ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

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EISSN : 2194-9034
Current Publisher: Copernicus GmbH (10.5194)
Total articles ≅ 10,996
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Latest articles in this journal

S. A. Santos, N. V. Ribeiro
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 525-528; doi:10.5194/isprs-archives-xlii-3-w12-2020-525-2020

The Território Quilombola Kalunga de Goiás (TKG) was established by law nº. 11,409/GO, and was federally regularized as territory in 2009. Its total area covers three Municipalities of Goiás: Monte Alegre de Goiás, Teresina de Goiás and Cavalcante. There live remaining communities of quilombolas. The present work aims to evaluate the recurrence of fires in this Territory and in its surroundings, doing relationships between land use and land cover and burned areas. For this purpose, were used data generated from satellite images, made available in public databases, and procedures in GIS. During the annualized time, the frequency of fires was moderate. Grassland had the largest proportion of burned areas.
E. F. Berra,
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 267-272; doi:10.5194/isprs-archives-xlii-3-w12-2020-267-2020

Interest in Unnamed Aerial Vehicle (UAV)-sourced data and Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) photogrammetry has seen a dramatic expansion over the last decade, revolutionizing the fields of aerial remote sensing and mapping. This literature review provides a summary overview on the recent developments and applications of light-weight UAVs and on the widely-accepted SfM - MVS approach. Firstly, the advantages and limitations of UAV remote sensing systems are discussed, followed by an identification of the different UAV and miniaturised sensor models applied to numerous disciplines, showing the range of systems and sensor types utilised recently. Afterwards, a concise list of advantages and challenges of UAV SfM-MVS is provided and discussed. Overall, the accuracy and quality of the SfM-MVS-derived products (e.g. orthomosaics, digital surface model) depends on the quality of the UAV data set, characteristics of the study area and processing tools used. Continued development and investigation are necessary to better determine the quality, precision and accuracy of UAV SfM-MVS derived outputs.
I. E. Ayazli
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 85-88; doi:10.5194/isprs-archives-xliv-4-w3-2020-85-2020

Developments in information technologies (IT) allow to modelling dynamic and complex form of cities and several studies have been implemented since 1990s. The cellular automata based urban growth simulation model, SLEUTH is the most well-known one among the simulation models. Calibration is the most important stage of the model created in three stages such as test, calibration, prediction. The more precise the calibration is completed, the more accurate the model generates. Several methods have been developed for the calibration step in which growth coefficients values are calculated by metrics. The study aims to investigate success of the Total Exploratory Factor Analysis (T-EFA) technique, which provides using the 13 metrics all together, in rapid grown settlement areas using high resolution data. In this context, the Sancaktepe district of Istanbul was selected as the study area and a simulation model was generated for the year 2050. The obtained results are promising to apply the T-EFA method in different studies.
Z. Uçar, A. E. Akay, E. Bilici
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 399-403; doi:10.5194/isprs-archives-xliv-4-w3-2020-399-2020

More than half of the total world’s population lives in urban areas, and it is expected that 66% of all them will live in urban areas by 2050. The population growth and continuing urbanization in the world cause many social, economic, technical, and organizational problems related to transportation, businesses, communication networks, services, and utilities that can risk the cities’ economic and environmental sustainability. Recently, a smart city concept has been developed to provide a solution to improve citizens’ quality of life in urban areas with the adoption of smart and digital technologies and infrastructure for energy, water, mobility, buildings, and government. The smart city concept considers “zero vision” that refers to the use of smart city technologies, Information and Communication Technologies (ICTs) and Internet of Things (IoT) tools, to minimize negative impacts (i.e., zero traffic accident, zero CO2 emission, zero waste, zero crime) in the cities. However, the research in this zero-vision approach mainly focused on transportation and energy. Urban forestry and urban vegetated areas in the cities inherently provide benefits such as reducing air pollution, urban heat island effects, and flood risk and increasing the water quality, aesthetic value, and value of the property that improve citizens’ quality of life. The smart city concept switched towards to sustainable smart city concept that takes into account the services provided by urban forestry and urban vegetation. In this study, the shifts in the smart city concept towards the sustainable smart city, the role of the urban forestry and urban vegetation in this shift was presented. Also, ICTs and IoT tools specifically designed for monitoring, assessing, and managing urban forestry and urban vegetation was reviewed.
Z. Wu, H. Wang, W. Yu, J. Xi, W. Lei, T. Tang
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 421-426; doi:10.5194/isprs-archives-xliv-4-w3-2020-421-2020

Constructing the transmission tower from LiDAR point clouds is a fundamental step for smart grid. However, currently the transmission tower construction method relies heavily on manual editing, which is far from the practical industrial application. This paper proposes a model-driven based method to realize 3D construction of transmission tower fast and accurately. This method first generates different types of 3D tower models. Then, it calculates the direction characteristic of point clouds distribution using the obtained transmission towers point clouds. While finding the principal direction of transmission towers, the local coordinates of the transmission towers are settled. And then the key points are captured in a semi-automatically way. According to these key points, the transmission tower model that best matches the point clouds is selected using the model matching algorithm. Comparing with the existing traditional manual editing methods, the method proposed in this paper can ensure the integrity and accuracy of the reconstructed tower model using the model-driven based strategy. The proposed method makes a trade-off between manual editing and efficiency, which guarantees the quality of tower modelling. And the feasibility and practicability of the proposed method are verified by the experiments on real-world point clouds data.
M. Ameksa, H. Mousannif, H. Al Moatassime, Z. Elamrani Abou Elassad
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 33-43; doi:10.5194/isprs-archives-xliv-4-w3-2020-33-2020

Recently, driving behavior has been the focus of several researchers and scientists, they are attempting to identify and analyze driving behavior using different sources of data. The purpose of this research is to investigate data acquisition methods and tools related to driving behavior, in addition to the type of data acquired. Using a systematic literature review strategy, this study identified tools and techniques used to collect data related to driving behavior among 120 selected studies from 2010 to 2020 in several literature resources. It then measured the percentages of the most commonly used methods, as well as the type of data collected. In-vehicle and IoT sensors was found to play the greatest role in data collection in approximately 67% of the documents selected studies; And concerning the type of data acquired, those relating to the vehicle are the most widely collected. Thus, this study definitively answers the question regarding the different data sources and data types used among researches. However, further studies are needed to give more attention to the driver's data and also to investigate the data from the three dimensions of driving (driver, vehicle, and environment) together as an integrated and interconnected system.
K. Alpan, B. Sekeroglu
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 21-27; doi:10.5194/isprs-archives-xliv-4-w3-2020-21-2020

Air pollution, which is one of the biggest problems created by the developing world, reaches severe levels, especially in urban areas. Weather stations established at certain points in countries regularly obtain data and inform people about air quality. In Smart City applications, it is aimed to perform this process with higher speed and accuracy by collecting data with thousands of sensors based on the Internet of Things. At this stage, artificial intelligence and machine learning plays a vital role in analyzing the data to be obtained. In this study, six pollutant concentrations; particulate matters (PM2.5 and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), Ozone (O3), and carbon monoxide (CO), were predicted using three basic machine learning algorithms, namely, random forest, decision tree and support vector regression, by considering only meteorological data. Experiments on two different datasets showed that the random forest has a high prediction capacity (R2: 0.74–0.86), and high-accuracy predictions can be performed on pollutant concentrations using only meteorological data. This and further studies based on meteorological data would help to reduce the number of devices in Smart City applications and will make it more cost-effective.
B. Anbaroğlu, I. B. Coşkun, H. H. Gürler
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 53-60; doi:10.5194/isprs-archives-xliv-4-w3-2020-53-2020

This paper investigates the use of Augmented Reality (AR) in pedestrian wayfinding in two aspects. First, an experiment was conducted to understand whether an AR-based mobile platform improves finding the direction of a query destination compared to a paper map. A total of 54 participants were enrolled to represent each group, in which the task was to show the direction of a query point-of-interest (POI). The experiments were carried out at the Beytepe Campus of Hacettepe University. The results suggest that AR-based platform significantly improves the task completion time compared to a paper map. Second, an online questionnaire was conducted to understand the preference of participants in terms of visualising the distances of POIs on an AR-based platform. Four different methods were utilised which vary the colour and size of a POI depending on its distance to the user. The results suggest that the majority of the participants preferred visualising POIs with the same colour but with different sizes depending on their distance to the user. This finding adds further support to the default visualisation adopted in Mapbox, the technology that was used to develop the AR-based platform.
N. Azginoglu
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 95-98; doi:10.5194/isprs-archives-xliv-4-w3-2020-95-2020

Servers are systems that set up to run for years, but it may be necessary to migrate to a new, better server when they have completed their lifetime or become inadequate. In this study, the open-source iRedMail e-mail server has been successfully migrated to another high-capacity physical server which uses an open-source CentOS operation system. Migration is a process that every step has to be very well planned. However, although planning is well done, unexpected errors may occur. For this reason, it is also essential to choose migration time. The experience gained as a result of the study is a guide for the new ones.
Z. Edrees
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 195-202; doi:10.5194/isprs-archives-xliv-4-w3-2020-195-2020

In this paper we made analysis for the stack overflow tags by using different criteria's in network science, one of the advantages of network analysis is that complex of connections can be made cleared, we started this work in first step by extracted data from dataset after that applied network concepts node degree distribution, node importance (centrality measures), also we provided a brief demonstration of how we can use graph network and tools to analyze semi-structured text as (Tags).
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