Every piece of data that you download, search for, or acquire has differing attributes and qualities. One of these qualities is projection. The projection of a file can differ due to the shape of the Earth– the Earth is a geoid, or an ‘irregular sphere’, and the means by which a portion of the Earth is represented on a two-dimensional space garners distortion of some kind. Because data can be shown in many different kinds of projections, it is necessary to ensure that it is in the same kind of projection in order to make them align.
Another aspect of data, aside from its projection, is how it was retrieved, cached, or recorded. Any kind of mass wasting events, such as slides, flows, falls, and more could create a landscape wherein landsat data could be useful to display the change that has occurred over a short period of time. In addition to mass wasting, landsat images can be used to analyze glacier retreat, urban city growth, wildfire severity, and more. Questions to research include how much time has passed between the landsat images when compiled together, how fast the process being analyzed takes to see significant change, etc. Regarding the requirements for time of year or season, cloud cover may affect Landsat data, as well as any kind of precipitation that might be occurring.
Accomplishment Statement
Used analysis skills to determine different projections, then change projections to align to one kind.
