Relevant bibliographies by topics / Civil remote sensing policy

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Civil remote sensing policy'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Civil remote sensing policy"

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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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Dissertations / Theses on the topic "Civil remote sensing policy"

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Siemon, Noel, and n/a. "Civil remote sensing policy in Australia : a case study concerning the commercialisation of a government-developed technology." University of Canberra. Administrative Studies, 1993. http://erl.canberra.edu.au./public/adt-AUC20061108.154949.

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Drayton, Robert S. "The application of remote sensing to water resources." Thesis, Aston University, 1989. http://publications.aston.ac.uk/14269/.

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Techniques are developed for the visual interpretation of drainage features from satellite imagery. The process of interpretation is formalised by the introduction of objective criteria. Problems of assessing the accuracy of maps are recognized, and a method is developed for quantifying the correctness of an interpretation, in which the more important features are given an appropriate weight. A study was made of imagery from a variety of landscapes in Britain and overseas, from which maps of drainage networks were drawn. The accuracy of the mapping was assessed in absolute terms, and also in relation to the geomorphic parameters used in hydrologic models. Results are presented relating the accuracy of interpretation to image quality, subjectivity and the effects of topography. It is concluded that the visual interpretation of satellite imagery gives maps of sufficient accuracy for the preliminary assessment of water resources, and for the estimation of geomorphic parameters. An examination is made of the use of remotely sensed data in hydrologic models. It is proposed that the spectral properties of a scene are holistic, and are therefore more efficient than conventional catchment characteristics. Key hydrologic parameters were identified, and were estimated from streamflow records. The correlation between hydrologic variables and spectral characteristics was examined, and regression models for streamflow were developed, based solely on spectral data. Regression models were also developed using conventional catchment characteristics, whose values were estimated using satellite imagery. It was concluded that models based primarily on variables derived from remotely sensed data give results which are as good as, or better than, models using conventional map data. The holistic properties of remotely sensed data are realised only in undeveloped areas. In developed areas an assessment of current land-use is a more useful indication of hydrologic response.
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Miller, S. T. "Remote sensing applications to flood hydrology in Belize." Thesis, Aston University, 1986. http://publications.aston.ac.uk/14242/.

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The research compares the usefullness of four remote sensing information sources, these being LANDSAT photographic prints, LANDSAT computer compatible tapes, Metric Camera and SIR-A photographic prints. These sources provide evaluations of the catchment characteristics of the Belize and Sibun river basins in Central America. Map evaluations at 1:250,000 scale are compared to the results of the same scale, remotely sensed information sources. The values of catchment characteristics for both maps and LANDSAT prints are used in multiple regression analysis, providing flood flow formulae, after investigations to provide a suitable dependent variable discharge series are made for short term records. The use of all remotely sensed information sources in providing evaluations of catchment characteristics IS discussed. LANDSAT prints and computer compatible tapes of a post flood scene are used to estimate flood distributions and volumes. These are compared to values obtained from unit hydrograph analysis, using the dependent discharge series and evaluate the probable losses from the Belize river to the floodplain, thereby assessing the accuracy of LANDSAT estimates. Information relating to flood behaviour is discussed in terms of basic image presentation as well as image processing. A cost analysis of the purchase and use of all materials is provided. Conclusions of the research indicate that LANDSAT print material may provide information suitable for regression analysis at levels of accuracy as great as those of topographic maps, that the differing information sources are uniquely applicable and that accurate estimates of flood volumes may be determined even by post flood imagery.
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Primus, Ida. "Scale-recursive estimation of precipitation using remote sensing data." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10852.

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Ahn, Gi-Choul. "Remote sensing and geophysical analysis of the Radian Lineament, Antarctica." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1413284938.

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Konings, Alexandra Georges. "Microwave remote sensing of water in the soil - plant system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101833.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 171-191).
Remotely sensed measurements made by radars or radiometers in the low microwave frequency range are sensitive to soil moisture, soil roughness, and vegetation water content. Measurements made at multiple polarizations can be used to determine additional ancillary parameters alongside the primary variable of interest. However, if an attempt is made to retrieve too many parameters from too few measurements, the resulting retrievals will contain high levels of noise. In this thesis, I introduce a framework to determine an upper bound on the number of geophysical parameters that can be retrieved from remotely sensed measurements such as those made by microwave instruments. The principles behind this framework, as well as the framework itself, are then applied to derive two new ecohydrological variables: a) soil moisture profiles across much of the root-zone and b) vegetation optical depth, which is proportional to vegetation water content. For P-band observations, it is shown that soil moisture variations with depth must be accounted for to prevent large forward modeling - and thus retrieval - errors. A Tikhonov regularization approach is then introduced to allow retrieval of soil moisture in several profile layers by using statistics on the expected co-variation between soil moisture at different depths. The algorithm is tested using observations from the NASA Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Mission over the Harvard Forest in Western Massachusetts. Additionally, at L-band, a multi-temporal algorithm is introduced to determine vegetation optical depth (VOD) alongside soil moisture. The multi-temporal approach used reduces the chance of compensating errors between the two retrieved parameters (soil moisture and vegetation optical depth), caused by small amounts of measurement noise. In several dry tropical ecosystems, the resulting VOD dataset is shown to have opposite temporal behavior to coincident cross-polarized backscattering coefficients, an active microwave indicator of vegetation water content and scattering. This possibly shows dry season bud-break or enduring litter presence in these regions. Lastly, cross-polarized backscattering coefficients are used to test the hypothesis that vegetation water refilling slows down under drought even at the ecosystem scale. Evidence for this hypothesis is only found in the driest location tested.
by Alexandra Georges Konings.
Ph. D.
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Albanwan, Hessah AMYM. "Remote Sensing Image Enhancement through Spatiotemporal Filtering." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492011122078055.

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Welle, Paul. "Remotely Sensed Data for High Resolution Agro-Environmental Policy Analysis." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1012.

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Policy analyses of agricultural and environmental systems are often limited due to data constraints. Measurement campaigns can be costly, especially when the area of interest includes oceans, forests, agricultural regions or other dispersed spatial domains. Satellite based remote sensing offers a way to increase the spatial and temporal resolution of policy analysis concerning these systems. However, there are key limitations to the implementation of satellite data. Uncertainty in data derived from remote-sensing can be significant, and traditional methods of policy analysis for managing uncertainty on large datasets can be computationally expensive. Moreover, while satellite data can increasingly offer estimates of some parameters such as weather or crop use, other information regarding demographic or economic data is unlikely to be estimated using these techniques. Managing these challenges in practical policy analysis remains a challenge. In this dissertation, I conduct five case studies which rely heavily on data sourced from orbital sensors. First, I assess the magnitude of climate and anthropogenic stress on coral reef ecosystems. Second, I conduct an impact assessment of soil salinity on California agriculture. Third, I measure the propensity of growers to adapt their cropping practices to soil salinization in agriculture. Fourth, I analyze whether small-scale desalination units could be applied on farms in California in order mitigate the effects of drought and salinization as well as prevent agricultural drainage from entering vulnerable ecosystems. And fifth, I assess the feasibility of satellite-based remote sensing for salinity measurement at global scale. Through these case studies, I confront both the challenges and benefits associated with implementing satellite based-remote sensing for improved policy analysis.
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Taherkia, Hassan. "Remote sensing applied to slope stability in mountainous roads in Iran." Thesis, Aston University, 1985. http://publications.aston.ac.uk/14233/.

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The Alborz Mountain range separates the northern part of Iran from the southern part. It also isolates a narrow coastal strip to the south of the Caspian Sea from the Central Iran plateau. Communication between the south and north until the 1950's was via two roads and one rail link. In 1963 work was completed on a major access road via the Haraz Valley (the most physically hostile area in the region). From the begining the road was plagued by accidents resulting from unstable slopes on either side of the valley. Heavy casualties persuaded the government to undertake major engineering works to eliminate ''black spots" and make the road safe. However, despite substantial and prolonged expenditure the problems were not solved and casualties increased steadily due to the increase in traffic using the road. Another road was built to bypass the Haraz road and opened to traffic in 1983. But closure of the Haraz road was still impossible because of the growth of settlements along the route and the need for access to other installations such as the Lar Dam. The aim of this research was to explore the possibility of applying Landsat MSS imagery to locating black spots along the road and the instability problems. Landsat data had not previously been applied to highway engineering problems in the study area. Aerial photographs are better in general than satellite images for detailed mapping, but Landsat images are superior for reconnaissance and adequate for mapping at the 1 :250,000 scale. The broad overview and lack of distortion in the Landsat imagery make the images ideal for structural interpretation. The results of Landsat digital image analysis showed that certain rock types and structural features can be delineated and mapped. The most unstable areas comprising steep slopes, free of vegetation cover can be identified using image processing techniques. Structural lineaments revealed from the image analysis led to improved results (delineation of unstable features). Damavand Quaternary volcanics were found to be the dominant rock type along a 40 km stretch of the road. These rock types are inherently unstable and partly responsible for the difficulties along the road. For more detailed geological and morphological interpretation a sample of small subscenes was selected and analysed. A special deve loped image analysis package was designed at Aston for use on a non specialized computing system. using this package a new and unique method for image classification was developed, allowing accurate delineation of the critical features of the study area.
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Unal, Alper. "MEASUREMENT, ANALYSIS, AND MODELING OF ON-ROAD VEHICLE EMISSIONS USING REMOTE SENSING." NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19990527-104246.

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The main objectives of this research are; to develop on-road emission factor estimates for carbon monoxide (CO) and hydrocarbon (HC) emissions; to collect traffic and vehicle parameters that might be important in explaining variability in vehicle emissions; to develop an empirical traffic-based model that can predict vehicle emissions based upon observable traffic and vehicle parameters. Remote sensing technology were employed to collect exhaust emissions data. Traffic parameters were collected using an area-wide traffic detector, MOBILIZER. During the measurements, license plates were also recorded to obtain information on vehicle parameters. Data were collected at two sites, having different road grades and site geometries, over 10 days of field work at the Research Triangle area of North Carolina. A total of 11,830 triggered measurement attempts were recorded. After post-processing, 7,056 emissions were kept in the data base as valid measurements. After combining with the traffic and license vehicle parameters, a data base has been developed. Exploratory analysis has been conducted to find variables that are important to explain the variability of the emission estimates. Statistical methods were used to compare the mean of the emissions estimates for different sub-populations. For example, multi-comparison analysis has been conducted to compare the mean emissions estimates from vehicles having different model years. This analysis showed that the mean emissions from older vehicles were statistically different than the mean emissions estimates from the recent model year vehicles.One of the contributions of the research was developing an empirical traffic-based emission estimation model. For this purpose, data collected during the study were used to develop a novel model which combines the Hierarchical Tree-Based Regression method and Ordinary Least Squares regression. The key findings from this research include: (1) the measured mean CO emission estimate for Research Triangle park area of North Carolina is estimated as 340 grams/gallon, whereas the mean HC emissions estimate is found to be as 47 grams/gallon (2) inter-vehicle variability in vehicle emissions can be as high as two orders-of-magnitude; (3) intra-vehicle variability is lower compared to the inter-vehicle variability; (4) some vehicle variables such as vehicle model year and vehicle type are important factors in explaining the inter-vehicle variability in emissions estimates; (5) emission estimation model developed in this research can be applied to estimate the emissions from on-road vehicles.

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Books on the topic "Civil remote sensing policy"

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Earth observation data policy. Chichester: John Wiley, 1997.

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Rao, U. R. Remote sensing for national development. Bangalore: Indian Space Research Organisation, 1991.

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Pace, Scott. Remote sensing and global competitiveness. Santa Monica, CA: RAND, 1993.

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Johnson, Dana J. U.S. space-based remote sensing: Challenges and prospects. Santa Monica, CA (P.O. Box 2138, Santa Monica 90407-2138): Rand, 1993.

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United States. Congress. House. Committee on Science, Space, and Technology. Commercial remote sensing in the post-cold war era: Joint hearing before the Committee on Science, Space, and Technology and the Permanent Select Committee on Intelligence, U.S. House of Representatives, One Hundred Third Congress, second session, February 9, 1994. Washington: U.S. G.P.O., 1994.

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Reddy, M. Anji. Textbook of remote sensing and geographical information systems. 3rd ed. Hyderabad [India]: BS Publications, 2008.

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Nuray, Demirel, ed. Remote sensing of the mine environment. New York: CRC Press, 2011.

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Borengasser, Marcus. Hyperspectral remote sensing: Principles and applications. Boca Raton: CRC Press, 2008.

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Hooper, Nancy J. Temporal and spatial analyses of civil marine satellite requirements. Rockville, MD: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1986.

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United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Natural Resources, Agriculture Research, and Environment. Long-term future of the Landsat system: Hearing before the Subcommittee on Natural Resources, Agriculture Research, and Environment and the Subcommittee on International Scientific Cooperation of the Committee on Science, Space, and Technology, U.S. House of Representatives, One Hundred First Congress, first session, May 9, 1989. Washington: U.S. G.P.O., 1989.

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Book chapters on the topic "Civil remote sensing policy"

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Cragg, Anthony, Dirk Buda, and Albert Nieuwenhuijs. "European Security Policy and Earth Observation." In Remote Sensing from Space, 21–31. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8484-3_2.

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Saharjo, Bambang Hero, and Alex Yungan. "Forest and Land Fires in Riau Province: A Case Study in Fire Prevention Policy Implementation with Local Concession Holders." In Springer Remote Sensing/Photogrammetry, 143–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67474-2_8.

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Cabboi, Alessandro, Carmelo Gentile, and Giacomo Zonno. "SHM of Vibrating Stay-Cables by Microwave Remote Sensing." In Lecture Notes in Civil Engineering, 276–85. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64908-1_26.

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Kumarapu, Kumar, M. Shashi, and K. Venkata Reddy. "Thermal Remote Sensing in Early Age Concrete Strength Estimation." In Lecture Notes in Civil Engineering, 59–70. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7067-0_4.

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Aarfin, Samshul, Rishi Prakash, and Nitin Mishra. "Land Vegetation Change Detection Using Remote Sensing and GIS." In Lecture Notes in Civil Engineering, 265–74. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6463-5_25.

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Cabboi, Alessandro, Carmelo Gentile, and Giacomo Zonno. "SHM of Vibrating Stay-Cables by Microwave Remote Sensing." In Lecture Notes in Civil Engineering, 276–85. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64908-1_26.

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Francis, Akhil, R. Kevin, Girigan Gopi, and Rajesh Baby. "Soil Organic Carbon Estimation Using Remote Sensing Technique." In Springer Transactions in Civil and Environmental Engineering, 405–12. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1063-2_33.

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Laefer, Debra F. "Harnessing Remote Sensing for Civil Engineering: Then, Now, and Tomorrow." In Lecture Notes in Civil Engineering, 3–30. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7067-0_1.

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Bhandari, Ashish, Nitin Mishra, and K. K. Gupta. "Water Body Mapping of Chennai Region Using GIS and Remote Sensing." In Lecture Notes in Civil Engineering, 203–20. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6463-5_20.

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John, Jeenu, R. Jaganathan, and D. S. Dharshan Shylesh. "Mapping of Soil Moisture Index Using Optical and Thermal Remote Sensing." In Lecture Notes in Civil Engineering, 759–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80312-4_65.

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Conference papers on the topic "Civil remote sensing policy"

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Aten, Michelle L. "Landsat 7 processing software and data dissemination policy issues." In Remote Sensing, edited by Hiroyuki Fujisada and Joan B. Lurie. SPIE, 1999. http://dx.doi.org/10.1117/12.373225.

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Daraio, M. G., M. L. Battagliere, P. Sacco, L. Fasano, and A. Coletta. "A new service support tool for COSMO-SkyMed: civil user coordination service and civil request management optimization." In SPIE Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2015. http://dx.doi.org/10.1117/12.2194914.

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O'Bryan, Jennifer. "Public Policy Update: Export Control, Advocacy, and More." In SPIE Remote Sensing Industry Talks, edited by Conference Chair. SPIE, 2020. http://dx.doi.org/10.1117/12.2582386.

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Barone, F., and G. Giordano. "Tunable mechanical monolithic sensors for real-time broadband monitoring of large civil infrastructures." In SPIE Remote Sensing, edited by Thilo Erbertseder, Thomas Esch, and Nektarios Chrysoulakis. SPIE, 2016. http://dx.doi.org/10.1117/12.2242085.

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Cicala, Luca, Cesario Vincenzo Angelino, Nicomino Fiscante, and Mariano Focareta. "Estimated post-flood effects through Sentinel and Landsat data to support civil protection." In SPIE Remote Sensing, edited by Ulrich Michel, Karsten Schulz, Manfred Ehlers, Konstantinos G. Nikolakopoulos, and Daniel Civco. SPIE, 2016. http://dx.doi.org/10.1117/12.2242630.

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Moghaddam, Mahta, Ruzbeh Akbar, Sam Prager, Agnelo Silva, and Dara Entekhabi. "SPCTOR: Sensing Policy Controller and Optimizer." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9323518.

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Aten, Michelle L., and Mark A. Hover. "Assessment of the U.S. policy of shutter control and its impact on U.S. commercial remote sensing firms." In Europto Remote Sensing, edited by Hiroyuki Fujisada, Joan B. Lurie, Alexander Ropertz, and Konradin Weber. SPIE, 2001. http://dx.doi.org/10.1117/12.417144.

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Bertacchini, Eleonora, Cristina Castagnetti, Alessandro Corsini, and Stefano De Cono. "Remotely Piloted Aircraft Systems (RPAS) for high resolution topography and monitoring: civil protection purposes on hydrogeological contexts." In SPIE Remote Sensing, edited by Ulrich Michel and Karsten Schulz. SPIE, 2014. http://dx.doi.org/10.1117/12.2067406.

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Astrand, Par-Johan, Csaba Wirnhardt, Bruno Biagini, Michaela Weber, and Rani Hellerman. "Controls with remote sensing of Common Agricultural Policy (CAP) arable- and forage- area-based subsidies: a yearly more than 700-image and 3-M euro affair." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2004. http://dx.doi.org/10.1117/12.565580.

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Tsourdos, Antonios, Ir Adhi Dharma Permana, Dewi H. Budiarti, Hyo-Sang Shin, and Chang-Hun Lee. "Developing Flight Control Policy Using Deep Deterministic Policy Gradient." In 2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES). IEEE, 2019. http://dx.doi.org/10.1109/icares.2019.8914343.

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Reports on the topic "Civil remote sensing policy"

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Dysart, Mary D. Remote Sensing and Mass Migration Policy Development. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada562466.

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Dysart, Mary D. Remote Sensing and Mass Migration Policy Development. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada567838.

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