Google Earth Revisited

2020 ◽  
pp. 41-55
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Olga Georgoula
Keyword(s):  
Digital Terrain Model ◽  
Google Earth ◽  
Aerial Photographs ◽  
Research Activity ◽  
Ongoing Research ◽  
Terrain Model ◽  
Digital Terrain ◽  
The City ◽  
Source Of Information ◽  
Ongoing Research Activity

The interpretation of photos and the processing of Google Earth imagery that allowed the “random” discovery as a result of a non-systematical research of numerous marks of buried constructions in the wide area of the city of Larisa (Thessaly, Greece) is presented in this chapter. Additional data as aerial photographs over time, satellite images and the digital terrain model of the same area has been used. From the numerous marks, this chapter mainly focuses on three positions where the positive marks (soil marks or/and crop marks), circular or/and linear, reveal on a satisfying level covered construction of great dimensions. The ongoing research activity of the research team along with this research highlights the advantages of using Google Earth imagery in an attempt to “random” mark of unknown covered constructions, or, in the frame of a systematic survey of aerial and remote sensing archaeology, as additional and not exclusive source of information.

Google Earth Revisited

2017 ◽  
Vol 1 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Olga Georgoula
Keyword(s):  
Digital Terrain Model ◽  
Google Earth ◽  
Aerial Photographs ◽  
Editorial Team ◽  
Research Activity ◽  
Ongoing Research ◽  
Terrain Model ◽  
Digital Terrain ◽  
The City ◽  
Ongoing Research Activity

The interpretation of photos and the processing of Google Earth imagery which allowed the “random” discovery, as a result of a non-systematical research, of a numerous marks of buried constructions in the wide area of the city of Larisa (Thessaly, Greece) is presented in this project. Additional data as aerial photographs over time, satellite images and the digital terrain model of the same area has been used. From the numerous marks, this project mainly focuses on three positions where the positive marks (soilmarks or/and cropmarks), circular or/and linear, reveal on a satisfying level covered construction of great dimensions. The ongoing research activity of the editorial team along with this research highlights the advantages of using Google Earth imagery in an attempt to “random” mark of unknown covered constructions, or, in the frame of a systematic survey of aerial and remote sensing archaeology, as additional and not exclusive source of information.

Google Earth Revisited

2019 ◽  
pp. 724-735
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Olga Georgoula
Keyword(s):  
Digital Terrain Model ◽  
Google Earth ◽  
Aerial Photographs ◽  
Editorial Team ◽  
Research Activity ◽  
Ongoing Research ◽  
Terrain Model ◽  
Digital Terrain ◽  
The City ◽  
Source Of Information

The interpretation of photos and the processing of Google Earth imagery which allowed the “random” discovery, as a result of a non-systematical research, of a numerous marks of buried constructions in the wide area of the city of Larisa (Thessaly, Greece) is presented in this project. Additional data as aerial photographs over time, satellite images and the digital terrain model of the same area has been used. From the numerous marks, this project mainly focuses on three positions where the positive marks (soilmarks or/and cropmarks), circular or/and linear, reveal on a satisfying level covered construction of great dimensions. The ongoing research activity of the editorial team along with this research highlights the advantages of using Google Earth imagery in an attempt to “random” mark of unknown covered constructions, or, in the frame of a systematic survey of aerial and remote sensing archaeology, as additional and not exclusive source of information.

scholarly journals Dinamiche fluviali e condizionamenti insediativi nel paesaggio di pianura tra la Laguna di Venezia e il fiume Po

2021 ◽  
Author(s):  
Elisa Corrò ◽  
Silvia Piovan ◽  
Sandra Primon ◽  
Paolo Mozzi
Keyword(s):  
Environmental Changes ◽  
Digital Terrain Model ◽  
Venice Lagoon ◽  
Aerial Photographs ◽  
Terrain Model ◽  
Digital Terrain ◽  
Southern Border ◽  
The Village ◽  
The City

The study area focuses on three cases of study in the Veneto Region: the city of Adria, the village of Pettorazza Grimani, both located in the Rovigo Area, and the Sant’Ilario community in the Mira District on the southern border of the Venice Lagoon. The multidisciplinary approach (archaeological, geological, geographical and historical) used in the geoarchaeological research discussed in this paper is based on the study of written sources, historical cartography, aerial photographs, digital terrain model, archaeological and geological data. The analysis highlights the interaction between anthropic and environmental changes realised during centuries and the key role of the hydrography in constraining land use dynamics in the landscapes of plain.

The Map of Altinum, Ancestor of Venice

Science ◽  
2009 ◽  
Vol 325 (5940) ◽  
pp. 577-577 ◽  
Author(s):  
Andrea Ninfo ◽  
Alessandro Fontana ◽  
Paolo Mozzi ◽  
Francesco Ferrarese
Keyword(s):  
Complex Network ◽  
Near Infrared ◽  
Digital Terrain Model ◽  
Aerial Photographs ◽  
Street Network ◽  
Terrain Model ◽  
Digital Terrain ◽  
Dry Conditions ◽  
City Walls ◽  
The City

Processing and interpretation of July 2007 digital visible and near-infrared aerial photographs, coupled by a digital terrain model, has allowed for detailed reconstruction of the topography and the paleoenvironmental setting of the Roman city of Altinum, shedding new light on the far origins of Venice. Images were taken during severe dry conditions, which stressed the maize and soy crops. The city walls and doors, the street network, dwellings, theaters, amphitheater, forum, emporia, basilica, and a complex network of rivers and canals have been mapped.

Improving the accuracy of forming a digital terrain model along the railway

2021 ◽  
pp. 22-29
Author(s):  
Dmitriy A. Roshchin
Keyword(s):  
High Efficiency ◽  
Digital Terrain Model ◽  
Digital Processing ◽  
Aerial Photographs ◽  
Railway Track ◽  
Technical Solution ◽  
Digital Terrain Models ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Models

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.

Geoinformation Assessment and Mapping of Dynamics of the Urbanized Territory of Ulan-Ude City

2020 ◽  
pp. 44-50
Author(s):  
E.E. Kuklina ◽  
K.I. Kalashnikov ◽  
N.D. Baldanov ◽  
A.N. Beshentsev
Keyword(s):  
Digital Terrain Model ◽  
Residential Development ◽  
Nature Management ◽  
Large Cities ◽  
Terrain Model ◽  
Advantages And Disadvantages ◽  
Digital Terrain ◽  
Urbanized Territory ◽  
City Dynamics ◽  
The City

The article presents information about methods and technologies used in assessing the dynamics of urbanized territory, gives a brief description of them, and identifies advantages and disadvantages. The concept of geoinformation monitoring of an urbanized territory is formulated. To integrate heterogeneous and multiformat data and assess the dynamics of residential environmental management, a problem-oriented GIS for monitoring urbanized territories has been developed on the example of Ulan-Ude city (Republic of Buryatia). The functional structure of GIS, consisting of measuring, analytical and cartographic blocks, is presented, and the characteristics of each block are given. The planned basis of GIS is the topographic basis of three spatial levels: regional (1:200 000) for monitoring agglomerations and large cities; local (1:50 000, 1:100 000) to assess the dynamics of residential development of the territory; detailed (1:10 000, 1:25 000) to assess the dynamics of real estate and land plots. A digital terrain model is used as a high-altitude basis for the assessment of urbanized territories, which allows the assessment of morphometric parameters of the residential nature management system. The dynamics of the urbanized territory of Ulan-Ude was estimated using six time sections. The physical and geographical features of the urbanized territory development are determined, the map of the city dynamics for the entire period of residential development is compiled, and the forecast of the further development of the urbanized territory for background and local buildings is presented.

scholarly journals Analysis of the current state of unstable geomorphological structures with modern methods

2020 ◽  
Vol 13 (1) ◽  
pp. 195-199
Author(s):  
Vyacheslav V. Dolotov ◽  
Yuri N. Goryachkin ◽  
Andrey V. Dolotov
Keyword(s):  
Time Perspective ◽  
Digital Terrain Model ◽  
Aerial Photographs ◽  
Detailed Data ◽  
Terrain Model ◽  
Digital Terrain ◽  
Current State ◽  
The Status ◽  
The Mathematical Model

The paper gives results of the digitization of the status and spatial position of a cliff in the Western Crimea coastal zone. The modern equipment and methods accelerate the survey from the time perspective and improve the quality of the outcomes; namely a high precision GNSS receiver in RTK mode and PHANTOM-3 PRO copter. The digital terrain model was generated with used the Agisoft Photoscan software. The paper shows that the precision of the mathematical model of the relief constructed by aerial photographs provides more detailed data in comparison to those obtained in the field observations. Furthermore, aerial photography makes it possible to calculate the number of spatial characteristics of hazardous for surveying and latent natural objects out of reach for an on-location investigation. As a result, the very detailed data about current condition of dangerous cliff were obtained. The paper also evaluates the linear and volumetric characteristics of cleavages that are prone to collapse.

scholarly journals METHODS FOR THE UPDATE AND VERIFICATION OF FOREST SURFACE MODEL

2016 ◽  
Vol XLI-B4 ◽  
pp. 51-54
Author(s):  
M. Rybansky ◽  
M. Brenova ◽  
P. Zerzan ◽  
J. Simon ◽  
T. Mikita
Keyword(s):  
Laser Scanning ◽  
Digital Terrain Model ◽  
Geographic Location ◽  
Canopy Height ◽  
Aerial Photographs ◽  
Surface Model ◽  
Vegetation Growth ◽  
Terrain Model ◽  
Digital Terrain ◽  
Pulse Echo

The digital terrain model (DTM) represents the bare ground earth's surface without any objects like vegetation and buildings. In contrast to a DTM, Digital surface model (DSM) represents the earth's surface including all objects on it. The DTM mostly does not change as frequently as the DSM. The most important changes of the DSM are in the forest areas due to the vegetation growth. Using the LIDAR technology the canopy height model (CHM) is obtained by subtracting the DTM and the corresponding DSM. The DSM is calculated from the first pulse echo and DTM from the last pulse echo data. The main problem of the DSM and CHM data using is the actuality of the airborne laser scanning. <br><br> This paper describes the method of calculating the CHM and DSM data changes using the relations between the canopy height and age of trees. To get a present basic reference data model of the canopy height, the photogrammetric and trigonometric measurements of single trees were used. Comparing the heights of corresponding trees on the aerial photographs of various ages, the statistical sets of the tree growth rate were obtained. These statistical data and LIDAR data were compared with the growth curve of the spruce forest, which corresponds to a similar natural environment (soil quality, climate characteristics, geographic location, etc.) to get the updating characteristics.

scholarly journals Changes in a hydrographic network of the Słowiński National Park in terms of photogrammetric analyses

2017 ◽  
Vol 21 (4) ◽  
pp. 197-204
Author(s):  
Maciej Góraj ◽  
Marcin Kucharski ◽  
Krzysztof Karsznia ◽  
Izabela Karsznia ◽  
Jarosław Chormański
Keyword(s):  
Spatial Data ◽  
National Park ◽  
Laser Scanning ◽  
Digital Terrain Model ◽  
Aerial Photographs ◽  
Terrain Model ◽  
Digital Terrain ◽  
Protected Natural Area ◽  
Water Courses ◽  
Hydrographic Network

AbstractThe main objective of this study is to evaluate the changes in the hydrographic network of Słowiński National Park. The authors analysed the changes occurring in the drainage network due to limited maintenance in this legally protected natural area. To accomplish this task, elaborations prepared on the basis of aerial photographs were used: an orthophoto map from 1996, hyperspectral imaging from June 2015, and a digital terrain model based on airborne laser scanning (ALS) from June 2015. These spatial data resources enabled the digitisation of the water courses for which selected hydro-morphological features had been defined. As a result of analysing the differences of these features, a quality map was elaborated which was then subjected to interpretation, and the identified changes were quantified in detail.

Sign in / Sign up

Export Citation Format

Share Document