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Image analysis with ArcGIS

Image analysis with ArcGIS

Image analysis with ArcGIS

Professional 2 Weekends ▪ Field Experience

5.0 Drone Pilot for Professionals (100% Practical) ▪ Exam & Certificate

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Course Description:

This course is for GIS professionals and imagery analysts in the private sector and civilian government agencies who need to extract meaningful information from satellite imagery, unmanned aerial vehicle (UAV)-collected data, and other imagery formats

Course Highlights:

  • Target audience: GIS professionals and analysts in the private sector and government agencies.
  • Information extraction: Analyze diverse imagery sources, including satellite imagery and UAV data.
  • Practical applications: Gain skills for real-world decision-making scenarios.
  • Comprehensive training: Cover essential tools and methods for effective image interpretation.

Our Certificate is Recognized by Top Industries

Certificate of completion

Image Analysis with ArcGIS Mastering and Completion.

Increased job opportunities and career prospects

Higher client confidence and trust

l

Courses Modules

1. Rasters

A. Understanding raster data formats and properties
B. Importing and managing raster datasets in ArcGIS Pro
C. Raster visualization techniques: symbology and display options
D. Raster data exploration: querying and examining pixel values
E. Raster data preprocessing: resampling, reprojecting, and mosaicking
F. Raster data extraction: subset and clip operations
G. Raster algebra: performing mathematical operations on raster datasets
H. Terrain analysis with rasters: creating elevation models and slope maps
I. Raster interpolation methods: creating continuous surfaces from point data
J. Raster data integration with vector data in spatial analysis

2. Rasters functions

A. Understanding the concept of raster functions and their applications
B. Exploring the available raster functions in ArcGIS Pro
C. Applying basic arithmetic and mathematical operations to rasters
D. Performing neighborhood operations using raster functions
E. Applying filters and smoothing techniques to rasters
F. Enhancing and adjusting raster display properties using functions
G. Creating raster masks and clipping using functions
H. Raster overlay and combining multiple rasters with functions

3. Change detection with raster functions

A. Data preparation for change detection analysis
B. Importing and managing raster datasets for change detection
C. Exploring different change detection algorithms and techniques
D. Utilizing raster functions for change detection analysis
E. Image differencing: subtracting raster datasets to identify change
F. Thresholding techniques for change detection
G. Change vector analysis: quantifying magnitude and direction of change
H. Object-based change detection: segmenting and classifying change areas
I. Change detection using vegetation indices and remote sensing data
J. Multitemporal change detection: analyzing changes over multiple time periods
K. Accuracy assessment and validation of change detection results
L. Visualizing and interpreting change detection outputs 
M. Change detection for environmental monitoring and land cover mapping
N. Change detection in urban areas and infrastructure monitoring

4. Image classification techniques

A. Understanding remote sensing and image classification concepts
B. Data preparation for image classification
C. Preprocessing techniques for image classification (e.g., radiometric calibration, atmospheric correction)
D. Supervised classification: Training sample collection and selection
E. Creating training samples and classifying pixels using the Maximum Likelihood Classifier
F. Object-based image classification: Segmenting and classifying image objects
G. Unsupervised classification: Clustering pixels based on spectral similarity
H. Accuracy assessment of classified images
I. Change detection using image classification techniques
J. Classification of multi-temporal satellite imagery
K. Classification of aerial imagery and drone data
L. Classification of land cover and land use classes
M. Classification of land cover and land use classes

5. Geoinfotech Online Test

A. Exam and Assessment

6. Award Of Certificate

A. Certificate

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Managing Geospatial Data in ArcGIS

Managing Geospatial Data in ArcGIS

Managing Geospatial Data in ArcGIS

Professional 2 Weekends ▪ Field Experience

5.0 Drone Pilot for Professionals (100% Practical) ▪ Exam & Certificate

Register for this CourseGo to All Courses

Course Description:

This course takes you on an in-depth exploration of the geodatabase, the native data storage format for ArcGIS software

Course Highlights:

  • In-depth exploration: Comprehensive study of geodatabase in ArcGIS software.
  • Native data storage: Efficient data management with structured organization.
  • ArcGIS software focus: Seamless integration for analysis and visualization.
  • Enhanced data management: Advanced skills in design, loading, editing, and querying.

Our Certificate is Recognized by Top Industries

Certificate of completion

Managing Geospatial Data in ArcGIS Mastering and Completion.

Increased job opportunities and career prospects

Higher client confidence and trust

l

Courses Modules

1. Why use a geodatabase

A. Introduction to geodatabases and their benefits
B. Understanding the structure and components of a geodatabase
C. Creating a geodatabase in ArcGIS
D. Importing and organizing data into a geodatabase
E. Managing spatial data with feature classes in a geodatabase
F. Working with attribute data using tables in a geodatabase
G. Creating and managing relationship classes in a geodatabase
H. Establishing and maintaining data integrity with geodatabase rules
I. Implementing geodatabase domains for data consistency
J. Leveraging subtypes and attribute domains in a geodatabase

2. Improving data integrity with geodatabase structure

A. Introduction to data integrity and geodatabase structure
B. Understanding the importance of data integrity in spatial data management
C. Overview of geodatabase structure and its components
D. Creating and managing feature classes and feature datasets in geodatabases
E. Implementing domains and subtypes for data integrity
F. Utilizing attribute rules for data validation and enforcement
G. Enforcing relationships and referential integrity in geodatabases
H. Versioning and editing workflows for maintaining data integrity
I. Implementing geodatabase topology for spatial data integrity checks
J. Leveraging geodatabase behavior and validation rules

3. Associate non geographic data with geographic data

A. Understanding the relationship between geographic and non-geographic data
B. Data preparation for data association integrity in spatial data management
C. Importing non-geographic data into ArcGIS
D. Data integration techniques for associating non-geographic data with geographic data
E. Joining tables based on common attributes
F. Relating tables to establish database relationships
G. Linking external data sources to geographic data
H. Attribute queries and selections for data association
I. Spatial joins for combining geographic and non-geographic data
J. Field calculations and data transformations for data association
K. Visualizing associated data

4. Managing raster data

A. Understanding raster data formats and properties
B. Importing and exporting raster data in ArcGIS
C. Georeferencing raster images and correcting spatial alignment
D. Mosaic datasets: Creating and managing large collections of raster data
E. Raster catalog: Organizing and managing raster datasets
F. Raster dataset properties and metadata management
G. Data compression techniques for efficient raster storage
H. Raster data reclassification and resampling
I. Raster data conversion and format transformation
J. Raster data subsetting and extraction
K. Raster dataset enhancement and visualization techniques
L. Raster analysis tools and operations in ArcGIS
M. Raster data time series analysis and management
N. Multi-band raster data management and analysis

5. Designing geodatabase topologies

A. Understanding the importance of geodatabase topologies in data integrity
B. Overview of topology rules and their applications
C. Creating a new geodatabase topology
D. Defining and configuring topology rules for feature classes
E. Understanding different types of topology rules (e.g., connectivity, adjacency, containment)
F. Validating and fixing topology errors in ArcGIS
G. Understanding topology exceptions and managing exception rules
H. Using the Topology Edit toolset for advanced topology editing
I. Topology validation and error reporting

6. Migrating to an enterprise geodatabase

A. Introduction to enterprise geodatabases and their benefits
B. Planning the migration process to an enterprise geodatabase
C. Assessing data readiness for migration: data review and cleanup
D. Choosing the appropriate enterprise geodatabase technology (e.g., PostgreSQL, Oracle, SQL Server)
E. Configuring the enterprise geodatabase environment
F. Creating a geodatabase in the enterprise environment
G. Data migration techniques: transferring data to the enterprise geodatabase
H. Schema mapping and data transformation during migration
I. Managing and preserving data relationships during migration
J. Implementing data security and access controls in the enterprise geodatabase

7. Working with enterprise geodatabase

A. Managing user roles and permissions in the enterprise geodatabase
B. Data loading and importing into the enterprise geodatabase
C. Versioning and multi-user editing in the enterprise geodatabase
D. Geodatabase replication and synchronization
E. Backup and recovery strategies for the enterprise geodatabase

8. Editing workflows in a geodatabase

A. Understanding the structure and components of a geodatabase
B. Creating and setting up a geodatabase for editing
C. Navigating the editing environment in ArcGIS
D. Editing data attributes: adding, updating, and deleting records
E. Spatial editing techniques: creating, modifying, and deleting features
F. Geometric editing tools: reshape, split, merge, and trace
G. Editing topological relationships in a geodatabase
H. Geodatabase domains: creating and managing attribute value restrictions
I. Managing edits and undo/redo operations in ArcGIS Pro
J. Editing with geodatabase validation rules and constraints
K. Working with subtypes and attribute domains during editing

9. Geoinfotech Online Test

A. Exam and Assessment

10. Award Of Certificate

A. Certificate

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