GEOG 182B
Remote Sensing: Digital Image Processing and Analysis
Description: (Formerly numbered 172.) Lecture, three hours; laboratory, one hour. Enforced requisite: course 182A. Digital processing methods for manipulating and analyzing image data. Topics include statistical description, geometric and radiometric correction, classification, image enhancement and filtering, and change detection schemes. Reinforcement of procedures presented in lecture with laboratory exercises and student project. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Spring 2024 - Professor Xue is super sweet, but his lecture can be super technical, so it might be challenging not to fall asleep. The content discussed before the midterm is very detailed and technical, possibly one of the hardest GIS electives I have been in. The primary grade for this class is the weekly lab assignments, which can take a lot of time for the writing portion. I always got points deducted for the most minuscule elements each week, so it is better to talk to your TA regarding your work and expectations. Midterms are challenging but not too hard to do if you study well. I did not enjoy the first half of the class much, but I found the latter half to be very useful, especially if you want to continue remote sensing as a career.
Spring 2024 - Professor Xue is super sweet, but his lecture can be super technical, so it might be challenging not to fall asleep. The content discussed before the midterm is very detailed and technical, possibly one of the hardest GIS electives I have been in. The primary grade for this class is the weekly lab assignments, which can take a lot of time for the writing portion. I always got points deducted for the most minuscule elements each week, so it is better to talk to your TA regarding your work and expectations. Midterms are challenging but not too hard to do if you study well. I did not enjoy the first half of the class much, but I found the latter half to be very useful, especially if you want to continue remote sensing as a career.
Most Helpful Review
Fall 2024 - I took this class to fulfill a requirement for the GIS&T minor. This is a class that mainly utilizes Google Earth Engine (GEE) which uses JavaScript. GEOG 182B was my third exposure to coding at UCLA and first time using JavaScript. It definitely expands on the skills and topics learned in GEOG 182A but with different software. Bo is a great professor, he's really encouraging and helpful! Super approachable. He is REALLY good at responding to emails and is always happy to help with any coding problems or confusions. His lecture presentations concentrate on the concepts of remote sensing while his weekly assignments are coding labs that apply the concepts learned in lecture. He doesn't believe in tests which was great for me because I always felt that my abilities in GIS and remote sensing were better demonstrated via projects rather than assessments :") Bo often provides some of his own code to help with the assignments. He is also quite generous with extra credit! He records his lectures and posts them on BruinLearn, however, I found that going to class in-person was a lot more helpful as he often prioritizes the people who show up. Going in-person also allows you to ask him for help which I would strongly recommend if your coding isn't the strongest. He wants to help you! Overall, this is a very interesting class and Bo is an awesome professor to have (especially as someone who wasn't confident with coding going into it)!
Fall 2024 - I took this class to fulfill a requirement for the GIS&T minor. This is a class that mainly utilizes Google Earth Engine (GEE) which uses JavaScript. GEOG 182B was my third exposure to coding at UCLA and first time using JavaScript. It definitely expands on the skills and topics learned in GEOG 182A but with different software. Bo is a great professor, he's really encouraging and helpful! Super approachable. He is REALLY good at responding to emails and is always happy to help with any coding problems or confusions. His lecture presentations concentrate on the concepts of remote sensing while his weekly assignments are coding labs that apply the concepts learned in lecture. He doesn't believe in tests which was great for me because I always felt that my abilities in GIS and remote sensing were better demonstrated via projects rather than assessments :") Bo often provides some of his own code to help with the assignments. He is also quite generous with extra credit! He records his lectures and posts them on BruinLearn, however, I found that going to class in-person was a lot more helpful as he often prioritizes the people who show up. Going in-person also allows you to ask him for help which I would strongly recommend if your coding isn't the strongest. He wants to help you! Overall, this is a very interesting class and Bo is an awesome professor to have (especially as someone who wasn't confident with coding going into it)!
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