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Design of digital surveys with the ODK Collect application
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This course provides an introduction to designing digital surveys using the Open Data Kit (ODK) Collect application. ODK Collect is an open source tool for collecting field data on mobile devices such as smartphones or tablets. It is widely used in the field of international development for large-scale data collection in contexts such as health, education, agriculture, water management and many others.Topics covered include:
- Introduction to key survey design concepts (questionnaires, sampling, etc.)
- Presentation of the ODK Collect application and its functionalities (creation of forms, data management, etc.)
- Learning best practices for the design of effective and quality digital surveys (formulation of questions, response strategies, etc.)
- Analysis of collected data and export of data
Extra information
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Be sure to install the ODK collect mobile app from Play Store.Location
At student's location: Around Rabat, Morocco
Online via webcam
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General info
Skills:
| Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
|---|---|
| Student level: | Beginner Intermediate Advanced |
| Duration: | 60 minutes |
| The class is taught in: | French, Arabic, English |
About Me
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Hello, I am Abdelaziz. I am a professional in GIS and remote sensing, with a master's degree specializing in this field. I also obtained a diploma of technician specialized surveyor topographer. Currently, I am enrolled in a doctoral cycle in geomatics science and engineering at IAV Hassan II.I acquired a solid experience in the use of GIS and remote sensing for the management and analysis of geospatial data. I have worked on mapping, agriculture and natural resource management projects, using popular GIS software such as ArcGIS and QGIS, as well as remote sensing software such as ENVI and Google Earth Engine.
I am passionate about applying geospatial technologies to solve real-world problems in various fields. I am also interested in researching and developing new methods for geospatial data analysis.
Please do not hesitate to contact me if you have any questions or would like to discuss a potential project in the field of GIS and remote sensing.
Education
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Specialized Master in GIS and Remote Sensing at UM5Degree in Geology at UMI
DTS in topography from ISTA
BAC in physical and chemical sciences
BAC in technological and mechanical sciences
Experience / Qualifications
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* Spatial analysis* Satellite and drone image processing with image processing software or with Python
* Digital mapping
This course is designed for students, professionals and researchers who want to acquire skills in satellite image processing using two of the most popular image processing software: ENVI and Erdas. Participants will learn the basics of image processing, including radiometric correction, atmospheric correction, image mosaic, and image classification.
Topics covered in the course include:
- Introduction to satellite images and remote sensing data
- Introduction to ENVI and Erdas image processing software
- Radiometric correction of images
- Atmospheric image correction
- Image mosaic
- Image classification
The course will include live demonstrations of the use of ENVI and Erdas software, as well as hands-on exercises to help participants apply the concepts they have learned. Participants will also have the opportunity to ask questions and interact with the instructor and other participants.
Learning objectives:
- Understand the basic principles of satellite image processing
- Use ENVI and Erdas software to correct radiometric and atmospheric images
- Perform image mosaic to create large size image
- Use image classification to extract information from satellite images
This online course provides a comprehensive introduction to Geographic Information Systems (GIS), which are computer tools for storing, manipulating, analyzing, and visualizing geospatial data. GIS are used in many fields, such as cartography, urban planning, environment, natural resource management, land use planning and many others.
Topics covered include:
Introduction to key GIS concepts (maps, layers, georeferencing, etc.)
Presentation of the different technologies and the most commonly used software in the field (ArcGIS, QGIS, etc.)
Learning methods for collecting and processing geospatial data (GPS, remote sensing, digitization, etc.)
Spatial analysis and thematic mapping
Practical applications in various fields such as environmental management, land use planning, urban planning, etc.
This course is intended for students, professionals and researchers who wish to learn how to process images taken by drones using image processing software. Participants will learn the basics of drone image processing, including the creation of the orthomosaic image, digital terrain models and
contour line.
Topics covered in the course include:
- Introduction to drone images and remotely sensed data
- Introduction to Agisoft image processing software
- Preprocessing of drone images
- Thumbnail alignment
- Creation of the orthomosaic image
- Creation of digital terrain models
- Creation of level curve
The course will include live demonstrations of the use of Agisoft software, as well as hands-on exercises to help participants apply the concepts they have learned. Participants will also have the opportunity to ask questions and interact with the instructor and other participants.
Learning objectives:
- Understand the basic principles of drone image processing
- Use Agisoft software to create 3D models from drone images
- Create orthomosaic images
- Create digital terrain models from drone images
- Create contour lines
This course provides an introduction to remote sensing, which is the acquisition of information about Earth objects or phenomena from sensors located on platforms such as satellites, aircraft or drones. Remote sensing is used in many fields, such as geology, forestry, agriculture, climatology, cartography, urban planning and many others.
Topics covered include:
- Introduction to the key concepts of remote sensing (electromagnetic spectrum, spatial and temporal resolution, etc.)
- Presentation of the different technologies and sensors most commonly used in the field (optical imaging, radar, lidar, etc.)
- Learning methods for processing and interpreting remotely sensed data (classification, vegetation indices, etc.)
- Spatial analysis and thematic mapping from remote sensing data
Ask a question
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from 80.89 QAROnline via webcam
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Online reputation
- Instructor since February 2023
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from 80.89 QAROnline via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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