of Earth rocks: Implications for Planetary analogs

This comparison shows the various methods used to characterize rocks on Earth by utilizing spectroscopic methods in different spectral ranges. This type of characterization helps understand extraterrestrial surfaces and builds the background and necessary base for future planetary exploration.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.7 Dataset Index
10.48366/r137164January 2021

Sub-surface Geology of the Lunar surface using Ground penetrating radar

This comparison is a brief and concise overview of Sub-surface geology, stratigraphy, and regolith as observed from Lunar penetrating radar (LPR) onboard Chang'e 3 and 4 lunar missions. Various layers with thier thickness and processing methods for LPR data are comapred here. This comparison can be of a great help to geologists, scientists and researchers in the field of planetary sciences.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.7 Dataset Index
10.48366/r138179January 2021

A recent Reflectance analysis of Moon mineralogy using all the Imaging and non-imaging orbital spectrometers

This includes the Hyperspectral Imager (HySI), Moon Mineralogy, Mapper (M3), Spectral Profiler (SP), Infrared Spectrometer-2 (SIR-2), Multiband Imager (MI), Visible and Near-Infrared Spectrometer (VNIS), and Apollo samples as reflectance spectra. This comparison can provide a decent and robust base for an early researcher in Electronics and lunar sciences.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR1.3 Dataset Index
10.48366/r138393January 2021

A comprehensive Raman Spectroscopic analysis of Apollo returned rock samples

This comparison shows the Raman spectroscopic (scattering) analysis of minerals found in rock and soil samples returned from Apollo lunar missions, including Apollo 11, 12, 14, 15, 16, and 17. The contributions added in the comparison have analyzed Apollo returned lunar rock samples using more than one spectroscopic method, but only the intensity peaks from Raman spectral analysis are discussed here. This comparison will help the researchers and students in Earth and lunar sciences to build a general knowledge of the polymorphs of minerals on the lunar surface.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.7 Dataset Index
10.48366/r138542January 2021

Mineralogical analysis of Mars in Visible-infrared wavelength range of electromagnetic spectrum

This comparison gives an overview of several minerals detected from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) spectrometer onboard Mars Reconnaissance Orbiter (MRO). Various contributions covering the key Martain locations are included in this comparison. This will help the students and researchers from the field of Martian geology.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.7 Dataset Index
10.48366/r139845January 2021

Application of ASTER multispectral imageries for identification and characterization of minerals in India

This comparison shows the application of ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) multispectral remote sensing data for the mineralogy of various geologically important areas in India. Due to the availability of extended wavelength bands (visible to thermal infrared), the ASTER data is still beneficial (decommissioned in 2009) for mineralogical applications.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR0.5 Dataset Index
10.48366/r140726January 2021

A comprehensive review of mineralogy at Cuprite hills in Nevada, United States from various multispectral and hyperspectral sensors

This comparison reviews the findings from some key research papers which noted significant results for the mineralogy of Cuprite hills in Nevada, US. ASTER, AVIRIS-NG, and field spectrometers have provided crucial information regarding the mineralogy and alteration at the famous and ideal testing site for geological remote sensing. This comparison will help the students and researchers choose or focus on a particular mineral before the starting of their research work.

Authors

  • Tripathi, Prateek
0 Citations0 Mentions58% FAIR1.4 Dataset Index
10.48366/r140805January 2021