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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 (November 1989): 809–23. http://dx.doi.org/10.1061/(asce)0733-9496(1989)115:6(809).

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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 (March 6, 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 innovative methodologies, based on remote sensing techniques coupled with in situ/laboratory advanced sampling/analysis methods for tracking such species, may be useful and effective tools for easily assessing NIS distribution patterns and monitoring the space/time changes in habitats in order to support the sustainable management of the ecosystems. The reported case studies highlight how these cost-effective systems can be useful complementary tools for monitoring NIS, especially in marine protected areas, which, despite their fundamental role in the conservation of marine biodiversity, are not immune to the introduction of NIS. To ensure effective and long-lasting management strategies, collaborations between researchers, policy makers and citizens are essential.

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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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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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CARODENUTO, S. "Access to information and local democracies: a case study of REDD+ and FLEGT/VPA in Cameroon." International Forestry Review 21, no. 3 (September 1, 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 from Deforestation and forest Degradation (REDD+) process and the Forest Law Enforcement, Governance and Trade (FLEGT) Action Plan. This paper explores whether and how the proposed transparency agenda is having an impact (or not) in the Southwest Region of Cameroon. Using semi-structured interviews with civil society organizations, this paper examines how information is currently disclosed in the forest sector and the status of REDD+ and FLEGT transparency agendas at the local level.

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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 (February 6, 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 significant change in natural ecosystems during the study period due to the change in the land use patterns. The Closed forests, open forests, and rural settlement areas were found to decrease by -90%, -43% and -32% respectively during the period (1990-2000). This negative trend was reflected in a positive trend showed by expansion in agriculture (+267%), horticulture (+73%), bare land (144%), and urban areas (12%). During the period (2010-2015), which was the civil war period, the area of closed forests, open forests and urban areas were increased, in comparison to that of 1990-2000) by 201,10, and 247% respectively, while that of agriculture, Rural areas, and bare lands is negative (-51, -54 and -68% respectively).</p><p>The major factor for the change is mainly attributed to the migration of rural people towards urban areas due to civil war and economic crises. In addition, it is expected that there are other factors such as the absence of clear plans and coordination between concerned government authorities, at local and national levels, which may need further investigations and studies to clear the whole picture.</p>

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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), remote sensing, and global positioning systems (GPS). These technologies are fundamentally changing how we see the world and interact with it. This paper examines geospatial literacy, with reference to people’s awareness and use of geospatial literacy aid technologies in Ibadan metropolitan area, Nigeria. The research questions that the paper addresses include the following: How are people’s knowledge of computer, cell phone and internet? How are people’s awareness of geospatial literacy aid technologies? How are people using geospatial literacy aid technologies? Are people interested in learning more on how to use geospatial literacy aid technologies? What are the challenges confronting the people? The data used in the paper was from administration of 152 questionnaires to civil servants in five local governments in Ibadan metropolitan area and at the Oyo State Government Secretariat in Ibadan, Oyo State, Nigeria between February and August, 2017. Descriptive statistics are used to analyse the data. Policy implications of the findings towards improving human capacity building in geospatial literacy aid technologies were discussed in the paper.</p>

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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 (September 30, 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 CiteSpace on over 800 articles that cites the original article of LCZ. These articles cover a wide range of research categories including meteorology, atmospheric science, environmental science, remote sensing, building technology, civil engineering, ecology, urban studies, etc. The LCZ scheme facilitates urban climate data collection by refining monitoring network, providing reasonable modelling input, and improving database documentation. In addition to the study of urban heat islands, the LCZ scheme was applied in studies of urban thermal comfort, human health, building energy consumption, and carbon emission. The diffusion of the LCZ scheme to other research domains offers an example that the development of urban climate research advances sustainable urban development. This review provides insights of multidisciplinary studies related to urban climate for policy-makers, urban specialists, architects, ecologists, and others.

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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 (August 14, 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 weighted regression was applied to explain spatially varying impact of investigated errors’ determinants: Urbanization processes, civic society development, education, land ownership, and culture and quality of spatial planning. The research area covers the entirety of Poland. It was confirmed that in less developed areas, local development policy stimulating urbanization processes does not respect land use planning principles, including the accuracy of land registry. A high education level of the society leads to protective measures before the further increase of the investigated forest cover’s overestimation of the land registry in substantially urbanized areas. Finally, higher coverage by valid local spatial development plans stimulate protection against forest classification errors in the land registry.

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Gómez, Jairo Alejandro, ChengHe Guan, Pratyush Tripathy, Juan Carlos Duque, Santiago Passos, Michael Keith, and Jialin Liu. "Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions." Remote Sensing 13, no. 3 (February 1, 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 estimates. In this paper, we analyzed the uncertainty in the urban land predictions by comparing the outcomes of two different growth models, one based on a widely applied cellular automata model known as the SLEUTH CA and the other one based on a previously published machine learning framework. We selected these two models because they are complementary, the first is based on human knowledge and pre-defined and understandable policies while the second is more data-driven and might be less influenced by any a priori knowledge or bias. To test our methodology, we chose the cities of Jiaxing and Lishui in China because they are representative of new town planning policies and have different characteristics in terms of land extension, geographical conditions, growth rates, and economic drivers. We focused on the spatiotemporal uncertainty, understood as the inherent doubt in the predictions of where and when will a piece of land become urban, using the concepts of certainty area in space and certainty area in time. The proposed analyses in this paper aim to contribute to better urban planning exercises, and they can be extended to other cities worldwide.

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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 (September 28, 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 zoological species known from archaeological finds, lived on the territory of Kazakhstan. The correct application of these rich materials in the project activities of schoolchildren has the potential to develop an active civic position, as well as linguistic and cultural competencies. The authors refer to the experience of Gareth Dyke, a specialist in paleontology from the UK, and Dmitry Malakhov, a leading researcher at the Department of Remote Sensing of the Earth, JSC «NCKIT», to confirm that elements of paleontology in extracurricular activities in English could also positively affect the expansion of knowledge on such subjects as English and Biology. Thus, the integration of paleontology in extracurricular activities and the study of English in project activities can potentially provide deeper immersion in the culture and history of their country, their motherland

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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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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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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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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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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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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 (February 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 construction planning, and coverage monitoring. According to the actual needs of civil engineering, this paper extracts targeted land information from satellite remote sensing images in a certain area, and analyzes the practical and reasonable needs of civil engineering construction.

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24

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

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

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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 (July 2007): 359–68. http://dx.doi.org/10.2111/1551-5028(2007)60[359:rsatrl]2.0.co;2.

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

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Myers, Norman. "Tropical deforestation and remote sensing." Forest Ecology and Management 23, no. 2-3 (February 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 (September 2011): 388–93. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000104.

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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 (January 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 correction for lens distortion, radiometric correction, and orthorectification of the image. The software was tested on data collected from a helicopter by a digital camera that gathered high-resolution monochrome images, covering 280 m of a Dutch motorway. From the test, it was concluded that the techniques for analyzing the digital images can be applied automatically without much problem. However, given the limited stability of the helicopter, only 210 m of the motorway could be used for vehicle detection and tracking. The resolution of the data collection was 22 cm. Weather conditions appear to have a significant influence on the reliability of the data: 98% of the vehicles could be detected and tracked automatically when conditions were good; this number dropped to 90% when the weather conditions worsened. Equipment for stabilizing the camera—gyroscopic mounting—and the use of color images can be applied to further improve the system.

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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 (January 2009): 55–61. http://dx.doi.org/10.3141/2129-07.

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

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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 (January 1998): 35–41. http://dx.doi.org/10.1061/(asce)0733-947x(1998)124:1(35).

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De Leeuw, Jan, Yola Georgiadou, Norman Kerle, Alfred De Gier, Yoshio Inoue, Jelle Ferwerda, Maarten Smies, and Davaa Narantuya. "The Function of Remote Sensing in Support of Environmental Policy." Remote Sensing 2, no. 7 (July 12, 2010): 1731–50. http://dx.doi.org/10.3390/rs2071731.

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

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

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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 (November 5, 2019): 5244–56. http://dx.doi.org/10.1007/s12205-019-2242-0.

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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 (January 2007): 184–92. http://dx.doi.org/10.3141/2011-20.

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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 (January 2013): 8–16. http://dx.doi.org/10.3141/2329-02.

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

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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 (July 2011): 278–84. http://dx.doi.org/10.1016/j.drugpo.2011.02.001.

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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 (July 1990): 771–73. http://dx.doi.org/10.1109/tgrs.1990.573026.

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

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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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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 (January 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 time-consuming. In this paper, a semiautomatic approach is proposed for rapid mapping of multi-temporal landslides. The approach can obtain the variance information of each landslide event in one detection process. In addition, slope units are introduced to separate the extracted conjoined landslides. The area of Chenjiaba, China, which is located in the highest seismic intensity zone of the Wenchuan earthquake in Beichuan and had strong rainfall 4 months after the earthquake, was selected as a case study to demonstrate the validity of this methodology. Accuracy assessment was carried out by comparing extracted landslides with a manually prepared landslide inventory map. Correctly detected were 90.1% and 94.2% of earthquake- and rainfall-induced landslides, respectively. Results show that this approach is capable of mapping temporal landslides efficiently and quickly.

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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, mosaicing, seam lines eliminating automatically and rapidly with Interactive Data Language (IDL), and is targeted to solve the practical application problems such as preprocessing, mosaicing, seam-lines removing of civil UAV RS image.

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Infante, Donato, Serena Tessitore, Pierluigi Confuorto, Ciro Sepe, Domenico Calcaterra, Diego Di Martire, and Massimo Ramondini. "Monitoring of Strategic Buildings in Civil Protection Activities via Remote Sensing Data." IEEE Aerospace and Electronic Systems Magazine 34, no. 10 (October 1, 2019): 6–16. http://dx.doi.org/10.1109/maes.2019.2915038.

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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 Synthetic Aperture Radar (DInSAR) allows identifying environmental vulnerability and potential damages on large road infrastructures thus contributing to plan and optimize maintenance actions. DInSAR data allow to highlight instability processes and to quantify mean deformation velocities and displacement time series. This information can be analysed considering geotechnical and structural characteristics and adopted to evaluate possible safety condition improvement and damage mitigation. Using proximal remote sensing techniques, such as Light Detection And Ranging (LiDAR), it is possible to analyse the pavement conditions on 3D models derived from a dense point cloud acquired by Mobile Laser Scanner (MLS). By combining the DInSAR and LiDAR datasets a great improvement is expected in the capability to promptly identifying critical situations and understanding potential risks affecting extended road infrastructures. The principal aim of this paper is to provide a general overview of the most innovative remote sensing techniques for infrastructure safety condition assessments. Furthermore, a methodological approach to define a reliable procedure for data processing and integration is applied on a test area located in the municipality of Rome.</p>

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Chasmer, Laura, Danielle Cobbaert, Craig Mahoney, Koreen Millard, Daniel Peters, Kevin Devito, Brian Brisco, et al. "Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management." Remote Sensing 12, no. 8 (April 22, 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 comparisons found in the literature from 209 articles, (3) recommendations for best approaches based on case studies, and (4) a decision tree to assist users and policymakers at numerous governmental levels and industrial agencies to identify optimal remote sensing approaches based on needs, feasibility, and cost. We argue that in order for remote sensing approaches to be adopted by wetland scientists, land-use managers, and policymakers, there is a need for greater understanding of the use of remote sensing for wetland inventory, condition, and underlying processes at scales relevant for management and policy decisions. The literature review focuses on boreal wetlands primarily from a Canadian perspective, but the results are broadly applicable to policymakers and wetland scientists globally, providing knowledge on how to best incorporate remotely sensed data into their monitoring and measurement procedures. This is the first review quantifying the accuracy and feasibility of remotely sensed data and data combinations needed for monitoring and assessment. These include, baseline classification for wetland inventory, monitoring through time, and prediction of ecosystem processes from individual wetlands to a national scale.

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McCarthy, Elena, and Flora Lichtman. "The Sea from Space—Applying Remote Sensing to Societal Needs." Marine Technology Society Journal 41, no. 3 (September 1, 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, satellite remote sensing has great potential to contribute to the development of sound marine policy and informed decision making.

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