Vertical accuracy assessment of open source digital elevation models under varying elevation and land cover in Western Ghats of India

Shetty, Swathi; Vaishnavi, P. C.; Umesh, Pruthviraj; Shetty, Amba

doi:10.1007/s40808-021-01119-2

Cited by 12 publications

(5 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It shows a high mean error of 27.50m for SRTM, and ALOS Palsar DEM has a low mean error of 19.20m with actual elevation. The same results obtained in (Rawat et al, 2019), (Jain et al, 2018b) (Shetty et al, 2021) on Shurbulak water reservoir project, the DEM derived from ALOS palsar shows similar results in comparison with ASTER and SRTM derived DEMs.…”

Section: Vertical Error and Accuracy Analysissupporting

confidence: 77%

See 1 more Smart Citation

Determination of Parameters for Watershed delineation using various satellite derived Digital Elevation Models and its accuracy

2023

Global NEST: The International Journal

View full text Add to dashboard Cite

<p>Digital Elevation Model (DEM) is an inevitable tool for many applications, such as natural resource management. In the present scenario, it is available with various resolutions from meter to sub-meter accuracy. These data are used extensively to explore the river basin's physical features by detecting and extracting watershed boundaries, elevation points, drainage networks, flow directions, and morphological parameters. Although many researchers have used DEMs to delineate the watershed boundaries of the river basin, accuracy makes the significant distinction and usage of various DEMs. In this study, the accuracy of watershed delineation derived from various open-source DEMs such as Shuttle Radar Topographic Mission (SRTM), Advanced Spaceborne Thermal Emission, and Reflection Radiometer (ASTER), Cartosat-1, and ALOS Palsar, in the vaigai river basin have been observed. The Arc SWAT hydrological modeling tool was used to delineate the watershed boundary using the DEMs mentioned above. Eventually, the outcome is validated with the help of base data received from TN-PWD (Tamilnadu Public Work Department). The results attained from the extraction of the watershed boundary from various DEMs reveal that the watershed boundary delineated from ALOS – Palsar is closely matching with the actual boundary of vaigai river basin. The regression analysis of the watershed on area and perimeter obtained from the ALOS Palsar DEM yielded R2 as 0.97 and 0.99. This R2 exhibits the close fitness of the predicted value with data obtained from TN-PWD data. The ALOS Palsar DEM provided low vertical errors and high vertical accuracy compared to other DEMs. Overall the ALOS Palsar DEM generated outcome exhibited comparatively better results than the rest of the DEMs.</p>

show abstract

Section: Vertical Error and Accuracy Analysissupporting

confidence: 77%

“…It is observed that all the DEMs have predicted , the elevations nearer to the actual value and there is not much variation. In a recent study carried out by (Shetty et al, 2021) , (Ibrahim et al, 2020) and (Das et al, 2016) found that the SRTM and ASTER showed the similar results in the hilly area of their study.…”

Section: Elevation and Altemetric Errormentioning

confidence: 62%

Determination of Parameters for Watershed delineation using various satellite derived Digital Elevation Models and its accuracy

2023

Global NEST: The International Journal

View full text Add to dashboard Cite

show abstract

“…DEM was used to classify the slopes and delineate the watersheds in the area. [ 40 ] Therefore, SRTM DEM data were used to delineate the watershed boundary, SW (sub‐watershed), HRU (hydrological response units), and slope classification. The maximum number of slope classes in the SWAT models is up to five categories.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Land‐Use Change on the Hydrology of Lake Tana Basin, Upper Blue Nile River Basin, Ethiopia

Getachew

Manjunatha

2022

Global Challenges

View full text Add to dashboard Cite

Human activities impact hydrology through changes in land use and land cover. This study examins the effects of changing land use on hydrological processes using the soil and water assessment tool (SWAT) model. The data is acquired from Landsat 4‐5 Thematic Mapper (TM) in 1989, Landsat 7 Enhanced Thematic Mapper Plus (ETM+) in 2005, and Landsat 8 Operational Land Inventory (OLI) in 2019. Image preprocessing, which includes georeferencing, radiometric and atmospheric correction, image enhancement, band composite, mosaicking, and sub‐setting, are performed. After that, supervised classification, accuracy assessment, and change detection are carried out. The hydrological changes in 1989, 2005, and 2019 are analyzed using land‐use maps. The SWAT model's calibration, validation, and sensitivity analysis are performed using the Integrated Parameter Estimation and Uncertainty Analysis Tool in the four main rivers of the basin. Farmlands and built‐up lands are found to have steadily increased in the basin, while shrublands, grasslands, and bare lands declined. Due to an expansion of agricultural and built‐up lands and a decrease in shrublands and grasslands, the basin's mean annual water yield and surface runoff increased in 2019, while evapotranspiration and lateral flow decreased compared to 1989 and 2005. Therefore, future watershed and basin management shall consider changing land use.

show abstract

“…As Google Earth (GE), AW3D30, TanDEM-X, and other opensource digital elevation model (DEM) data can provide the spatial location of non-cooperative targets over a wide range, they each have recently attracted considerable attention. (1) GE, a virtual Earth software program originally developed by Google in 2005, arranges satellite photographs, aerial photographs, and geographic information system data on a threedimensional model of Earth at a global scale. However, Google has not officially reported its accuracy.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of Google Earth and Open-source Digital Elevation Models in China Using GPS on Field Control Points

Zhang,

You,

Deng

et al. 2023

Sensors and Materials

View full text Add to dashboard Cite

Google Earth (GE) provides accurate and reliable global high-resolution images and can obtain the coordinates of any point on Earth's surface. A digital elevation model (DEM) is a dataset that quantitatively reflects the elevation of Earth's surface. Although GE and DEMs can be used to obtain the coordinates of any position on Earth, their open-access data can be affected by various factors, thereby inducing undesirable precision variability. Therefore, it is essential to estimate the accuracy of GE and open-source DEMs. In this study, 325 high-precision GPS survey points in 16 regions in China were used to evaluate the horizontal and vertical accuracies of GE and the elevation accuracy of two open-source DEMs. GE had a high horizontal accuracy with a root mean square error (RMSE) of 2.495 m and an error range of 1.090-4.844 m. The elevation accuracy of GE (RMSE = 2.610 m) was lower than those of TanDEM-X (RMSE = 2.055 m) and AW3D30 (RMSE = 2.373 m) DEMs. At the same time, the impacts of slope, aspect, and feature type on the accuracy of these data are studied and analyzed. The results show that the accuracy of control data are closely related to the characteristics of the study area. Overall, these findings indicate that for future studies in China, GE can be used to acquire horizontal data, whereas TanDEM-X and AW3D30 are more suitable for elevation data that have higher precision and provide a reference for relevant research on geographic information.

show abstract

Vertical accuracy assessment of open source digital elevation models under varying elevation and land cover in Western Ghats of India

Cited by 12 publications

References 44 publications

Determination of Parameters for Watershed delineation using various satellite derived Digital Elevation Models and its accuracy

Determination of Parameters for Watershed delineation using various satellite derived Digital Elevation Models and its accuracy

Impacts of Land‐Use Change on the Hydrology of Lake Tana Basin, Upper Blue Nile River Basin, Ethiopia

Accuracy Assessment of Google Earth and Open-source Digital Elevation Models in China Using GPS on Field Control Points

Contact Info

Product

Resources

About