Assessing the Accuracy of Open Source Altitude Data for the Hilly Area in Tehri Garhwal District of Uttarakhand, India

Rawat, Kishan Singh; Kumar, Sanjeev; Mishra, Anil Kumar; Singh, Sudhir Kumar

doi:10.1007/978-981-16-6879-1_17

Cited by 2 publications

(4 citation statements)

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“…Assessment of external accuracy is the most usual option, although, as El Hage indicates, this perspective is not always the most appropriate. Vertical accuracy is linked to horizontal or planimetric accuracy, but there are very few studies (e.g., [29,68,92,93]) that analyze the influence of the possible horizontal displacement between data sets. That is to say that in practically all the cases it is assumed that this displacement does not exist as an underlying basic hypothesis.…”

Section: Discussionmentioning

confidence: 99%

“…In relation to the assessment, a clear formulation of the comparison method to be followed is lacking, but the majority of the papers offer a ranking of the GDEM analyzed (e.g., [65,[107][108][109][110]), although very few propose some kind of procedure to combine various analysis perspectives in a metric that allows ordering of the analyzed GDEMs ( [68,111]). There are numerous cases in which several criteria are used, but without resulting in an ordering of the available GDEM.…”

Section: Discussionmentioning

confidence: 99%

“…For example, ref. [44] uses six criteria and [68] twelve. The use of several criteria offers a multivariate perspective from the statistical point of view, although statistical studies of this type were not found in the corpus.…”

Section: Othermentioning

confidence: 99%

“…The use of several criteria offers a multivariate perspective from the statistical point of view, although statistical studies of this type were not found in the corpus. Concerning the number of criteria used in the corpus, the modal value is one, 29% of the cases consider four or more criteria, and there is a case in which twelve criteria are used jointly [68].…”

Section: Othermentioning

confidence: 99%

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Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application

López-Vázquez

López

2023

IJGI

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From an extensive search of papers related to the comparison of Global Digital Elevation Models (hereinafter GDEMs), an analysis is carried out that aims to answer several questions such as: Which GDEMs have been compared? Where have the comparisons been made? How many comparisons have been made? How have the assessments been carried out? Which is the GDEM option with the lowest RMSE? Analysis shows that SRTM and ASTER are the most popular GDEMs, that the countries where more comparisons have been made are Brazil, India, and China, and that the main type of reference data for evaluations is the use of points surveyed by GNSS techniques. A variety of criteria have been found for the comparison of GDEMs, but the most used are the RMSE and the standard deviation of the elevation error. There are numerous criteria with a more user-centric character in thematic areas, such as morphometry, geomorphology, erosion, etc. However, in none of the thematic areas does there exist a standard method of comparison. This limits the possibilities of establishing a ranking of GDEMs based on their user-focused quality. In addition, the methods and reference data set are not adequately explained or shared, which limits the interoperability of the studies carried out and the ability to make robust comparisons between them.

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Section: Discussionmentioning

confidence: 99%