Geospatial Data Analysis:Introductory GIS and Remote Sensing

Name: Geospatial Data Analysis:Introductory GIS and Remote Sensing
Rating: 4.0 (62 reviews)

LiDAR and UAV/Drone data processing included. Spatial data analysis

Created byDionisio gonzalez

Last updated 9/2019

English

English [Auto],

What you'll learn

Develop and analyze data for the geospatial analysis project.
Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis.
Create and work with raster data.
Process LiDAR data and applications
Process Drone Data with a Photogrammetry module
Work with different open source data (Topography, satellite imagery, world imagery)
Work with Web Map Services
Hidrology applications
Apply NDVI and NDWI for agriculture applications

Course content

2 sections • 14 lectures • 3h 20m total length

GIS Basics13:04
Explore the fundamentals of geographic information systems, including raster and vector data, geographic reference, coordinate systems, and map projections such as Mercator/UTM, and how these support spatial analysis.
Data Types9:10
Discover geospatial data types and formats, from spatial and attribute data to vector (points, lines, polygons) and raster data, and learn common GIS formats and conversions.
Software Introduction8:45
Explore Global Mapper, a versatile GIS software that supports over 300 data formats and enables raster and vector processing, terrain and watershed analysis, and 3D visualization for geospatial data.
Vector Data24:43
Master vector data basics in GIS by creating point, line, and area features, assigning attributes, and understanding projections, datums, and exporting formats like shapefile and dwg.
Raster Data18:40
Explore raster data workflows by working with world imagery, adjusting red, green, blue bands, and applying indices like the vegetation index; convert to vector data and export as georeferenced files.
Open Data Sources20:18
Explore open data sources in Global Mapper, including elevation data, world imagery, and land cover, to enable three-dimensional views, contour generation, and terrain analysis.
Web Map Services7:02
Discover web map services and open geospatial web services, learn how map servers deliver images over the internet, and explore loading data layers from GeoServer across regions.

Surveying12:36
Explore surveying applications of geospatial data by creating and analyzing topography, elevation models, and contour lines, converting projections, and exporting or interpolating elevation grids from points.
Heat Maps10:03
Generate a heat map to visualize geographic clustering and density, revealing hotspots and supporting analysis of spatial distribution patterns and data export options.
Telecom15:33
Analyze telecom coverage with visibility studies and elevation data to guide antenna placement. Explore how terrain, contours, and varying radii influence coverage and the need for multiple antennas.
Hydrology16:56
Select a small area, upload the digital elevation data, and create a watershed drainage network to analyze flow, inflow, outflow, and streams.
LiDAR Basics9:33
Explore LiDAR basics within remote sensing to create 3D models and point clouds, classify ground, vegetation, and infrastructure, and generate digital terrain models for forestry and infrastructure analysis.
LiDAR Data19:41
Learn to process LiDAR data from free sources, import and classify point clouds, generate elevation grids and contours, and create 3D views, colorized points, and fly-throughs.
UAV Data (Photogrammetry)14:33
Process drone imagery to create a 3D model of a defined area, balancing flight height, image overlap, and resolution, then export a geo-referenced point cloud and DEM.

Requirements

No previous knowledge is required
To follow along, you should download the latest version of a GIS software (my preferred software is global mapper)

Description

This course is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software. We have created sections to cover GIS basics, and we dedicated a section to LiDAR and UAV/Drone data processing, both techniques are booming nowadays (even the self driving cars companies are using LiDAR technology!).

The main topics we cover are:

GIS Basics

- Data types

- Software Introduction

- Raster Data

- Vector Data

- Free Data Sources

- Web Map Services

Applications

- Surveying

- Hydrology

- Telecom

- LiDAR Data

- UAV Data (Photogrammetry)

- Heat Maps

To get started click the enroll button.

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Who this course is for:

This course is meant for professionals in various sectors including public health, water resources, urban planning, and others that deal with spatial data.
This course is perfect for someone who wants to apply for a GIS Analyst or GIS Specialist job position.
Anybody who works/will work with spatial data

Geospatial Data Analysis:Introductory GIS and Remote Sensing

What you'll learn

Explore related topics

Course content

GIS Basics7 lectures • 1hr 42min

Applications7 lectures • 1hr 39min

Requirements

Description

Who this course is for: