Building an education game with the Google Earth application programming interface to enhance geographic literacy

Author(s):  
Tsan-Kuang Lee ◽  
Laura Guertin
2021 ◽  
Vol 40 (1) ◽  
pp. 35-44
Author(s):  
Whitney Trainor-Guitton ◽  
Leo Turon ◽  
Dominique Dubucq

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 analysis tools (e.g., Pandas and Seaborn) and classification algorithms (e.g., Scikit-learn and TensorFlow). Our results demonstrate end-member cases in which fluorescence and normalized fluorescence indices of seawater and oil are statistically similar and different. As expected, predictive classification is more effective and the calculated probability of oil is more accurate for scenarios in which seawater and oil are well separated in the fluorescence space.


2009 ◽  
Vol 2009 ◽  
pp. 1-21 ◽  
Author(s):  
Prabhakar Subrahmanyam

This publication presents the architecture integration and implementation of various modules inSpartaframework.Spartais a trajectory engine that is hooked to an Online Analytical Processing (OLAP) database for Multi-dimensional analysis capability. OLAP is an Online Analytical Processing database that has a comprehensive list of atmospheric entry probes and their vehicle dimensions, trajectory data, aero-thermal data and material properties like Carbon, Silicon and Carbon-Phenolic based Ablators. An approach is presented for dynamic TPS design. OLAP has the capability to run in one simulation several different trajectory conditions and the output is stored back into the database and can be queried for appropriate trajectory type. An OLAP simulation can be setup by spawning individual threads to run for three types of trajectory:Nominal,Undershoot and Overshoot trajectory. Sparta graphical user interface provides capabilities to choose from a list of flight vehicles or enter trajectory and geometry information of a vehicle in design. DOTNET framework acts as a middleware layer between the trajectory engine and the user interface and also between the web user interface and the OLAP database. Trajectory output can be obtained in TecPlot format, Excel output or in a KML (Keyhole Markup Language) format. Framework employs an API (application programming interface) to convert trajectory data into a formatted KML file that is used by Google Earth for simulating Earth-entry fly-by visualizations.


2017 ◽  
Vol 47 (2) ◽  
pp. 1031
Author(s):  
P. Tsangaratos ◽  
M. Perraki ◽  
I. Ilia

The aim of this study is to develop a Geovisual Mineralogical Cognitive Tool (GeMiCo Tool), a digital application that utilizes techniques from the domain of Information and Communication Technology. The application is part of the educational tools used at the Mineralogical Museum of the School of Mining and Metallurgical Engineering, National Technical University of Athens and concerns students of Higher, Primary and Secondary Education. The learning tool developed here embodies Google Earth API (Application Programming Interface), allowing users to interactively display and investigate geological and mineralogical related data. By that, users are able to select and present thematic layers of information related to the geo-exhibits, to create queries and searches and to navigate in 3D environment. The application runs on a large format multi-touch interactive display in the Mineralogical Museum of NTUA that attracts audiences and engages them in interactive collaborative tasks.


2017 ◽  
Vol 47 (2) ◽  
pp. 1031
Author(s):  
P. Tsangaratos ◽  
M. Perraki ◽  
I. Ilia

The aim of this study is to develop a Geovisual Mineralogical Cognitive Tool (GeMiCo Tool), a digital application that utilizes techniques from the domain of Information and Communication Technology. The application is part of the educational tools used at the Mineralogical Museum of the School of Mining and Metallurgical Engineering, National Technical University of Athens and concerns students of Higher, Primary and Secondary Education. The learning tool developed here embodies Google Earth API (Application Programming Interface), allowing users to interactively display and investigate geological and mineralogical related data. By that, users are able to select and present thematic layers of information related to the geo-exhibits, to create queries and searches and to navigate in 3D environment. The application runs on a large format multi-touch interactive display in the Mineralogical Museum of NTUA that attracts audiences and engages them in interactive collaborative tasks.


2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.


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