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ArcGIS Pro Advanced: Satellite to Mobile GIS
Rating: 3.4 out of 5(14 ratings)
188 students

ArcGIS Pro Advanced: Satellite to Mobile GIS

Master advanced ArcGIS Pro techniques including imagery analysis, geodatabases, StoryMaps, and mobile apps
Last updated 7/2026
English

What you'll learn

  • Process and analyze satellite imagery using ArcGIS Pro for enhanced environmental and spatial studies.
  • Create, manage, and query Geodatabases to organize and retrieve spatial data efficiently.
  • Perform advanced analysis on LiDAR point clouds to extract detailed terrain and feature information.
  • Publish and share maps, layers, and geospatial content seamlessly through ArcGIS Online.
  • Develop interactive StoryMaps that integrate geographic data with multimedia elements for compelling presentations.
  • Design professional-quality map layouts from existing .mxd templates and from scratch within ArcGIS Pro.
  • Build mobile GIS applications with AppStudio for ArcGIS to enable efficient field data collection and management.
  • Apply advanced image segmentation and classification techniques to categorize and interpret satellite imagery effectively.

Course content

4 sections11 lectures3h 16m total length
  • Working with Satellite Images18:56

    This lecture introduces advanced techniques for working with satellite images using ArcGIS Pro, focusing on the workflow from data acquisition to initial image processing.

    You will start by downloading satellite scenes from the USGS Earth Explorer platform, learning how to select the appropriate Landsat 8 dataset and verify image coverage for your area of interest.

    Next, the lecture covers organizing downloaded data, importing satellite scenes into your ArcGIS Pro project, and preparing them for analysis through band composition and visualization adjustments.

    Key topics covered include:

    • Downloading Landsat 8 satellite images via USGS Earth Explorer

    • Organizing and importing satellite imagery into ArcGIS Pro

    • Using composite band functions to combine spectral bands

    • Adjusting band combinations and symbology for true color visualization

    • Understanding metadata and band properties within multispectral images

    • Performing initial image corrections for reflectance calibration

    • Creating multiband raster layers and managing image datasets

    Practical value for GIS professionals:

    • Efficiently source and manage satellite imagery for spatial projects

    • Enhance image interpretation through band composites and symbology customization

    • Prepare satellite imagery for further spatial analysis and index calculations

    • Gain familiarity with multispectral data characteristics and metadata

    By the end of this lecture, learners will be able to download, organize, and visually prepare satellite images in ArcGIS Pro, laying a solid foundation for advanced remote sensing and spatial analysis tasks within the course.

  • Creation and Management of Geodatabases31:42

    This lecture focuses on the creation and management of geodatabases within ArcGIS Pro, providing a step-by-step workflow to handle spatial data efficiently. You begin by learning how to create a new project and set up a file geodatabase, which serves as a container for spatial datasets.

    The session covers different methods for creating geodatabases, including using the catalog panel and the Analysis tab tools. You also learn how to import data such as feature classes into the geodatabase, create new feature classes, and manage raster data through mosaic and raster datasets.

    Additionally, the lecture demonstrates practical tasks such as compressing and decompressing geodatabases and exporting data in multiple formats like Feature Class and CAD. A significant part of the lesson is devoted to the creation and application of domains for data validation and attribute consistency.

    Key topics covered:

    • Creating and naming file geodatabases in ArcGIS Pro.

    • Importing and organizing vector and raster data.

    • Creating feature classes and mosaic datasets for imagery management.

    • Compressing, decompressing, and exporting geodatabase content.

    • Building and applying attribute domains to ensure data accuracy.

    • Addressing common attribute table errors and geometry type conflicts.

    • Validating attribute data through domains to prevent typing mistakes.

    Practical value in GIS data management:

    • Efficient organization of spatial datasets to improve project workflows.

    • Maintaining data integrity and consistency using attribute domains.

    • Preparing geodatabases for sharing and collaboration by optimizing storage.

    • Ensuring accurate attribute data entry to reduce errors in spatial analysis.

    By the end of this lecture, learners will be able to create and manage geodatabases effectively in ArcGIS Pro, import and export data correctly, and apply domains to maintain high data quality and consistency across GIS projects.

  • Working with Point Clouds - LiDAR30:00

    In this advanced lecture on working with point clouds, we focus specifically on managing LiDAR data within ArcGIS Pro, a critical skill for spatial data professionals who need to handle large, detailed 3D datasets. The session begins with practical guidance on acquiring LiDAR datasets from reputable sources such as CNIG Spain and the USGS National Map. Students learn the step-by-step process to access, identify, and download appropriate LAZ or LAS files, which are the standard formats for LiDAR data compression and storage.

    The lecture progresses into data management techniques, emphasizing the importance of decompressing LAZ files using the third-party LASzip tool. This detail is crucial because ArcGIS Pro can only load uncompressed LAS files, a technical nuance that ensures the data is usable and visible within the software environment. We cover how to correctly organize these files within your project folder for seamless integration with ArcGIS Pro.

    The workflow then introduces the creation of LAS datasets from the decompressed LiDAR data. This is a key step for turning raw point cloud data into a structured format that ArcGIS Pro can analyze efficiently. The process includes setting coordinate systems, creating projection files (PRJ), and calculating statistics to optimize dataset performance. The instructor also explains how to load and visualize these datasets in a 3D local scene, providing learners with the ability to view point clouds interactively.

    Visualization techniques are covered in depth, showcasing how to manipulate symbology to classify points by elevation, classification, scan angle, or other attributes. The lecture highlights the practical adjustment of point size and color palettes to enhance interpretability of complex datasets. Additionally, we explore contour creation from point clouds, enabling the derivation of traditional 2D elevation contours from 3D data, which is essential for many GIS applications such as terrain analysis and mapping.

    Another important topic covered is examining the generated mesh edges and surface measurements like elevation, slope, and hillside orientation (aspect). These derivatives transform raw LiDAR points into meaningful terrain features, significantly expanding the analytical capabilities of users. Learners are shown how to apply color schemes to surface layers to interpret elevations and slopes visually, facilitating terrain classification and decision-making.

    Throughout the lesson, practical examples from urban and natural environments, including a detailed case study of the city of Barcelona, Spain, are integrated. This contextualization supports understanding how LiDAR data can reveal landscape patterns, identify vegetation types, buildings, and urban structures, and how these can be manipulated and analyzed within ArcGIS Pro.

    The instruction culminates with processes for generating raster layers from LiDAR datasets, such as elevation rasters, slope, and aspect rasters. These products are essential for integrating LiDAR data with other GIS layers and extending analysis beyond the point cloud itself. The workflow illustrates raster extraction, interpolation methods, and how to adjust visualization parameters to best represent the terrain's features.

    Key topics covered:

    • Downloading and selecting LiDAR datasets (LAZ/LAS) from CNIG Spain and USGS sources.

    • Decompressing LAZ files using LASzip and loading LAS files into ArcGIS Pro.

    • Creating and managing LAS datasets with projection and statistics for efficient analysis.

    • Visualizing point clouds in 3D scenes with classification symbology and custom point size/color settings.

    • Generating contours and examining mesh edges derived from point clouds.

    • Creating surface products including elevation, slope, and hillshade (aspect) rasters.

    • Applying color palettes and symbology adjustments to enhance terrain interpretation.

    • Case studies highlighting urban and natural terrain analysis using LiDAR data.

    Practical value in GIS spatial analysis:

    • Acquire and prepare high-resolution LiDAR datasets for detailed 3D spatial analysis.

    • Transform raw LiDAR points into structured datasets optimized for ArcGIS Pro workflows.

    • Visualize and classify point clouds effectively to differentiate terrain, vegetation, and built structures.

    • Extract meaningful terrain derivatives such as contours, slope, and aspect for environmental and urban planning.

    • Integrate LiDAR data with raster formats to enhance multi-layer GIS projects.

    • Use symbology and visualization tools to communicate complex 3D data effectively.

    • Apply techniques in real-world scenarios like city mapping and terrain modeling.

    Upon completing this lecture, learners will understand how to efficiently manage and process LiDAR point cloud data, converting it into valuable spatial products within ArcGIS Pro. They will be equipped to download, prepare, visualize, and analyze LiDAR datasets, unlocking the full potential of 3D spatial analysis for diverse GIS applications.

Requirements

  • Basic knowledge and experience using ArcGIS Pro software.
  • Access to ArcGIS Pro with necessary licenses to follow practical exercises.
  • Willingness to engage with hands-on data processing and spatial analysis tasks.

Description

Elevate your GIS expertise with this in-depth course on ArcGIS Pro advanced workflows designed for GIS professionals and enthusiasts eager to tackle complex spatial challenges. This course guides you through sophisticated functionalities such as satellite imagery processing, comprehensive geodatabase management, and advanced analysis using LiDAR point clouds, providing a robust foundation for precision mapping and spatial data interpretation.

You will engage with real-world workflows focused on practical application, learning how to download, organize, and process satellite data from trusted sources like USGS Earth Explorer. With this foundation, you can confidently prepare and manipulate imagery to extract valuable insights from raster datasets and leverage ArcGIS Pro’s powerful visualization tools.

Beyond imagery, this course expands your skills into content creation, covering how to share geospatial data effectively via ArcGIS Online and how to design interactive StoryMaps that integrate multimedia elements. These skills empower you to produce compelling presentations and web-based content, enhancing collaboration and communication within your organization or with the public.

The curriculum also includes mobile GIS development using AppStudio for ArcGIS, enabling you to create customized field applications for capturing and managing spatial data in real-time environments. This practical knowledge supports efficient data collection workflows essential for fieldwork in diverse sectors.

The course covers detailed techniques in cartography and layout design, both from existing .mxd templates and from scratch within ArcGIS Pro, ensuring you can produce high-quality map products suitable for reports, presentations, or publishing.

Bonus lessons deepen your proficiency with advanced image segmentation and classification, fundamental for remote sensing analysts and GIS specialists aiming to classify and interpret satellite or aerial imagery with precision. Additionally, Excel hacks tailored for GIS and CAD users streamline data manipulation and integration tasks.

Learning Objectives

By the end of this course, you will be able to:

  • Process and analyze satellite imagery for environmental and spatial studies.

  • Create, manage, and query robust Geodatabases to organize spatial data efficiently.

  • Handle and perform advanced analysis on LiDAR point clouds to extract terrain and feature data.

  • Publish and share maps and layers seamlessly using ArcGIS Online.

  • Develop interactive StoryMaps that combine geographic data with multimedia content.

  • Design and produce professional-quality map layouts from templates and from scratch.

  • Create mobile GIS applications using AppStudio for efficient field data collection.

  • Apply advanced image segmentation techniques for object-based classification.

  • Implement image classification methods to categorize satellite imagery pixels effectively.

  • Utilize GIS and CAD-focused Excel hacks to improve data management and workflow.

Who Should Take This Course

  • GIS professionals seeking to expand their advanced ArcGIS Pro skills.

  • Remote sensing analysts interested in satellite image processing and classification.

  • Cartographers aiming to master layout design and map production.

  • Field data collectors and mobile GIS users developing customized app solutions.

  • Spatial analysts working with LiDAR and complex geodatabases.

  • Users transitioning from ArcMap or other GIS software to advanced ArcGIS Pro capabilities.

  • Educators and students aiming for comprehensive hands-on experience with modern GIS technology.

Course Structure

Section 1: Advanced Analysis in ArcGIS Pro
Learn advanced techniques for satellite imagery processing, geodatabase management, and LiDAR point cloud handling to enhance spatial analysis.

Section 2: Content Creation and Sharing
Master creating, designing, and sharing geospatial content with ArcGIS Online, StoryMaps, and layout creation from templates and scratch.

Section 3: Mobile Applications for Field Work
Develop mobile applications for efficient field data capture and management using AppStudio for ArcGIS.

Section 4: Bonus Lessons: Advanced Image Processing and Tools
Explore advanced image segmentation and classification techniques, plus GIS/CAD Excel hacks to boost spatial data analysis and productivity.

Why Take This Course

This course delivers practical, career-relevant skills that enable you to solve real-world GIS problems with confidence. Learning to work with complex datasets like satellite imagery and LiDAR equips you to unlock new insights and support data-driven decision-making.

The hands-on exercises and included datasets foster experiential learning, ensuring you can apply ArcGIS Pro’s powerful features immediately in your projects. Sharing and publishing content using ArcGIS Online and StoryMaps expands your ability to communicate spatial information clearly and interactively.

Mobile application development knowledge enhances field workflows, increasing efficiency and data accuracy for organizations reliant on field-collected geospatial data. Advanced image processing techniques taught in this course deepen your analytical capabilities, preparing you for roles requiring expertise in remote sensing and spatial classification.

Professional Context

ArcGIS Pro is a leading GIS platform widely used by government agencies, environmental consultancies, urban planners, and geospatial professionals worldwide. Mastery of its advanced features positions you competitively in the job market and enables you to contribute significantly to projects requiring detailed spatial analysis, cartographic design, and data sharing.

This comprehensive course aligns with industry standards and evolving GIS technologies, ensuring you develop skills that are both current and applicable across multiple disciplines within the geospatial field.

Who this course is for:

  • GIS professionals aiming to deepen advanced ArcGIS Pro skills and spatial analysis capabilities.
  • Remote sensing analysts interested in satellite image processing and classification techniques.
  • Cartographers looking to master map layout design and production workflows.
  • Mobile GIS users and field data collectors seeking to develop custom applications for data capture.
  • Spatial analysts working with LiDAR data and complex geodatabases.
  • Users transitioning from ArcMap or other GIS software to advanced ArcGIS Pro functionality.
  • Educators and students pursuing comprehensive, practical experience with modern GIS technology.
  • Environmental consultants and planners needing advanced GIS solutions for real-world projects.