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Introduction to remote sensing: Principle, data and applications
From 40.39 C$ /h
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
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
Extra information
It is recommended to install image processing software such as ENVI.
Location
At student's location :
- Around Rabat, Morocco
Online from Morocco
About Me
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.
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
Specialized Master in GIS and Remote Sensing at UM5
Degree in Geology at UMI
DTS in topography from ISTA
BAC in physical and chemical sciences
BAC in technological and mechanical sciences
Degree in Geology at UMI
DTS in topography from ISTA
BAC in physical and chemical sciences
BAC in technological and mechanical sciences
Experience / Qualifications
* Spatial analysis
* Satellite and drone image processing with image processing software or with Python
* Digital mapping
* Satellite and drone image processing with image processing software or with Python
* Digital mapping
Age
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
Skills
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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
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 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
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
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