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Journal articles on the topic 'Geo-processing workflow'

Author: Grafiati

Published: 11 March 2023

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1

Schäffer, Bastian, and Theodor Foerster. "A client for distributed geo-processing and workflow design." Journal of Location Based Services 2, no. 3 (2008): 194–210. http://dx.doi.org/10.1080/17489720802558491.

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Chen, Nengcheng, Liping Di, Genong Yu, and Jianya Gong. "Geo-processing workflow driven wildfire hot pixel detection under sensor web environment." Computers & Geosciences 36, no. 3 (2010): 362–72. http://dx.doi.org/10.1016/j.cageo.2009.06.013.

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Lemmens, R., B. Toxopeus, L. Boerboom, et al. "IMPLEMENTATION OF A COMPREHENSIVE AND EFFECTIVE GEOPROCESSING WORKFLOW ENVIRONMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W8 (July 11, 2018): 123–27. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w8-123-2018.

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<p><strong>Abstract.</strong> Many projects and research efforts implement geo-information (GI) workflows, ranging from very basic ones to complicated software processing chains. The creation of these workflows normally needs considerable expertise and sharing them is often hampered by undocumented and non-interoperable geoprocessing implementations. We believe that the visual representation of workflows can help in the creation, sharing and understanding of software processing of geodata. In our efforts we aim at bridging abstract and concrete workflow representations for th

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Li, Chunlin, Jun Liu, Min Wang, and Youlong Luo. "Fault-tolerant scheduling and data placement for scientific workflow processing in geo-distributed clouds." Journal of Systems and Software 187 (May 2022): 111227. http://dx.doi.org/10.1016/j.jss.2022.111227.

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Chen, Nengcheng, Liping Di, Genong Yu, and Jianya Gong. "Automatic On-Demand Data Feed Service for AutoChem Based on Reusable Geo-Processing Workflow." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 3, no. 4 (2010): 418–26. http://dx.doi.org/10.1109/jstars.2010.2049094.

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Chen, Wuhui, Incheon Paik, and Patrick C. K. Hung. "Transformation-Based Streaming Workflow Allocation on Geo-Distributed Datacenters for Streaming Big Data Processing." IEEE Transactions on Services Computing 12, no. 4 (2019): 654–68. http://dx.doi.org/10.1109/tsc.2016.2614297.

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Toschi, I., E. Nocerino, F. Remondino, A. Revolti, G. Soria, and S. Piffer. "GEOSPATIAL DATA PROCESSING FOR 3D CITY MODEL GENERATION, MANAGEMENT AND VISUALIZATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 527–34. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-527-2017.

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Recent developments of 3D technologies and tools have increased availability and relevance of 3D data (from 3D points to complete city models) in the geospatial and geo-information domains. Nevertheless, the potential of 3D data is still underexploited and mainly confined to visualization purposes. Therefore, the major challenge today is to create automatic procedures that make best use of available technologies and data for the benefits and needs of public administrations (PA) and national mapping agencies (NMA) involved in “smart city” applications. The paper aims to demonstrate a step forwa

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Iacone, Brooke, Ginger R. H. Allington, and Ryan Engstrom. "A Methodology for Georeferencing and Mosaicking Corona Imagery in Semi-Arid Environments." Remote Sensing 14, no. 21 (2022): 5395. http://dx.doi.org/10.3390/rs14215395.

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High-resolution Corona imagery acquired by the United States through spy missions in the 1960s presents an opportunity to gain critical insight into historic land cover conditions and expand the timeline of available data for land cover change analyses, particularly in regions such as Northern China where data from that era are scarce. Corona imagery requires time-intensive pre-processing, and the existing literature lacks the necessary detail required to replicate these processes easily. This is particularly true in landscapes where dynamic physical processes, such as aeolian desertification,

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Lucas, G. "CONSIDERING TIME IN ORTHOPHOTOGRAPHY PRODUCTION: FROM A GENERAL WORKFLOW TO A SHORTENED WORKFLOW FOR A FASTER DISASTER RESPONSE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 249–55. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-249-2015.

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This article overall deals with production time with orthophoto imagery with medium size digital frame camera. The workflow examination follows two main parts: data acquisition and post-processing. The objectives of the research are fourfold: 1/ gathering time references for the most important steps of orthophoto production (it turned out that literature is missing on this topic); these figures are used later for total production time estimation; 2/ identifying levers for reducing orthophoto production time; 3/ building a simplified production workflow for emergency response: less exigent with

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Liakos, Leonidas, and Panos Panagos. "Challenges in the Geo-Processing of Big Soil Spatial Data." Land 11, no. 12 (2022): 2287. http://dx.doi.org/10.3390/land11122287.

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This study addressed a critical resource—soil—through the prism of processing big data at the continental scale. Rapid progress in technology and remote sensing has majorly improved data processing on extensive spatial and temporal scales. Here, the manuscript presents the results of a systematic effort to geo-process and analyze soil-relevant data. In addition, the main highlights include the difficulties associated with using data infrastructures, managing big geospatial data, decentralizing operations through remote access, mass processing, and automating the data-processing workflow using

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Stoter, Jantien, Vincent van Altena, Marc Post, Dirk Burghardt, and Cecile Duchêne. "AUTOMATED GENERALISATION WITHIN NMAs IN 2016." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 647–52. http://dx.doi.org/10.5194/isprs-archives-xli-b4-647-2016.

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Producing maps and geo-data at different scales is traditionally one of the main tasks of National (and regional) Mapping Agencies (NMAs). The derivation of low-scale maps (i.e. with less detail) from large-scale maps (with more detail), i.e. generalisation, used to be a manual task of cartographers. With the need for more up-to-date data as well as the development of automated generalisation solutions in both research and industry, NMAs are implementing automated generalisation production lines. To exchange experiences and identify remaining issues, a workshop was organised end 2015 by the Co

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Stoter, Jantien, Vincent van Altena, Marc Post, Dirk Burghardt, and Cecile Duchêne. "AUTOMATED GENERALISATION WITHIN NMAs IN 2016." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 647–52. http://dx.doi.org/10.5194/isprsarchives-xli-b4-647-2016.

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Producing maps and geo-data at different scales is traditionally one of the main tasks of National (and regional) Mapping Agencies (NMAs). The derivation of low-scale maps (i.e. with less detail) from large-scale maps (with more detail), i.e. generalisation, used to be a manual task of cartographers. With the need for more up-to-date data as well as the development of automated generalisation solutions in both research and industry, NMAs are implementing automated generalisation production lines. To exchange experiences and identify remaining issues, a workshop was organised end 2015 by the Co

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Tobak, Zalán, József Szatmári, and Boudewijn Van Leeuwen. "Small Format Aerial Photography." Journal of Environmental Geography 1, no. 3-4 (2008): 21–26. http://dx.doi.org/10.14232/jengeo-2008-43861.

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Since February 2008, an advanced system has been developed to acquire digital images in the visible to near infrared wavelengths. Using this system, it is possible to acquire data for a large variety of applications. The core of the system consists of a Duncantech MS3100 CIR (Color-InfraRed) multi-spectral camera. The main advantages of the system are its affordability and flexibility; within an hour the system can be deployed against very competitive costs. In several steps, using ArcGIS, Python and Avenue scripts, the raw data is semi-automatically processed into geo-referenced mosaics. This

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Peng, Li, Fei Fei Tang, Zhi Yue Zhou, Xing Liu, and Zhi Min Ruan. "Applying Lightweight UAV in Landslide Monitoring." Applied Mechanics and Materials 738-739 (March 2015): 738–45. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.738.

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With the advantages of small size, cost efficient, low noise, energy saving, fine definition and high current, UAV has been widely used in various fields such as military, agriculture, forestry,meteorology, environment, etc. Moreover, this technique can obtain large area, large angle and 3D surface information without shadows resulting from cloud cover which is the common shortage insatellite images, it is also widespread in geological hazards monitoring. In this article, the applications of hazards monitoring using UAV has been reviewed at first, then according to the needof landslide monitor

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Rumpler, M., S. Daftry, A. Tscharf, et al. "Automated End-to-End Workflow for Precise and Geo-accurate Reconstructions using Fiducial Markers." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3 (August 7, 2014): 135–42. http://dx.doi.org/10.5194/isprsannals-ii-3-135-2014.

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Photogrammetric computer vision systems have been well established in many scientific and commercial fields during the last decades. Recent developments in image-based 3D reconstruction systems in conjunction with the availability of affordable high quality digital consumer grade cameras have resulted in an easy way of creating visually appealing 3D models. However, many of these methods require manual steps in the processing chain and for many photogrammetric applications such as mapping, recurrent topographic surveys or architectural and archaeological 3D documentations, high accuracy in a g

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Wang, J., and R. Lindenbergh. "VALIDATING A WORKFLOW FOR TREE INVENTORY UPDATING WITH 3D POINT CLOUDS OBTAINED BY MOBILE LASER SCANNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 1163–68. http://dx.doi.org/10.5194/isprs-archives-xlii-2-1163-2018.

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Urban trees are an important component of our environment and ecosystem. Trees are able to combat climate change, clean the air and cool the streets and city. Tree inventory and monitoring are of great interest for biomass estimation and change monitoring. Conventionally, parameters of trees are manually measured and documented in situ, which is not efficient regarding labour and costs. Light Detection And Ranging (LiDAR) has become a well-established surveying technique for the acquisition of geo-spatial information. Combined with automatic point cloud processing techniques, this in principle

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Tavani, Stefano, Antonio Pignalosa, Amerigo Corradetti, et al. "Photogrammetric 3D Model via Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices." Remote Sensing 12, no. 21 (2020): 3616. http://dx.doi.org/10.3390/rs12213616.

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Geotagged smartphone photos can be employed to build digital terrain models using structure from motion-multiview stereo (SfM-MVS) photogrammetry. Accelerometer, magnetometer, and gyroscope sensors integrated within consumer-grade smartphones can be used to record the orientation of images, which can be combined with location information provided by inbuilt global navigation satellite system (GNSS) sensors to geo-register the SfM-MVS model. The accuracy of these sensors is, however, highly variable. In this work, we use a 200 m-wide natural rocky cliff as a test case to evaluate the impact of

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Tscharf, A., M. Rumpler, F. Fraundorfer, G. Mayer, and H. Bischof. "ON THE USE OF UAVS IN MINING AND ARCHAEOLOGY - GEO-ACCURATE 3D RECONSTRUCTIONS USING VARIOUS PLATFORMS AND TERRESTRIAL VIEWS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-1/W1 (August 27, 2015): 15–22. http://dx.doi.org/10.5194/isprsannals-ii-1-w1-15-2015.

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During the last decades photogrammetric computer vision systems have been well established in scientific and commercial applications. Especially the increasing affordability of unmanned aerial vehicles (UAVs) in conjunction with automated multi-view processing pipelines have resulted in an easy way of acquiring spatial data and creating realistic and accurate 3D models. With the use of multicopter UAVs, it is possible to record highly overlapping images from almost terrestrial camera positions to oblique and nadir aerial images due to the ability to navigate slowly, hover and capture images at

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Zia, Mohammed, Johannes Fürle, Christina Ludwig, Sven Lautenbach, Stefan Gumbrich, and Alexander Zipf. "SocialMedia2Traffic: Derivation of Traffic Information from Social Media Data." ISPRS International Journal of Geo-Information 11, no. 9 (2022): 482. http://dx.doi.org/10.3390/ijgi11090482.

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Traffic prediction is a topic of increasing importance for research and applications in the domain of routing and navigation. Unfortunately, open data are rarely available for this purpose. To overcome this, the authors explored the possibility of using geo-tagged social media data (Twitter), land-use and land-cover point of interest data (from OpenStreetMap) and an adapted betweenness centrality measure as feature spaces to predict the traffic congestion of eleven world cities. The presented framework and workflow are termed as SocialMedia2Traffic. Traffic congestion was predicted at four til

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Tintrup gen. Suntrup, G., T. Jalke, L. Streib, et al. "New Methods in Acquisition, Update and Dissemination of Nature Conservation Geodata - Implementation of an Integrated Framework." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 707–12. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-707-2015.

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Within the framework of this project methods are being tested and implemented a) to introduce remote sensing based approaches into the existing process of biotope mapping and b) to develop a framework serving the multiple requirements arising from different users’ backgrounds and thus the need for comprehensive data interoperability. Therefore state-wide high resolution land cover vector-data have been generated in an automated object oriented workflow based on aerial imagery and a normalised digital surface models.These data have been enriched by an extensive characterisation of the individua

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Zhang, Y., Y. Wan, B. Wang, Y. Kang, and J. Xiong. "Automatic Processing of Chinese GF-1 Wide Field of View Images." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 729–34. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-729-2015.

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The wide field of view (WFV) imaging instrument carried on the Chinese GF-1 satellite includes four cameras. Each camera has 200km swath-width that can acquire earth image at the same time and the observation can be repeated within only 4 days. This enables the applications of remote sensing imagery to advance from non-scheduled land-observation to periodically land-monitoring in the areas that use the images in such resolutions. This paper introduces an automatic data analysing and processing technique for the wide-swath images acquired by GF-1 satellite. Firstly, the images are validated by

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Kriz, Karel. "ALBINA The White Goddess – Mapping and Communicating Avalanche Risk in the European Alps." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-191-2019.

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<p><strong>Abstract.</strong> With the increasing importance of communication in the context of risk management and disaster prevention in mountainous environments, the demand for adequate communication channels and cartographic representations is constantly rising. In particular, the presentation of a broad spectrum of geospatial topics such as avalanche awareness requires innovative cartographic methods and approaches that go beyond standard cartographic depiction procedures.</p><p>ALBINA is such a project that addresses this proposition. It embraces risk manage

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Xiao, F., G. Y. K. Shea, M. S. Wong, and J. Campbell. "An automated and integrated framework for dust storm detection based on ogc web processing services." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2 (November 11, 2014): 151–56. http://dx.doi.org/10.5194/isprsarchives-xl-2-151-2014.

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Dust storms are known to have adverse effects on public health. Atmospheric dust loading is also one of the major uncertainties in global climatic modelling as it is known to have a significant impact on the radiation budget and atmospheric stability. The complexity of building scientific dust storm models is coupled with the scientific computation advancement, ongoing computing platform development, and the development of heterogeneous Earth Observation (EO) networks. It is a challenging task to develop an integrated and automated scheme for dust storm detection that combines Geo-Processing f

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Bathellier, Eric, Jon Downton, and Gabino Castillo. "Optimising CSG development: quantitative estimation of lithological and geomechanical reservoir quality parameters from seismic data." APPEA Journal 52, no. 2 (2012): 675. http://dx.doi.org/10.1071/aj11089.

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Within the past decade, new developments in seismic azimuthal anisotropy have identified a link between fracture density and orientation observed in well logs and the intensity and orientation of the actual anisotropy. Recent studies have shown a correlation between these measurements that provide quantitative estimations of fracture density from 3D wide-azimuth seismic data in tight-gas sand reservoirs. Recent research shows the significance of advanced seismic processing in the successful recovery of reliable fracture estimations, which directly correlates to borehole observations. These qua

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Gausepohl, Florian, Anne Hennke, Timm Schoening, Kevin Köser, and Jens Greinert. "Scars in the abyss: reconstructing sequence, location and temporal change of the 78 plough tracks of the 1989 DISCOL deep-sea disturbance experiment in the Peru Basin." Biogeosciences 17, no. 6 (2020): 1463–93. http://dx.doi.org/10.5194/bg-17-1463-2020.

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Abstract. High-resolution optical and hydro-acoustic sea floor data acquired in 2015 enabled the reconstruction and exact localization of disturbance tracks of a past deep-sea recolonization experiment (DISCOL) that was conducted in 1989 in the Peru Basin during a German environmental impact study associated with manganese-nodule mining. Based on this information, the disturbance level of the experiment regarding the direct plough impact and distribution and redeposition of sediment from the evolving sediment plume was assessed qualitatively. The compilation of all available optical and acoust

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Wang, Nan, and Qiming Qin. "Natural Source Electromagnetic Component Exploration of Coalbed Methane Reservoirs." Minerals 12, no. 6 (2022): 680. http://dx.doi.org/10.3390/min12060680.

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As an environmentally friendly and high-calorific natural gas, coalbed methane (CBM) has become one of the world’s most crucial unconventional energy sources. Undoubtedly, it is necessary to conduct in-depth research on reservoir exploration methods to ensure high and stable CBM production in the development stage. However, current methods have disadvantages such as high cost, complex devices, and poor terrain adaptability, and therefore they are unsuitable for reasonable monitoring of CBM reservoirs. In contrast, electromagnetic prospecting methods are increasingly widely employed in the rapi

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Hassan, Huma Ahmed, Syed Amer Mahmood, Saira Batool, Areeba Amer, Mareena Khurshid, and Hina Yaqub. "Generation of Digital Surface Model (DSM) USING UAV/ QUADCOPTER." Vol 2 Issue 3 2, no. 3 (2020): 89–107. http://dx.doi.org/10.33411/ijist/2020020304.

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Satellite imageries are being used as primary source of information due to their vast coverage and high temporal resolution. Unnamed Aerial Vehicle (UAV) is being used these days because of its accuracy, autonomous flights, cost effectiveness and rapid overview of data. UAV provides a fully or partially autonomous image acquiring platform which is devoid of any manned flight controller. In this research Phantom 3 advanced Quadcopter was used for an image acquisition plan for generation of Digital Surface Model (DSM). Two designs were drawn through this workflow for the reconstruction of Depart

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Chen, Huangke, Jinming Wen, Witold Pedrycz, and Guohua Wu. "Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds." IEEE Transactions on Big Data 6, no. 1 (2020): 131–44. http://dx.doi.org/10.1109/tbdata.2018.2874469.

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Qin, R., S. Song, and X. Huang. "3D DATA GENERATION USING LOW-COST CROSS-VIEW IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 157–62. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-157-2020.

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Abstract. 3D data generation often requires expensive data collection such as aerial photogrammetric or LiDAR flight. In cases such data are unavailable, for example, areas of interest inaccessible from aerial platforms, alternative sources to be considered can be quite heterogeneous and come in the form of different accuracy, resolution and views, which challenge the standard data processing workflows. Assuming only overview satellite and ground-level go-pro images are available, which we call cross-view data due to the significant view differences, this paper introduces a framework from our

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Brandón, Álvaro, María S. Pérez, Jesus Montes, and Alberto Sanchez. "FMonE: A Flexible Monitoring Solution at the Edge." Wireless Communications and Mobile Computing 2018 (November 19, 2018): 1–15. http://dx.doi.org/10.1155/2018/2068278.

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Monitoring has always been a key element on ensuring the performance of complex distributed systems, being a first step to control quality of service, detect anomalies, or make decisions about resource allocation and job scheduling, to name a few. Edge computing is a new type of distributed computing, where data processing is performed by a large number of heterogeneous devices close to the place where the data is generated. Some of the differences between this approach and more traditional architectures, like cloud or high performance computing, are that these devices have low computing power

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Nourian, Pirouz, Carlos Martinez-Ortiz, and Ken Arroyo Ohori. "Essential Means for Urban Computing: Specification of Web-Based Computing Platforms for Urban Planning, a Hitchhiker’s Guide." Urban Planning 3, no. 1 (2018): 47–57. http://dx.doi.org/10.17645/up.v3i1.1299.

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This article provides an overview of the specifications of web-based computing platforms for urban data analytics and computational urban planning practice. There are currently a variety of tools and platforms that can be used in urban computing practices, including scientific computing languages, interactive web languages, data sharing platforms and still many desktop computing environments, e.g., GIS software applications. We have reviewed a list of technologies considering their potential and applicability in urban planning and urban data analytics. This review is not only based on the tech

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Lari, Z., and N. El-Sheimy. "SYSTEM CONSIDERATIONS AND CHALLENDES IN 3D MAPPING AND MODELING USING LOW-COST UAV SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 343–48. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-343-2015.

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In the last few years, low-cost UAV systems have been acknowledged as an affordable technology for geospatial data acquisition that can meet the needs of a variety of traditional and non-traditional mapping applications. In spite of its proven potential, UAV-based mapping is still lacking in terms of what is needed for it to become an acceptable mapping tool. In other words, a well-designed system architecture that considers payload restrictions as well as the specifications of the utilized direct geo-referencing component and the imaging systems in light of the required mapping accuracy and i

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Jende, P., Z. Hussnain, M. Peter, S. Oude Elberink, M. Gerke, and G. Vosselman. "LOW-LEVEL TIE FEATURE EXTRACTION OF MOBILE MAPPING DATA (MLS/IMAGES) AND AERIAL IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W4 (March 17, 2016): 19–26. http://dx.doi.org/10.5194/isprsarchives-xl-3-w4-19-2016.

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Mobile Mapping (MM) is a technique to obtain geo-information using sensors mounted on a mobile platform or vehicle. The mobile platform’s position is provided by the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, especially in urban areas, building structures can obstruct a direct line-of-sight between the GNSS receiver and navigation satellites resulting in an erroneous position estimation. Therefore, derived MM data products, such as laser point clouds or images, lack the expected positioning reliability and accuracy. This issue has

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Jende, P., Z. Hussnain, M. Peter, S. Oude Elberink, M. Gerke, and G. Vosselman. "LOW-LEVEL TIE FEATURE EXTRACTION OF MOBILE MAPPING DATA (MLS/IMAGES) AND AERIAL IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W4 (March 17, 2016): 19–26. http://dx.doi.org/10.5194/isprs-archives-xl-3-w4-19-2016.

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Mobile Mapping (MM) is a technique to obtain geo-information using sensors mounted on a mobile platform or vehicle. The mobile platform’s position is provided by the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, especially in urban areas, building structures can obstruct a direct line-of-sight between the GNSS receiver and navigation satellites resulting in an erroneous position estimation. Therefore, derived MM data products, such as laser point clouds or images, lack the expected positioning reliability and accuracy. This issue has

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Pezzica, C., A. Piemonte, C. Bleil de Souza, and V. Cutini. "PHOTOGRAMMETRY AS A PARTICIPATORY RECOVERY TOOL AFTER DISASTERS: A GROUNDED FRAMEWORK FOR FUTURE GUIDELINES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W15 (August 23, 2019): 921–28. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w15-921-2019.

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<p><strong>Abstract.</strong> This paper identifies the application domain, context of use, processes and goals of low-cost street-level photogrammetry after urban disasters. The proposal seeks a synergy between top-down and bottom-up initiatives carried out by different actors during the humanitarian response phase in data scarce contexts. By focusing on the self-organisation capacities of local people, this paper suggests using collaborative photogrammetry to empower communities hit by disasters and foster their active participation in recovery and reconstruction planning.

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Đuka, Andreja, Zoran Bumber, Tomislav Poršinsky, Ivica Papa, and Tibor Pentek. "The Influence of Increased Salvage Felling on Forwarding Distance and the Removal—A Case Study from Croatia." Forests 12, no. 1 (2020): 7. http://dx.doi.org/10.3390/f12010007.

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During the seven-year research period, the average annual removal was by 3274 m3 higher than the average annual removal prescribed by the existing management plan (MP). The main reason lies in the high amount of salvage felling volume at 55,238 m3 (38.3%) in both the main and the intermediate felling due to oak dieback. The analysis of forest accessibility took into account the spatial distribution of cutblocks (with ongoing felling operations) and the volume of felled timber for two proposed factors: (1) the position of the cutblock and (2) the position of the removal. Cutblock position facto

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Thompson, M. W., J. Hiestermann, and L. Moyo. "PROVING THE CAPABILITY FOR LARGE SCALE REGIONAL LAND-COVER DATA PRODUCTION BY SELF-FUNDED COMMERCIAL OPERATORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2 (November 16, 2017): 209–12. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w2-209-2017.

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For service providers developing commercial value-added data content based on remote sensing technologies, the focus is to typically create commercially appropriate geospatial information which has downstream business value. The primary aim being to link locational intelligence with business intelligence in order to better make informed decisions. From a geospatial perspective this locational information must be relevant, informative, and most importantly current; with the ability to maintain the information timeously into the future for change detection purposes. Aligned with this, GeoTerraIm

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Banerjee, Bikram Pratap, and Simit Raval. "Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR." International Journal of Coal Science & Technology 9, no. 1 (2022). http://dx.doi.org/10.1007/s40789-022-00509-w.

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AbstractNear earth sensing from uncrewed aerial vehicles or UAVs has emerged as a potential approach for fine-scale environmental monitoring. These systems provide a cost-effective and repeatable means to acquire remotely sensed images in unprecedented spatial detail and a high signal-to-noise ratio. It is increasingly possible to obtain both physiochemical and structural insights into the environment using state-of-art light detection and ranging (LiDAR) sensors integrated onto UAVs. Monitoring sensitive environments, such as swamp vegetation in longwall mining areas, is essential yet challen

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Legleiter, Carl J., and Paul J. Kinzel. "Surface Flow Velocities From Space: Particle Image Velocimetry of Satellite Video of a Large, Sediment-Laden River." Frontiers in Water 3 (May 28, 2021). http://dx.doi.org/10.3389/frwa.2021.652213.

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Conventional, field-based streamflow monitoring in remote, inaccessible locations such as Alaska poses logistical challenges. Safety concerns, financial considerations, and a desire to expand water-observing networks make remote sensing an appealing alternative means of collecting hydrologic data. In an ongoing effort to develop non-contact methods for measuring river discharge, we evaluated the potential to estimate surface flow velocities from satellite video of a large, sediment-laden river in Alaska via particle image velocimetry (PIV). In this setting, naturally occurring sediment boil vo

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Inamdar, Deep, Margaret Kalacska, J. Pablo Arroyo-Mora, and George Leblanc. "The Directly-Georeferenced Hyperspectral Point Cloud: Preserving the Integrity of Hyperspectral Imaging Data." Frontiers in Remote Sensing 2 (April 23, 2021). http://dx.doi.org/10.3389/frsen.2021.675323.

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The raster data model has been the standard format for hyperspectral imaging (HSI) over the last four decades. Unfortunately, it misrepresents HSI data because pixels are not natively square nor uniformly distributed across imaged scenes. To generate end products as rasters with square pixels while preserving spectral data integrity, the nearest neighbor resampling methodology is typically applied. This process compromises spatial data integrity as the pixels from the original HSI data are shifted, duplicated and eliminated so that HSI data can conform to the raster data model structure. Our s

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Beilschmidt, Christian, Johannes Drönner, Néstor Fernández, Christian Langer, Michael Mattig, and Bernhard Seeger. "Analyzing Essential Biodiversity Variables with the VAT System." Biodiversity Information Science and Standards 3 (June 21, 2019). http://dx.doi.org/10.3897/biss.3.36319.

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The Essential Biodiversity Variables (EBVs) are important information sources for scientists and decision makers. They are developed and promoted by the Group on Earth Observations Biodiversity Observation Network (GEO BON) together with the community. EBVs provide an abstraction level between measurements and indicators. This enables access to biodiversity observations and allows different groups of users to detect temporal trends as well as regional deviations. In particular, the analysis of EBVs supports finding countermeasures for current important challenges like biodiversity loss and cli

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"Urban remote sensing with lidar for the Smart City Concept implementation." Visnyk of V. N. Karazin Kharkiv National University, series "Geology. Geography. Ecology", no. 50 (2019). http://dx.doi.org/10.26565/2410-7360-2019-50-08.

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Introduction of the problem. The paper emphasizes that the key features of the contemporary urban development have caused a number of challengers, which require the innovative technological introductions in urban studies. The research goal of this paper means representing a multifunctional approach, which combines author’s urbogeosystem (UGS) theory with the URS (Urban Remote Sensing) technique for LiDAR (Light Detection And Ranging) data processing. The key elements of the Smart City concept within a geospatial perspective. Three basic assumptions are implied due to the affiliation “a geospat

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Royaux, Coline, Olivier Norvez, Marie Jossé, et al. "From Biodiversity Observation Networks to Datasets and Workflows Supporting Biodiversity Indicators, a French Biodiversity Observation Network (BON) Essential Biodiversity Variables (EBV) Operationalization Pilot using Galaxy and Ecological Metadata Language." Biodiversity Information Science and Standards 6 (September 16, 2022). http://dx.doi.org/10.3897/biss.6.94957.

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Integration of biological data with different ecological scales is complex! The biodiversity community (scientists, policy makers, managers, citizen, NGOs) needs to build a framework of harmonized and interoperable data from raw, heterogeneous and scattered datasets. Such a framework will help observation, measurement and understanding of the spatio-temporal dynamic of biodiversity from local to global scales. One of the most relevant approaches to reach that aim is the concept of Essential Biodiversity Variables (EBV). As we can potentially extract a lot of information from raw datasets sampl

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Adetunji, Modupeore O., and Brian J. Abraham. "SEAseq: a portable and cloud-based chromatin occupancy analysis suite." BMC Bioinformatics 23, no. 1 (2022). http://dx.doi.org/10.1186/s12859-022-04588-z.

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Abstract Background Genome-wide protein-DNA binding is popularly assessed using specific antibody pulldown in Chromatin Immunoprecipitation Sequencing (ChIP-Seq) or Cleavage Under Targets and Release Using Nuclease (CUT&RUN) sequencing experiments. These technologies generate high-throughput sequencing data that necessitate the use of multiple sophisticated, computationally intensive genomic tools to make discoveries, but these genomic tools often have a high barrier to use because of computational resource constraints. Results We present a comprehensive, infrastructure-independent, comput

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Grieb, Jonas, Claus Weiland, Alex Hardisty, et al. "Machine Learning as a Service for DiSSCo’s Digital Specimen Architecture." Biodiversity Information Science and Standards 5 (September 23, 2021). http://dx.doi.org/10.3897/biss.5.75634.

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International mass digitization efforts through infrastructures like the European Distributed System of Scientific Collections (DiSSCo), the US resource for Digitization of Biodiversity Collections (iDigBio), the National Specimen Information Infrastructure (NSII) of China, and Australia’s digitization of National Research Collections (NRCA Digital) make geo- and biodiversity specimen data freely, fully and directly accessible. Complementary, overarching infrastructure initiatives like the European Open Science Cloud (EOSC) were established to enable mutual integration, interoperability and re

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