Assessing the Accuracy of Remotely Sensed Data¶
Congalton, R. G., & Green, K. (2019). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. CRC Press.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Ground Truth
- Cartography and geospatial science: ground truth is the term of art for in-field measurements that calibrate or validate remote-sensing data, with ground crews physically visiting sample points to check classifications.
This sourceStandard reference on ground-truth field sampling design and the sampling biases (e.g., road accessibility) that skew remote-sensing accuracy assessment.
- Cartography and geospatial science: ground truth is the term of art for in-field measurements that calibrate or validate remote-sensing data, with ground crews physically visiting sample points to check classifications.
Verification¶
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Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
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Registry ID ref:348559e688f8 · see in the full table