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
Summer 2025 - I took this class online to fulfill a requirement for the GIS minor, and my experience was great. The course focuses heavily on Google Earth Engine, along with remote sensing concepts. It builds on GEOG 182A but shifts more into coding and applying concepts like NDVI, image classification, and environmental analysis through weekly labs. Bo is a genuinely great professor. He really cares about whether students are actually learning, not just finishing assignments. He’s incredibly approachable, responds to emails quickly, and never makes you feel dumb for asking questions, especially about coding. Even in an online format, it was clear that he valued student participation and contributions during discussion posts. He also valued class discussion and made it clear that student contributions mattered, which made the class feel engaging instead of intimidating. He was the most approachable Professor for all of my GIS classes. The structure is recorded lectures for concepts, then coding labs to apply them. I appreciated the projects as they are a better reflection of what you can actually do in GIS and remote sensing. He often provides starter code and guidance. Overall, it’s challenging if you’re new to coding, but very manageable with effort. If you’re doing the GIS minor or interested in remote sensing, this class is absolutely worth taking.
Summer 2025 - I took this class online to fulfill a requirement for the GIS minor, and my experience was great. The course focuses heavily on Google Earth Engine, along with remote sensing concepts. It builds on GEOG 182A but shifts more into coding and applying concepts like NDVI, image classification, and environmental analysis through weekly labs. Bo is a genuinely great professor. He really cares about whether students are actually learning, not just finishing assignments. He’s incredibly approachable, responds to emails quickly, and never makes you feel dumb for asking questions, especially about coding. Even in an online format, it was clear that he valued student participation and contributions during discussion posts. He also valued class discussion and made it clear that student contributions mattered, which made the class feel engaging instead of intimidating. He was the most approachable Professor for all of my GIS classes. The structure is recorded lectures for concepts, then coding labs to apply them. I appreciated the projects as they are a better reflection of what you can actually do in GIS and remote sensing. He often provides starter code and guidance. Overall, it’s challenging if you’re new to coding, but very manageable with effort. If you’re doing the GIS minor or interested in remote sensing, this class is absolutely worth taking.
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