Why might GIS that incorporates remote sensing data be useful to someone trying to find a location for an astronomical observatory?(1 point) Responses GIS could put aerial photographs onto a map, showing ground conditions in potential observatory locations. GIS could put aerial photographs onto a map, showing ground conditions in potential observatory locations. GIS could show county-level data about the prevalence of higher education so that the observatory could be better staffed. GIS could show county-level data about the prevalence of higher education so that the observatory could be better staffed. GIS could display satellite data allowing them to determine locations where light pollution and cloud cover are limited. GIS could display satellite data allowing them to determine locations where light pollution and cloud cover are limited. GIS could provide data showing the average temperatures in various locations, allowing them to avoid locations with extreme temperature fluctuations.
GIS that incorporates remote sensing data can be useful to someone trying to find a location for an astronomical observatory because it can:
- Overlay aerial photographs onto a map, showing ground conditions in potential observatory locations. This can provide valuable information about the topography, vegetation, or any potential obstructions that may affect the observatory's visibility.
- Display satellite data, allowing them to determine locations with limited light pollution and cloud cover. This is crucial for astronomers as they need clear and dark skies to observe celestial objects without interference from artificial light or atmospheric conditions.
- Show county-level data about the prevalence of higher education. This can help determine staffing possibilities, as a higher education presence in a particular area may indicate the availability of skilled researchers or technicians who can support the observatory's operations.
- Provide data showing average temperatures in various locations, allowing them to avoid locations with extreme temperature fluctuations. Stable temperature conditions are important for observatories as drastic temperature changes can affect the quality of telescopic observations.
Overall, GIS that incorporates remote sensing data can help identify suitable observatory locations based on ground conditions, light pollution levels, cloud cover, availability of skilled personnel, and temperature stability.