Group Report | Principles Of Remote

Group Presentation

Students will have three weeks of lab sections, which will be guided by the teaching assistants. The main goal of the labs is to help student apply the materials learned in the lectures into practices. Students will learn how to study land use and land cover change using a free on-line spatial analysis platform–the Google Earth Engine (GEE). For the evalution, students will be formed into groups and will be asked to provide a presentation. More details will be provided.

Final project

The main purpose of this final project is to investigate the urban greening of Taipei City through years. The core question is: Does the city get greener since 1987? You are encouraged to use as many remote sensing tools being (or not being!) taught in the class as possible, since we would like to assess how much knowledge you have learned in this class and how much of it you can make it applicable for your project. For each question, if you only provide a basic solution (e.g., something taught in the labs) and do it correctly, you will receive 90% of the full scores. Additional and useful analyses will significantly boost your grades.

One major step is to define the study region. Please show a map of your study region and explain how you define it?

According to your analysis, overall, does the city get greener or not? Please justify your answer in details. In addition, is the trend uni-directional (the 1987 greenness is the lowest [highest] point and the 2021 [or even 2022!] greenness is the highest [lowest] point) or multi-directional (greenness values go up and down)? Again, you need to justify your answer in details. In order to answer this question, you may need to download and process many more images.

Let’s look at the data more closely. We will mainly focus on 1987 and 2022 (or 2021) these two time periods. Please find sizable locations with the significant trends of “greening up” and “greening down” (one for each). Moreover, please tell me the stories and histories about these sites. Additional information such as aerial photos, GIS layers, scientific literature and reports from other sources are strongly encouraged. However, use Landsat imagery as your main data source.