À propos de ce cours
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Approx. 20 heures pour terminer

Recommandé : 4 weeks of study, 2-5 hours/week...


Sous-titres : Anglais

Ce que vous allez apprendre

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    Use the imagery in two different common types of analysis: NDVI and trained classification

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    Practice with tools to support image analysis using Raster Calculation and Spatial Analyst

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    Develop a large processing workflow in ModelBuilder

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    Use products derived from digital elevation models

Compétences que vous acquerrez

Geographic Information System (GIS)Imagery AnalysisSpatial Analysissatellite imageryGis Applications

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Approx. 20 heures pour terminer

Recommandé : 4 weeks of study, 2-5 hours/week...


Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

7 heures pour terminer

Course Overview, Imagery, and Raster Calculator

In this module, we'll learn all about remote sensing and satellite imagery, starting out with an introduction to remotely sensed data and the electromagnetic spectrum before learning about satellite and aerial imagery capture and data products. You'll learn how to find and download satellite imagery online and how to use it in two different common types of analysis: NDVI and a trained classification. In the second lesson, you'll learn how to use some basic tools to support image analysis using Raster Calculator and Spatial Analyst.

14 vidéos (Total 144 min), 3 lectures, 2 quiz
14 vidéos
Course Mechanics4 min
Remote Sensing Basics6 min
Characteristics of Remotely Sensed Data7 min
Modes of Acquisition9 min
Acquisition Platforms10 min
Acquiring Imagery and Terrain Data12 min
Working with Imagery in ArcMap12 min
Normalized Difference Vegetation Index (NDVI)20 min
Classifying Imagery and Derived Products25 min
Map Algebra/Raster Calculator/Overlaying Rasters10 min
Con/SetNull7 min
Create Constant/Random Raster5 min
Geospatial Modelling Environment7 min
3 lectures
Getting Started in this Course10 min
Getting Help in this Course10 min
Assignment: Image Classification3 h
2 exercices pour s'entraîner
Module 1 Quiz20 min
Lesson 2 Quiz10 min
7 heures pour terminer

ModelBuilder and Other Topics

In this module, we will learn about ModelBuilder, a drag and drop tool for automating, and reusing workflows in ArcGIS. We'll explore how models are constructed, build our own models, and undertake building a large processing workflow together in ModelBuilder that uses parameters, preconditions, variables, and a set of tools we haven't used before to work. In the second half of the module, we'll take a brief look at a few topics you should know about, but that we won't have time to explore in depth. You'll be introduced to geocoding, time enabled data, spatial statistics, and ArcGIS Pro. These are little teasers of potential capabilities you might want to explore more in the future on your own.

13 vidéos (Total 148 min), 3 lectures, 2 quiz
13 vidéos
What is ModelBuilder?12 min
Creating Toolboxes and Tools with ModelBuilder12 min
Setting Up a Larger Model8 min
Using Interface Tools as Geoprocessing Tools in ModelBuilder15 min
Feature Layers and Selections in Models10 min
Branching, Preconditions, and Viewing Progress Interactively14 min
Polishing Models for Reuse13 min
Advanced Models and Exporting Models to Python6 min
Geocoding and Reverse Geocoding17 min
Time Enabled Data10 min
Spatial Statistics Introduction13 min
ArcGIS Pro Introduction12 min
3 lectures
Tutorial Assignment 2: ModelBuilder for Hydrology3 h
Extra Practice: ModelBuilder10 min
Extra Practice: Geocoding10 min
2 exercices pour s'entraîner
Lesson 3 Quiz15 min
Lesson 4 Quiz10 min
6 heures pour terminer

Digital Elevation Models and Common Algorithms

In this module, we'll be looking at DEMs and workflows. In the first half, we'll make and use a handful of products derived from digital elevation models, including contour lines, hillshades, viewsheds, and the cut fill tool. In the second half of the module, we'll go through a few common algorithms, starting with one of the most important ones to know: the suitability analysis. Then, we'll learn about the hydrologic processing you did in the tutorial assignment for the previous module and go through it step by step together.

9 vidéos (Total 106 min), 1 lecture, 2 quiz
9 vidéos
Contours12 min
Hillshade9 min
Viewshed9 min
Cut Fill8 min
Vector-Based Suitability Analysis15 min
Fuzzy Suitability Analysis21 min
Watershed Processing14 min
Processing DEMs into Streamlines15 min
1 lecture
Tutorial Assignment 3: ArcGIS Spatial Analyst Extension3 h
2 exercices pour s'entraîner
Lesson 5 Quiz10 min
Lesson 6 Quiz10 min
8 heures pour terminer

Spatial Analyst and Where to Go from Here

In this module, we'll start by learning how to use a few different tools and concepts in Spatial Analyst that we haven't touched on before. We'll use Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. In the second half of the module, we'll give you some suggestions of directions for future learning by showing you all the things we *didn't* cover in this specialization, including web and mobile GIS applications, field data collection workflows, industry specific tools and workflows, spatial statistics, in-depth design and cartography, programming and GIS servers, and other GIS systems like QGIS and companion applications like Geospatial Modelling Environment. These can serve as seeds for your future GIS learning and careers!

11 vidéos (Total 100 min), 1 lecture, 2 quiz
11 vidéos
Region Group10 min
Focal Statistics and the Swiss Hillshade11 min
Reclassify10 min
Point Density8 min
Online and Connected Applications8 min
Collecting and Managing Data for Your Workflows10 min
Additional Desktop GIS Topics10 min
Programming GIS Software, Server-Side GIS, and Cartography14 min
Other GIS Tools & Plugins, and Joining Communities10 min
Course Summary3 min
1 lecture
Continue Learning GIS10 min
1 exercice pour s'entraîner
Lesson 7 Quiz10 min
72 avisChevron Right


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Principaux examens pour Imagery, Automation, and Applications

par SMJul 17th 2017

The course contents are up to date and equip the learner to face the real world of Remote sensing and GIS. I encourage those who still hesitate to get enrolled to make their decision soon.....

par LHFeb 19th 2019

Si quieres aprender acerca de detección remota, este es el curso indicado. He aprendido muchísimo acerca de imagen y creación de modelos para correr procesos en SIG



Nick Santos

Geospatial Applications Researcher
Center for Watershed Sciences

À propos de Université de Californie à Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

À propos de la Spécialisation Systèmes d'informations géographiques (SIG)

Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques....
Systèmes d'informations géographiques (SIG)

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

  • You should have some experience in GIS before taking this course - it's not for beginners. This is the fourth course in the Geographic Information Systems specialization, and you should have taken the first three courses in the specialization, "Fundamentals of GIS", "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis" here on Coursera before enrolling in this course, or have equivalent experience. If you're not sure if you have equivalent experience, you can audit those courses for free to look through the materials and fill in any gaps. Search for them by name on the site to find them.

    Since all of the courses in the specialization run monthly, you won't miss out on this course by enrolling in those courses first. This course will have a new session once you have the skills needed to take it.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.