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Вернуться к Imagery, Automation, and Applications

Отзывы учащихся о курсе Imagery, Automation, and Applications от партнера Калифорнийский университет в Девисе

Оценки: 659

О курсе

Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). Using the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules: Week 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification. Week 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro. Week 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis. Week 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: 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. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, "Fundamentals of GIS," "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis," respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone....

Лучшие рецензии


21 окт. 2021 г.

This was SO difficult and also so rewarding. Definitely the best test of our skills to date. The tasks tend to take a considerably amount longer than estimated by Coursera, FYI, if you're a beginner.


16 июля 2017 г.

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.....

Фильтр по:

76–100 из 136 отзывов о курсе Imagery, Automation, and Applications

автор: Nicole D

10 мая 2021 г.

Thank you for this opportunity, I've learnt so much so far.

автор: Daniel T

19 мар. 2020 г.

This was an amazing course. The best of the specialization.

автор: Tyler W

8 янв. 2017 г.

Great value! Excellent overview of GIS-based analysis

автор: POYING L

22 янв. 2019 г.

like to learn about how to work on satellite imagery

автор: Jesús A

15 мая 2017 г.

Outstanding. A must for any remote sensing analyst.

автор: Sara O

20 авг. 2016 г.

An excellent and thorough course. I learned a lot.

автор: Marjorie F L

13 дек. 2021 г.

Excellent course - thanks Nick and Coursera


28 окт. 2017 г.

Here you'ill start feel that you are control

автор: SUPATH D

16 авг. 2022 г.

Nice for basics of ArcGIS and automation.

автор: Oscar E G

28 авг. 2020 г.

El mejor curso que puedes encontrar de SIG

автор: Pin W

17 авг. 2017 г.

Like the course and the way Nick teaches.

автор: Rafiul A

25 мая 2020 г.

highly recommended for advance learning

автор: Hisham T K

16 сент. 2016 г.

I Love every thing about GIS & Coursera

автор: Dmitry E

8 дек. 2016 г.

Thanks for a very interesting course!

автор: Houachtia Z

11 июня 2020 г.

Very good course

thank you very much

автор: Mohamed H

9 апр. 2018 г.

Thank you for this powerful content

автор: Abdirahman O

15 февр. 2018 г.

Wonderful and quite useful course.

автор: Abdulkadir D R

15 мая 2017 г.

very good and well prepared course

автор: Justin N

31 окт. 2016 г.

Great course. Awesome instructor.

автор: CHINEDU O

23 сент. 2016 г.

Very challenging and Fantastic!

автор: Janix A ( C

10 авг. 2016 г.

Very suitable for my GIS career

автор: Aurora H

19 сент. 2016 г.

Very helpful. I learned a lot!

автор: Barak G

30 авг. 2020 г.

Best of them 4 classes so far

автор: Deleted A

25 июля 2017 г.

Applications are very useful

автор: Kweku D A

13 янв. 2021 г.

great and insightful course