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学生对 加州大学戴维斯分校 提供的 Imagery, Automation, and Applications 的评价和反馈

4.9
558 个评分
109 条评论

课程概述

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....

热门审阅

SM
Jul 16, 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.....

AA
Oct 27, 2020

Very good course, but certain topics evaluated in this course were not well explain, specially remote sensing images processing (downloading and managing them to GIS)

筛选依据:

101 - Imagery, Automation, and Applications 的 108 个评论(共 108 个)

创建者 Albert B F

Jun 11, 2017

H

创建者 Adrian H

Nov 3, 2020

Peer review is ok for the first courses of the specialization, but now, here, real feedback is necessary. I hope that in the capstone project somehow someone from UCDavis engage a little bit more. I learned a lot, of course, but guidance, at least a little bit, is necessary.

创建者 James A B

Oct 27, 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

创建者 Phoukhong P

Jun 29, 2019

I like it very much. The web interface for learning are upgraded for better navigation and view!

创建者 Alexander D

Jun 21, 2020

Some of the lessons don't make sense and need more explanation

创建者 Henry M M

Mar 1, 2017

Good

创建者 April H

Dec 26, 2017

This course contains a good amount of information for intermediate GIS users, but it repeats too much material from the previous courses and the presentation of the material could sometimes be organized better. The remote sensing section is actually information-dense and overwhelming, and I'm disappointed that spatial statistics wasn't covered in more detail. Overall, I think the people who would get the most out of this class are those who are interested specifically in learning basic information about remote sensing and/or automation in ArcGIS.

As a sidenote, while the instructor does a very good job of simplifying concepts that not all students may have experience with, he for some reason feels the need to reassure his audience that he isn't going to delve into the difficulties of math. I think he should mention the bounds of the class without implying that math is prohibitively difficult; people only think math is hard because others make it seem so, and we shouldn't discourage people from learning more.

创建者 ERIC J

Aug 16, 2020

this is a very difficult but challenging course. it will make you think be creative, and take it as a challenge. you will have to do your own analysis.