Quantification of the error of digital terrain models derived from images acquired with UAV

Jiménez-Jiménez, Sergio Iván; Ojeda-Bustamante, Waldo; Ontiveros-Capurata, Ronald Ernesto; Flores-Velázquez, Jorge; Marcial-Pablo, Mariana de Jesús; Robles-Rubio, Braulio David

doi:10.5154/r.inagbi.2017.03.007

Cited by 8 publications

(10 citation statements)

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“…Both the MAE and the RMSE, measure the accuracy of the estimate regarding the observed data. The RMSE penalizes errors of greater magnitude, making it more sensitive to these errors than the MAE is [15]. The RB allows knowing if the CMORPH algorithm underestimates or overestimates precipitation.…”

Section: Indicatormentioning

confidence: 99%

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

Flores

Ortíz-Gómez

Fierro

et al. 2019

Water

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Satellite-based precipitation (SBP) products with global coverage have the potential to overcome the lack of information in places where there are no rain gauges to perform hydrological analyses; however, it is necessary to evaluate the reliability of the SBP products. In this study, we evaluated the performance of the Climate Prediction Center morphing technique with corrected bias (CMORPH-CRT) product in 14 sites in Mexico. The evaluation was carried out using two approaches: (1) using categorical metrics that include indicators of probability of detection (POD), false alarm rate (FAR), critical success index (CSI), and frequency bias index (FBI); and (2) through statistical indicators such as the mean absolute error (MAE), root mean square error (RMSE), relative bias (RB), and correlation coefficient (CC). The analysis was carried out with two levels of temporal aggregation: 30 min and daily. The results indicate that the CMORPH-CRT product overestimates the number of precipitation events in most cases since FBI values greater than 1 in 78.6% of analyzed stations were obtained. Also, we obtained CC values in the range of 0.018 to 0.625, which implied weak to moderate correlations, and found that in all stations, the CMORPH-CRT product overestimates the precipitation (RB > 0).

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Section: Indicatormentioning

confidence: 99%

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

Flores

Ortíz-Gómez

Fierro

et al. 2019

Water

View full text Add to dashboard Cite

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“…Although UAVs have significantly increased their capacity to collect data in the field with higher density (Dering et al, 2019), it has been pointed out that the use of additional tools improves the precision of the results (Jimenez et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the use of Agisoft Meta Shape software and ground control points (GCP) added to the high-quality images contribute to improving the precision of the DEM obtained (Jimenez et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…The use of distributed ground control points (GCP), allows greater control in the plani-altimetry correction of the images, producing acceptable errors (Liew et al, 2012;Jimenez et al, 2017;Martinez et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…However, these procedures make it possible to compare the methodologies with respect to the conventional methods. The bibliographic information is still scarce, and dispersed; the topography obtained by UAV requires case studies that contribute to validate the precision that can be achieved using this instrument, and the support of control points (Jimenez et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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On the measure of land subsidence throughout DEM and orthomosaics using GPS and UAV

Galeana-Pérez

Alegría

Medellin-Aguilar

2021

iit

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Today, topography is an essential part for the construction of civil works in Mexico and in the world, obtaining it has become a complicated task due to the large areas to be built, the difficult access that puts the integrity of individuals at risk; and the high requirement of personnel for the tasks. Currently, photogrammetry using unmanned aerial vehicles (UAV) has been potentiated due to the infinity of uses, autonomy and little demand for resources, to carry out tasks in short times. Furthermore, the topography was, until some years ago, quasi-static, however due to the alteration generated by human activities it has been transformed into a dynamic activity. This work presents the procedures to carry out a topographic survey in the Querétaro valley, in an area called “El Ensueño”, it has had a subsidence fault for years, and has been in constant movement, causing considerable damage to infrastructure. . The present study reveals for the first time an orthomosaic and a Digital Elevation Model (DEM) of the study site, for a survey with UAV it is necessary to use Ground Control Points (GCP), in order to correct the DEM by orthorectification of the images obtained during the flight by means of UAV. The results obtained show a total error in centimeters of 3.33 and image pixels in 0.311, both in the X, Y and Z space, which represent an acceptable error considering that the latter must be less than 0.6 pixels, so Therefore, the alignment of the images and measurement by GPS were performed correctly during the processing. Furthermore, the Digital Terrain Model (DTM) shows dramatic differences between one side and the other of the fault zone, which may indicate that this is a perfect tool to distinguish particular affected areas with a quick and more accurate method

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Rapid urban flood damage assessment using high resolution remote sensing data and an object-based approach

Jiménez-Jiménez¹,

Ojeda-Bustamante²,

Ontiveros-Capurata

et al. 2020

Geomatics, Natural Hazards and Risk

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Quantification of the error of digital terrain models derived from images acquired with UAV

Cited by 8 publications

References 0 publications

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

On the measure of land subsidence throughout DEM and orthomosaics using GPS and UAV

Rapid urban flood damage assessment using high resolution remote sensing data and an object-based approach

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