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Design 3D & Animation GIS

Remote Sensing Introduction

Discover the power of Remote Sensing, using satellite - or aircraft- based sensor technologies
Rating: 3.8 out of 53.8 (15 ratings)
74 students
Created by AulaGEO Academy, Luis Eduardo Perez Graterol, Golgi Alvarez
Last updated 12/2020
English
30-Day Money-Back Guarantee

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.

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

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.

Course content

10 sections • 62 lectures • 6h 33m total length

  • Introduction
    00:38
  • Preview04:15
  • Energy and electromagnetic spectrum
    04:57
  • Main characteristics of sensors optical
    02:30
  • Spectral signature
    02:50
  • Preview04:20
  • Water Spectral Signature
    04:14

  • Spatial resolution
    04:08
  • Preview03:15
  • Temporary Resolution
    01:59
  • Radiometric resolution
    02:56
  • Relationships between resolutions
    01:17

  • Image Download
    05:30
  • Image Download
    03:36
  • Download of data models
    03:10

  • A brief review of QGIS
    07:06
  • Add-ons installation
    04:56
  • Base Maps in QGIS 3
    09:09
  • Introduction to SAGA GIS
    03:58

  • Preprocessing
    01:09
  • Display and enhancement of images
    04:43
  • QGIS image cutting
    03:35
  • Multiple image cutting - PlugIn
    04:03
  • Color rendering
    01:27
  • Lecture 25: Pseudocolor Representation
    05:17
  • Spectral Band Composition
    04:30

  • Corrections to satellite images
    00:46
  • Banding Correction
    06:03
  • Atmospheric correction algorithms
    06:07
  • Topographic correction algorithms
    00:51
  • Topographic Correction in QGIS
    10:55
  • Geometric correction
    00:41
  • Lecture 33: Rectificación de una imagen en QGIS
    08:56

  • What can we extract from satellite images?
    01:18
  • Fusion of images (Pansharpening)
    00:57
  • QGIS image fusion
    10:02
  • Fusion of SAGA images (Brovey, IHS, CPA, spectral)
    18:15
  • Cloud cover mask
    16:30
  • Cloudless images Raster Calculator QGIS
    09:40
  • Cloudless Images - PlugIn
    13:30

  • Lecture 41: Clasificación de imágenes de satelite
    10:52
  • Lecture 42: Clasificaciones no supervisadas-----------------
    08:46
  • Interpret and optimize unsupervised classification
    18:11
  • Supervised Classification Configuration and Training Areas
    08:24
  • Supervised Classification - Spectral Signature Chart
    05:51
  • Supervised Classification - Previous Classification
    03:49
  • Supervised Classification - Optimizing the spectral signatures
    10:41
  • Supervised Classification - Minimum distance, Spectral Angle, Maximum Probable
    07:54
  • Supervised Classification - optimizing threshold algorithms
    08:36
  • Supervised Classification - Result with Mask
    07:37
  • Classification Accuracy
    06:23
  • Determination of classification accuracy
    12:12
  • Identification of ceilings with Segmentation
    16:05

  • Spectral indexes
    04:28
  • Vegetation indices
    10:46
  • NDVI spectral index calculation
    03:21
  • EVI spectral index calculation
    08:19
  • Calculation of 14 vegetation indices in two steps
    04:33

  • Principal component analysis
    10:29
  • Incremental algorithm, delimiting burned area
    09:03
  • Incremental algorithm, delimiting water-reservoir mirror
    06:25
  • Development of spectral profiles
    06:23

Instructors

AulaGEO Academy
Specialists in GIS - BIM - LAND and Smart process training
AulaGEO Academy
  • 3.9 Instructor Rating
  • 996 Reviews
  • 11,822 Students
  • 84 Courses

We choose the best courses and make them available to new audiences. For this we use our main value proposals:

-Conceptualize

-Re-design

-Display

-Sale

Our training offer covers the entire spectrum of data intelligence:

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
  • 4.3 Instructor Rating
  • 604 Reviews
  • 1,515 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
  • 532 Reviews
  • 5,823 Students
  • 28 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 95 courses focused in geospatial, engineering and operation of land and infrastructure projects.

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