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Design3D & AnimationRemote Sensing

Remote Sensing Introduction

Discover the power of Remote Sensing, using satellite - or aircraft- based sensor technologies
Rating: 3.9 out of 53.9 (15 ratings)
86 students
Created by AulaGEO Academy, Luis Eduardo Perez Graterol, Golgi Alvarez
Last updated 12/2020
English

What you'll learn

  • 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

Requirements

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

Description

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.

#AulaGEO This course guides you to learn and implement data analysis in Remote Sensing and improve your geospatial analysis skills.

Content:

  • Lecture 1:Introduction


  • Lecture 2:Definition and components


  • Lecture 3:Energy and electromagnetic spectrum


  • Lecture 4:Main characteristics of sensors optical


  • Lecture 5:Spectral signature


  • Lecture 6:Vegetation spectral signature



  • Lecture 7:Water Spectral Signature


  • Section 2:Characteristics of the sensors


  • Lecture 8:Spatial resolution


  • Lecture 9:Spectral resolution


  • Lecture 10:Temporary Resolution


  • Lecture 11:Radiometric resolution


  • Lecture 12:Relationships between resolutions


  • Section 3:Download satellite images


  • Lecture 13:Image Download


  • Lecture 14:Image Download


  • Lecture 15:Download of data models


  • Section 4:Remembering QGIS


  • Lecture 16:A brief review of QGIS


  • Lecture 17:Add-ons installation


  • Lecture 18:Base Maps in QGIS 3


  • Lecture 19:Introduction to SAGA GIS


  • Section 5:Pre-processing of satellite images (Improvements)


  • Lecture 20:Preprocessing


  • Lecture 21:Display and enhancement of images


  • Lecture 22:QGIS image cutting


  • Lecture 23:Multiple image cutting - PlugIn


  • Lecture 24:Color rendering


  • Lecture 25:Lecture 25: Pseudocolor Representation


  • Lecture 26:Spectral Band Composition


  • Section 6:Satellite Image Pre-Processing (Corrections)


  • Lecture 27:Corrections to satellite images


  • Lecture 28:Banding Correction


  • Lecture 29:Atmospheric correction algorithms


  • Lecture 30:Topographic correction algorithms


  • Lecture 31:Topographic Correction in QGIS


  • Lecture 32:Geometric correction


  • Lecture 33:Lecture 33: Rectificación de una imagen en QGIS


  • Section 7:Satellite Image Processing


  • Lecture 34:What can we extract from satellite images?


  • Lecture 35:Fusion of images (Pansharpening)


  • Lecture 36:QGIS image fusion


  • Lecture 37:Fusion of SAGA images (Brovey, IHS, CPA, spectral)


  • Lecture 38:Cloud cover mask


  • Lecture 39:Cloudless images Raster Calculator QGIS


  • Lecture 40:Cloudless Images - PlugIn


  • Section 8:Clasificación de imágenes de satélite


  • Lecture 41:Lecture 41: Clasificación de imágenes de satelite


  • Lecture 42:Lecture 42: Clasificaciones no supervisadas-----------------


  • Lecture 43:Interpret and optimize unsupervised classification


  • Lecture 44:Supervised Classification Configuration and Training Areas


  • Lecture 45:Supervised Classification - Spectral Signature Chart


  • Lecture 46:Supervised Classification - Previous Classification


  • Lecture 47:Supervised Classification - Optimizing the spectral signatures


  • Lecture 48:Supervised Classification - Minimum distance, Spectral Angle, Maximum Probable


  • Lecture 49:Supervised Classification - optimizing threshold algorithms


  • Lecture 50:Supervised Classification - Result with Mask


  • Lecture 51:Classification Accuracy


  • Lecture 52:Determination of classification accuracy


  • Lecture 53:Identification of ceilings with Segmentation


  • Section 9:Indices espectrales o radiométricos


  • Lecture 54:Spectral indexes


  • Lecture 55:Vegetation indices


  • Lecture 56:NDVI spectral index calculation


  • Lecture 57:EVI spectral index calculation


  • Lecture 58:Calculation of 14 vegetation indices in two steps


  • Section 10:Other tools for image processing and interpretation


  • Lecture 59:Principal component analysis


  • Lecture 60:Incremental algorithm, delimiting burned area


  • Lecture 61:Incremental algorithm, delimiting water-reservoir mirror


  • Lecture 62:Development of spectral profiles



Who this course is for:

  • 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.

Instructors

AulaGEO Academy
Specialists in GIS - BIM - LAND and Smart process training
AulaGEO Academy
  • 3.9 Instructor Rating
  • 1,821 Reviews
  • 19,279 Students
  • 120 Courses

We choose the best courses and make them available to new audiences.

Our training offer covers the entire spectrum of data intelligence:

Art - Capture - Modeling - Design - Construction - Operation. Using technological development and process improvement as a transverse thread.

The creators of courses with which we have decided to work 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.

Luis Eduardo Perez Graterol
Ingeniero en Recursos Naturales
Luis Eduardo Perez Graterol
  • 4.2 Instructor Rating
  • 775 Reviews
  • 2,050 Students
  • 5 Courses

Ingeniero en Recursos Naturales, docente de Teledetección y Sistemas de Información Geográfica (SIG), 

Administrador del mundocartogeo y activo colaborador en el "El blog de franz", en temas SIG y de teledetección Open Source.

Mi vocación es la docencia, disfruto y aprendo enseñando. Por este medio pretendo estructurar un contenido que guié al estudiante en el proceso de construcción de conocimientos, de la forma más clara, amena e intuitiva.   

La Geomatica es una de las facetas de las TI, de mayor crecimiento, en sus avances tecnológicos, integración en la sociedad, inversión, fuentes de trabajo; es parte integral de los Paradigmas Internet de las Cosas y Big Data.

Por un precio conservador tendrás la oportunidad de aprender fundamentos y aplicaciones practicas, así como obtener un certificado que avale los conocimientos adquiridos

Golgi Alvarez
Land Administration and Geo-engineering specialist
Golgi Alvarez
  • 3.8 Instructor Rating
  • 590 Reviews
  • 14,300 Students
  • 31 Courses

Researcher, writer and rich content creator.

More than 25 years working int thee Geo-engineering industry:

   -Infrastructure and civil work projects management

   -CAD / GIS / Surveying & Construction training

   -Land and Cadastre projects

   -Land Administration and development projects

Founder of the Geofumadas website, with more than 1.900 articles about CAD, GIS, Surveying, Cadastre, BIM, Digital Twin and other trend topics.  The website is over 170.000 visitors per month and 21.000 followers in twitter.

Founder of the TwinGeo magazine, attending on site conferences in USA, UK, Netherlands, Singapore, India, Spain, Mexico, Colombia, Chile, Guatemala and other countries.

Founder of the AulaGEO Academy, with more than 100 courses focused in geospatial, engineering and operation of land and infrastructure projects.

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