Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/sciencelive/np/RAKStRP-uC-4mPBHdEbpxcHNLVMAEerPzIrStDFONk6Mw/assertion>. }
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- In%20test%20areas%20with%20significantly%20different%20environmental%20conditions%20from%20the%20training%20area%20%28such%20as%20Nairobi%2C%20Kenya%20with%20red%20soil%29%2C%20bi-temporal%20input%20enabled%20the%20model%20to%20consider%20spectral%20changes%20caused%20by%20wildfires%20as%20features%2C%20achieving%20an%20Overall%20Accuracy%20of%200.816%20despite%20minimal%20spectral%20similarity. type AIDA-Sentence assertion.
- In%20test%20areas%20with%20significantly%20different%20environmental%20conditions%20from%20the%20training%20area%20%28such%20as%20Nairobi%2C%20Kenya%20with%20red%20soil%29%2C%20bi-temporal%20input%20enabled%20the%20model%20to%20consider%20spectral%20changes%20caused%20by%20wildfires%20as%20features%2C%20achieving%20an%20Overall%20Accuracy%20of%200.816%20despite%20minimal%20spectral%20similarity. about Q169950 assertion.
- In%20test%20areas%20with%20significantly%20different%20environmental%20conditions%20from%20the%20training%20area%20%28such%20as%20Nairobi%2C%20Kenya%20with%20red%20soil%29%2C%20bi-temporal%20input%20enabled%20the%20model%20to%20consider%20spectral%20changes%20caused%20by%20wildfires%20as%20features%2C%20achieving%20an%20Overall%20Accuracy%20of%200.816%20despite%20minimal%20spectral%20similarity. about Q4302480 assertion.
- In%20test%20areas%20with%20significantly%20different%20environmental%20conditions%20from%20the%20training%20area%20%28such%20as%20Nairobi%2C%20Kenya%20with%20red%20soil%29%2C%20bi-temporal%20input%20enabled%20the%20model%20to%20consider%20spectral%20changes%20caused%20by%20wildfires%20as%20features%2C%20achieving%20an%20Overall%20Accuracy%20of%200.816%20despite%20minimal%20spectral%20similarity. about Q114 assertion.
- In%20test%20areas%20with%20significantly%20different%20environmental%20conditions%20from%20the%20training%20area%20%28such%20as%20Nairobi%2C%20Kenya%20with%20red%20soil%29%2C%20bi-temporal%20input%20enabled%20the%20model%20to%20consider%20spectral%20changes%20caused%20by%20wildfires%20as%20features%2C%20achieving%20an%20Overall%20Accuracy%20of%200.816%20despite%20minimal%20spectral%20similarity. obtainsSupportFrom j.jag.2024.104034 assertion.