Chevron Left
Вернуться к Imagery, Automation, and Applications

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

4.9
звезд
Оценки: 639

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

EG

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.

SM

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:

51–75 из 133 отзывов о курсе Imagery, Automation, and Applications

автор: Asha P D

25 сент. 2020 г.

Amazing study material, well organized test and lectures. wonderful experience learning everything in details .

автор: Patrick N

25 нояб. 2020 г.

Thanks for this Course in the Specialization. I'm grateful to Nick Santos, his entire team and UC Davis.

автор: Tomas B M

28 сент. 2019 г.

Very much worth it, although harder and slightly more demanding than the previous courses in the series!

автор: Tetteh A

10 янв. 2021 г.

A very good and packed course that teaches lots on satellite Imagery classification and Model building.

автор: Kazi J R

27 авг. 2019 г.

I've learned a lot about satellite imagery and it's applications via this course. Thank you coursera.

автор: Jolaade O

20 дек. 2018 г.

I have learnt a lot, really excellent, the assignment and discussion forum makes you want to do more

автор: Aleksei P

13 июля 2022 г.

Taking this course helps to get a lot of useful information about the analysis of satellite images.

автор: Simona V

29 мар. 2021 г.

Nick Santos is a great instructor and the course is extremely well done. I highly recommend it!

автор: Tak S T

6 янв. 2021 г.

very clear and good exercise, give you strong foundation to face the more challeng in the field

автор: Ramu S

7 июня 2020 г.

Excellent class for GIS, this course give more data for our study and good understanding videos

автор: Miguel D S R

6 июля 2020 г.

Excelente curso, muy interesantes las herramientas para aprovechar las imágenes satelitales.

автор: karmvir s r

23 апр. 2017 г.

Best of the specialization!!!!!! Amazing instructor, mentors and course material!!!

автор: Tahira I

22 июля 2020 г.

A Great Course to learn Imagery and Automation and model builder concepts in GIS.

автор: Alexa C

26 окт. 2019 г.

Valuable information. Smooth learning, except some issues with the final toolbox.

автор: Kasi P

11 сент. 2018 г.

Amazing course with in depth concepts on Remote Sensing and GIS Applications

автор: Priti R

26 февр. 2019 г.

Great course to learn applications of remote sensing and imaging in GIS!

автор: Andrea D G

22 нояб. 2021 г.

Genial para aprender procesamiento y análisis de imágenes satelitales

автор: Oghenevwede E

18 февр. 2019 г.

Great course, high level work on GIS, great videos and assignments.

автор: Kevin B

17 февр. 2017 г.

great course, seems to provide a bunch of real world applications!

автор: Jerry L

24 дек. 2019 г.

A very comprehensive learning of ArcMap towards the advance level

автор: Amira E T

14 июля 2018 г.

Thank you for all your efforts and the amazing informative course

автор: Rashik K

20 мая 2020 г.

For me, This is the best course so far in this specialization!!

автор: Valerie S

21 авг. 2017 г.

This has been my favorite course of the specialization so far!

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.