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Bewertung und Feedback des Lernenden für Imagery, Automation, and Applications von University of California, Davis

635 Bewertungen
131 Bewertungen

Über den Kurs

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....



21. Okt. 2021

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. Juli 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.....

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101 - 125 von 130 Bewertungen für Imagery, Automation, and Applications


17. Sep. 2017

good very good !

von Leydi R

28. Feb. 2017

Excellent course


24. Aug. 2016

best course ever

von Yiran W

29. Aug. 2017

Great course!

von MA X

3. Okt. 2016

Very Helpful.

von Donny B

3. Juni 2019

Good course!

von Carlos T H

8. Sep. 2018


von Romulo S G d O

20. Nov. 2017


von Alex V

2. Dez. 2016


von Nura K

10. Nov. 2016

Yes for sure

von MOHAMMED20100241

17. Nov. 2021

very GOOOD

von Alex J M

12. Juli 2021


von Jessica B

10. Jan. 2017


von Atti

14. Nov. 2016

i like it

von Humberto G M

26. Dez. 2020


von Kubilay S

13. Nov. 2020


von Ahmed M A A

5. Feb. 2019


von Sana u K

1. Nov. 2018


von Mahamadou K

17. Mai 2020


von بهاء ع ح ع

21. Feb. 2019


von Rafat A

27. Sep. 2017


von Zahid A K

23. Aug. 2016


von Albert B F

11. Juni 2017


von James A B

28. Okt. 2020

Great course but I have to rate it a four because the content is way too fast paced and not explained well enough or in enough detail. Too generalised to be very helpful. I ended up having to submit my final assignment late which I am not happy about because of this

von Hendrik H

9. Feb. 2021

Sometimes there should be more help from the instructors e. g. concerning provided data that does not work, because the link is too old. Nevertheless a great course!