Resultado da Pesquisa
A expressão de busca foi <{dissemination, WEBSCI or dissemination, SCOPUS} and {firstgroup, *SRE-DIPGR-INPE-MCTI-GOV-BR} and year, 2024>.
19 referências encontradas buscando em 17 dentre 17 Arquivos.
Data e hora local de busca: 23/07/2024 17:09.
HITOURI, S.; MERIAME, M.; SK AJIM, A.; QUEVEDO, R. P.; NGUYEN-HUY, T.; QUOC BAO, P.; ELKHRACHY, I.; VARASANO, A. Gully erosion mapping susceptibility in a Mediterranean environment: A hybrid decision-making model. International Soil and Water Conservation Research, v. 12, n. 2, p. 279-297, June 2024. DOI: <10.1016/j.iswcr.2023.09.008>. Disponível em: <http://doi.org/10.1016/j.iswcr.2023.09.008>.

JACON, A. D.; GALVAO, L. S.; MARTINS-NETO, R. P.; CRESPO-PEREMARCH, P.; ARAGÃO, L. E. O. C.; OMETTO, J. P. H. B.; ANDERSON, L. O.; VEDOVATO, L. B.; SILVA-JUNIOR, C. H. L.; LOPES, A. P.; PERIPATO, V.; ASSIS, M.; PEREIRA, F. R. S.; HADDAD, I. R.; ALMEIDA, C. T.; CASSOL, H. L. G.; DALAGNOL, R. Characterizing Canopy Structure Variability in Amazonian Secondary Successions with Full-Waveform Airborne LiDAR. Remote Sensing, v. 16, n. 12, p. 2085, 2024. DOI: <10.3390/rs16122085>. Disponível em: <http://doi.org/10.3390/rs16122085>. Acesso em: 23 jul. 2024.

LEMOS, A.; ANDRADE, L.; FRANKLIN, L.; BEZERRA, D. X.; GHISOLFI, R.; MAITA, R. D. P. C.; NOBRE, P. Ship Route Oil Spill Modeling: A Case Study of the Northeast Brazil Event, 2019. Applied Sciences (Switzerland), v. 14, n. 2, p. e865, Jan. 2024. DOI: <10.3390/app14020865>. Disponível em: <http://doi.org/10.3390/app14020865>.

MALVESTITI, J. A.; CAVALCANTE, R. P.; BACELLAR, P. F. M.; TORNISIELO, V. L.; DANTAS, R. F. Modelling ozone disinfection of secondary effluents in presence of scavengers and metal catalyst: Synergistic effect and regrowth. Journal of Water Process Engineering, v. 57, p. e104650, Jan. 2024. DOI: <10.1016/j.jwpe.2023.104650>. Disponível em: <http://doi.org/10.1016/j.jwpe.2023.104650>.

OLIVEIRA, L. S.; GAMA, F. F.; CREPANI, E.; MURA, J. C.; IBANEZ, D. M. Surface Displacement Evaluation of Canto Do Amaro Onshore Oil Field, Brazil, Using Persistent Scatterer Interferometry (PSI) and Sentinel-1 Data. Remote Sensing, v. 16, n. 9, p. e1498, May 2024. DOI: <10.3390/rs16091498>. Disponível em: <http://doi.org/10.3390/rs16091498>.

PORTELA, C. I.; MARTINS, V. S.; NOVO, E. M. L. M.; PAULINO, R. S.; BARBOSA, C. C. F. Recent advances in geostationary satellites for inland and coastal aquatic systems: scientific research and applications. International Journal of Remote Sensing, v. 45, n. 5, p. 1574-1607, Mar. 2024. DOI: <10.1080/01431161.2024.2314007>. Disponível em: <http://doi.org/10.1080/01431161.2024.2314007>.

RAMOS, R. G.; NERY, M. B.; ADORNO, S. Urban patterns and the geography of street robberies in the city of São Paulo, Brazil. Applied Geography, v. 167, p. e103298, June 2024. DOI: <10.1016/j.apgeog.2024.103298>. Disponível em: <http://doi.org/10.1016/j.apgeog.2024.103298>.

RECH, B.; MOREIRA, R. N.; MELLO, T. A. G.; KLOUCEK, T.; KOMAREK, J. Assessment of daytime and nighttime surface urban heat islands across local climate zones - A case study in Florian<acute accent>opolis, Brazil. Urban Climate, v. 55, p. e101954, May 2024. DOI: <10.1016/j.uclim.2024.101954>. Disponível em: <http://doi.org/10.1016/j.uclim.2024.101954>.

RODIGHERI, G.; FONTANA, D. C.; LUZ, L. B.; DALMAGO, G. A.; SCHIRMBECK, L. W.; SCHIRMBECK, J.; GOUVÊA, J. A.; CUNHA, G. R. TVDI-based water stress coefficient to estimate net primary productivity in soybean areas. Ecological Modelling, v. 490, p. e110636, Apr. 2024. DOI: <10.1016/j.ecolmodel.2024.110636>. Disponível em: <http://doi.org/10.1016/j.ecolmodel.2024.110636>.

RODRIGUES, C. C. F.; SANTINI, M. F.; BRUNSELL, N. A.; PEZZI, L. P. CO2 fluxes under different oceanic and atmospheric conditions in the Southwest Atlantic Ocean. Journal of Marine Systems, v. 2024, p. e103949, Mar. 2024. DOI: <10.1016/j.jmarsys.2023.103949>. Disponível em: <http://doi.org/10.1016/j.jmarsys.2023.103949>.

SANTANA, C. T. C.; SANCHES, I. D.; CALDAS, M. M.; ADAMI, M. A Method for Estimating Soybean Sowing, Beginning Seed, and Harvesting Dates in Brazil Using NDVI-MODIS Data. Remote Sensing, v. 16, n. 14, p. e2520, 2024. DOI: <10.3390/rs16142520>. Disponível em: <http://doi.org/10.3390/rs16142520>.

SILVA, N. R. F.; CHAVES, M. E. D.; LUCIANO, A. C. S.; SANCHES, I. D.; ALMEIDA, C. M.; ADAMI, M. Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review. Remote Sensing, v. 16, n. 5, p. e863, Mar. 2024. DOI: <10.3390/rs16050863>. Disponível em: <http://doi.org/10.3390/rs16050863>.

SILVA, J. G.; CHAGAS, C. A.; SOUZA, T. G. S.; ARAÚJO, M. C.; ARAÚJO, L. C. A.; SANTOS, A. M. M.; SÁ, R. A. Q. C.; ALVES, R. B. O.; RODRIGUES, R. H. A.; SILVA, H. P.; MALAFAIA, G.; BEZERRA, R. S.; OLIVEIRA, M. B. M. Using structural equation modeling to assess the genotoxic and mutagenic effects of heavy metal contamination in the freshwater ecosystems: A study involving Oreochromis niloticus in an urban river. Science of the Total Environment, v. 913, p. e169529, Feb. 2024. DOI: <10.1016/j.scitotenv.2023.169529>. Disponível em: <http://doi.org/10.1016/j.scitotenv.2023.169529>.

SILVA, A. G. P.; GALVAO, L. S.; FERREIRA JÚNIOR, L. G.; TELES, N. M.; MESQUITA, V. V.; HADDAD, I. R. Discrimination of Degraded Pastures in the Brazilian Cerrado Using the PlanetScope SuperDove Satellite Constellation. Remote Sensing, v. 16, n. 13, p. 2256, 2024. DOI: <10.3390/rs16132256>. Disponível em: <http://doi.org/10.3390/rs16132256>.

SILVA, D. C. V. R.; SILVA, G. C.; SIQUEIRA-SILVA, D. H.; BAZZAN, T.; SILVA, H. T. L.; SILVA, M. C. R.; BÉRGAMO, A. L.; FREITAS, J. V. R.; PORFÍRIO, A. E. P.; PELEGRINI, G. H.; ARAÚJO, C. V. M. A multi-evidence approach in an Amazonian river based on land use, water quality, histopathological effects and habitat selection behavior in fish. Chemosphere, v. 361, p. e142492, Aug. 2024. DOI: <10.1016/j.chemosphere.2024.142492>. Disponível em: <http://doi.org/10.1016/j.chemosphere.2024.142492>.

SOUSA JÚNIOR, M. F.; ULIANA, E. M.; AIRES, R. V. U.; RÁPALO, L. M. C.; SILVA, D. D.; MOREIRA, M. C.; LISBOA, L.; RONDON, D. S. Streamflow prediction based on machine learning models and rainfall estimated by remote sensing in the Brazilian Savanna and Amazon biomes transition. Modeling Earth Systems and Environment, v. 10, n. 1, p. 1191-1202, Feb. 2024. DOI: <10.1007/s40808-023-01837-9>. Disponível em: <http://doi.org/10.1007/s40808-023-01837-9>.

ULIANA, E. M.; AIRES, U. R. V.; SOUSA JÚNIOR, M. F.; SILVA, D. D.; MOREIRA, M. C.; CRUZ, I. F.; ARAÚJO, H. B. Estimated evaporation of lakes by climate reanalysis data and artificial neural networks. Journal of South American Earth Sciences, v. 136, p. e104811, Apr. 2024. DOI: <10.1016/j.jsames.2024.104811>. Disponível em: <http://doi.org/10.1016/j.jsames.2024.104811>.

VELASTEGUI-MONTOYA, A.; GARCÍA-ROMERO, J. A.; CHUIZACA-ESPINOZA, I. A.; QUEVEDO, R. P.; SANTANA-CUNHA, C.; OCHOA-BRITO, J. I.; ARIAS-HIDALGO, M. Assessing regressive erosion effects: Unveiling riverside land use land cover changes post hydroelectric project construction. Environmental Challenges, v. 15, p. e100882, Apr. 2024. DOI: <10.1016/j.envc.2024.100882>. Disponível em: <http://doi.org/10.1016/j.envc.2024.100882>.

WINSTANLEY, P.; DALAGNOL, R.; MENDIRATTA, S.; BRAGA, D. A.; GALVAO, L. S.; BISPO, P. C. Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins. Remote Sensing, v. 16, n. 13, p. 2319, 2024. DOI: <10.3390/rs16132319>. Disponível em: <http://doi.org/10.3390/rs16132319>.