Informações sobre o curso
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Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 20 horas para completar

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


Legendas: Inglês

O que você vai aprender

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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

Habilidades que você terá

Geographic Information System (GIS)Imagery AnalysisSpatial Analysissatellite imageryGis Applications

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 20 horas para completar

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


Legendas: Inglês

Programa - O que você aprenderá com este curso

7 horas para concluir

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 vídeos ((Total 144 mín.)), 3 leituras, 2 testes
14 videos
Course Mechanics4min
Remote Sensing Basics6min
Characteristics of Remotely Sensed Data7min
Modes of Acquisition9min
Acquisition Platforms10min
Acquiring Imagery and Terrain Data12min
Working with Imagery in ArcMap12min
Normalized Difference Vegetation Index (NDVI)20min
Classifying Imagery and Derived Products25min
Map Algebra/Raster Calculator/Overlaying Rasters10min
Create Constant/Random Raster5min
Geospatial Modelling Environment7min
3 leituras
Getting Started in this Course10min
Getting Help in this Course10min
Assignment: Image Classification3h
2 exercícios práticos
Module 1 Quiz20min
Lesson 2 Quiz10min
7 horas para concluir

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 vídeos ((Total 148 mín.)), 3 leituras, 2 testes
13 videos
What is ModelBuilder?12min
Creating Toolboxes and Tools with ModelBuilder12min
Setting Up a Larger Model8min
Using Interface Tools as Geoprocessing Tools in ModelBuilder15min
Feature Layers and Selections in Models10min
Branching, Preconditions, and Viewing Progress Interactively14min
Polishing Models for Reuse13min
Advanced Models and Exporting Models to Python6min
Geocoding and Reverse Geocoding17min
Time Enabled Data10min
Spatial Statistics Introduction13min
ArcGIS Pro Introduction12min
3 leituras
Tutorial Assignment 2: ModelBuilder for Hydrology3h
Extra Practice: ModelBuilder10min
Extra Practice: Geocoding10min
2 exercícios práticos
Lesson 3 Quiz15min
Lesson 4 Quiz10min
6 horas para concluir

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 vídeos ((Total 106 mín.)), 1 leitura, 2 testes
9 videos
Cut Fill8min
Vector-Based Suitability Analysis15min
Fuzzy Suitability Analysis21min
Watershed Processing14min
Processing DEMs into Streamlines15min
1 leituras
Tutorial Assignment 3: ArcGIS Spatial Analyst Extension3h
2 exercícios práticos
Lesson 5 Quiz10min
Lesson 6 Quiz10min
8 horas para concluir

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 vídeos ((Total 100 mín.)), 1 leitura, 2 testes
11 videos
Region Group10min
Focal Statistics and the Swiss Hillshade11min
Point Density8min
Online and Connected Applications8min
Collecting and Managing Data for Your Workflows10min
Additional Desktop GIS Topics10min
Programming GIS Software, Server-Side GIS, and Cartography14min
Other GIS Tools & Plugins, and Joining Communities10min
Course Summary3min
1 leituras
Continue Learning GIS10min
1 exercício prático
Lesson 7 Quiz10min
70 avaliaçõesChevron Right


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Principais avaliações do Imagery, Automation, and Applications

por 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.....

por 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

Sobre Universidade da Califórnia, 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....

Sobre o Programa de cursos integrados Sistema de Informação Geográfica (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....
Sistema de Informação Geográfica (SIG)

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

  • 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.

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