Lab 2: Using Remotely-sensed Landsat Data for Geographic Analysis
Remotely-sensed Landsat allows users to collect geospatial data from a distance, is programmed for capturing data at specific time intervals, and it allows the user to represent this data in a way that compliments and clearly relays guiding information for use of the data. Such characteristics of an information system are important when conducting geographic analyses. First, the automated collection of data makes it easier for geographers to recognize trends (temporal data). Second, data coverage from small to large scale areas aids in the identification of patterns (spatial data). Third, geographers can use Landsat to organize these data to help review patterns and/or trends across space and time.