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1 Jan 14, 2021
MAPPING SOUTH SUDAN PRECAMBRIAN BASEMENT ARCHITECTURE USING SATEL-LITE-DERIVED GRAVITY DATA

Freely available satellite gravity data augmented with ac-quired land gravity data were used to map the basement ar-chitecture of South Sudan. The potential field data enhance-ment methods used in this study are horizontal gradient, tilt angle, and analytical signal, which provided the capability of delineating major geologic structures, lithologic boundaries, and tectonic lineaments that can be visually identified by edge-detection processing methods. Qualitative interpretation of satellite-derived Bouguer gravity data has aided mapping of the basement geology of South Sudan, and the results are consistent with the known oilfields and areas of Precambrian basement complexes. Consequently, the information would aid in identifying addi-tional mineral prospective areas, where more detailed gravi-ty, magnetic, electromagnetic, and seismic surveys can be carried out; the combination of these data will assist decision makers in matters related to land use, mineral titles, and ex-ploration of natural resources....

Authors: Cosmas Kujjo, Dhananjay Ravat, Edward Woolery.

2 Jan 14, 2021
APPLICATION OF REMOTE SENSING & GEOGRAPHIC INFORMATION SYSTEM FOR WATER QUALITY MONI- TORING, EVALUATION AND ANALYSIS-A REVIEW

Water resources are counted as one of the major natural resource. Various anthropogenic activities are responsible for depletion of quality of surface water and ground water. In the present review paper, various water quality parameters are discussed and application of remote sensing & GIS tech- nology for monitoring, evaluation and analysis of water quality. Water quality may be described based on pH, TDS, concentration of Fluoride, iron, sulphur etc. remote sensing and GIS may prove to be an important technique for analysis using various modeling methods like IDW, Krigging and other interpolation methods. Water quality analysis may be used for suitability analysis and to find sources of water for drinking, irrigation, commercial and industrial purpose....

Authors: Madipally Vamshi Krishna, Ballu Harish.

3 Jan 14, 2021
LANDSLIDE HAZARD ZONATION MAPPING USING STATISTICAL INFORMATION VALUE METHOD OF UPPER YAMUNOTRI VALLEY IN UTTARKASHI DISTRICT, UTTRAKHAND, INDIA

Landslide is the most devastating natural hazards by means of slow to rapid upward and downward movement of unsta-ble rock and debris masses flow under the force of gravity in the Uttarakhand State of India. Monsoon rainfall and geolog-ical structure have played a key role for occurrence of land-slide. “Landslide Hazard zonation Mapping” or “Susceptibil-ity mapping” is very important to predict the zonation wise susceptible areas. In this work information value (Info Val) method was used for landslide hazard zo-nation mapping, considering these parameters - thematic layer slope, aspect, relative relief, land use/land cover, NDVI, lineament, geo-morphology etc. This thematic layer has been created and information values were calculated for each and every layer. Then all information value maps are integrated for final zo-nation mapping or susceptibility mapping. Mainly this pro-ject was done for the creation of inventory map and com-bines each thematic layer for calcu-lation. The interpreta-tions of the susceptibility map reveal that geology, slope, slope aspect, and relative relief played major roles in land-slide occurrence and distribution in the Upper Yamunotri valley....

Authors: Saheb Halder, Shovan Lal Chattoraj, P. K. Champati Ray, Shambhu Nath Mishra, Amit Dhorde, Kishore Dandapat.

Announcements

  • Volume 9, Issue 1, January 2020 will be published on 30 August 2020. Posted by Admin.