Used the ‘projection – on –fly’ and ‘project’ tools to mend incorrectly referenced or misaligned spatial data.
Review your answers to question 2 and 5 to answer the following: for general audience, describe how to fix misaligned and improperly referenced spatial data, including taking into consideration project properties.
In order to fix misaligned spatial data in for spatial analysis to take place, the misaligned layers must be re-projected into the same coordinate system. In order words, they must be re-created to have the same underlying foundation. Once this correction takes place, the map can be better and more accurately analyzed and displayed, and errors can be avoided.
Review your answer to question 11 and discuss the advantages to using remotely sensed Landsat data for geographic analysis.
In terms of geographical and spatial analysis, the reason that remotely sensed data (ex. Landsat) is preferring is because this type of data gives the map a unique sense of fluidity. Because Landsat essentially takes images of the same are many times, and these images are then used as overlapping layers to look at changes on the land, the problem of incorrect or mixing pixels is not as predominant, as with non-remotely sensed data (ie. Raster & Vector). Hence, fewer errors take place, there is greater accuracy, and an improved system of reading and display results.
