Remote Sensing Introduction

AulaGEO Academy
3.9
4 reviews
  • faltan solo subtitulos en ingles o español
    ← | →
  • Provides a good fundamental concepts in my line of work.
    ← | →
  • Why is section 17 and 18 in Spanish?
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Training

Online

up to £ 100

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Description

  • Type

    Training

  • Methodology

    Online

  • Class hours

    7h

  • Start date

    Different dates available

"Remote Sensing (RS) contains a set of remote capture techniques and information analysis that allows us to know the territory without being present. The abundance of Earth observation data allows us to address many urgent environmental, geographical and geological issues.Students will have a solid understanding of the physical principles of Remote Sensing, including the concepts of electromagnetic radiation (EM), and will also explore in detail the interaction of EM radiation with the atmosphere, water, vegetation, minerals and other types. of land from a remote sensing perspective. We will review several fields where Remote Sensing can be used, including agriculture, geology, mining, hydrology, forestry, the environment and many more.This course guides you to learn and implement data analysis in Remote Sensing and improve your geospatial analysis skills."

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

"Understand basic concepts of Remote Sensing.Understand the physical principles behind the interaction of EM radiation and the multiple types of soil cover (vegetation, water, minerals, rocks, etc.).Understand how atmospheric components can affect a signal recorded by remote sensing platforms and how to correct them.Download, pre-processing, and satellite image processing.Remote sensor applications.Practical examples of remote sensing applications.Learn Remote Sensing with free software"

"Students, researchers, professionals, and lovers of the GIS and Remote Sensing world.Anyone who wishes to use spatial data to solve ecological and environmental issues.Professionals in forestry, environmental, civil, geography, geology, architecture, urban planning, tourism, agriculture, biology and all those involved in Earth Sciences."

"Basic knowledge of Geographic Information Systems.Have QGIS 3 installed"

"-100% online -Access to the course for life -30 days warranty money back -Available from desktop or mobile app -Can begin and finish the course any time -Can repeat the course any times"

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Reviews

3.9
fantastic
  • faltan solo subtitulos en ingles o español
    ← | →
  • Provides a good fundamental concepts in my line of work.
    ← | →
  • Why is section 17 and 18 in Spanish?
    ← | →
100%
4.3
fantastic

Course rating

Recommended

Centre rating

Cristian Alvarez

5.0
14/09/2020
About the course: faltan solo subtitulos en ingles o español
Would you recommend this course?: Yes

Jessie Floren

4.0
14/09/2020
About the course: Provides a good fundamental concepts in my line of work.
Would you recommend this course?: Yes

Bryan Panchuk

2.5
14/09/2020
About the course: Why is section 17 and 18 in Spanish?
Would you recommend this course?: Yes

Geoffrey Padfield

4.0
12/09/2020
About the course: yes. very good.
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

This centre's achievements

2020

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 3 years

Subjects

  • Satellite
  • spatial
  • Algorithms
  • Geology
  • Image
  • GIS
  • Architecture
  • Geography
  • Electromagnetic Radiation
  • Remote Sensing
  • Earth
  • Geographic Information Systems
  • QGIS
  • Earth Sciences
  • Spatial Design
  • Spatial Data
  • Geospatial
  • Geoscience
  • Geospatial Data

Teachers and trainers (1)

AulaGEO Academy

AulaGEO Academy

Specialized center in Geospatial, Engineering and Operations

We choose the best courses and make them available to new audiences in the spectrum CAD - GIS - BIM - Digital Twins Our training offer covers the entire spectrum of data intelligence: Capture - Modeling - Design - Construction - Operation. The creators of courses with which we have decided to work or promote have been carefully selected, to offer a complementary set of knowledge. We firmly believe that today people do not seek courses to fill their walls with diplomas; but to make their abilities more productive.

Course programme

"Fundamentals of Remote Sensing
Introduction
Definition and components
Energy and electromagnetic spectrum
Main characteristics of sensors optical
Spectral signature
Vegetation spectral signature
Water Spectral Signature
Characteristics of the sensors
Spatial resolution
Spectral resolution
Temporary Resolution
Radiometric resolution
Relationships between resolutions
Download satellite images
Image Download
Image Download
Download of data models
Remembering QGIS
A brief review of QGIS
Add-ons installation
Base Maps in QGIS 3
Introduction to SAGA GIS
Pre-processing of satellite images (Improvements)
Preprocessing
Display and enhancement of images
QGIS image cutting
Multiple image cutting - PlugIn
Color rendering
Lecture 25: Pseudocolor Representation
Spectral Band Composition
Satellite Image Pre-Processing (Corrections)
Corrections to satellite images
Banding Correction
Atmospheric correction algorithms
Topographic correction algorithms
Topographic Correction in QGIS
Geometric correction
Lecture 33: Rectificación de una imagen en QGIS
Satellite Image Processing
What can we extract from satellite images?
Fusion of images (Pansharpening)
QGIS image fusion
Fusion of SAGA images (Brovey, IHS, CPA, spectral)
Cloud cover mask
Cloudless images Raster Calculator QGIS
Cloudless Images - PlugIn
Clasificación de imágenes de satélite
Lecture 41: Clasificación de imágenes de satelite
Lecture 42: Clasificaciones no supervisadas-----------------
Interpret and optimize unsupervised classification
Supervised Classification Configuration and Training Areas
Supervised Classification - Spectral Signature Chart
Supervised Classification - Previous Classification
Supervised Classification - Optimizing the spectral signatures
Supervised Classification - Minimum distance, Spectral Angle, Maximum Probable
Supervised Classification - optimizing threshold algorithms
Supervised Classification - Result with Mask
Classification Accuracy
Determination of classification accuracy
Identification of ceilings with Segmentation
Indices espectrales o radiométricos
Spectral indexes
Vegetation indices
NDVI spectral index calculation
EVI spectral index calculation
Calculation of 14 vegetation indices in two steps
Other tools for image processing and interpretation
Principal component analysis
Incremental algorithm, delimiting burned area
Incremental algorithm, delimiting water-reservoir mirror
Development of spectral profiles"

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