Predicting land sensing indicators with geolocalized complex network (2025)
- Authors:
- USP affiliated authors: LOPES, ALNEU DE ANDRADE - ICMC ; NESPOLO, RENAN GUILHERME - ICMC
- Unidade: ICMC
- DOI: 10.1109/LGRS.2025.3587590
- Subjects: SENSORIAMENTO REMOTO; SISTEMA DE INFORMAÇÃO GEOGRÁFICA; REDES COMPLEXAS
- Keywords: Correlation; Gibbs sampling; graph-based; land sensing; regression
- Agências de fomento:
- Language: Inglês
- Sustainable Development Goals (GDS):
11. Sustainable cities and communities
15. Life on land
- Imprenta:
- Publisher place: Piscataway
- Date published: 2025
- Source:
- Título: IEEE Geoscience and Remote Sensing Letters
- ISSN: 1545-598X
- Volume/Número/Paginação/Ano: v. 22, p. 2505205-1-2505205-5, July 2025
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
NESPOLO, Renan Guilherme e VALEJO, Alan Demetrius Baria e LOPES, Alneu de Andrade. Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, v. 22, p. 2505205-1-2505205-5, 2025Tradução . . Disponível em: https://doi.org/10.1109/LGRS.2025.3587590. Acesso em: 10 jan. 2026. -
APA
Nespolo, R. G., Valejo, A. D. B., & Lopes, A. de A. (2025). Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, 22, 2505205-1-2505205-5. doi:10.1109/LGRS.2025.3587590 -
NLM
Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590 -
Vancouver
Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590 - A study of transductive graph-based regression
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Informações sobre o DOI: 10.1109/LGRS.2025.3587590 (Fonte: oaDOI API)
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