Incorporating remote sensing measurement error for forest inventory
Remotely sensed data are increasingly used with model-based inference to estimate forest population characteristics (e.g., areal means). However, at-sensor radiance affected by measurement errors has inherent variations over time, space and spectrum, violating the stationary data assumption in regre...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Taylor & Francis Group
2026-05-01
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| Edice: | Big Earth Data |
| Témata: | |
| On-line přístup: | https://www.tandfonline.com/doi/10.1080/20964471.2026.2660552 |
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