Loading Events

« All Events

  • This event has passed.

ONLINE COURSE – Remote Sensing With Satellite Multi-Spectral Sensors (RSMS01) This course will be delivered live

20th September 2021

ONLINE COURSE – Remote Sensing With Satellite Multi-Spectral Sensors (RSMS01) This course will be delivered live

Event Date

Monday, September 20th, 2021

Course Format

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

Time Zone

TIME ZONE – GMT+1 – however all sessions will be recorded and made available allowing attendees from different time zones to follow.

Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you.

Course Details

Satellite Remote Sensing has become a common tool to investigate the different fields of Earth and environmental sciences. The progress of the performance capabilities of the optoelectronic and radar devices mounted on-board remote sensing platforms have further improved the capability of instruments to acquire information about the Earth and its resources for global, regional and local assessments. Disciplines such as agriculture, hydrology, and ecosystem studies have all developed a strong Remote Sensing component, facilitating our understanding of the environment and its processes over a broad range of spatial and temporal scales.

This 4-day course aims to provide participants with an integrated end-to-end perspective going from measurement techniques to end-user applications, covering issues related to Remote Sensing, Earth System Modelling and Data Assimilation as well as hands-on computing exercises on the processing of Earth Observation data.

Intended Audiences

Any researchers (PhD and MSc students, post-docs, primary investigators) and environmental professionals who are specialised in a variety of Earth Science disciplines and wish to expand and improve their knowledge and skills.


Delivered remotely

Course Information

Availability – 30 places

Duration – 4 days

Contact hours – Approx. 24 hours

ECT’s – Equal to 2 ECT’s

Language – English

Teaching Format

The course will be divided into theoretical lectures to introduce and explain key concepts and theories, and practices with computing exercises on the processing of Earth Observation data. Afternoon practicals will be based on the topics covered in the morning lectures.

Assumed quantitative knowledge

Familiarity with Geographic Information Systems and geospatial data (i.e., raster and vector data) could be useful, but not mandatory. A basic understanding of physics radiation and proprieties of electromagnetic spectrum could be also useful, but not required.

Assumed computer background

No prior experience with Remote Sensing software and data or any programming language is required. Familiarity with any digital image processing technique will be helpful, but is not required.

Equipment and software requirements

Attendees of the course must use a computer with any Operating System installed (GNU/Linux, MS Windows or MacOS). The course will use only Open-Source software (FOSS) which will be downloaded, installed and configured during the lectures.


The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
Tickets are no longer available


Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.

If you are unsure about course suitability, please get in touch by email to find out more oliverhooker@prstatistics.com


Monday 26th September – Classes from 10:00 to 17:00

Module 1: Fundamentals of Remote Sensing. Concepts of satellite orbits, spacial resolutions, temporal resolutions, spectral and radiometric resolutions. Different types of sensors and processing levels of Earth Observation satellites. The physics of atmosphere and spectral signatures. Conceptual understanding of Remote Sensing, where the participants will be able to identify its advantages and disadvantages. Introduction to data platforms, software tools, web portals, and environmental monitoring applications. Practice: Introduction to Remote Sensing software.

Tuesday 27th September – Classes from 10:00 to 17:00

Module 2: Earth Observation Programmes. The National Aeronautics and Space Administration (NASA) LANDSAT Program and the European Space Agency (ESA) Copernicus/SENTINEL Program. History and Objectives. Satellite missions chronology. Different spatial, temporal, spectral and radiometric resolutions. LANDSAT Multispectral Scanner (MSS) and SENTINEL-2 Multispectral Instrument (MSI) sensor designs. Uses of Earth Observation satellite imagery for natural resources management, climate change, environmental disasters and ecology. Practice: Introduction to satellite image processing. 

Thursday 29th September – Classes from 10:00 to 17:00

Module 3: Remote Sensing for Vegetation Monitoring and Agricultural Applications. Satellite observations to assess a wide variety of geophysical and biophysical parameters, including precipitation, temperature, evapotranspiration, soil moisture, and vegetation health. Band combination e index classification for vegetation monitoring. Remote Sensing data for agriculture monitoring, specifically drought and crop monitoring. Practice: Supervised and unsupervised classification methods.

Friday 30th September – Classes from 10:00 to 17:00

Module 4: Satellite Applications for Biodiversity Conservation. Specific applications and hands-on demonstrations of how to use Remote Sensing data to derive conservation policies and management decisions. Remote Sensing for Conservation and Biodiversity: Animal Movement, Dynamic Habitat Index for Biodiversity, Vegetation Carbon Stock Corridors and techniques for Land Change Detection. Land Management and Ecosystem Based Tools: Coral Reef Watch and MODIS NDVI Anomalies and Time Series. Practice: Image fusion and Pansharpening techniques.

Course Instructor

Dr. Nelson Pires

– Works at: University of Porto, Portugal


Remote Sensing with satellite multi-spectral sensors (RSMS01)

Remote Sensing with drone RGB and Near Infrared cameras (RSWD01)

Remote Sensing with aircraft and drone LiDAR sensors (RSLD)

Nelson holds a degree in Physics and Surveying Engineering, a MSc and PhD degrees in Surveying Engineering from University of Porto. With more than 10 years of experience in teaching at higher education institutions and doing research work in several geospatial subjects. Past and recent research includes subjects in atmospheric corrections with high-precision Global Navigation Satellite Systems analysis, aerial and close-range photogrammetric studies with drones for coastal monitoring and map production, multi-spectral and SAR-imaging Remote Sensing for ocean wind-generated waves and ocean dynamics.

ORCID: https://orcid.org/0000-0002-6629-8060



20th September 2021
Event Categories:
, ,


The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
Tickets are no longer available