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来源机构: 《遥感》
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发布日期: Sep 25, 2021
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Barbara ?abota

Basic Info . 0000-0002-3167-8880 Research Keywords & Expertise . 0 Forestry 0 GIS 0 Natural Hazards 0 UAV remote sensing 0 Rockfalls Honors and Awards . The user has no records in this section Career Timeline . The user has no records in this section. Short Biography . MSc in Geography, doing PhD in Management of forest ecosystems. Research interest in UAV remote sensing of rockfalls and their impact on forest. Read more Following Followers Co-Authors The list of users this user is following is empty. Following: 0 users The user has no followers. Followers: 0 users Milan Kobal Department of Forestry and F... Matja? Miko? Faculty of Civil and Geodeti... Co-Authors: 2 users View all Feed . Journal article Accuracy Assessment of UAV-Photogrammetric-Derived Products Using PPK and GCPs in Challenging Terrains: In Search of Optimized Rockfall Mapping Barbara ?abota Milan Kobal https://doi.org/10.3390/rs13193812 Published: 23 September 2021 in Remote Sensing . Reads? 0 Downloads? 0 Abstract Cite All recommendations Unmanned aerial photogrammetric surveys are increasingly being used for mapping and studying natural hazards, such as rockfalls. Surveys using unmanned aerial vehicles (UAVs) can be performed in remote, hardly accessible, and dangerous areas, while the photogrammetric-derived products, with high spatial and temporal accuracy, can provide us with detailed information about phenomena under consideration. However, as photogrammetry commonly uses indirect georeferencing through bundle block adjustment (BBA) with ground control points (GCPs), data acquisition in the field is not only time-consuming and labor-intensive, but also extremely dangerous. Therefore, the main goal of this study was to investigate how accurate photogrammetric products can be produced by using BBA without GCPs and auxiliary data, namely using the coordinates X 0 , Y 0 and Z 0 of the camera perspective centers computed with PPK (Post-Processing Kinematic). To this end, orthomosaics and digital surface models (DSMs) were produced for three rockfall sites by using images acquired with a DJI Phantom 4 RTK and the two different BBA methods mentioned above (hereafter referred to as BBA_traditional and BBA_PPK). The accuracy of the products, in terms of the Root Mean Square Error (RMSE), was computed by using verification points (VPs). The accuracy of both BBA methods was also assessed. To test the differences between the georeferencing methods, two statistical test were used, namely a paired Student’s t -test, and a non-parametric Wilcoxon signed-rank. The results show that the accuracy of the BBA_PPK is inferior to that of BBA_traditional, with the total RMSE values for the three sites being 0.056, 0.066, and 0.305 m, respectively, compared to 0.019, 0.036 and 0.014 m obtained with BBA_traditional. The accuracies of the BBA methods are reflected in the accuracy of the orthomosaics, whose values for the BBA_PPK are 0.039, 0.043 and 0.157 m, respectively, against 0.029, 0.036 and 0.020 m obtained with the BBA_traditional. Concerning the DSM, those produced with the BBA_PPK method present accuracy values of 0.065, 0.072 and 0.261 m, respectively, against 0.038, 0.060 and 0.030 m obtained with the BBA_traditional. Even though that there are statistically significant differences between the georeferencing methods, one can state that the BBA_PPK presents a viable solution to map dangerous and exposed areas, such as rockfall transit and deposit areas, especially for applications at a regional level. ACS Style Barbara ?abota; Milan Kobal. Accuracy Assessment of UAV-Photogrammetric-Derived Products Using PPK and GCPs in Challenging Terrains: In Search of Optimized Rockfall Mapping. Remote Sensing 2021 , 13 , 3812 . AMA Style Barbara ?abota, Milan Kobal. Accuracy Assessment of UAV-Photogrammetric-Derived Products Using PPK and GCPs in Challenging Terrains: In Search of Optimized Rockfall Mapping. Remote Sensing. 2021; 13 (19):3812. Chicago/Turabian Style Barbara ?abota; Milan Kobal. 2021. "Accuracy Assessment of UAV-Photogrammetric-Derived Products Using PPK and GCPs in Challenging Terrains: In Search of Optimized Rockfall Mapping." Remote Sensing 13, no. 19: 3812. Journal article Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size Barbara ?abota Matja? Miko? Milan Kobal https://doi.org/10.3390/app11041461 Published: 05 February 2021 in Applied Sciences . Reads? 0 Downloads? 0 Abstract Cite All recommendations This article examines how digital terrain model (DTM) grid cell size influences rockfall modelling using a probabilistic process-based model, Rockyfor3D, while taking into account the effect of forest on rockfall propagation and runout area. Two rockfall sites in the Trenta valley, NW Slovenia, were chosen as a case study. The analysis included DTM square grid cell sizes of 1, 2, 5, and 10 m, which were extracted from LiDAR data. In the paper, we compared results of rockfall propagation and runout areas, maximum kinetic energy, and maximum passing height between different grid cell sizes and forest/no forest scenario, namely by using goodness-of-fit indices (average index, success index, distance to the perfect classification, true skill statistics). The results show that the accuracy of the modelled shape of rockfall propagation and runout area decreases with larger DTM grid cell sizes. The forest has the important effect of reducing the rockfall propagation only at DTM1 and DTM2 and only if the distance between the source area and forest is large enough. Higher deviations of the maximum kinetic energy are present at DTMs with larger grid cell size, while differences are smaller at more DTMs with smaller grid cell sizes. Maximum passing height varies the most at DTM1 in the forest scenario, while at other DTMs, it does not experience larger deviations in the two scenarios. ACS Style Barbara ?abota; Matja? Miko?; Milan Kobal. Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size. Applied Sciences 2021 , 11 , 1461 . AMA Style Barbara ?abota, Matja? Miko?, Milan Kobal. Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size. Applied Sciences. 2021; 11 (4):1461. Chicago/Turabian Style Barbara ?abota; Matja? Miko?; Milan Kobal. 2021. "Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size." Applied Sciences 11, no. 4: 1461. Journal article A New Methodology for Mapping Past Rockfall Events: From Mobile Crowdsourcing to Rockfall Simulation Validation Barbara ?abota Milan Kobal https://doi.org/10.3390/ijgi9090514 Published: 25 August 2020 in ISPRS International Journal of Geo-Information . Reads? 0 Downloads? 0 Abstract Cite All recommendations Rockfalls are one of the most common natural hazards in mountainous areas that pose high risk to people and their activities. Rockfall risk assessment is commonly performed with the use of models that can simulate the potential rockfall source, propagation and runout areas. The quality of the models can be improved by collecting data on past rockfall events. Mobile crowdsourcing is becoming a common approach for collecting field data by using smartphones, the main advantages of which are the use of a harmonised protocol, and the possibility of creating large datasets due to the simultaneous use by multiple users. This paper presents a new methodology for collecting past rockfall events with a mobile application, where the locations and attributes of rockfall source areas and rockfall deposits are collected, and the data are stored in an online database which can be accessed via the WebGIS platform. The methodology also presents an approach for calculating an actual source location based on viewshed analysis which greatly reduces the problem of field mapping of inaccessible source areas. Additionally, we present a rockfall database in the Alpine Space that has been created by the presented methodology, and an application of collected data for the calibration and validation of two rockfall models (CONEFALL and Rockyfor3D). ACS Style Barbara ?abota; Milan Kobal. A New Methodology for Mapping Past Rockfall Events: From Mobile Crowdsourcing to Rockfall Simulation Validation. ISPRS International Journal of Geo-Information 2020 , 9 , 514 . AMA Style Barbara ?abota, Milan Kobal. A New Methodology for Mapping Past Rockfall Events: From Mobile Crowdsourcing to Rockfall Simulation Validation. ISPRS International Journal of Geo-Information. 2020; 9 (9):514. Chicago/Turabian Style Barbara ?abota; Milan Kobal. 2020. "A New Methodology for Mapping Past Rockfall Events: From Mobile Crowdsourcing to Rockfall Simulation Validation." ISPRS International Journal of Geo-Information 9, no. 9: 514. .

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