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- Title
Linear aspects of morphometric analysis generated from QSWAT: with special reference to accuracy of various DEMs with conventional and computation techniques.
- Authors
Chokkavarapu, Nagaveni; Mandla, Venkata Ravibabu; Peddinti, Veerendra Satya Sylesh; Alugari, Vamshi Krishna Reddy
- Abstract
The German TanDEM-X mission's primary goal is to create a highly accurate and global digital elevation model (DEM) with global accuracies of at least 10 m absolute height error (linear 90% error). This paper provides one-of-a-kind accuracy assessment of the TanDEM-X global DEM. The assessment of the TanDEM-X DEMs over Nallamala Area, Andhra Pradesh is presented through a comparison with SRTM and TanDEM-X DEMs. TanDEM-X has a finer effective spatial (i.e., horizontal) resolution than SRTM, according to analysis, visualization, and elevation scatterplots. As a first step, digital elevation models are compared to the conventional method of GCP (ground control point) elevation. Then, any two DEMs are compared using a computational method such as R programing, which is a statistical technique that selects point locations with equal distance. TanDEM-X lower elevations indicate that the radar signal penetrates deeper. DEMs with differences allowed the identification of issues related to the production methods of the DEMs. A systematic difference in elevations between TanDEM-X 12 and 30 m, and SRTM was observed. The results show a high level of detail and consistency for TanDEM-X data, indicate that the effective horizontal resolution of SRTM is coarser than the nominal 12 and 30 m. These DEMs are then delineated in QSWAT model for stream network generation. QSWAT is a tool used for the validation of digital elevation models (DEMs) in hydrological modeling. It allows for the comparison of the topographic features of the DEM with field survey data to identify discrepancies and improve model accuracy.
- Subjects
ANDHRA Pradesh (India); DIGITAL elevation models; FIELD research; ENDOSSEOUS dental implants; PRODUCTION methods; HYDROLOGIC models; DATA visualization; GROUND penetrating radar
- Publication
Arabian Journal of Geosciences, 2023, Vol 16, Issue 10, p1
- ISSN
1866-7511
- Publication type
Article
- DOI
10.1007/s12517-023-11700-x