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Journal articles on the topic 'Geo-Information Science'

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1

Deren, LI. "The Geo-spatial Information Science mission." Geo-spatial Information Science 15, no. 1 (March 2012): 1–2. http://dx.doi.org/10.1080/10095020.2012.708142.

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2

Kumar M., Senthil, and V. Mathivanan. "Geo-Spatial Information for Managing Ambiguity." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 3 (December 1, 2017): 636. http://dx.doi.org/10.11591/ijeecs.v8.i3.pp636-638.

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<p>An innate test emerging in any dataset containing data of space as well as time is vulnerability due to different wellsprings of imprecision. Incorporating the effect of the instability is a principal while evaluating the unwavering quality (certainty) of any question result from the hidden information. To bargain with vulnerability, arrangements have been proposed freely in the geo-science and the information science look into group. This interdisciplinary instructional exercise crosses over any barrier between the two groups by giving an exhaustive diagram of the distinctive difficulties required in managing indeterminate geo-spatial information, by looking over arrangements from both research groups, and by distinguishing likenesses, cooperative energies and open research issues.</p>
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3

Albrecht, Jochen. "Towards interoperable geo-information standards: A comparison of reference models for geo-spatial information." Annals of Regional Science 33, no. 2 (May 17, 1999): 151–69. http://dx.doi.org/10.1007/s001680050098.

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4

Li, DeRen, and ZhenFeng Shao. "The new era for geo-information." Science in China Series F: Information Sciences 52, no. 7 (July 2009): 1233–42. http://dx.doi.org/10.1007/s11432-009-0122-9.

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5

Zhussupbekov, A. Zh, N. T. Alibekova, S. B. Akhazhanov, N. U. Shakirova, and A. B. Alpyssova. "Geotechnical Geo-Information System of Astana." Soil Mechanics and Foundation Engineering 55, no. 6 (January 2019): 420–24. http://dx.doi.org/10.1007/s11204-019-09558-x.

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6

He, Long-hua, and Junjie Li. "Geo-Information (Lake Data) Service Based on Ontology." Data Science Journal 6 (2007): S884—S888. http://dx.doi.org/10.2481/dsj.6.s884.

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7

Liu, Dunlong, Lei He, Qian Wu, Yan Gao, Bin Liu, Shuang Liu, and Han Luo. "Construction and application of the 3D geo-hazard monitoring and early warning platform." Open Geosciences 13, no. 1 (January 1, 2021): 1040–52. http://dx.doi.org/10.1515/geo-2020-0293.

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Abstract As geo-hazard monitoring data increases in category and size, conventional geo-hazard information management systems, without a unified integration framework and visualized data display, are unable to satisfy the urgent needs of geo-hazard information management. Representational State Transfer (REST), a resource-centered service architecture, abstracts data and services into resources for unified Uniform Resource Identifier access, enabling it to take full advantage of HTTP with great flexibility and scalability. Based on the REST service architecture, this paper constructs a 3D geo-hazard monitoring and early warning platform with sound service compatibility and scalability by integrating geographical information, real-time monitoring data, and early warning models into the 3D Digital Earth framework. The platform displays topography, stratum lithology, and relevant information, as well as real-time monitoring data in a 3D visual, and provides early warning services for geo-hazards through access to real-time early warning models. As a result, it is capable of providing comprehensive information management, monitoring, and early warning of multiple geo-hazards, aiding decision-making in disaster prevention and mitigation, and enhancing the information level of geo-hazard prevention and mitigation work.
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8

Li, Deren. "20th Anniversary editorial: past, present, and future of Geo-spatial Information Science." Geo-spatial Information Science 20, no. 1 (January 2, 2017): 1–2. http://dx.doi.org/10.1080/10095020.2017.1305688.

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9

Willmes, C., D. Becker, J. Verheul, Y. Yener, M. Zickel, A. Bolten, O. Bubenzer, and G. Bareth. "AN OPEN SCIENCE APPROACH TO GIS-BASED PALEOENVIRONMENT DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 159–64. http://dx.doi.org/10.5194/isprsannals-iii-2-159-2016.

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Paleoenvironmental studies and according information (data) are abundantly published and available in the scientific record. However, GIS-based paleoenvironmental information and datasets are comparably rare. Here, we present an Open Science approach for creating GIS-based data and maps of paleoenvironments, and Open Access publishing them in a web based Spatial Data Infrastructure (SDI), for access by the archaeology and paleoenvironment communities. We introduce an approach to gather and create GIS datasets from published non-GIS based facts and information (data), such as analogous maps, textual information or figures in scientific publications. These collected and created geo-datasets and maps are then published, including a Digital Object Identifier (DOI) to facilitate scholarly reuse and citation of the data, in a web based Open Access Research Data Management Infrastructure. The geo-datasets are additionally published in an Open Geospatial Consortium (OGC) standards compliant SDI, and available for GIS integration via OGC Open Web Services (OWS).
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Willmes, C., D. Becker, J. Verheul, Y. Yener, M. Zickel, A. Bolten, O. Bubenzer, and G. Bareth. "AN OPEN SCIENCE APPROACH TO GIS-BASED PALEOENVIRONMENT DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 159–64. http://dx.doi.org/10.5194/isprs-annals-iii-2-159-2016.

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Paleoenvironmental studies and according information (data) are abundantly published and available in the scientific record. However, GIS-based paleoenvironmental information and datasets are comparably rare. Here, we present an Open Science approach for creating GIS-based data and maps of paleoenvironments, and Open Access publishing them in a web based Spatial Data Infrastructure (SDI), for access by the archaeology and paleoenvironment communities. We introduce an approach to gather and create GIS datasets from published non-GIS based facts and information (data), such as analogous maps, textual information or figures in scientific publications. These collected and created geo-datasets and maps are then published, including a Digital Object Identifier (DOI) to facilitate scholarly reuse and citation of the data, in a web based Open Access Research Data Management Infrastructure. The geo-datasets are additionally published in an Open Geospatial Consortium (OGC) standards compliant SDI, and available for GIS integration via OGC Open Web Services (OWS).
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11

Pfeffer, Karin, and Yola Georgiadou. "Global Ambitions, Local Contexts: Alternative Ways of Knowing the World." ISPRS International Journal of Geo-Information 8, no. 11 (November 15, 2019): 516. http://dx.doi.org/10.3390/ijgi8110516.

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In this Special Issue, we bring together contributions from authors in the scientific discipline Geo-Information Science who engaged with the question: How does Geo-Information Science contribute to the development of Sustainable Development Goals (SDG) indicators? The editorial to the Special Issue situates the individual contributions in a broader social science debate, which critically examines the quantification of global policy goals and its effects on how we know and govern the world. We put forward concepts of ‘measuring the world’ and a brief history of the Geo-Information Science discipline, including its dominant positivist paradigm as well as scholarly debates that reflected on and shifted that paradigm. Given the global policy focus of the SDGs, we also briefly discuss policy science paradigms. We analyze the individual articles with regard to their contribution to the SDG indicator development trajectory. We also show how alternative ways of knowing and governing the world complement the dominant positivist paradigm.
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12

Freitas, Sérgio, Maria Beatriz Carmo, and Ana Paula Afonso. "A personalized visualization tool for geo-referenced information." ACM SIGCSE Bulletin 37, no. 3 (September 2005): 398. http://dx.doi.org/10.1145/1151954.1067602.

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Nedović-Budić, Zorica, and Tschangho John Kim. "Special issue on geo-spatial information sharing and standardization." Annals of Regional Science 33, no. 2 (May 17, 1999): 141–43. http://dx.doi.org/10.1007/s001680050096.

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14

Wang, Shawn, Susamma Barua, Kunal Desai, and Swaroop Deshmukh. "GeoTNavi - smart navigation using geo-temporal traffic information." International Journal of Data Mining, Modelling and Management 5, no. 1 (2013): 20. http://dx.doi.org/10.1504/ijdmmm.2013.051922.

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15

Claeyman, M., J. L. Attié, V. H. Peuch, L. El Amraoui, W. A. Lahoz, B. Josse, P. Ricaud, et al. "A geostationary thermal infrared sensor to monitor the lowermost troposphere: O<sub>3</sub> and CO retrieval studies." Atmospheric Measurement Techniques Discussions 3, no. 4 (August 18, 2010): 3489–534. http://dx.doi.org/10.5194/amtd-3-3489-2010.

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Abstract. This paper describes the capabilities of a nadir thermal infrared (TIR) sensor proposed for embarkation onboard a geostationary platform to monitor ozone (O3) and carbon monoxide (CO) for air quality (AQ) purposes. To assess the capabilities of this sensor we perform idealized retrieval studies considering typical atmospheric profiles of O3 and CO over Europe with different instrument configurations (signal to noise ratio and spectral sampling interval) using the KOPRA forward model and the KOPRA-fit retrieval scheme based on the Tikhonov-Phillips regularization. We then select a configuration, referred to as GEO-TIR, optimized for providing information in the lowermost troposphere (LmT; 0–3 km in height). For the GEO-TIR configuration we obtain around 1.5 degrees of freedom for O3 and 2 for CO at altitudes between 0 and 15 km. The error budget of GEO-TIR, calculated taking account of the principal contributions to the error (namely, temperature, measurement error, smoothing error) shows that information in the LmT can be achieved by GEO-TIR. We also retrieve analogous profiles from another geostationary infrared instrument with characteristics similar to the Meteosat Third Generation Infrared Sounder (MTG-IRS) which is dedicated to numerical weather prediction, referred to as GEO-TIR2. Comparison between GEO-TIR and GEO-TIR2 allows us to quantify the added value of GEO-TIR, a mission complementing the AQ observing system. To better characterize the information provided by GEO-TIR and GEO-TIR2 in the LmT, we retrieve two typical profiles of O3 and CO for different thermal contrast ranging from –10 K to 10 K. The shape of the first averaging kernel (corresponding to the surface level) confirms that GEO-TIR has good sensitivity to CO in the LmT and also to O3 for high positive thermal contrast. GEO-TIR2 has very low sensitivity in the LmT to O3 but can have sensitivity to CO with high positive thermal contrast. To quantify these results for a realistic atmosphere, we simulate it using the chemical transport model MOCAGE (MOdèle de Chimie Atmospherique à Grande Echelle) – this is the nature run. We simulate the O3 and CO spatial and temporal distributions from GEO-TIR observations in the LmT in July 2009 over Europe by sampling the nature run. Results show that GEO-TIR is able to capture well the spatial and temporal variability in the LmT for both O3 and CO, particularly during periods with high positive thermal contrast near the ground and high surface temperature, which results in active photochemistry and a raised planetary boundary layer. These results also provide evidence of the significant added value in the LmT of GEO-TIR compared to GEO-TIR2 by showing GEO-TIR is closer to the nature run than GEO-TIR2 for various statistical parameters (correlation, bias, standard deviation).
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16

Claeyman, M., J. L. Attié, V. H. Peuch, L. El Amraoui, W. A. Lahoz, B. Josse, P. Ricaud, et al. "A geostationary thermal infrared sensor to monitor the lowermost troposphere: O<sub>3</sub> and CO retrieval studies." Atmospheric Measurement Techniques 4, no. 2 (February 16, 2011): 297–317. http://dx.doi.org/10.5194/amt-4-297-2011.

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Abstract. This paper describes the capabilities of a nadir thermal infrared (TIR) sensor proposed for deployment onboard a geostationary platform to monitor ozone (O3) and carbon monoxide (CO) for air quality (AQ) purposes. To assess the capabilities of this sensor we perform idealized retrieval studies considering typical atmospheric profiles of O3 and CO over Europe with different instrument configuration (signal to noise ratio, SNR, and spectral sampling interval, SSI) using the KOPRA forward model and the KOPRA-fit retrieval scheme. We then select a configuration, referred to as GEO-TIR, optimized for providing information in the lowermost troposphere (LmT; 0–3 km in height). For the GEO-TIR configuration we obtain ~1.5 degrees of freedom for O3 and ~2 for CO at altitudes between 0 and 15 km. The error budget of GEO-TIR, calculated using the principal contributions to the error (namely, temperature, measurement error, smoothing error) shows that information in the LmT can be achieved by GEO-TIR. We also retrieve analogous profiles from another geostationary infrared instrument with SNR and SSI similar to the Meteosat Third Generation Infrared Sounder (MTG-IRS) which is dedicated to numerical weather prediction, referred to as GEO-TIR2. We quantify the added value of GEO-TIR over GEO-TIR2 for a realistic atmosphere, simulated using the chemistry transport model MOCAGE (MOdèle de Chimie Atmospherique à Grande Echelle). Results show that GEO-TIR is able to capture well the spatial and temporal variability in the LmT for both O3 and CO. These results also provide evidence of the significant added value in the LmT of GEO-TIR compared to GEO-TIR2 by showing GEO-TIR is closer to MOCAGE than GEO-TIR2 for various statistical parameters (correlation, bias, standard deviation).
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17

Boccardo, Piero, and Fulvio Rinaudo. "Gi4DM—Geo-information for Disaster Management—Torino, February 2010." Applied Geomatics 3, no. 2 (May 11, 2011): 59–60. http://dx.doi.org/10.1007/s12518-011-0051-3.

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18

Paul, P. K., P. S. Aithal, and A. Bhuimali. "Environmental Informatics and Educational Opportunities in Post Graduate level—Indian Potentialities based on International Scenario." IRA-International Journal of Management & Social Sciences (ISSN 2455-2267) 16, no. 2 (June 19, 2020): 45. http://dx.doi.org/10.21013/jmss.v16.n2.p2.

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The academic sector is changing rapidly and different components have been added in the academic components. The education systems including academic bodies, programs, educational institutes change different aspects in the recent past. The interdisciplinary sciences are booming internationally. Among the interdisciplinary subjects, Environmental Sciences is an important one. On the other hand, Information Science is also truly interdisciplinary. This Information Science is also called as Informatics. The fusion or combination of these two subjects led the new academic body called ‘Environmental Informatics’. Environmental Informatics is very close with exiting field Geo-Informatics and thus it is also called as an extension of Geo-Informatics. Environmental Informatics is the solution to different environmental affairs, issues, problems, etc. Internationally, many universities have started academic programs on Environmental Informatics leading to Certificate, Diploma, Bachelors, Masters, MPhil, PhD in the subject. The present paper is an overview of Environmental Informatics including its features, functions, stakeholders emphasizing the availability of Post Graduate Programs in the field. Paper highlighted the course contents, job prospects, carrier opportunities in brief. Paper also proposed the possible programs at Masters levels; which can be a good solution both for abroad and the Indian education system.
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Breunig, Martin, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis, and Mojgan Jadidi. "Geospatial Data Management Research: Progress and Future Directions." ISPRS International Journal of Geo-Information 9, no. 2 (February 4, 2020): 95. http://dx.doi.org/10.3390/ijgi9020095.

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Without geospatial data management, today’s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatial data management plays a connecting role between data acquisition, data modelling, data visualization, and data analysis. It enables the continuous availability of geospatial data and the replicability of geospatial data analysis. In the first part of this article, five milestones of geospatial data management research are presented that were achieved during the last decade. The first one reflects advancements in BIM/GIS integration at data, process, and application levels. The second milestone presents theoretical progress by introducing topology as a key concept of geospatial data management. In the third milestone, 3D/4D geospatial data management is described as a key concept for city modelling, including subsurface models. Progress in modelling and visualization of massive geospatial features on web platforms is the fourth milestone which includes discrete global grid systems as an alternative geospatial reference framework. The intensive use of geosensor data sources is the fifth milestone which opens the way to parallel data storage platforms supporting data analysis on geosensors. In the second part of this article, five future directions of geospatial data management research are presented that have the potential to become key research fields of geospatial data management in the next decade. Geo-data science will have the task to extract knowledge from unstructured and structured geospatial data and to bridge the gap between modern information technology concepts and the geo-related sciences. Topology is presented as a powerful and general concept to analyze GIS and BIM data structures and spatial relations that will be of great importance in emerging applications such as smart cities and digital twins. Data-streaming libraries and “in-situ” geo-computing on objects executed directly on the sensors will revolutionize geo-information science and bridge geo-computing with geospatial data management. Advanced geospatial data visualization on web platforms will enable the representation of dynamically changing geospatial features or moving objects’ trajectories. Finally, geospatial data management will support big geospatial data analysis, and graph databases are expected to experience a revival on top of parallel and distributed data stores supporting big geospatial data analysis.
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Kundu, Arnab, N. R. Patel, S. K. Saha, and Dipanwita Dutta. "Monitoring the extent of desertification processes in western Rajasthan (India) using geo-information science." Arabian Journal of Geosciences 8, no. 8 (October 18, 2014): 5727–37. http://dx.doi.org/10.1007/s12517-014-1645-y.

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21

Claeyman, M., J. L. Attié, V. H. Peuch, L. El Amraoui, W. A. Lahoz, B. Josse, M. Joly, et al. "A thermal infrared instrument onboard a geostationary platform for CO and O<sub>3</sub> measurements in the lowermost troposphere: Observing System Simulation Experiments (OSSE)." Atmospheric Measurement Techniques 4, no. 8 (August 26, 2011): 1637–61. http://dx.doi.org/10.5194/amt-4-1637-2011.

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Abstract. This paper presents observing system simulation experiments (OSSEs) to compare the relative capabilities of two geostationary thermal infrared (TIR) instruments to measure ozone (O3) and carbon monoxide (CO) for monitoring air quality (AQ) over Europe. The primary motivation of this study is to use OSSEs to assess how these infrared instruments can constrain different errors affecting AQ hindcasts and forecasts (emissions, meteorology, initial condition and the 3 parameters together). The first instrument (GEO-TIR) has a configuration optimized to monitor O3 and CO in the lowermost troposphere (LmT; defined to be the atmosphere between the surface and 3 km), and the second instrument (GEO-TIR2) is designed to monitor temperature and humidity. Both instruments measure radiances in the same spectral TIR band. Results show that GEO-TIR could have a significant impact (GEO-TIR is closer to the reference atmosphere than GEO-TIR2) on the analyses of O3 and CO LmT column. The information added by the measurements for both instruments is mainly over the Mediterranean Basin and some impact can be found over the Atlantic Ocean and Northern Europe. The impact of GEO-TIR is mainly above 1 km for O3 and CO but can also improve the surface analyses for CO. The analyses of GEO-TIR2 show low impact for O3 LmT column but a significant impact (although still lower than for GEO-TIR) for CO above 1 km. The results of this study indicate the beneficial impact from an infrared instrument (GEO-TIR) with a capability for monitoring O3 and CO concentrations in the LmT, and quantify the value of this information for constraining AQ models.
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22

Haklay, Muki, Piotr Jankowski, and Zbigniew Zwoliński. "Selected Modern Methods and Tools for Public Participation in Urban Planning – A Review." Quaestiones Geographicae 37, no. 3 (September 6, 2018): 127–49. http://dx.doi.org/10.2478/quageo-2018-0030.

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Abstract The paper presents a review of contributions to the scientific discussion on modern methods and tools for public participation in urban planning. This discussion took place in Obrzycko near Poznań, Poland. The meeting was designed to allow for an ample discussion on the themes of public participatory geographic information systems, participatory geographic information systems, volunteered geographic information, citizen science, Geoweb, geographical information and communication technology, Geo-Citizen participation, geo-questionnaire, geo-discussion, GeoParticipation, Geodesign, Big Data and urban planning. Participants in the discussion were scholars from Austria, Brazil, the Czech Republic, Finland, Ireland, Italy, the Netherlands, Poland, the United Kingdom, and the USA. A review of public participation in urban planning shows new developments in concepts and methods rooted in geography, landscape architecture, psychology, and sociology, accompanied by progress in geoinformation and communication technologies. The discussions emphasized that it is extremely important to state the conditions of symmetric cooperation between city authorities, urban planners and public participation representatives, social organizations, as well as residents.
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23

Akinyemi, Felicia O. "Incorporating Geographic Information Science in the BSc Environ-mental Science Program in Botswana." Proceedings of the ICA 1 (May 16, 2018): 1–8. http://dx.doi.org/10.5194/ica-proc-1-3-2018.

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Critical human capacity in Geographic Information Science (GISc) is developed at the Botswana International University of Science and Technology, a specialized, research university. Strategies employed include GISc courses offered each semester to students from various programs, the conduct of field-based projects, enrolment in online courses, geo-spatial initiatives with external partners, and final year research projects utilizing geospatial technologies. A review is made of available GISc courses embedded in the Bachelor of Science Environmental Science program. GISc courses are incorporated in three Bachelor degree programs as distinct courses. Geospatial technologies are employed in several other courses. Student researches apply GIS and Remote Sensing methods to environmental and geological themes. The overarching goals are to equip students in various disciplines to utilize geospatial technologies, and enhance their spatial thinking and reasoning skills.
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24

Pathak, Dinesh. "Geohazard assessment along the road alignment using remote sensing and GIS: Case study of Taplejung-Olangchunggola-Nangma road section, Taplejung district, east Nepal." Journal of Nepal Geological Society 47, no. 1 (June 30, 2014): 47–56. http://dx.doi.org/10.3126/jngs.v47i1.23103.

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Landslides and roadside slope failures resulting in road blockage, damage and economic losses are regular phenomena in the mountain regions of Nepal. Road construction in the northern belt of Himalaya is a challenging task, mainly due to the anticipated geo hazard in the region and remoteness of the area. The situation is often intensified in the region due to limited engineering geological and geotechnical information. The geo disaster risk further increases due to road construction. Geo hazard assessment is prerequisite to have best road alignment in mountain areas that are basically landslide-prone in many cases. The products of space science (like satellite imageries) could be a better choice for this purpose because of availability of high resolution imageries and their ready availability. The data acquired from space borne technology can be used to better assess the geological hazard condition along the road alignment. The present paper focuses to this aspect with the case study of a road section of Taplejung-Olangchunggola- Nangma, reaching the Nepal-Tibet border. The geo hazard assessment along the road corridor has been carried out through extracting the relevant information from satellite images in addition to the use of available secondary information as well as field study. A GIS database has been developed with the required information, which was used to prepare various thematic layers (like geology, drainage density, slope, aspect, rainfall), followed by further analysis. The suitability of the existing alignment has been evaluated with respect to the geo hazard condition along the road alignment.
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Griffiths, J. A. "Teaching "Digital Earth" technologies in Environmental Sciences." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-6 (April 14, 2014): 1–6. http://dx.doi.org/10.5194/isprsannals-ii-6-1-2014.

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As part of a review process for a module entitled "Digital Earth" which is currently taught as part of a BSc in Environmental Sciences program, research into the current provision of Geographical Information Science and Technology (GIS&T) related modules on UKbased Environmental Science degrees is made. The result of this search is used with DiBiase et al. (2006) "Body of Knowledge of GIS&T" to develop a foundation level module for Environmental Sciences. Reference is also made to the current provision geospatial analysis techniques in secondary and tertiary education in the UK, US and China, and the optimal use of IT and multimedia in geo-education.
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26

Li, D. "On generalised and specialised spatial information grids: are geo-services ready?" International Journal of Digital Earth 1, no. 4 (December 2008): 315–25. http://dx.doi.org/10.1080/17538940802420853.

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Al-Khudhairy, Delilah H. A. "Geo-spatial information and technologies in support of EU crisis management." International Journal of Digital Earth 3, no. 1 (March 2010): 16–30. http://dx.doi.org/10.1080/17538940903506014.

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28

Yasa R, I. Gede Danan Segara, Ciptadi Trimarianto, and I. Wayan Kastawan. "Geo park Area Of Tourism Products and Information Center in Kintamani, Bali." Journal of A Sustainable Global South 5, no. 1 (February 28, 2021): 30. http://dx.doi.org/10.24843/jsgs.2021.v05.i01.p06.

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Tourism Information Center and Product Showcase is a place that functions to promote, inform and sell tourism prod-ucts in Kintamani.The function of this place is to inform the tourists who visit Batur Geopark so they can be more familiar with tourism products, which are divided into tourism products and goods products. Tourism products accommodated in this place are tourism object, tourism attraction, and service products, while for goods product accommodated are culinary products, handicrafts, and souvenirs. There are three important elements in designing: function, structure and aesthetic. From these elements, the aesthetic element is an element that distinguishes architecture from other design science. In order to achieve aesthetic element, there are 6 principles: (1) Unity, (2) Balance, (3) Proportion, (4) Scale, (5) Rhythm, and (6) Emphasis. In designing Information Center and Tourism Product Showcase of Batur Geopark in Kintamani the principles mentioned are applied to the building façade elements. Index Terms— information center and tourism product showcase, facade, aestheticsu
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Kerstens, Nathalie, Christina Giannopapa, Sharon Dolmans, and Isabelle Reymen. "Down to earth: Popularisation of geo-information services in the Netherlands." Space Policy 41 (August 2017): 12–19. http://dx.doi.org/10.1016/j.spacepol.2017.04.001.

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30

Ormeling, Ferjan. "Map Use Steps and Their Data Quality Requirements." Cartographic Perspectives, no. 28 (September 1, 1997): 21–24. http://dx.doi.org/10.14714/cp28.688.

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We want to better understand geo-information production lines so that we can represent data quality concerns on our maps. And, we must be concerned that not only do we get the right data to the user but that the user gets the data right. We need research to find optimal geo-information production lines, to assess data quality, to link quality to intended uses, and to visualize the results in effective ways. This may involve using fuzzy and crisp symbols, or employing possibility and probability values.
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Shortis, Mark. "ISPRS Commission VI Symposium: Cross Border Education for Global Geo-Information." Photogrammetric Record 25, no. 132 (December 2010): 461–62. http://dx.doi.org/10.1111/j.1477-9730.2010.00608.x.

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32

Hache, E., J. L. Attié, C. Tourneur, P. Ricaud, L. Coret, W. A. Lahoz, L. El Amraoui, et al. "The added value of a visible channel to a geostationary thermal infrared instrument to monitor ozone for air quality." Atmospheric Measurement Techniques 7, no. 7 (July 22, 2014): 2185–201. http://dx.doi.org/10.5194/amt-7-2185-2014.

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Abstract. Ozone is a tropospheric pollutant and plays a key role in determining the air quality that affects human wellbeing. In this study, we compare the capability of two hypothetical grating spectrometers onboard a geostationary (GEO) satellite to sense ozone in the lowermost troposphere (surface and the 0–1 km column). We consider 1 week during the Northern Hemisphere summer simulated by a chemical transport model, and use the two GEO instrument configurations to measure ozone concentration (1) in the thermal infrared (GEO TIR) and (2) in the thermal infrared and the visible (GEO TIR+VIS). These configurations are compared against each other, and also against an ozone reference state and a priori ozone information. In a first approximation, we assume clear sky conditions neglecting the influence of aerosols and clouds. A number of statistical tests are used to assess the performance of the two GEO configurations. We consider land and sea pixels and whether differences between the two in the performance are significant. Results show that the GEO TIR+VIS configuration provides a better representation of the ozone field both for surface ozone and the 0–1 km ozone column during the daytime especially over land.
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33

Hache, E., J. L. Attié, C. Tourneur, P. Ricaud, L. Coret, W. A. Lahoz, L. El Amraoui, et al. "The added value of a visible channel to a geostationary thermal infrared instrument to monitor ozone for air quality." Atmospheric Measurement Techniques Discussions 7, no. 2 (February 17, 2014): 1645–89. http://dx.doi.org/10.5194/amtd-7-1645-2014.

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Abstract. Ozone is a tropospheric pollutant and plays a key role in determining the air quality that affects human wellbeing. In this study, we compare the capability of two hypothetical grating spectrometers onboard a geostationary (GEO) satellite to sense ozone in the lowermost troposphere (surface and the 0–1 km column). We consider one week during the Northern Hemisphere summer simulated by a chemical transport model, and use the two GEO instrument configurations to measure ozone concentration (1) in the thermal infrared (GEO TIR) and (2) in the thermal infrared and the visible (GEO TIR+VIS). These configurations are compared against each other, and also against an ozone reference state and a priori ozone information. In a first approximation, we assume clear sky conditions neglecting the influence of aerosols and clouds. A number of statistical tests are used to assess the performance of the two GEO configurations. We consider land and sea pixels and whether differences between the two in the performance are significant. Results show that the GEO TIR+VIS configuration provides a better representation of the ozone field both for surface ozone and the 0–1 km ozone column during the daytime especially over land.
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34

Claeyman, M., J. L. Attié, V. H. Peuch, L. El Amraoui, W. A. Lahoz, B. Josse, M. Joly, et al. "A thermal infrared instrument onboard a geostationary platform for CO and O<sub>3</sub> measurements in the lowermost troposphere: observing system simulation experiments." Atmospheric Measurement Techniques Discussions 4, no. 1 (February 2, 2011): 815–72. http://dx.doi.org/10.5194/amtd-4-815-2011.

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Abstract. This paper presents observing system simulation experiments (OSSEs) to compare the relative capabilities of two geostationary thermal infrared (TIR) instruments to monitor ozone (O3) and carbon monoxide (CO) for air quality (AQ) purposes over Europe. The originality of this study is to use OSSEs to assess how these infrared instruments can constrain different errors affecting AQ hindcasts and forecasts (emissions, meteorology, initial condition and the 3 parameters together). The first instrument (GEO-TIR) has a configuration optimized to monitor O3 and CO in the lowermost tr posphere (LmT; defined to be the atmosphere between the surface and 3 km), and the second instrument (GEO-TIR2) is designed to monitor temperature and humidity. Both instruments measure radiances in the same spectral TIR band. Results show that GEO-TIR could have a significant impact (GEO-TIR is closer to the reference atmosphere than GEO-TIR2) on the analyses of O3 and CO LmT column. The value of the measurements for both instruments is mainly over the Mediterranean Basin and some impact can be found over the Atlantic Ocean and Northern Europe. The impact of GEO-TIR is mainly above 1 km for O3 and CO but can also improve the surface analyses for CO. The analyses of GEO-TIR2 show low impact for O3 LmT column but a significant impact (but lower than for GEO-TIR) for CO above 1 km. The results of this study indicate the beneficial impact from an infrared instrument (GEO-TIR) dedicated to monitoring O3 and CO concentrations in the LmT, and quantify the value of this information for constraining AQ models.
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35

Li, Haifeng, and Bo Wu. "Adaptive geo-information processing service evolution: Reuse and local modification method." ISPRS Journal of Photogrammetry and Remote Sensing 83 (September 2013): 165–83. http://dx.doi.org/10.1016/j.isprsjprs.2013.03.002.

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36

van Westen, Cees, and Tsehaie Woldai. "The RiskCity Training Package on Multi-Hazard Risk Assessment." International Journal of Applied Geospatial Research 3, no. 1 (January 2012): 41–52. http://dx.doi.org/10.4018/jagr.2012010104.

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As part of the capacity-building activities of the United Nations University – ITC School on Disaster Geo-Information Management (UNU-ITC DGIM) the International Institute for Geo-information Science and Earth Observation (ITC) has developed a training package on the application of GIS for multi-hazard risk assessment. The package, called RiskCity comprises a complete suite of exercise descriptions, together with GIS data and presentation materials on the various steps required to collect and analyze relevant spatial data for hazard, vulnerability and risk assessment in an urban environment. The package has been developed in collaboration with several partner organizations on different continents, and is used as the basis for a series of courses. Currently it is available as a distance education course.
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Georgiadou, Yola, and Jantien Stoter. "Studying the use of geo-information in government – A conceptual framework." Computers, Environment and Urban Systems 34, no. 1 (January 2010): 70–78. http://dx.doi.org/10.1016/j.compenvurbsys.2009.04.002.

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38

Chai, Hong, and Jiu Yuan Huo. "A Study on Grid-Based Geography Visualization Environment." Applied Mechanics and Materials 367 (August 2013): 513–17. http://dx.doi.org/10.4028/www.scientific.net/amm.367.513.

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Visualization is an efficient technology to display the information and the inherent properties of geographic data, mine the regularity and development trends between the data and give researchers the unexpected insight. As the using and distribution of visualization resources exists imbalance, in order to meet the need of Geography Science, this paper presented a Grid Computing-based High-performance Visualization Environment. This environment is based on the mature grid middleware, CGSP to achieve the Grid integration and sharing of the geo science visualization software. A demonstration application was discussed to verify the visualization environment. The environment would achieve the visualization of the massive geo-spatial data efficiently and expediently, enhance the collaborative research to solve problems and improve their research environment.
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Dhonju, H. K., W. Xiao, B. Shakya, J. P. Mills, and V. Sarhosis. "DOCUMENTATION OF HERITAGE STRUCTURES THROUGH GEO-CROWDSOURCING AND WEB-MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 17–21. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-17-2017.

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Heritage documentation has become increasingly urgent due to both natural impacts and human influences. The documentation of countless heritage sites around the globe is a massive project that requires significant amounts of financial and labour resources. With the concepts of volunteered geographic information (VGI) and citizen science, heritage data such as digital photographs can be collected through online crowd participation. Whilst photographs are not strictly geographic data, they can be geo-tagged by the participants. They can also be automatically geo-referenced into a global coordinate system if collected via mobile phones which are now ubiquitous. With the assistance of web-mapping, an online geo-crowdsourcing platform has been developed to collect and display heritage structure photographs. Details of platform development are presented in this paper. The prototype is demonstrated with several heritage examples. Potential applications and advancements are discussed.
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Picone, Marco, Michele Amoretti, Marco Martalò, Francesco Zanichelli, and Gianluigi Ferrari. "Combining geo-referencing and network coding for distributed large-scale information management." Concurrency and Computation: Practice and Experience 27, no. 13 (February 4, 2014): 3295–315. http://dx.doi.org/10.1002/cpe.3221.

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41

King, D. N., and J. R. Goff. "Benefitting from differences in knowledge, practice and belief: Māori oral traditions and natural hazards science." Natural Hazards and Earth System Sciences 10, no. 9 (September 16, 2010): 1927–40. http://dx.doi.org/10.5194/nhess-10-1927-2010.

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Abstract. This paper builds upon earlier work that argued the information and experience contained within the knowledge-practice-belief complex of Mātauranga Māori [Māori knowledge] is a valuable and neglected area of information and understanding about past catastrophic events in Aotearoa/New Zealand (A/NZ). Here we map Māori oral traditions (pūrākau) that relate experience with extreme environmental disturbance (in particular, tsunamis) around the A/NZ coast, compare the findings with geo-archaeological evidence, and discuss the scientific benefits to be gained by considering pūrākau as legitimate perspectives on history. Not surprisingly, there are both differences and complementarities between traditional Māori narratives and the available geo-archaeological evidence on extreme coastal disturbances. The findings presented here raise new and important questions about accepted geographies of tsunami risk, the causes and sources of their generation, as well as reasons for the relative paucity and abundance of information in some regions. Ways in which Mātauranga Taiao [Māori environmental knowledge] and contemporary science can be combined to produce new narratives about extreme environmental disturbance along the A/NZ coastline will require not only acceptance of other ways of knowing but also open engagement with Māori that respects their rights to tell their own histories. These efforts are encouraged to revitalise and ground-truth the interpretation of traditional stories, corroborate and/or question previous scientific deductions, and improve our collective understanding of the recurring impact of tectonic, geologic and meteorological-based events across A/NZ.
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IRISH, SETH R., DAVID KYALO, ROBERT W. SNOW, and MAUREEN COETZEE. "Updated list of Anopheles species (Diptera: Culicidae) by country in the Afrotropical Region and associated islands." Zootaxa 4747, no. 3 (March 4, 2020): 401–49. http://dx.doi.org/10.11646/zootaxa.4747.3.1.

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The distributions of the Afrotropical Anopheles mosquitoes were first summarized in 1938. In 2017, an extensive geo-coded inventory was published for 48 sub-Saharan African countries, including information such as sampling methods, collection dates, geographic co-ordinates and the literature consulted to produce the database. Using the information from the 2017 inventory, earlier distribution lists, museum collections and publications since 2016, this paper presents an updated, simplified list of Anopheles species by mainland countries and associated Afrotropical islands, with comments where applicable. It is intended as a supplement to the 2017 geo-coded inventory.
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43

Wang, Y., C. Rizos, L. Ge, M. Tanner, and M. Dwyer. "Distributed artificial intelligence in GIS ‐ Geolet: A distributed geo‐spatial information retriever." Journal of Spatial Science 50, no. 2 (December 2005): 37–50. http://dx.doi.org/10.1080/14498596.2005.9635048.

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44

Dongardive, Prakash. "Use of Electronic Information Resources at Mekelle University, Ethiopia." International Journal of Digital Literacy and Digital Competence 10, no. 3 (July 2019): 49–76. http://dx.doi.org/10.4018/ijdldc.2019070104.

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The present research work describes the use of the electronic resources by the teaching community at Mekelle University, Ethiopia. The survey was conducted by using questionnaires to collect the data. The questionnaires were administered to a total of 1,516 on-duty teaching faculty of seven colleges. This is including the College of Natural and Computational Sciences, the College of Veterinary Medicine, the College of Health Science, the College of Law and Governance, the College of Business and Economics, the College of Language and Social Sciences, the College of Dry Land Agriculture and Natural Resources as well as nine regular institutes including: the Ethiopian Institute of Technology, Mekelle Institute of Technology, the Institute of Paleo Environment and Heritage Conservation, the Institute of Pedagogical Sciences, the Institute of Geo-Information and Earth Observation Sciences, the Institute of Environment and Gender Development Studies, the Institute of Population Studies, the Institute for Climate and Society, and the Institute for Water and Environment at Mekelle University. The survey also examines the purpose of use, frequency, difficulties, and availability of electronic information resources subscribed by Mekelle University Digital Library. Finally, the data has been interpreted, concluded and suggestions have been given for the improvement of electronic information resources at the library web portal.
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45

Huang, Yun-Ju, Kuan-Hung Lu, Yu-En Lin, Suraphan Panyod, Hsin-Yu Wu, Wan-Ting Chang, and Lee-Yan Sheen. "Garlic essential oil mediates acute and chronic mild stress-induced depression in rats via modulation of monoaminergic neurotransmission and brain-derived neurotrophic factor levels." Food & Function 10, no. 12 (2019): 8094–105. http://dx.doi.org/10.1039/c9fo00601j.

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Garlic essential oil (GEO) and its major organosulfur component (diallyl disulfide, DADS) possess diverse biological properties; however, limited information on their antidepressant-like effects is available.
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46

Karna, Bikash Karma, Shobha Shrestha, and Hriday Lal Koirala. "Geo-Information Modeling of Soil Erosion for Sustainable Agriculture Land Management in Sambhunath Municipality." Journal on Geoinformatics, Nepal 20, no. 1 (December 1, 2020): 47–57. http://dx.doi.org/10.3126/njg.v20i1.39478.

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Geo-information science has attempted to estimate the actual soil loss and its correlative interpretation with land use and cover types in an agricultural land, Sambhunath Municipality. Among several empirical and physically based soil erosion models, Revised Universal Soil Loss Equation (RUSLE) are widely used and employed to estimate soil loss based on rainfall, topographic contour, and soil map. The soil erosion ranges values are found from 0 to 2635 t ha-1 yr-1 in terms of soil loss per year in the municipality. Soil erosion rates are found highly correlated with the increasing exposure of land surface in Chure range mostly on forest area. Agriculture lands spatially concentrated in 51.70% of the Municipality extent, is contributing significantly as of 16293 t ha-1 yr-1 of the total potential soil loss from fertile cropland. Based on severity of soil loss, cultivation agriculture areas are priority for reducing soil loss for optimum agriculture management practices in land use planning.
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47

Bousserez, Nicolas, Daven K. Henze, Brigitte Rooney, Andre Perkins, Kevin J. Wecht, Alexander J. Turner, Vijay Natraj, and John R. Worden. "Constraints on methane emissions in North America from future geostationary remote-sensing measurements." Atmospheric Chemistry and Physics 16, no. 10 (May 20, 2016): 6175–90. http://dx.doi.org/10.5194/acp-16-6175-2016.

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Abstract. The success of future geostationary (GEO) satellite observation missions depends on our ability to design instruments that address their key scientific objectives. In this study, an Observation System Simulation Experiment (OSSE) is performed to quantify the constraints on methane (CH4) emissions in North America obtained from shortwave infrared (SWIR), thermal infrared (TIR), and multi-spectral (SWIR+TIR) measurements in geostationary orbit and from future SWIR low-Earth orbit (LEO) measurements. An efficient stochastic algorithm is used to compute the information content of the inverted emissions at high spatial resolution (0.5° × 0.7°) in a variational framework using the GEOS-Chem chemistry-transport model and its adjoint. Our results show that at sub-weekly timescales, SWIR measurements in GEO orbit can constrain about twice as many independent flux patterns than in LEO orbit, with a degree of freedom for signal (DOF) for the inversion of 266 and 115, respectively. Comparisons between TIR GEO and SWIR LEO configurations reveal that poor boundary layer sensitivities for the TIR measurements cannot be compensated for by the high spatiotemporal sampling of a GEO orbit. The benefit of a multi-spectral instrument compared to current SWIR products in a GEO context is shown for sub-weekly timescale constraints, with an increase in the DOF of about 50 % for a 3-day inversion. Our results further suggest that both the SWIR and multi-spectral measurements on GEO orbits could almost fully resolve CH4 fluxes at a spatial resolution of at least 100 km × 100 km over source hotspots (emissions > 4 × 105 kg day−1). The sensitivity of the optimized emission scaling factors to typical errors in boundary and initial conditions can reach 30 and 50 % for the SWIR GEO or SWIR LEO configurations, respectively, while it is smaller than 5 % in the case of a multi-spectral GEO system. Overall, our results demonstrate that multi-spectral measurements from a geostationary satellite platform would address the need for higher spatiotemporal constraints on CH4 emissions while greatly mitigating the impact of inherent uncertainties in source inversion methods on the inferred fluxes.
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48

Wang, Pei, Zhenglong Li, Jun Li, and Timothy J. Schmit. "Added-value of GEO-hyperspectral Infrared Radiances for Local Severe Storm Forecasts Using the Hybrid OSSE Method." Advances in Atmospheric Sciences 38, no. 8 (June 1, 2021): 1315–33. http://dx.doi.org/10.1007/s00376-021-0443-1.

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AbstractHigh spectral resolution (or hyperspectral) infrared (IR) sounders onboard low earth orbiting satellites provide high vertical resolution atmospheric information for numerical weather prediction (NWP) models. In contrast, imagers on geostationary (GEO) satellites provide high temporal and spatial resolution which are important for monitoring the moisture associated with severe weather systems, such as rapidly developing local severe storms (LSS). A hyperspectral IR sounder onboard a geostationary satellite would provide four-dimensional atmospheric temperature, moisture, and wind profiles that have both high vertical resolution and high temporal/spatial resolutions. In this work, the added-value from a GEO-hyperspectral IR sounder is studied and discussed using a hybrid Observing System Simulation Experiment (OSSE) method. A hybrid OSSE is distinctively different from the traditional OSSE in that, (a) only future sensors are simulated from the nature run and (b) the forecasts can be evaluated using real observations. This avoids simulating the complicated observation characteristics of the current systems (but not the new proposed system) and allows the impact to be assessed against real observations. The Cross-track Infrared Sounder (CrIS) full spectral resolution (FSR) is assumed to be onboard a GEO for the impact studies, and the GEO CrIS radiances are simulated from the ECMWF Reanalysis v5 (ERA5) with the hyperspectral IR all-sky radiative transfer model (HIRTM). The simulated GEO CrIS radiances are validated and the hybrid OSSE system is verified before the impact assessment. Two LSS cases from 2018 and 2019 are selected to evaluate the value-added impacts from the GEO CrIS-FSR data. The impact studies show improved atmospheric temperature, moisture, and precipitation forecasts, along with some improvements in the wind forecasts. An added-value, consisting of an overall 5% Root Mean Square Error (RMSE) reduction, was found when a GEO CrIS-FSR is used in replacement of LEO ones indicating the potential for applications of data from a GEO hyperspectral IR sounder to improve local severe storm forecasts.
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Paolanti, Marina, Adriano Mancini, Emanuele Frontoni, Andrea Felicetti, Luca Marinelli, Ernesto Marcheggiani, and Roberto Pierdicca. "Tourism destination management using sentiment analysis and geo-location information: a deep learning approach." Information Technology & Tourism 23, no. 2 (February 16, 2021): 241–64. http://dx.doi.org/10.1007/s40558-021-00196-4.

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AbstractSentiment analysis on social media such as Twitter is a challenging task given the data characteristics such as the length, spelling errors, abbreviations, and special characters. Social media sentiment analysis is also a fundamental issue with many applications. With particular regard of the tourism sector, where the characterization of fluxes is a vital issue, the sources of geotagged information have already proven to be promising for tourism-related geographic research. The paper introduces an approach to estimate the sentiment related to Cilento’s, a well known tourism venue in Southern Italy. A newly collected dataset of tweets related to tourism is at the base of our method. We aim at demonstrating and testing a deep learning social geodata framework to characterize spatial, temporal and demographic tourist flows across the vast of territory this rural touristic region and along its coasts. We have applied four specially trained Deep Neural Networks to identify and assess the sentiment, two word-level and two character-based, respectively. In contrast to many existing datasets, the actual sentiment carried by texts or hashtags is not automatically assessed in our approach. We manually annotated the whole set to get to a higher dataset quality in terms of accuracy, proving the effectiveness of our method. Moreover, the geographical coding labelling each information, allow for fitting the inferred sentiments with their geographical location, obtaining an even more nuanced content analysis of the semantic meaning.
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JABBAR, M. T., Zhi-Hua SHI, Tian-Wei WANG, and Chong-Fa CAT. "Vegetation Change Prediction with Geo-Information Techniques in the Three Gorges Area of China." Pedosphere 16, no. 4 (August 2006): 457–67. http://dx.doi.org/10.1016/s1002-0160(06)60076-3.

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