scholarly journals GERAÇÃO DE MODELO DIGITAL DO TERRENO E EXTRAÇÃO DE PARÂMETROS GEOMORFOMÉTRICOS A PARTIR DE DADOS COLETADOS POR AERONAVES REMOTAMENTE PILOTADAS

2019 ◽  
Vol 17 (02) ◽  
pp. 247-264
Author(s):  
Otacílio Lopes de Souza da Paz ◽  
Tony Vinicius Moreira Sampaio

A morfometria do relevo pode ser analisada pela extração de parâmetros geomorfométricos a partir de modelos digitais do terreno (MDT). MDT de alta resolução espacial pode ser obtido por aerolevantamento com aeronave remotamente pilotada (RPA). Objetiva-se gerar MDT a partir de aerolevantamento com RPA e analisar os parâmetros geomorfométricos extraídos. Foi realizado aerolevantamento com uma RPA modelo Phantom 4 Advanced em uma bacia de primeira ordem localizada a 3 km da cidade de Medianeira (oeste do Paraná). Os dados coletados foram processados no Agisoft PhotoScan 1.2.4. A nuvem de pontos gerada passou por filtragens e foi interpolada via krigagem no ArcGIS 10.1, resultando no MDT. Os parâmetros geomorfométricos foram extraídos no ArcGIS 10.1. A área de estudo apresenta em maior parte vertentes planar-retilíneas com declividade de até 5 graus e baixos valores de ITU. No vale do rio de primeira ordem, foram encontradas vertentes convergentes-côncavas marcadas por declividades de 5 a 9 graus, associado a altos valores de ITU. O MDT gerado permitiu a identificação de feições de detalhe observadas em campo. Conclui-se que dados coletados por RPA tem grande potencial para caracterização morfométrica em detalhe do relevo.   GENERATION OF DIGITAL TERRAIN MODEL AND EXTRACTION OF GEOMORPHOMETRIC PARAMETERS FROM DATA COLLECTED BY REMOTELY PILOT AIRCRAFT ABSTRACT The relief morphometry can be analyzed by the extraction of geomorphometric parameters from digital terrain models (MDT). High resolution MDT can be obtained by aero-surveys with remotely piloted aircraft (RPA). The objective is to generate MDT from aerial surveying with RPA and to analyze the extracted geomorphometric parameters. It was performed aerial survey with a RPA model Phantom 4 Advanced in a first order basin located 3 km from the city of Medianeira (western Paraná). The data collected was processed in Agisoft PhotoScan 1.2.4. The generated point cloud passed through filtering and was interpolated via kriging in ArcGIS 10.1, resulting in the MDT. The geomorphometric parameters were extracted in SAGA GIS 2.3.2. The study area presents mostly planar-rectilinear slopes with slopes of up to 5 degrees and low values of UTI. In the first-order river valley, convergent-concave slopes were found marked by slopes of 5 to 9 degrees, associated with high UTI values. The generated MDT allowed the identification of features observed in the field. In conclusion, that data collected by RPA has great potential for morphometric characterization in relief detail. Keywords: Geomorphology; Geomorphometry; Digital Relay Analysis; Topographical attributes.   GENERACIÓN DE MODELO DIGITAL DEL TERRENO Y EXTRACCIÓN DE PARÁMETROS GEOMORFOMÉTRICOS DE LOS DATOS RECOPILADOS POR LA AERONAVE PILOTO REMOTO RESUMEN  Se puede analizar la morfometría en relieve extrayendo parámetros geomorfométricos de los modelos digitales del terreno (MDT). El MDT de alta resolución espacial puede obtenerse mediante reconocimiento aéreo de aeronaves pilotadas a distancia (RPA). El objetivo es generar MDT a partir del levantamiento aéreo RPA y analizar los parámetros geomorfométricos extraídos. Se encuestó un modelo RPA Phantom 4 Advanced en una cuenca de primer orden ubicada a 3 km de la ciudad de Medianeira (oeste de Paraná). Los datos recopilados se procesaron en Agisoft PhotoScan 1.2.4. La nube de puntos generada se filtró y se interpoló a través de kriging en ArcGIS 10.1, lo que resultó en MDT. Los parámetros geomorfométricos se extrajeron en ArcGIS 10.1. El área de estudio tiene en su mayoría pendientes planas rectilíneas de hasta 5 grados y bajos valores de ITU. En el valle del río de primer orden, se encontraron pendientes cóncavas convergentes marcadas por pendientes de 5 a 9 grados, asociadas con altos valores de IU. Se concluye que los datos recopilados por RPA tienen un gran potencial para la caracterización morfométrica en detalle en relieve. Palabras-clave: Geomorfología; Geomorfometría; Análisis digital de socorro; Atributos topográficos.

2021 ◽  
pp. 22-29
Author(s):  
Dmitriy A. Roshchin

The problem of improving the accuracy of digital terrain models created for monitoring and diagnostics of the railway track and the surrounding area is considered. A technical solution to this problem is presented, which includes a method for joint aerial photography and laser scanning, as well as a method for digital processing of the obtained data. The relevance of using this solution is due to the existence of zones of weak reception of signals from the global navigation satellite system, since in these zones the accuracy of constructing digital terrain models using currently used diagnostic spatial scanning systems is reduced. The technical solution is based on the method of digital processing of aerial photographs of the railway track. In this case, as elements of external orientation, the threads of the rail track located at a normalized distance from each other are used. The use of this method made it possible to increase the accuracy of determining the flight path of an aircraft over railway tracks and, as a result, the accuracy of calculating the coordinates of points on the earth's surface. As a result, a digital terrain model was created that is suitable for diagnostics and monitoring the condition of the railway trackbed. During simulation modeling, it was found that the application of the proposed method allowed to reduce to 50 % the confidence interval of the distribution of the error in determining the coordinates of points on the terrain and increase the accuracy of forming a digital terrain model. This promising technical solution for improving the accuracy of digital terrain models for railway track diagnostics is implemented using unmanned aerial vehicles that are part of the mobile diagnostic complex. The advantages of the proposed solution include high efficiency and availability of application.


Author(s):  
J. Liu ◽  
X. Ren ◽  
L. Mu ◽  
F. Wang ◽  
W. Wang ◽  
...  

At 13:11 (GMT) December 14, 2013 Chang’e 3 (CE-3) successfully landed at 19.51° W, 44.12° N northwestern Mare Imbrium on the Moon, making it China's first planetary mission to land on a celestial body other than Earth. CE-3 explore comprises a lander and a rover. It carries eight scientific instruments onboard, including the descent camera on the lander, and the panoramic camera on the rover. These cameras imaged the topographic features around the landing site. This paper mainly presents the digital terrain model reconstruction techniques for the panoramic camera. Image pairs obtained during the first lunar day are used to reconstructed 3D Digital Terrain Models of 0.02 m resolution near observation points E and S3. The maps have been extensively used to support Yutu operations and strategic planning of the mission. The preliminary scientific exploration planning of the Yutu rover for the second lunar day has been made.


2021 ◽  
Vol 906 (1) ◽  
pp. 012075
Author(s):  
Dana Sitanyiova ◽  
Dasa Bacova ◽  
Robert Sasik ◽  
Frantisek Malik

Abstract Within the Digital Terrain Models (DTM) processing and consequently qualitative and quantitative analysis, it is possible to gain a credible imagination of real terrain shape. In order to obtain an appropriate DTM, it is necessary to decrease the influence of the gross errors that have negative effects on the final DTM. These gross errors may degrade and in the worst case also ruin the calculations and the final outputs. The gross errors have a greater impact and are harder to define in complicated terrain and pointing out these types of errors depends on the editor’s experiences and terrain knowledge.


Author(s):  
Oyunkhand Byamba ◽  
◽  
Elena L. Kasyanova ◽  

The development of science always depends on technological progress. Cartography is rapidly changing and developing with the introduction of new computer technologies, such as GIS and remote sensing of the Earth. Recently, there have been qualitatively new types of cartographic products, in particular 3D terrain models, which in cartography are becoming a universal, optimal and operational method for displaying terrain. The article discusses a method for creating a three-dimensional digital terrain model in the form of an irregular triangulation network based on SRTM data and GIS technology on the example of the Khenti aimag of Eastern Mongolia.


2020 ◽  
Author(s):  
Divya M Persaud ◽  
Robert Barnes ◽  
Yu Tao ◽  
Jan-Peter Muller

<p>3D terrain models from high-resolution orbital imagery, such as that from HiRISE and CTX, provide an opportunity to probe the geologic history of Gale Crater, Mars, and contextualise observations from the Mars Science Laboratory. 3D HiRISE datasets of a channel in Gale Crater are visualised in the Planetary Robotics 3D Viewer (PRo3D) [1]. Digitised measurements of layers exposed in the channel are extracted using this software and analysed to investigate the depositional history of the central mound.</p> <p>A 1-m HiRISE digital terrain model (DTM) was retrieved from University of Arizona Chicago [2] and co-registered to an 18-m CTX DTM, itself processed with CASP-GO [3] in [4], using the NASA Ames Stereo Pipeline [5]. This 3D dataset, in addition to a 25-cm HiRISE orthorectified image (ORI), was converted to the Ordered Point Cloud (OPC) format for visualisation in PRo3D.</p> <p>The 3D scene was then analysed in the PRo3D suite. This investigation includes identifying sets or “packages” of beds, their relationships (e.g. unconformities, repeated sequences, erosion), quantifying their geometries (package thickness, dip/strike), observation of how these relationships change vertically within a package and along the channel, and the generation of summary logs of these sequences. These data are compared (a) across the channel, (b) with a CRISM covering part of the channel, and (c) with depositional models of the central mound of Aeolis Mons, and implications are discussed.</p> <p>[1] Barnes, R., et al., ESS 5, 2018. [2] http://hirise.lpl.arizona.edu/ [3] Tao et al., PSS 154, 2018 [4] Persaud, D.M., et al., EPSC, abs. #1540, 2019. [5] Beyer, R., et al., ESS 5, 2018</p>


2012 ◽  
Vol 33 (2) ◽  
pp. 50-54 ◽  
Author(s):  
Birutė Ruzgienė ◽  
Edita Aleknienė

Up-to-date mapping technologies are in the middle of transition from analytical to digital. The usage of new methods and technologies implies the desire to increase mapping capability. Despite that, analytical and digital methods may be used simultaneously, thus getting more efficient results. The research objective is to present some aspects of functionality of both digital and analytical photogrammetric mapping approaches in generating 3D geodata. The experimental results show which of the two methods could lead to a more flexible mapping production in consideration of the following criteria: accuracy, flexibility, time and cost. The main result of investigations shows, that the orthophoto generation is successfully using fully automatic systems. The digital terrain models created by two technologies are almost the same due to time-consuming. Therefore more time is required for the Digital Photogrammetric System when the terrain is rougher. Despite the fact that digital photogrammetric mapping technology drastically develops, there is no doubt that analytical photogrammetry is still a significant production system for large‐scale mapping. The results demonstrate that there is not too much difference in accuracy between the analytical and the digital 14 μm pixel size images processing. The interpretation capability of experimental test area in the Digital Photogrammetric System was more complicated as it was by the analytical plotter. Two systems integrations have been foreseen. Digital terrain model obtained by the analytical plotter can be transferred to digital mapping system for orthophoto generation.


2017 ◽  
Vol 928 (10) ◽  
pp. 50-57
Author(s):  
N.E. Zharova ◽  
A.V. Bekenov ◽  
Aleksandr Chibunichev

Since the end of 2016 the imagery data from the Russian remote sensing satellites including Resurs-P spacecrafts have become commercially available in Russia, the CIS and far abroad. In this article we consider the possibility of automatic generation of digital terrain models using a stereo “fortuitous” image pair derived from two different Resurs-P spacecrafts. For the analysis we used two different date panchromatic images of the same area of Voronezh region in Russia. The images were obtained by the Geoton-L1 sensor of two different spacecrafts


Author(s):  
D. Wierzbicki ◽  
M. Kedzierski ◽  
A. Fryskowska

Over the past years a noticeable increase of interest in using Unmanned Aerial Vehicles (UAV) for acquiring low altitude images has been observed. This method creates new possibilities of using geodata captured from low altitudes to generate large scale orthophotos. Because of comparatively low costs, UAV aerial surveying systems find many applications in photogrammetry and remote sensing. One of the most significant problems with automation of processing of image data acquired with this method is its low accuracy. This paper presents the following stages of acquisition and processing of images collected in various weather and lighting conditions: aerotriangulation, generating of Digital Terrain Models (DTMs), orthorectification and mosaicking. In the research a compact, non-metric camera, mounted on a fuselage powered by an electric motor was used. The tested area covered flat, agricultural and woodland terrains. Aerotriangulation and point cloud accuracy as well as generated digital terrain model and mosaic exactness were examined. Dense multiple image matching was used as a benchmark. The processing and analysis were carried out with INPHO UASMaster programme. Based on performed accuracy analysis it was stated that images acquired in poor weather conditions (cloudy, precipitation) degrade the final quality and accuracy of a photogrammetric product by an average of 25%.


2010 ◽  
Vol 40 (4) ◽  
pp. 323-350 ◽  
Author(s):  
Pavol Zahorec ◽  
Roman Pašteka ◽  
Juraj Papčo

The estimation of errors in calculated terrain corrections in the Tatra Mountains In general, calculation of terrain corrections can be a substantial source of errors in evaluating Bouguer anomalies, especially in rugged mountainous areas like the Tatra Mountains where we also get the largest values of the terrain corrections as such. It is then natural that analysis of their calculations in this area can shed light on the magnitude of correction-related errors within the whole Slovak territory. In the framework of our analysis we have estimated the effect of different computing approaches as well as the influence of accuracy of the inputs, i.e. the heights and positions of the measuring points, together with the used digital terrain models. For the sake of testing the computer programs which are currently in use, we have also substituted the real terrain by synthetic topography. We found that among the concerned constituents the most important factor is the used digital terrain model and its accuracy. The possible model-caused errors can exceed 10 mGal in the Tatra Mountains (for the density of 2.67 g.cm-3).


2015 ◽  
Vol 23 (1) ◽  
Author(s):  
S. Lagüela ◽  
L. Díaz−Vilariño ◽  
D. Roca ◽  
H. Lorenzo

AbstractAerial thermography is performed from a low−cost aerial vehicle, copter type, for the acquisition of data of medium−size areas, such as neighbourhoods, districts or small villages. Thermographic images are registered in a mosaic subsequently used for the generation of a thermographic digital terrain model (DTM). The thermographic DTM can be used with several purposes, from classification of land uses according to their thermal response to the evaluation of the building prints as a function of their energy performance, land and water management. In the particular case of buildings, apart from their individual evaluation and roof inspection, the availability of thermographic information on a DTM allows for the spatial contextualization of the buildings themselves and the general study of the surrounding area for the detection of global effects such as heat islands.


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