Novel Technique to Investigate Glacio-fluvial Hypsometry in Hunza Using Local Indicator of Spatial Autocorrelation (LISA)

Syed Amer Mahmood ()
Additional contact information
Syed Amer Mahmood: Department of Space Science, University of Punjab.

International Journal of Innovations in Science & Technology, 2021, vol. 3, issue 2, 73-85

Abstract: Hypsometric Integral (HI) displays the effect of active tectonics and sensitivity on geomorphic structures. In this study we calculated HI values for Hunza valley to investigate neotectonics, development of topographic structures and process of erosion using SRTM DEM 90m. ArcGIS and MATLAB is used to generate HI and hypsometric curve (HC). We generated HI and HC values by using D8 algorithm in MATLAB to extract drainage basins for 5 and 6 Strahler orders. HI and HC values show the stages of erosion for instance high values of HI and convex HC displays young and tectonically active stage. We used different grid sizes in ArcGIS to calculate maximum, mean and minimum elevation utilizing different statistical techniques. We used Local Indicator of Spatial Autocorrelation (LISA) instead of Global Moran Index to determine the extent of distribution of clustered, dispersed and randomized HI values. This technique indicates high positive z score for auto correlated data. Regions with high HI value indicate relative uplift, undissected and young structures while low HI values indicate sediment accumulation and shallow earthquakes.

Keywords: SRTM DEM 90m; Global Moran Index; Hypsometry; Spatial auto-correlation. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journal.50sea.com/index.php/IJIST/article/view/47 (application/pdf)
https://journal.50sea.com/index.php/IJIST/Novel-Te ... nvestigate-Glacio-fl (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abq:ijist1:v:3:y:2021:i:2:p:73-85

DOI: 10.33411/IJIST/2019010102

Access Statistics for this article

International Journal of Innovations in Science & Technology is currently edited by Prof. Dr. Veraldo Lisenberg, Prof Dr. Ali Iqtedar Mirza

More articles in International Journal of Innovations in Science & Technology from 50sea
Bibliographic data for series maintained by Hafiz Haroon Ahmad, Iqra Nazeer ().