A geographer uses a drone to map a desert, collecting temperature data every 500 meters along a straight 8.5 km transect. How many data points are recorded, including start and end? - Carbonext
How a Geographer Uses Drones to Map Deserts: Collecting Critical Environmental Data Across a 8.5-Kilometer Transect
How a Geographer Uses Drones to Map Deserts: Collecting Critical Environmental Data Across a 8.5-Kilometer Transect
In the growing field of environmental monitoring and remote sensing, geographers are increasingly turning to drones to gather precise, high-resolution data in challenging terrains like deserts. One compelling example involves a geographer who deployed a drone to map an 8.5-kilometer transect across a arid landscape, systematically measuring temperature at regular intervals every 500 meters—including the starting and ending points.
Why This Data Matters
Mapping temperature across a desert provides vital insights into microclimatic variations, heat distribution, and environmental stressors. Such data supports climate modeling, helps identify wildlife habitats, and informs land-use planning.
Understanding the Context
How the Drone Collected Data
The geographer launched the drone on a straight path spanning 8.5 kilometers (8,500 meters). By programming the drone to record temperature readings every 500 meters, the survey ensures comprehensive coverage without redundancy. Since the starting point counts as the first data point and the end of the transect the last, the calculation is straightforward:
- Total distance: 8,500 meters
- Sampling interval: every 500 meters
- Number of intervals: 8,500 ÷ 500 = 17
- Including both endpoints, the total number of data points = 17 + 1 = 18
Result: 18 Temperature Measurements Recorded
By collecting temperature data at 17 evenly spaced points plus the endpoint, this drone-assisted survey delivers 18 robust data points—enhancing accuracy and spatial detail in desert environmental analysis.
Conclusion
Drones are revolutionizing fieldwork in remote and extreme environments. In this case, the 18-point temperature dataset from an 8.5-km desert transect exemplifies how precise geospatial mapping supports scientific research and environmental conservation. Whether tracking climate change effects or exploring arid ecosystems, these small data snapshots hold big potential.
