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Journal articles on the topic 'Civil remote sensing policy'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Tao, Tao, and Nicholas Kouwen. "Remote Sensing and Fully Distributed Modeling for Flood Forecasting." Journal of Water Resources Planning and Management 115, no. 6 (1989): 809–23. http://dx.doi.org/10.1061/(asce)0733-9496(1989)115:6(809).

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2

Mannino, Anna Maria, Flavio Borfecchia, and Carla Micheli. "Tracking Marine Alien Macroalgae in the Mediterranean Sea: The Contribution of Citizen Science and Remote Sensing." Journal of Marine Science and Engineering 9, no. 3 (2021): 288. http://dx.doi.org/10.3390/jmse9030288.

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The accelerating rate of the introduction of non-indigenous species (NIS) and the magnitude of shipping traffic make the Mediterranean Sea a hotspot of biological invasions. For the effective management of NIS, early detection and intensive monitoring over time and space are essential. Here, we present an overview of possible applications of citizen science and remote sensing in monitoring alien seaweeds in the Mediterranean Sea. Citizen science activities, involving the public (e.g., tourists, fishermen, divers) in the collection of data, have great potential for monitoring NIS. The innovativ

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3

Chen, Yun, Juan P. Guerschman, Zhibo Cheng, and Longzhu Guo. "Remote sensing for vegetation monitoring in carbon capture storage regions: A review." Applied Energy 240 (April 2019): 312–26. http://dx.doi.org/10.1016/j.apenergy.2019.02.027.

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4

Imran, M., K. Sumra, N. Abbas, and I. Majeed. "Spatial distribution and opportunity mapping: Applicability of evidence-based policy implications in Punjab using remote sensing and global products." Sustainable Cities and Society 50 (October 2019): 101652. http://dx.doi.org/10.1016/j.scs.2019.101652.

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5

CARODENUTO, S. "Access to information and local democracies: a case study of REDD+ and FLEGT/VPA in Cameroon." International Forestry Review 21, no. 3 (2019): 267–78. http://dx.doi.org/10.1505/146554819827293187.

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As technological advancements in forest monitoring – such as remote sensing and commodity supply chain tracking – allow for the generation and analysis of increasingly large datasets, forest policy makers and practitioners are looking for innovative yet practical ways for information transparency to transform forest governance. Especially in tropical forest countries looking to address the continuing deforestation and forest degradation through climate finance commitments and timber trade agreements, the access to information agenda has been placed at the fore of both the Reducing Emissions fr

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E.H., Osman, Gumaa Y.S.A., and Elhag A.M.H. "Land Cover/Land Use Trends along the Blue Nile River Blue Nile State – Sudan." IRA-International Journal of Applied Sciences (ISSN 2455-4499) 13, no. 1 (2019): 1. http://dx.doi.org/10.21013/jas.v13.n1.p1.

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<p>The study focused on quantifying the extent and sources of the deterioration of the vegetation cover of the study area at the Sudanese Blue Nile watershed in relation to agriculture extension policy, inefficient management and Lack of governmental policy. </p><p>The Research was based on forest and vegetation inventory and soil analysis to determine the current situation using ground survey, forest inventory and remote sensing data as well as secondary information from other sources to cover historical records from 1990 to 2015.</p><p>The results showed a signi

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7

Asiyanbola, Raimi Abidemi. "Geospatial literacy in Africa-Nigeria." Proceedings of the ICA 2 (July 10, 2019): 1–7. http://dx.doi.org/10.5194/ica-proc-2-5-2019.

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<p><strong>Abstract.</strong> Literature reveals that geography has always been a critical type of information that humans – in fact all animals – collect, organize, and use, and that place-based information is vital to survival on our planet. Geographic literacy is defined as the ability to apply geographic skills and understanding in personal and civic lives. The growing interest has been sparked by an understanding of the role that spatial literacy plays in implementation of geospatial technologies such as computer, cell phone, internet, geographic information systems (GIS

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Xue, Jiao, Ruoyu You, Wei Liu, Chun Chen, and Dayi Lai. "Applications of Local Climate Zone Classification Scheme to Improve Urban Sustainability: A Bibliometric Review." Sustainability 12, no. 19 (2020): 8083. http://dx.doi.org/10.3390/su12198083.

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Many of the sustainable urban development issues, such as human heath, energy consumption, carbon emission, are related to the climate of cities. As a result, research insights gained in urban climate study can be applied to improve urban sustainability. Although the Local Climate Zones (LCZ) scheme was originally proposed to provide a standardized classification of landscapes to study urban air temperature, its use was not limited to the study of urban heat islands. This study explores the applications of LCZ scheme in various research domains by conducting a bibliometric analysis in CiteSpac

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9

Adamiak, Maciej, Mirosław Biczkowski, Katarzyna Leśniewska-Napierała, Marta Nalej, and Tomasz Napierała. "Impairing Land Registry: Social, Demographic, and Economic Determinants of Forest Classification Errors." Remote Sensing 12, no. 16 (2020): 2628. http://dx.doi.org/10.3390/rs12162628.

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This paper investigates the social, demographic, and economic factors determining differences between forest identification based on remote sensing techniques and land registry. The Database of Topographic Objects and Sentinel-2 satellite imagery data from 2018 were used to train a forest detection supervised machine learning model. Results aggregated to communes (NUTS-5 units) were compared to data from land registry delivered in Local Data Bank by Statistics Poland. The differences identified between above mentioned sources were defined as errors of land registry. Then, geographically weight

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10

Gómez, Jairo Alejandro, ChengHe Guan, Pratyush Tripathy, et al. "Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions." Remote Sensing 13, no. 3 (2021): 512. http://dx.doi.org/10.3390/rs13030512.

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With the availability of computational resources, geographical information systems, and remote sensing data, urban growth modeling has become a viable tool for predicting urbanization of cities and towns, regions, and nations around the world. This information allows policy makers, urban planners, environmental and civil organizations to make investments, design infrastructure, extend public utility networks, plan housing solutions, and mitigate adverse environmental impacts. Despite its importance, urban growth models often discard the spatiotemporal uncertainties in their prediction estimate

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11

Kalizhanova, A., T. Shelestova, P. Makarovskaya, T. Maryshkina, and A. Aupenova. "Potential for use of the paleontological component in the extracurricular activities of secondary school students in English." Bulletin of the Karaganda University. Pedagogy series 99, no. 3 (2020): 40–46. http://dx.doi.org/10.31489/2020ped3/40-46.

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The article is devoted to the application of elements of paleontology in extracurricular activities in English. The language policy of the state, as well as the programs «Tugan Zher» and «Sacred Geography of Kazakhstan» speak in favor of such integration. The authors argue that materials rich in the linguoculturological aspect contribute to the introduction of people to the linguocultures of other ethnic groups within a single state, and also evoke great motivation to learn languages. It has been proven that now-extinct animals, such as mammoths, dinosaurs, and other representatives of zoologi

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12

MURAI, Shunji. "Remote sensing in civil engineering." Doboku Gakkai Ronbunshu, no. 462 (1993): 1–8. http://dx.doi.org/10.2208/jscej.1993.462_1.

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13

Amos, E. M., D. Blakeway, and C. D. Warren. "Remote Sensing Techniques in Civil Engineering Surveys." Geological Society, London, Engineering Geology Special Publications 2, no. 1 (1986): 119–24. http://dx.doi.org/10.1144/gsl.1986.002.01.26.

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AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.

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14

McCreary, Julian P., James E. Overland, and James G. Richman. "Policy statement on instrumentation and remote sensing." Journal of Geophysical Research 99, no. C3 (1994): 5027. http://dx.doi.org/10.1029/jc099ic03p05027.

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15

McCreary, Julian P., James E. Overland, and James G. Richman. "Policy statement on instrumentation and remote sensing." Journal of Geophysical Research 99, no. C4 (1994): 7289. http://dx.doi.org/10.1029/jc099ic04p07289.

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16

McCreary, Julian P. "Policy statement on instrumentation and remote sensing." Journal of Geophysical Research 99, no. C2 (1994): 3229. http://dx.doi.org/10.1029/94jc00173.

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17

McCreary, Julian P. "Policy statement on instrumentation and remote sensing." Journal of Geophysical Research 99, no. C3 (1994): 5027. http://dx.doi.org/10.1029/94jc00173-1.

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18

McCreary, Julian P. "Policy statement on instrumentation and remote sensing." Journal of Geophysical Research 99, no. C4 (1994): 7289. http://dx.doi.org/10.1029/94jc00173-2.

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19

McCreary, Julian P. "Policy statement on instrumentation and remote sensing." Deleted DOIs 99, no. C3 (1994): 5027. http://dx.doi.org/10.1029/94jc00173a.

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20

McCreary, Julian P. "Policy statement on instrumentation and remote sensing." Deleted DOIs 99, no. C4 (1994): 7289. http://dx.doi.org/10.1029/94jc00173a-1.

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21

McCreary, Julian P. "Policy statement on instrumentation and remote sensing." Deleted DOIs 99, no. C4 (1994): 7289. http://dx.doi.org/10.1029/94jc00173b.

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22

Shaffer, Lisa R., and Peter Backlund. "Towards a coherent remote sensing data policy." Space Policy 6, no. 1 (1990): 45–52. http://dx.doi.org/10.1016/0265-9646(90)90006-j.

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23

Wang, Ting, Lizhu Ma, and Qinghui Qi. "Application of Remote Sensing Image in Civil Engineering." E3S Web of Conferences 206 (2020): 01003. http://dx.doi.org/10.1051/e3sconf/202020601003.

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Civil engineering occupies an unwavering position in the scientific and technological field. It not only has a deep tradition, but also has unlimited development potential in the future, and it covers numerous academic and application fields. With the advancement of science and technology, remote sensing technology is more and more widely used in people’s daily production and life. In civil engineering construction and research, remote sensing imagery also plays an important role as the basic data. Therefore, remote sensing technology has shown important support in land utilization, land const

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24

Nossin, Jan J. "Remote Sensing Geology." International Journal of Applied Earth Observation and Geoinformation 5, no. 3 (2004): 239–40. http://dx.doi.org/10.1016/j.jag.2004.03.001.

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25

Sen, Avery. "The benefits of remote sensing for energy policy." Space Policy 20, no. 1 (2004): 17–24. http://dx.doi.org/10.1016/j.spacepol.2003.11.003.

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26

Rowley, Rex J., Kevin P. Price, and Jude H. Kastens. "Remote Sensing and the Rancher: Linking Rancher Perception and Remote Sensing." Rangeland Ecology & Management 60, no. 4 (2007): 359–68. http://dx.doi.org/10.2111/1551-5028(2007)60[359:rsatrl]2.0.co;2.

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27

Hitchings, Sean. "Policy assessment of the impacts of remote-sensing technology." Space Policy 19, no. 2 (2003): 119–25. http://dx.doi.org/10.1016/s0265-9646(03)00017-1.

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28

Myers, Norman. "Tropical deforestation and remote sensing." Forest Ecology and Management 23, no. 2-3 (1988): 215–25. http://dx.doi.org/10.1016/0378-1127(88)90083-7.

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29

Brilakis, Ioannis, Stephanie German, and Zhenhua Zhu. "Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure." Journal of Computing in Civil Engineering 25, no. 5 (2011): 388–93. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000104.

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30

Hoogendoorn, S. P., H. J. Van Zuylen, M. Schreuder, B. Gorte, and G. Vosselman. "Microscopic Traffic Data Collection by Remote Sensing." Transportation Research Record: Journal of the Transportation Research Board 1855, no. 1 (2003): 121–28. http://dx.doi.org/10.3141/1855-15.

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To gain insight into the behavior of drivers during congestion, and to develop and test theories and models that describe congested driving behavior, very detailed data are needed. A new data-collection system prototype is described for determining individual vehicle trajectories from sequences of digital aerial images. Software was developed to detect and track vehicles from image sequences. In addition to longitudinal and lateral position as a function of time, the system can determine vehicle length and width. Before vehicle detection and tracking can be achieved, the software handles corre

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31

Knoop, Victor L., Serge P. Hoogendoorn, and Henk J. van Zuylen. "Processing Traffic Data Collected by Remote Sensing." Transportation Research Record: Journal of the Transportation Research Board 2129, no. 1 (2009): 55–61. http://dx.doi.org/10.3141/2129-07.

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32

Girard, C. M., C. Le Bas, W. Szujecka, and M. C. Girard. "Remote Sensing and Fallow Land." Journal of Environmental Management 41, no. 1 (1994): 27–38. http://dx.doi.org/10.1006/jema.1994.1031.

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33

Wilmot, Chester G., Peter R. Stopher, Xiao-ping Chen, and Srinivasa R. Vaikuntum. "Viability of Remote Sensing on Two-Lane Roads." Journal of Transportation Engineering 124, no. 1 (1998): 35–41. http://dx.doi.org/10.1061/(asce)0733-947x(1998)124:1(35).

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34

De Leeuw, Jan, Yola Georgiadou, Norman Kerle, et al. "The Function of Remote Sensing in Support of Environmental Policy." Remote Sensing 2, no. 7 (2010): 1731–50. http://dx.doi.org/10.3390/rs2071731.

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35

Brennan, Timothy J., and Molly K. Macauley. "Remote sensing satellites and privacy: A framework for policy assessment." Information & Communications Technology Law 4, no. 3 (1995): 233–48. http://dx.doi.org/10.1080/13600834.1995.9965723.

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36

Shih, Sun F., and Jonathan D. Jordan. "Remote‐Sensing Application to Well Monitoring." Journal of Irrigation and Drainage Engineering 116, no. 4 (1990): 497–507. http://dx.doi.org/10.1061/(asce)0733-9437(1990)116:4(497).

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37

Sur, Chanyang, Seo-Yeon Park, Tae-Woong Kim, and Joo-Heon Lee. "Remote Sensing-based Agricultural Drought Monitoring using Hydrometeorological Variables." KSCE Journal of Civil Engineering 23, no. 12 (2019): 5244–56. http://dx.doi.org/10.1007/s12205-019-2242-0.

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38

Shoup, Lilly, Larry O'Rourke, Chester Fung, and Polly Quick. "Incorporating Geophysical Remote Sensing into Transportation Archeological Investigations." Transportation Research Record: Journal of the Transportation Research Board 2011, no. 1 (2007): 184–92. http://dx.doi.org/10.3141/2011-20.

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39

Ewan, Levi, Ahmed Al-Kaisy, and David Veneziano. "Remote Sensing of Weather and Road Surface Conditions." Transportation Research Record: Journal of the Transportation Research Board 2329, no. 1 (2013): 8–16. http://dx.doi.org/10.3141/2329-02.

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40

Redfern, H., and R. G. Williams. "Remote Sensing: Latest Developments and Uses." Water and Environment Journal 10, no. 6 (1996): 423–28. http://dx.doi.org/10.1111/j.1747-6593.1996.tb00075.x.

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41

Tian, Yichen, Bingfang Wu, Lei Zhang, Qiangzi Li, Kun Jia, and Meiping Wen. "Opium poppy monitoring with remote sensing in North Myanmar." International Journal of Drug Policy 22, no. 4 (2011): 278–84. http://dx.doi.org/10.1016/j.drugpo.2011.02.001.

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42

Brown, D., C. A. Hood, D. Okerson, M. Schwaller, R. Suresh, and S. W. MaCandless. "Planning An Advanced Commercial Remote Sensing System: Evaluation of Spaceborne, Environmental Remote Sensing Sensor-types That Address The Civil And Military Markets." IEEE Transactions on Geoscience and Remote Sensing 28, no. 4 (1990): 771–73. http://dx.doi.org/10.1109/tgrs.1990.573026.

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43

Lobell, David B. "Remote Sensing of Soil Degradation: Introduction." Journal of Environmental Quality 39, no. 1 (2010): 1–4. http://dx.doi.org/10.2134/jeq2009.0326.

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44

Nagendra, Narayan Prasad. "Indo-Brazil Remote Sensing Agreement: Policy Perspectives and Implications for India." Space Policy 49 (August 2019): 101169. http://dx.doi.org/10.1016/j.spacepol.2016.02.002.

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45

Li, Yange, Jianling Huang, Hao Pu, Zheng Han, Wei Li, and Bin Yan. "Semiautomatic Landslide Detection Using Remote Sensing and Slope Units." Transportation Research Record: Journal of the Transportation Research Board 2604, no. 1 (2017): 104–10. http://dx.doi.org/10.3141/2604-13.

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Landslides induced by earthquakes and rainfall pose severe threats to the infrastructure of highways and high-speed railways. To plan an immediate emergency response, the location and scale of these landslides should be known beforehand. Traditionally, to detect multitemporal landslides induced by earthquakes and the long-term effects, along with other factors such as subsequent rainfall, one had to carry out image classification multiple times to calculate the variance information. The accuracy of that method is affected by accumulated errors from multi-classification, and the process is very

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46

Yang, Ying, Li Jun Wang, and Lei Yang. "Processing and Mosaicing System of Civil Unmanned Aerial Vehicle Remote Sensing Image." Advanced Materials Research 989-994 (July 2014): 3548–51. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3548.

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With combining Unmanned Aerial Vehicle (UAV) and the high-precision of the low altitude Remote Sensing (RS) technology, UAV RS technology has become an important compleme-nt for satellite and manned aircraft RS, so it has drawn great attention of people at home and abroad. Most of UAV RS image technologies use small digital cameras to shoot so that it causes some proble-ms such as lower magnitude, more and larger morphing image. The image processing and mosaicing system of UAV RS implements the function of image identifying, selection of image group control points, geometric correction, mosaic

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47

Infante, Donato, Serena Tessitore, Pierluigi Confuorto, et al. "Monitoring of Strategic Buildings in Civil Protection Activities via Remote Sensing Data." IEEE Aerospace and Electronic Systems Magazine 34, no. 10 (2019): 6–16. http://dx.doi.org/10.1109/maes.2019.2915038.

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48

D’Aranno, P., A. Di Benedetto, M. Fiani, and M. Marsella. "REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 461–68. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-461-2019.

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<p><strong>Abstract.</strong> The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Sy

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49

Chasmer, Laura, Danielle Cobbaert, Craig Mahoney, et al. "Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management." Remote Sensing 12, no. 8 (2020): 1320. http://dx.doi.org/10.3390/rs12081320.

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Wetlands have and continue to undergo rapid environmental and anthropogenic modification and change to their extent, condition, and therefore, ecosystem services. In this first part of a two-part review, we provide decision-makers with an overview on the use of remote sensing technologies for the ‘wise use of wetlands’, following Ramsar Convention protocols. The objectives of this review are to provide: (1) a synthesis of the history of remote sensing of wetlands, (2) a feasibility study to quantify the accuracy of remotely sensed data products when compared with field data based on 286 compar

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50

McCarthy, Elena, and Flora Lichtman. "The Sea from Space—Applying Remote Sensing to Societal Needs." Marine Technology Society Journal 41, no. 3 (2007): 4–15. http://dx.doi.org/10.4031/002533207787442097.

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The use of satellite-based remote sensing systems for observing marine environments is presented. Satellite observations of the marine environment, including weather, support efforts in economic development, national defense, resource management, and policy making, and contribute to the comfort, health, and safety of the public. Several emerging uses of remote sensing, with applications beyond the scope of conventional marine environmental monitoring, are presented, including: maritime surveillance, international treaty enforcement, oil prospecting, and siting of offshore wind farms. As a tool

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