- 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.
- Review your answer to question 11 and discuss the advantages to using remotely sensed Landsat data for geographic analysis.
Accomplishment Statement:
(1)The Misalignment and/or improperly referenced data are commonly occurring when analyzing the geospatial data. However, the most common projection is often best matches with specific area because of the geography of the local context. Also, during the map-making process; we have to make sure the data we are using is compatible, which refer to all the units should be the same and your coordinate and projection systems should be the same across all files as well.
(2) Remotely sensed landsat data is widely used by geographic analysis. It contains various data layers that can be adjusted to highlight different changes in the landscape. And it’s also free for public to access it. By doing so, lots of geographers and environmentalists can enhanced their academic research towards many disciplines related to the environment (climate change, agriculture, forestry, water, land-use and land cover change, natural disaster management, and wildfires) which would have improved government policies and decision-making (USGS, 2012).