Remote Sensing using ArcGIS Pro
What you'll learn
- ArcGIS Pro
- Remote Sensing
- Image Analyisis
- StoryMaps applied to remote sensing
Requirements
- Geospatial basics
Description
This is a coourse of applications of Remote Sensing using ESRI Products. Includes:
#AulaGEO
1) Introduction
i. Course overview
2) Introduction to ArcGIS Online
i. Basics of ArcGIS Online
ii. ArcGIS Online Sign in and map viewer
iii. ArcGIS Online map layout and tools
iv. Preparing a map in ArcGIS Online
v. Introduction to ArcGIS Living Atlas
3) Introduction to ESRI Story Map
i. Basics of ArcGIS Story Map
ii. Overview of an example story map
iii. StoryMap layout (Part-A)
iv. Storymap layout (Part-B)
v. Final example of Story map
4) Land use science
i. Basics of Land use land cover (LULC) analysis
ii. Downloading satellite data from USGS
iii. Importing data and applying preprocessing inside ArcGIS Pro (Part-A)
iv. Importing data and applying preprocessing inside ArcGIS Pro (Part-B)
v. Performing land use classification (Part-A)
vi. Performing land use classification (Part-B)
vii. Visualizing and preparing final maps for LULC in ArcGIS Pro
5) Time series analysis for Urban Sprawl Analysis
i. Background of Time Series, Urban Sprawl and Change Detection
ii. Preparing LULC maps for time series analysis
iii. Estimating area for each LULC class for each year
iv. Change detection in ArcGIS Pro
v. Publishing findings for study area using ESRI Story maps
6) Urban Heat Island (UHI) Effect
i. Basic concepts of UHI
ii. Evaluating LST from Landsat satellite in ArcGIS Pro (Part-A)
iii. Evaluating LST from Landsat satellite in ArcGIS Pro (Part-B)
iv. Evaluating UHI trends from LST
v. Evaluating UHI (Normalized) and UTFVI from LST
Who this course is for:
- GIS users
- Geospatial enthusiasts
- ESRI users
- Geomatic studiants and teachers
- Earth Science researchers
Instructors
- 4.0 Instructor Rating
- 2,483 Reviews
- 23,601 Students
- 132 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.
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
- 4.0 Instructor Rating
- 815 Reviews
- 23,111 Students
- 40 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.
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
- 4.7 Instructor Rating
- 71 Reviews
- 2,559 Students
- 3 Courses
Waleed is a Ph.D. student in Geography at HKBU, Hong Kong. He has been working in the Remote Sensing domain for the last four years focusing on Google Earth Engine, Geospatial Data Science, and Machine/Deep Learning. His research interests include but are not limited to 1) Hazard Risk-Resilience studies, 2) Monitoring rapid urbanization/urban sprawl patterns, 3) Forecasting future land use and land surface temperature patterns, 4) Applications of Google Earth Engine in ecology, Paleoclimatology, and Microclimate (UHI).
His research activities primarily revolve around the use of GEE, RS workflow automation through GEE, Python, ArcGIS Pro, QGIS, TerrSet, PowerBi, and Python-based Geospatial Modules.
He’s focusing on regional/national/global scale studies involving GEE and is also available for working and collaboration opportunities in the aforementioned domains.