Digital Elevation Models of the Moon from Earth-Based Radar Interferometry Jean-Luc Margot, Donald B
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The Surrender Software
Scientific image rendering for space scenes with the SurRender software Scientific image rendering for space scenes with the SurRender software R. Brochard, J. Lebreton*, C. Robin, K. Kanani, G. Jonniaux, A. Masson, N. Despré, A. Berjaoui Airbus Defence and Space, 31 rue des Cosmonautes, 31402 Toulouse Cedex, France [email protected] *Corresponding Author Abstract The autonomy of spacecrafts can advantageously be enhanced by vision-based navigation (VBN) techniques. Applications range from manoeuvers around Solar System objects and landing on planetary surfaces, to in -orbit servicing or space debris removal, and even ground imaging. The development and validation of VBN algorithms for space exploration missions relies on the availability of physically accurate relevant images. Yet archival data from past missions can rarely serve this purpose and acquiring new data is often costly. Airbus has developed the image rendering software SurRender, which addresses the specific challenges of realistic image simulation with high level of representativeness for space scenes. In this paper we introduce the software SurRender and how its unique capabilities have proved successful for a variety of applications. Images are rendered by raytracing, which implements the physical principles of geometrical light propagation. Images are rendered in physical units using a macroscopic instrument model and scene objects reflectance functions. It is specially optimized for space scenes, with huge distances between objects and scenes up to Solar System size. Raytracing conveniently tackles some important effects for VBN algorithms: image quality, eclipses, secondary illumination, subpixel limb imaging, etc. From a user standpoint, a simulation is easily setup using the available interfaces (MATLAB/Simulink, Python, and more) by specifying the position of the bodies (Sun, planets, satellites, …) over time, complex 3D shapes and material surface properties, before positioning the camera. -
Hirise Digital Elevation Model of Phobos: Implications for Morphological Analysis of Grooves
50th Lunar and Planetary Science Conference 2019 (LPI Contrib. No. 2132) 1759.pdf HIRISE DIGITAL ELEVATION MODEL OF PHOBOS: IMPLICATIONS FOR MORPHOLOGICAL ANALYSIS OF GROOVES. R. Hemmi1 and H. Miyamoto2, 1The University Museum, The University of Tokyo (7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan, [email protected]), 2Depatment of Systems Inno- vation, School of Engineering, The University of Tokyo Introduction: Linear narrow depressions common- ly known as “grooves,” can be observed on a variety of small bodies including Phobos, Gaspra, Ida, Eros, and small saturnian satellites [1]. Characteristics of grooves may reflect geological events, inherent in individual bodies. The surface of Phobos is mostly covered by grooves many of which are less than ~1 km wide. It remains controversial whether their morphologies rep- resent past internal (e.g., tidal disruption [2]) or exter- nal processes (e.g., crater chains [3,4], rolling boulders [5], etc.). The presence of raised rims on grooves is an important diagnostic of impact cratering processes as opposed to extensional stress which would form rim- less depressions [6]. Groove rims were previously identified from images [6–8]; however, their detailed topographies have not been well investigated. This is primarily due to limited spatial resolutions of previous digital terrain models (up to 100 meters) which are similar to the widths of target features (a few hundreds Fig. 1. HiRISE stereo pair images of Phobos (upper of meters). In this study, we produce a digital elevation images) and a part of HRSC global orthomosaic (lower model (DEM) from Mars Reconnaissance Orbiter’s image) with ground control points (magenta crosses). -
Parameters Derived from And/Or Used with Digital Elevation Models (Dems) for Landslide Susceptibility Mapping and Landslide Risk Assessment: a Review
International Journal of Geo-Information Review Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review Nayyer Saleem * , Md. Enamul Huq , Nana Yaw Danquah Twumasi, Akib Javed and Asif Sajjad State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China; [email protected] (M.E.H.); [email protected] (N.Y.D.T.); [email protected] (A.J.); [email protected] (A.S.) * Correspondence: [email protected]; Tel.: +86-131-6411-7422 Received: 15 September 2019; Accepted: 27 November 2019; Published: 29 November 2019 Abstract: Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization applications; however, for applications related to topography, they are exploited mostly as a basic source of information. In the study of landslide susceptibility mapping, parameters or landslide conditioning factors are deduced from the information related to DEMs, especially elevation. In this paper conditioning factors related with topography are analyzed and the impact of resolution and accuracy of DEMs on these factors is discussed. Previously conducted research on landslide susceptibility mapping using these factors or parameters through exploiting different methods or models in the last two decades is reviewed, and modern trends in this field are presented in a tabulated form. Two factors or parameters are proposed for inclusion in landslide inventory list as a conditioning factor and a risk assessment parameter for future studies. Keywords: digital elevation models (DEMs); landslide hazards; landslide susceptibility mapping; landslide conditioning factors; landslide risk assessment 1. -
A Physically-Based Night Sky Model Henrik Wann Jensen1 Fredo´ Durand2 Michael M
To appear in the SIGGRAPH conference proceedings A Physically-Based Night Sky Model Henrik Wann Jensen1 Fredo´ Durand2 Michael M. Stark3 Simon Premozeˇ 3 Julie Dorsey2 Peter Shirley3 1Stanford University 2Massachusetts Institute of Technology 3University of Utah Abstract 1 Introduction This paper presents a physically-based model of the night sky for In this paper, we present a physically-based model of the night sky realistic image synthesis. We model both the direct appearance for image synthesis, and demonstrate it in the context of a Monte of the night sky and the illumination coming from the Moon, the Carlo ray tracer. Our model includes the appearance and illumi- stars, the zodiacal light, and the atmosphere. To accurately predict nation of all significant sources of natural light in the night sky, the appearance of night scenes we use physically-based astronomi- except for rare or unpredictable phenomena such as aurora, comets, cal data, both for position and radiometry. The Moon is simulated and novas. as a geometric model illuminated by the Sun, using recently mea- The ability to render accurately the appearance of and illumi- sured elevation and albedo maps, as well as a specialized BRDF. nation from the night sky has a wide range of existing and poten- For visible stars, we include the position, magnitude, and temper- tial applications, including film, planetarium shows, drive and flight ature of the star, while for the Milky Way and other nebulae we simulators, and games. In addition, the night sky as a natural phe- use a processed photograph. Zodiacal light due to scattering in the nomenon of substantial visual interest is worthy of study simply for dust covering the solar system, galactic light, and airglow due to its intrinsic beauty. -
Comparative Analysis of Digital Elevation Models: a Case Study Around Madduleru River
Indian Journal of Geo Marine Sciences Vol. 46 (07), July 2017, pp. 1339-1351 Comparative analysis of digital elevation models: A case study around Madduleru River Subbu Lakshmi. E1 & Kiran Yarrakula2* Centre for Disaster Mitigation and Management, VIT University, Vellore, Pin 632014, India *[E-mail: [email protected]] Received 14 July 2016 ; revised 28 November 2016 High resolution DEM is generated from Cartosat-1 stereo data. The performance of different DEMs is evaluated based on error statistics. To identify the hill profiles, the TIN plots have generated and compared for SRTM, Cartosat -1, and SOI toposheet. The study divulges that, elevation values of Cartosat-1 DEM are better in flat terrain and SRTM images in hilly region produced better, when compared each other. [Keywords: Cartosat-1 DEM, SRTM-DEM, Google earth, Survey of India Toposheet, Accuracy Assessment, Digital elevation model] Introduction corresponding image points are identified in the Cartosat-1 DEM with 2.5m spatial particular stereo images In general, the accuracy resolution and vertical resolution 7.5m is intended of Cartosat-1 DEM seems to be fine in the flat to be used for generating DEM. The ground terrain which is helpful to interpret the land control points and geometric model are the features13. Past few years many scientists and essential components required for generating researchers have done a series of local and global DEM from stereo data1. DEM in variety of assessments of these elevation products. Many application such as land use land cover to analyze new technologies are giving opportunities for the spatio-temporal change on the river2&3, generating digital elevation models in remote cadastral mapping, to assess the vertical sensing to determine Earth surface elevation at characteristics of topographical variability of increasing resolution for larger areas14. -
AN ASSESSMENT of DIGITAL ELEVATION MODELS (Dems) from DIFFERENT SPATIAL DATA SOURCES
AN ASSESSMENT OF DIGITAL ELEVATION MODELS (DEMs) FROM DIFFERENT SPATIAL DATA SOURCES Olalekan Adekunle ISIOYE, Nigeria And JOBI N Paul, Nigeria Key words : Digital Elevation Model (DEM), Google Earth image, SRTM, spot height SUMMARY Digital Elevation Model (DEM) represents a very important geospatial data type in the analysis and modelling of different hydrological and ecological phenomenon which are required in preserving our immediate environment. DEMs are typically used to represent terrain relief. DEMs are particularly relevant for many applications such as lake and water volumes estimation, soil erosion volumes calculations, flood estimate, quantification of earth materials to be moved for channels, roads, dams, embankment etc. In this study, three different sources of spatial data in the generation of DEMs (Shuttle Radar Topography Mission SRTM 30, Digitized Topographical map and Google Earth Pro.) were compared with field measured data from Total Station Instrument, the field data were used to generate a Digital Elevation Models DEMs from 495 radial points over the test site. The accuracy of generated DEMs were assessed statistically by comparing (1) estimates of some topographic attributes(slope and aspect), (2)overall spot height estimation performance and, (3) independence of spot estimation errors and the magnitude of field measured height. From the results obtained it was concluded that the DEMs from the satellite imagery (SRTM 30) does not perform well in collecting data for topographic works. The digitized topographic map gives a good result but the variation from the reference in this study may be as a result of human activities and erosion that has occurred from when the topographic map was produced and also the quality of the topographic map. -
Airborne Lidar-Derived Digital Elevation Model for Archaeology
remote sensing Article Airborne LiDAR-Derived Digital Elevation Model for Archaeology Benjamin Štular 1,* , Edisa Lozi´c 1,2 and Stefan Eichert 3 1 Research Centre of the Slovenian Academy of Sciences and Arts, Novi trg 2, 1000 Ljubljana, Slovenia; [email protected] 2 Institute of Classics, University of Graz, Universitätsplatz 3/II, 8010 Graz, Austria 3 Natural History Museum Vienna, Burgring 7, 1010 Vienna, Austria; [email protected] * Correspondence: [email protected] Abstract: The use of topographic airborne LiDAR data has become an essential part of archaeological prospection, and the need for an archaeology-specific data processing workflow is well known. It is therefore surprising that little attention has been paid to the key element of processing: an archaeology-specific DEM. Accordingly, the aim of this paper is to describe an archaeology-specific DEM in detail, provide a tool for its automatic precision assessment, and determine the appropriate grid resolution. We define an archaeology-specific DEM as a subtype of DEM, which is interpolated from ground points, buildings, and four morphological types of archaeological features. We introduce a confidence map (QGIS plug-in) that assigns a confidence level to each grid cell. This is primarily used to attach a confidence level to each archaeological feature, which is useful for detecting data bias in archaeological interpretation. Confidence mapping is also an effective tool for identifying the optimal grid resolution for specific datasets. Beyond archaeological applications, the confidence map provides clear criteria for segmentation, which is one of the unsolved problems of DEM interpolation. -
Characterizing the Radio Quiet Region Behind the Lunar Farside for Low Radio Frequency Experiments
Characterizing the Radio Quiet Region Behind the Lunar Farside for Low Radio Frequency Experiments Neil Bassetta,∗, David Rapettia,b,c, Jack O. Burnsa, Keith Tauschera,d, Robert MacDowalle aCenter for Astrophysics and Space Astronomy, Department of Astrophysical and Planetary Science, University of Colorado, Boulder, CO 80309, USA bNASA Ames Research Center, Moffett Field, CA 94035, USA cResearch Institute for Advanced Computer Science, Universities Space Research Association, Mountain View, CA 94043, USA dDepartment of Physics, University of Colorado, Boulder, CO 80309, USA eNASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Abstract Low radio frequency experiments performed on Earth are contaminated by both ionospheric effects and radio frequency interference (RFI) from Earth-based sources. The lunar farside provides a unique environment above the ionosphere where RFI is heavily attenuated by the presence of the Moon. We present electrodynamics simulations of the propagation of radio waves around and through the Moon in order to characterize the level of attenuation on the farside. The simulations are performed for a range of frequencies up to 100 kHz, assuming a spherical lunar shape with an average, constant density. Additionally, we investigate the role of the topography and density profile of the Moon in the propagation of radio waves and find only small effects on the intensity of RFI. Due to the computational demands of performing simulations at higher frequencies, we propose a model for extrapolating the width of the quiet region above 100 kHz that also takes into account height above the lunar surface as well as the intensity threshold chosen to define the quiet region. -
How Is a Digital Elevation Model Made?
How is a digital elevation model made? The Earth Observation Center (EOC) provides value-added products derived from remote sensing data for use in science as well as trade and industry. These value added products also include digital elevation models (DEM) derived from radar data using SAR interferometry methodology. A digital terrain model (DTM) depicts the topographical surface of the ground. This can be contrasted to a digital elevation model (DEM), which also includes all the objects on that surface, such as vegetation and buildings. In contrast to the two-dimensional representations typical of aerial or satellite images and topographical maps, DEMs have the advantage that land surface altitude information is depicted in terms of elevation values for each pixel. With this z-value a three-dimensional representation and analysis of the surface in question becomes possible. Radar recording systems offer completely new possibilities to generate digital elevation models. Since they actively send out microwave signals they do not require an external light source, as do conventional optical recording systems which depend on sunlight. This means that data can be received independently of the time of day (or night). And because of the centimeter-range wavelengths utilized, the radiation can penetrate the atmosphere virtually uncorrupted, so radar systems can operate independently of the weather as well. This radar advantage is particularly useful for areas with high annual cloud coverage, such as near the equator. The three-dimensional orientation of a ground pixel cannot be unambiguously determined with only one radar image. Similar to stereo images, two images must be recorded from different positions and then combined. -
Remote Sensing of Terrestrial Impact Craters: the Tandem-X Digital Elevation Model
PostPrint Version: Meteoritics & Planetary Science, 52/7, 2017 Remote sensing of terrestrial impact craters: The TanDEM-X digital elevation model Manfred GOTTWALD1, Thomas FRITZ1, Helko BREIT1, Birgit SCHÄTTLER1, Alan HARRIS2 1Remote Sensing Technology Institute, German Aerospace Center, Oberpfaffenhofen, D-82234 Wessling, Germany 2Institute of Planetary Research, German Aerospace Center, Rutherfordstrasse 2, D-12489 Berlin, Germany ABSTRACT With the TanDEM-X digital elevation model (DEM) the terrestrial solid surface is globally mapped with unprecedented accuracy. TanDEM-X is a German X-band radar mission whose two identical satellites have been operated in single-pass interferometer configuration over several years. The acquired data are processed to yield a global DEM with 12 m independent posting and relative vertical accuracies of better than 2 m and 4 m in moderate and mountainous terrain, respectively. This DEM provides new opportunities for space-borne remote sensing studies of the entire sample of terrestrial impact craters. In addition, it represents an interesting repository to aid in the search for new impact crater candidates. We have used the TanDEM-X DEM to investigate the current set of confirmed impact structures. For a subsample of the craters, including small, mid-sized and large structures, we compared the results with those from other DEMs. This quantitative analysis demonstrates the excellent quality of the TanDEM-X elevation data. Our findings help to estimate what can be gained by using the TanDEM-X DEM in impact crater studies. They may also be beneficial for identifying regions and morphologies where the search for currently unknown impact structures might be most promising. INTRODUCTION Interplanetary spaceflight over the past 50 years has shown that impact craters are abundant on large and small solid bodies throughout the Solar System. -
Topographic Characterization of Lunar Complex Craters Jessica Kalynn,1 Catherine L
GEOPHYSICAL RESEARCH LETTERS, VOL. 40, 38–42, doi:10.1029/2012GL053608, 2013 Topographic characterization of lunar complex craters Jessica Kalynn,1 Catherine L. Johnson,1,2 Gordon R. Osinski,3 and Olivier Barnouin4 Received 20 August 2012; revised 19 November 2012; accepted 26 November 2012; published 16 January 2013. [1] We use Lunar Orbiter Laser Altimeter topography data [Baldwin 1963, 1965; Pike, 1974, 1980, 1981]. These studies to revisit the depth (d)-diameter (D), and central peak height yielded three main results. First, depth increases with diam- B (hcp)-diameter relationships for fresh complex lunar craters. eter and is described by a power law relationship, d =AD , We assembled a data set of young craters with D ≥ 15 km where A and B are constants determined by a linear least and ensured the craters were unmodified and fresh using squares fit of log(d) versus log(D). Second, a change in the Lunar Reconnaissance Orbiter Wide-Angle Camera images. d-D relationship is seen at diameters of ~15 km, roughly We used Lunar Orbiter Laser Altimeter gridded data to coincident with the morphological transition from simple to determine the rim-to-floor crater depths, as well as the height complex craters. Third, craters in the highlands are typically of the central peak above the crater floor. We established deeper than those formed in the mare at a given diameter. power-law d-D and hcp-D relationships for complex craters At larger spatial scales, Clementine [Williams and Zuber, on mare and highlands terrain. Our results indicate that 1998] and more recently, Lunar Orbiter Laser Altimeter craters on highland terrain are, on average, deeper and have (LOLA) [Baker et al., 2012] topography data indicate that higher central peaks than craters on mare terrain. -
Google Earth, Google Sketchup and GIS Software; an Interoperable Work Flow for Generating Elevation Data
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 30 January 2019 doi:10.20944/preprints201901.0302.v1 Google Earth, Google SketchUp and GIS software; An interoperable work flow for generating elevation data José Gomes Santos 1, *, Kevin Bento 2 and Joaquim Lourenço Txifunga 3 1 Department of Geography and Tourism – Faculty of Arts, University of Coimbra, Portugal; Centre for Studies in Geography and Regional Planning – CEGOT University of Coimbra, Coimbra 3004-530, Portugal; [email protected] 2 Department of Geography and Tourism – Faculty of Arts, University of Coimbra,; [email protected] 3 Department of Geography and Tourism – Faculty of Arts, University of Coimbra,; [email protected] * Correspondence: [email protected]; Tel.: +351 962609367 Abstract: Data creation is often the only way for researchers to produce basic geospatial information for the pursuit of more complex tasks and procedures such as those that lead to the production of new data for studies concerning river basins, slope morphodynamics, applied geomorphology and geology, urban and territorial planning, detailed studies, for example, in architecture and civil engineering, among others. This exercise results from a reflection where specific data processing tasks executed in Google Sketchup (Pro version, 2018) can be used in a context of interoperability with Geographical Information Systems (GIS) software. The focus is based on the production of contour lines and Digital Elevation Models (DEM) using an innovative sequence of tasks and procedures in both environments (GS and GIS). It starts in Google Sketchup (GS) graphic interface, with the selection of a satellite image referring to the study area – which can be anywhere on Earth's surface; subsequent processing steps lead to the production of elevation data at the selected scale and equidistance.