Interactive Quiz: NASA Farm Navigators

Test your knowledge on key concepts of sustainable agriculture and the application of NASA's open data for the NASA Farm Navigators challenge.

1

Which NASA satellite-derived index is the most direct indicator of vegetation health and vigor?

2

In a farming simulation based on NASA data, which variable is a farmer-controlled input that directly affects crop success?

3

A key challenge pitfall is using low-resolution data (e.g., 500m per pixel) to advise a smallholder farm. What's the main danger?

4

Which farming practice best aligns with the goal of environmental sustainability and conservation mentioned in the challenge?

5

Which NASA resource provides easily accessible, long-term climate data (temperature, rainfall, solar energy) necessary for farm planning?

6

If a time series of NDVI data for a field shows a sudden drop during the peak growing season, what might that indicate to the farmer?

7

The challenge seeks to bridge the gap between complex NASA science and practical farming applications . What tool is proposed for this bridge?

8

Why is it important to know the depth that a Soil Moisture dataset is reporting (e.g., 0-5 cm vs. 10-20 cm)?

9

What is the best way to prevent players in the game from misinterpreting complex NASA data?

10

Excessive fertilizer runoff from farms primarily contributes to which environmental problem?

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