Relevant bibliographies by topics / Google Earth API

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Google Earth API'

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

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Journal articles on the topic "Google Earth API"

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M.Mohmmod, Basheera, Sadiq H. Abdulhussain, and Akeel A. Mohammed. "Location Management System based RFID and Google Earth API." International Journal of Computer Applications 86, no. 19 (2014): 24–32. http://dx.doi.org/10.5120/15105-3519.

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Roth, Robert E., and Kevin S. Ross. "Extending the Google Maps API for Event Animation Mashups." Cartographic Perspectives, no. 64 (September 1, 2009): 21–40. http://dx.doi.org/10.14714/cp64.146.

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MA, Liguang, and Yanrong CAO. "Application of Google Earth COM API and KML in Tourism Information System Development." Geo-information Science 12, no. 6 (2011): 828–34. http://dx.doi.org/10.3724/sp.j.1047.2010.00828.

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Trainor-Guitton, Whitney, Leo Turon, and Dominique Dubucq. "Python Earth Engine API as a new open-source ecosphere for characterizing offshore hydrocarbon seeps and spills." Leading Edge 40, no. 1 (2021): 35–44. http://dx.doi.org/10.1190/tle40010035.1.

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The Python Earth Engine application programming interface (API) provides a new open-source ecosphere for testing hydrocarbon detection algorithms on large volumes of images curated with the Google Earth Engine. We specifically demonstrate the Python Earth Engine API by calculating three hydrocarbon indices: fluorescence, rotation absorption, and normalized fluorescence. The Python Earth Engine API provides an ideal environment for testing these indices with varied oil seeps and spills by (1) removing barriers of proprietary software formats and (2) providing an extensive library of data analys
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Kilibarda, Milan, and Branislav Bajat. "PlotGoogleMaps: The R-Based Web-Mapping Tool for Thematic Spatial Data." GEOMATICA 66, no. 1 (2012): 37–49. http://dx.doi.org/10.5623/cig2012-007.

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Google Maps are increasingly used for communication throughout many map-based services and maps, embedded on third-party websites via the Google Maps API. The main objective of this paper is to present a solution for an easy creation of an interactive web map, with a base map supplied by Google, where all map elements and additional functionalities are handled by just one line of code. The present solution for the automatic creation of a complete web map, based on the Google Maps API, is the R package plotGoogleMaps. This tool provides a new interactive plot device for handling the geographic
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Canty, Morton J., Allan A. Nielsen, Knut Conradsen, and Henning Skriver. "Statistical Analysis of Changes in Sentinel-1 Time Series on the Google Earth Engine." Remote Sensing 12, no. 1 (2019): 46. http://dx.doi.org/10.3390/rs12010046.

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Time series analysis of Sentinel-1 SAR imagery made available by the Google Earth Engine (GEE) is described. Advantage is taken of a recent modification of a sequential complex Wishart-based algorithm which is applicable to the dual polarization intensity data archived on the GEE. Both the algorithm and a software interface to the GEE Python API for convenient data exploration and analysis are presented; the latter can be run from a platform independent Docker container and the source code is available on GitHub. Application examples are given involving the monitoring of anthropogenic activity
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Hammoud, Muhsen, Charles Morphy D. Santos, and João Paulo Gois. "iTUPA: an online automated application to perform Topographic-Unit Parsimony Analysis." Bioinformatics 35, no. 22 (2019): 4818–20. http://dx.doi.org/10.1093/bioinformatics/btz487.

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Abstract Summary iTUPA is a free online application for automatizing the Topographic-Unit Parsimony Analysis (TUPA), which identifies areas of endemism based on topography. iTUPA generates species-occurrences matrices based on user-defined topographic units (TUs) and provides a parsimony analysis of the generated matrix. We tested iTUPA after a proposal of regionalization for the Brazilian Atlantic Forest. iTUPA can handle millions of species registers simultaneously and uses Google Earth high-definition maps to visually explore the endemism data. We believe iTUPA is a useful tool for further
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Licantik, Licantik, and Nova Noor Kamala Sari. "PENGEMBANGAN MEDIA INFORMASI RUANG KULIAH PADA FAKULTAS TEKNIK UNIVERSITAS PALANGKA RAYA BERBASIS ANDROID DAN LOCATION BASED SERVICE." Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika 13, no. 2 (2019): 30–36. http://dx.doi.org/10.47111/jti.v13i2.252.

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 Android is a widely used of technology. Location Based Service (LBS) is an android feature to find the location of user’s device by utilizing satellite facilities. Problems faced by the students in Informatics of Faculty of Engineering are the limited number of lecturing rooms and the lack information of the use of those rooms. LBS feature on android will answer those existing problems.
 The methodology for development is Prototype by Pressman which has saveral stages namely (1) communication and initial data collection, (2) quick design, (3) formation of proto
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Gujrati, A., and V. B. Jha. "SURFACE WATER DYNAMICS OF INLAND WATER BODIES OF INDIA USING GOOGLE EARTH ENGINE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 27, 2018): 467–72. http://dx.doi.org/10.5194/isprs-annals-iv-5-467-2018.

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<p><strong>Abstract.</strong> Dynamics, distribution and quality of water has a direct impact on environment and its dependent human activities. Regular monitoring of these hydrological processes help in understanding water cycle and better management policy making. Recent increase in remote sensing satellites offer multiple observations with high spatial and temporal resolution, thus calling for extensive use of high end computational resources. Google Earth Engine(GEE) is an open Application Programing Interface (API), which offers free computational resources and satellite
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Greifeneder, Felix, Claudia Notarnicola, and Wolfgang Wagner. "A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine." Remote Sensing 13, no. 11 (2021): 2099. http://dx.doi.org/10.3390/rs13112099.

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Due to its relation to the Earth’s climate and weather and phenomena like drought, flooding, or landslides, knowledge of the soil moisture content is valuable to many scientific and professional users. Remote-sensing offers the unique possibility for continuous measurements of this variable. Especially for agriculture, there is a strong demand for high spatial resolution mapping. However, operationally available soil moisture products exist with medium to coarse spatial resolution only (≥1 km). This study introduces a machine learning (ML)—based approach for the high spatial resolution (50 m)
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Dissertations / Theses on the topic "Google Earth API"

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Maksinen, Martin. "Inbäddade kartor för geografiska presentationer på webbsidor." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-14017.

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This is a survey of different techniques that may be used for embedding geographicdata into web pages. Different models of GIS communication are examined and a testsubject in the form of an application is implemented and evaluated.The test application (‘StudentKarta’ eng. ‘Student Map’) lets students submit theirresidential data and shows their position as pins on an embedded Map.An expire date is used to let the pins fade away and disappear.The application uses the popular Google map engines to display the geographicalpresentations. Both 2D (Google Maps) and 3D (Google Earth) are used and the
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Book chapters on the topic "Google Earth API"

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Pires, Eduardo Vinícius Rocha, Patricia Helena Mirandola Garcia, and Renan de Almeida Silva. "Aplicabilidade do Google Earth Pro para a Análise de Áreas de Influências (AID e AII) de pequenas centrais hidroeléticas." In Meio ambiente e seus desafios: Estudos Contemporâneos – Volume 1. Editora Poisson, 2020. http://dx.doi.org/10.36229/978-65-86127-93-5.cap.10.

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Conference papers on the topic "Google Earth API"

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Huang, Haifeng, and Wei Liu. "Development of three dimensional digital tourism presentation system based on Google Earth API." In 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM). IEEE, 2011. http://dx.doi.org/10.1109/icsdm.2011.5969051.

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Rui Zhu, Yong Liu, Hong Jiang, and Zhenliang Yin. "Visualization of weather-induced disaster warning information system using Google Earth API based on Mashup." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002715.

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Dominguez, Damaso, and R. Panneer Selvam. "Tornado Width for Computer Modeling from Google Earth Data and the Period of the Vortex." In AEI 2017. American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480502.039.

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Journal articles
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