https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/Head https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/assertion https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/provenance https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/pubinfo https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/assertion https://doi.org/10.1117/12.3074505 http://purl.org/dc/terms/creator https://orcid.org/0000-0001-8884-9743 https://doi.org/10.1117/12.3074505 http://purl.org/dc/terms/creator https://orcid.org/0009-0001-1115-9741 https://doi.org/10.1117/12.3074505 http://purl.org/dc/terms/creator https://orcid.org/0009-0008-3666-303X https://doi.org/10.1117/12.3074505 http://purl.org/dc/terms/publisher https://ror.org/045k5vt03 https://doi.org/10.1117/12.3074505 http://purl.org/dc/terms/subject http://purl.obolibrary.org/obo/NCIT_C19349 https://doi.org/10.1117/12.3074505 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fair/ff/terms/article https://doi.org/10.1117/12.3074505 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://doi.org/10.1117/12.3074505 http://www.w3.org/2000/01/rdf-schema#comment Prescribed burns help reduce wildfire risk, yet assessing post-burn vegetation recovery remains difficult due to the high dimensionality and labeling cost of hyperspectral imagery (HSI). We propose BurnSSL-DRL, a label-efficient framework that couples self-supervised learning (SSL) with deep reinforcement learning (DRL) for spectral band selection and vegetation classification. The DRL agent prioritized low-wavelength VNIR regions linked to chlorophyll degradation and soil exposure, reducing dimensionality to 30 bands while retaining key information. When combined with a 3D spectral–spatial CNN and class-balancing strategies (SMOTE + weighted loss), the BurnSSL-DRL achieved a macro-F1 ≈ 0.52—about 4–6% higher than PCA and mRMR baselines—and improved minority-class F1 (Grass 0.02 → 0.30, Soil 0.40 → 0.65). These results demonstrate that BurnSSL-DRL enables compact, interpretable, and accurate post-burn vegetation mapping, supporting scalable and near-real-time ecological monitoring from UAV platforms. https://doi.org/10.1117/12.3074505 http://www.w3.org/2000/01/rdf-schema#label Hyperspectral band selection via self-supervised and reinforcement learning for prescribed burn impact analysis https://doi.org/10.1117/12.3074505 https://schema.org/funder https://ror.org/021nxhr62 https://doi.org/10.1117/12.3074505 https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE https://doi.org/10.1117/12.3074505 https://www.w3.org/ns/dcat#contactPoint bradley.whitaker1@montana.edu https://doi.org/10.1117/12.3074505 https://www.w3.org/ns/dcat#endDate 15 Dec 2025 https://doi.org/10.1117/12.3074505 https://www.w3.org/ns/dcat#startDate 2024 https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/provenance https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0009-0008-8411-2742 https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/pubinfo https://orcid.org/0009-0008-8411-2742 http://xmlns.com/foaf/0.1/name Emily Regalado https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://purl.org/dc/terms/created 2026-06-15T19:19:57.966Z https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://purl.org/dc/terms/creator https://orcid.org/0009-0008-8411-2742 https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://purl.org/nanopub/x/introduces https://doi.org/10.1117/12.3074505 https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE http://purl.org/nanopub/x/wasCreatedAt https://nanodash.knowledgepixels.com/ https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RACJ58Gvyn91LqCKIO9zu1eijDQIeEff28iyDrJgjSJF8 https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate https://w3id.org/np/RArM5GTwgxg9qslGX-XiQ-KTTUwdoM0KB1YqmT4GqTizA https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/sig http://purl.org/nanopub/x/hasPublicKey MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxzr6UBGMW6c8tegz0babaledWUEQ0PLDE4tp7Iinbe2DZtAtY5JUptKYuStWDZx+QER4808P8dejNWRnBDzgthYJm/AyNSXflHSJhz2+NC+h7RylOLxbwLEQocmyKKiYxa2gT85m6ajVL2M6TnfG67nnK+K2f7iCGL6wYXRITD1q+7+5SWqBdDXIV921W4IKWaD2GJk+NRBoOqQhbsrk8Tn5XsNd7DMYVHk47oMDGbeBnrOIoRPsbBgAcoCsxxhiB9yN6Lf8EUbnlXVEDzJuZk048L1BDZL+6nkA8btTQGP2ijUFWA7rTrod3LjUDQWLZS95njjl867dtmv/znYkzwIDAQAB https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/sig http://purl.org/nanopub/x/hasSignature ShNJ5c2HO2lS8FaJ/xVzjA4o/cuz/DTp2MtZ/L0XumqSbEwcm1wqFP4Hqx5Qt84RX3mH5tujVGq33NnMASmNP3XcSe8xmQG7Nhrf5A9y52X4NOcmg8yJ6gJWLfVRFNjSfCN1P1z0Z9qZPTaVdTzUrExgF/AkRuFIuryR/tPoFo/f6+6iEvptwbRFitLVHq/JXEpFFTcr+R62Fgt/U1JQ/UWgHT9DeBzkD7g6XNbbgpqNbQIvnInjzEXgB3lU9JTrCDPvAqpHhGOfNPu2N99K1JvDSfojqxUKSaKaDm3FnPG4pWT2LrvfbqhwbXbB8kmouZtkNL6Ar1dltDUNbdPvpQ== https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE https://w3id.org/np/RAqbg_aPkHUjjloUKzJIxeMSpYQCUMHEm-loB4FssP1JE/sig http://purl.org/nanopub/x/signedBy https://orcid.org/0009-0008-8411-2742