Remote Sensing Introduction
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
- 4.2 Instructor Rating
- 3,188 Reviews
- 50,151 Students
- 133 Courses
Welcome to our Academy platform, your ultimate destination for online courses covering a wide range of subjects, including GIS, CAD, BIM and Digital Twins applied to the land development environment. We are committed to providing comprehensive education and empowering individuals to excel in various domains related to infrastructures. Whether you are a student, a professional seeking to expand your knowledge, or an enthusiast passionate about these subjects, our platform offers a diverse selection of courses tailored to meet your specific needs.
At our Academy, we recognize the significance of these disciplines in the infrastructures life cycle, from initial design to project completion. To ensure the highest quality of education, we have collaborated with renowned industry expert Golgi Alvarez and assembled a team of AulaGEO Academy experts to create, adapt to English and/or Spanish languages and curate cutting-edge courses.
Architecture – Engineering – Construction – Operation (AECO) is a harmonious blend of creativity and technical expertise. Our AECO courses encompass a broad range of topics, from Civil design principles to sustainable construction practices. You will gain proficiency in conceptualizing and developing designs that fulfill aesthetic, functional, structural and regulatory requirements. Our instructors, including renowned expert Golgi Alvarez, will guide you through the design process, helping you refine your visualization and communication skills. Furthermore, you will acquire a solid foundation in structural analysis and design, ensuring the safety and stability of your land development creations.
Geographic Information Systems (GIS) have revolutionized the way we collect, analyze, and visualize spatial data. Our GIS courses explore the power of GIS technology for mapping, spatial analysis, and data management. Using software like ArcGIS Pro and QGIS you will gain insights into interpreting and manipulating geospatial data, designing interactive maps, conducting spatial queries, and leveraging GIS for various applications, including land management, environmental analysis, and urban planning. Our GIS courses provide a competitive advantage in fields that rely on spatial data analysis and informed decision-making.
Civil Engineering plays a pivotal role in the design and construction of infrastructure. Our engineering courses cover a broad spectrum of topics, including structural engineering, transportation systems, and urban design. Using software like AutoDesk Civil3D and Bentley OpenRoads you will learn the principles and techniques required to design, construct, and maintain buildings, bridges, roads, and more. Our experienced instructors bring their industry expertise to the virtual classroom, providing valuable insights
Computer-Aided Design (CAD) is the backbone of modern design processes, enabling precise and efficient creation of 2D and 3D models. Our CAD courses cover a wide array of software applications, including AutoCAD, Microstation, and CREO Parametric. From fundamental concepts to advanced techniques, you will acquire the skills necessary to create, modify, and analyze complex designs, ensuring accuracy and optimizing workflows. Our courses cater to beginners seeking a solid foundation as well as experienced professionals aiming to enhance their expertise.
Building Information Modeling (BIM) has transformed the architecture, engineering, and construction industries by facilitating collaborative and data-driven project management. Our BIM courses delve into the principles, workflows, and software tools utilized in BIM, such as Revit and SYNCHRO. You will learn to create intelligent 3D models that encompass architectural, structural, and MEP (mechanical, electrical, and plumbing) systems. Additionally, you will discover techniques for accurate quantity extraction, clash detection, and generating construction documents. Mastery of BIM equips you to contribute effectively to multidisciplinary project teams and streamline project delivery.
ARTS & DEVELOPMENT
Additionally, as part of our social responsibility, some of our courses have been made available to development projects in certain countries. This has allowed us to benefit communities and replicate our methodology, leading to the creation of new courses in response to demand in areas such as graphic design, art, and social disciplines.
Copyright:
For copyright management and DMCA purposes, all the content of AulaGEO Academy is managed by Golgi Alvarez.
- 4.1 Instructor Rating
- 914 Reviews
- 2,489 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
- 4.2 Instructor Rating
- 1,180 Reviews
- 49,708 Students
- 40 Courses
Researcher, writer and rich content creator.
More than 25 years working int the Geospatial and AEC industries:
-Infrastructure and civil work projects management
-CAD / GIS / Surveying & Construction training
-Land and Cadastre projects
-Land Administration and development projects
Golgi Alvarez is the 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.
Golgi Alvarez is the founder of the TwinGeo magazine, attending on site conferences in USA, UK, Netherlands, Singapore, India, Spain, Mexico, Colombia, Chile, Guatemala and other countries.
Golgi Alvarez is the founder of the AulaGEO Academy, with more than 150 courses focused in geospatial, engineering and operation of land and infrastructure projects.
Copyright:
All the content of the AulaGEO Academy it´s owned and managed by Golgi Alvarez. If you have any question, you can cotact to info@zatoca.com