Об этом курсе
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Прибл. 20 часа на выполнение

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


Субтитры: Английский

Чему вы научитесь

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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

Приобретаемые навыки

Geographic Information System (GIS)Imagery AnalysisSpatial Analysissatellite imageryGis Applications

100% онлайн

Начните сейчас и учитесь по собственному графику.

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.

Прибл. 20 часа на выполнение

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


Субтитры: Английский

Программа курса: что вы изучите

7 ч. на завершение

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 видео ((всего 144 мин.)), 3 материалов для самостоятельного изучения, 2 тестов
14 видео
Course Mechanics4мин
Remote Sensing Basics6мин
Characteristics of Remotely Sensed Data7мин
Modes of Acquisition9мин
Acquisition Platforms10мин
Acquiring Imagery and Terrain Data12мин
Working with Imagery in ArcMap12мин
Normalized Difference Vegetation Index (NDVI)20мин
Classifying Imagery and Derived Products25мин
Map Algebra/Raster Calculator/Overlaying Rasters10мин
Create Constant/Random Raster5мин
Geospatial Modelling Environment7мин
3 материала для самостоятельного изучения
Getting Started in this Course10мин
Getting Help in this Course10мин
Assignment: Image Classification
2 практического упражнения
Module 1 Quiz20мин
Lesson 2 Quiz10мин
7 ч. на завершение

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 видео ((всего 148 мин.)), 3 материалов для самостоятельного изучения, 2 тестов
13 видео
What is ModelBuilder?12мин
Creating Toolboxes and Tools with ModelBuilder12мин
Setting Up a Larger Model8мин
Using Interface Tools as Geoprocessing Tools in ModelBuilder15мин
Feature Layers and Selections in Models10мин
Branching, Preconditions, and Viewing Progress Interactively14мин
Polishing Models for Reuse13мин
Advanced Models and Exporting Models to Python6мин
Geocoding and Reverse Geocoding17мин
Time Enabled Data10мин
Spatial Statistics Introduction13мин
ArcGIS Pro Introduction12мин
3 материала для самостоятельного изучения
Tutorial Assignment 2: ModelBuilder for Hydrology
Extra Practice: ModelBuilder10мин
Extra Practice: Geocoding10мин
2 практического упражнения
Lesson 3 Quiz15мин
Lesson 4 Quiz10мин
6 ч. на завершение

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 видео ((всего 106 мин.)), 1 материал для самостоятельного изучения, 2 тестов
9 видео
Cut Fill8мин
Vector-Based Suitability Analysis15мин
Fuzzy Suitability Analysis21мин
Watershed Processing14мин
Processing DEMs into Streamlines15мин
1 материал для самостоятельного изучения
Tutorial Assignment 3: ArcGIS Spatial Analyst Extension
2 практического упражнения
Lesson 5 Quiz10мин
Lesson 6 Quiz10мин
8 ч. на завершение

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 видео ((всего 100 мин.)), 1 материал для самостоятельного изучения, 2 тестов
11 видео
Region Group10мин
Focal Statistics and the Swiss Hillshade11мин
Point Density8мин
Online and Connected Applications8мин
Collecting and Managing Data for Your Workflows10мин
Additional Desktop GIS Topics10мин
Programming GIS Software, Server-Side GIS, and Cartography14мин
Other GIS Tools & Plugins, and Joining Communities10мин
Course Summary3мин
1 материал для самостоятельного изучения
Continue Learning GIS10мин
1 практическое упражнение
Lesson 7 Quiz10мин
Рецензии: 72Chevron Right


начал новую карьеру, пройдя эти курсы


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стал больше зарабатывать или получил повышение

Лучшие отзывы о курсе Imagery, Automation, and Applications

автор: 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.....

автор: 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

О Калифорнийский университет в Девисе

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....

О специализации ''Геоинформационные системы (ГИС)'

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....
Геоинформационные системы (ГИС)

Часто задаваемые вопросы

  • Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.

  • Записавшись на курс, вы получите доступ ко всем курсам в специализации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.

  • 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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