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GIS Image Analysis in ArcGIS Pro
edX
Course
Intermediate
Free to Audit
Certificate

GIS Image Analysis in ArcGIS Pro

University of Alaska Fairbanks

Learn fundamentals of remote sensing, image analysis, image processing and its application to real-world problems such as changing water bodies, vegetation health, and wildfire severity.

4 hrs/week4 weeksEnglish12,639 enrolled
Free to Audit

About this Course

Image analysis is the extraction of meaningful information from an image to accomplish a simple task like understanding the landscape or to solve a complex problem like face recognition. This course is focused on image analysis and applications in the area of natural resource management, geography, geology, and environmental studies. Participants will use a variety of remotely sensed data including high resolution aerial photo of earth, Landsat and Terra MODIS satellite data to solve specific problems. Learners in this course will learn fundamentals of remote sensing, image processing, and image analysis. Learn image analysis in Esri ArcGIS Pro through hands-on exercises including image display, image interpretation, change detection using spectral indices, supervised and unsupervised image classification for land cover mapping, and effect of arctic warming on vegetation productivity. The course features lessons covering GIS image analysis applications on real-world problems. Verified track learners will receive one-year ArcGIS Pro Desktop (Windows) license with support only for tools used in the course in addition to unlimited course access and a verified certificate. Sign up for this online course or full GIS Essentials certificate today to expand your skill set in geographic information systems.

What You'll Learn

  • Access open source satellite image and data products for any part of the world
  • Perform image analysis using raster functions and raster geoprocessing tools in ArcGIS Pro software efficiently
  • Use appropriate image bands for feature visualization and image interpretation
  • Use spectral indices to assess vegetation health, wildfire burnscars, and lake change
  • Use unsupervised and supervised classification algorithms to create land cover maps
  • Create publication quality charts using data from an attribute table for communicating image analysis results

Prerequisites

  • GIS1x: Geographic Information System (GIS) Foundations is highly recommended and precedes this course in the edX GIS Professional Certificate.Windows OS is required to run ArcGIS Pro software.

Instructors

S

Santosh Panda

Associate Professor

A

Anushree Badola

Postdoctoral Researcher

C

Chris Smith

Geospatial Data Analyst

Topics

Digital Elevation Models
Environmental Studies
Image Analysis
Image Resolution
Natural Resource Management
ArcGIS (GIS Software)
Contextual Image Classification
Geographic Information Systems
Mapping
Geology
Georeference
Remote Sensing

Course Info

PlatformedX
LevelIntermediate
PacingUnknown
CertificateAvailable
PriceFree to Audit

Skills

نماذج الارتفاعات الرقمية
الدراسات البيئية
تحليل الصور
دقة الصور
إدارة الموارد الطبيعية
ArcGIS (GIS Software)
Contextual Image Classification
Geographic Information Systems
Mapping
Geology

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