Resultado da Pesquisa
A expressão de busca foi <{dissemination, WEBSCI or dissemination, SCOPUS} and {firstgroup, DIPGR-COEPE-INPE-MCTI-GOV-BR or firstgroup, AST-CEA-DIPGR-INPE-MCTI-GOV-BR or firstgroup, GES-CEA-DIPGR-INPE-MCTI-GOV-BR or firstgroup, GESAST-CEA-DIPGR-INPE-MCTI-GOV-BR or firstgroup, GESATM-CEA-DIPGR-INPE-MCTI-GOV-BR or firstgroup, MET-MET-DIPGR-INPE-MCTI-GOV-BR or firstgroup, CST-CST-DIPGR-INPE-MCTI-GOV-BR or firstgroup, CAP-COMP-DIPGR-INPE-MCTI-GOV-BR or firstgroup, CMS-ETES-DIPGR-INPE-MCTI-GOV-BR or firstgroup, PCP-ETES-DIPGR-INPE-MCTI-GOV-BR or firstgroup, CMC-ETES-DIPGR-INPE-MCTI-GOV-BR or firstgroup, CSE-ETES-DIPGR-INPE-MCTI-GOV-BR or firstgroup, SER-SRE-DIPGR-INPE-MCTI-GOV-BR} and year, 2023>.
92 referências encontradas buscando em 17 dentre 17 Arquivos.
Data e hora local de busca: 24/08/2023 02:18.
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ADORNO, B. V.; KÖRTING, T. S.; AMARAL, S. Contribution of time-series data cubes to classify urban vegetation types by remote sensing. Urban Forestry and Urban Greening, v. 79, p. e127817, Jan. 2023. DOI: <10.1016/j.ufug.2022.127817>. Disponível em: <http://doi.org/10.1016/j.ufug.2022.127817>.

AL-THUWAYNEE, O. F.; MELILLO, M.; GARIANO, S. L.; PARK, H. J.; KIM, S.-W.; LOMBARDO, L.; HADER, P.; MOHAJANE, M.; QUEVEDO, R. P.; CATANI, F.; AYDDA, A. DEWS: a QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds. Environmental Modelling & Software, v. 162, p. e105657, Apr. 2023. DOI: <10.1016/j.envsoft.2023.105657>. Disponível em: <http://doi.org/10.1016/j.envsoft.2023.105657>.

ARAÚJO, J. A.; GALVÃO, L. S.; DALAGNOL, R. Sensitivity of hyperspectral vegetation indices to rainfall seasonality in the Brazilian savannahs: an analysis using PRISMA data. Remote Sensing Letters, v. 14, n. 3, p. 277-287, mar. 2023. DOI: <10.1080/2150704X.2023.2189031>. Disponível em: <http://doi.org/10.1080/2150704X.2023.2189031>.

ARSEGO, V. B. M.; GONÇALVES, L. G. G.; ARSEGO, D. A.; FIGUEROA, S. N.; KUBOTA, P. Y.; SOUZA, C. R. Impact of Soil Moisture in the Monsoon Region of South America during Transition Season. Atmosphere, v. 14, n. 5, p. e804, Apr. 2023. DOI: <10.3390/atmos14050804>. Disponível em: <http://doi.org/10.3390/atmos14050804>.

BARBOSA, I. M.; FERREIRA, M. G. V.; CHAGAS JÚNIOR, M. F. The Application of Machine learning to Amazonia-1 satellite power subsystem telemetry prediction. Journal of Physics: Conference Series, v. 2512, n. 1, p. e023023, 2023. DOI: <10.1088/1742-6596/2512/1/012012>. Disponível em: <http://doi.org/10.1088/1742-6596/2512/1/012012>.

BENEDETTI, J. P. V.; RIFFEL, R. A.; RICCI, T.; TREVISAN, M.; RIFFEL, R. A.; PASTORIZA, M.; DAHMER-HAHN, L. G.; RUSCHEL-DUTRA, D.; RODRÍGUEZ-ARDILA, A.; HERNANDEZ-JIMENEZ, J. A.; STEINER, J. Digging deeper into NGC 6868 I: Stellar population. Monthly Notices of the Royal Astronomical Society, v. 522, n. 2, p. 2570-2583, Apr. 2023. DOI: <10.1093/mnras/stad1148>. Disponível em: <http://doi.org/10.1093/mnras/stad1148>.

BEZERRA, D. X.; LORENZZETTI, J. A.; PAES, R. L. Marine Environmental Impact on CFAR Ship Detection as Measured by Wave Age in SAR Images. Remote Sensing, v. 15, n. 3, p. e3441, July 2023. DOI: <10.3390/rs15133441>. Disponível em: <http://doi.org/10.3390/rs15133441>.

BHAGYA, S. B.; SUMI, A. S.; BALAJI, S.; DANUMAH, J. H.; COSTACHE, R.; RAJANEESH, A.; GOKUL, A.; CHANDRASENAN, C. P.; QUEVEDO, R. P.; JOHNY, A.; SAJINKUMAR, K. S.; SAHA, S.; AJIN, R. S.; MAMMEN, P. C.; ABDELRAHMAN, K.; FNAIS, M. S.; ABIOUI, M. Landslide susceptibility assessment of a part of the western Ghats (India) employing the AHP and F-AHP models and comparison with existing susceptibility maps. Land, v. 12, n. 2, p. e468, Feb. 2023. DOI: <10.3390/land12020468>. Disponível em: <http://doi.org/10.3390/land12020468>.

BORGES, H. A.; PIGOZZO, C.; HEPP, P.; FERREIRA, L. O. O. B.; BENETTI, M. Testing the growth rate in homogeneous and inhomogeneous interacting vacuum models. Journal of Cosmology and Astroparticle Physics, v. 2023, n. 6, p. e009, June 2023. DOI: <10.1088/1475-7516/2023/06/009>. Disponível em: <http://doi.org/10.1088/1475-7516/2023/06/009>.

BRAGION, G. R.; DAL’ASTA, A. P.; AMARAL, S. Bringing to Light the Potential of Angular Nighttime Composites for Monitoring Human Activities in the Brazilian Legal Amazon. Remote Sensing, v. 15, n. 14, p. e3515, July 2023. DOI: <10.3390/rs15143515>. Disponível em: <http://doi.org/10.3390/rs15143515>.

BRESCIANI, C.; BOIASKI, N. T.; FERRAZ, S. E. T.; ROSSO, F. V.; PORTALANZA, D.; SOUZA, D. C.; KUBOTA, P. Y.; HERDIES, D. L. Brazilian annual precipitation analysis simulated by the Brazilian Atmospheric Global Model. Water (Switzerland), v. 15, n. 2, p. e256, Jan. 2023. DOI: <10.3390/w15020256>. Disponível em: <http://doi.org/10.3390/w15020256>.

BRILENKOV, M.; FORNAZIER, K. S. F.; HERGT, L. T.; HOERNING, G. A.; MARINS, A.; MUROKOSHI, T.; RAHMAN, F.; STUTZER, N. O.; ZHOU, Y.; ABDALLA, F. B.; ANDERSEN, K. J.; AURLIEN, R.; BANERJI, R.; BASYROV, A.; BATTISTA, A.; BERSANELLI, M.; BERTOCCO, S.; BOLLANOS, S.; COLOMBO, L. P. L.; ERIKSEN, H. K.; ESKILT, J. R.; FOSS, M. K.; FRANCESCHET, C.; FUSKELAND, U.; GALEOTTA, S.; GALLOWAY, M.; GERAKAKIS, S.; GJERLØW, E.; HENSLEY, B.; HERMAN, D.; HOANG, T. D.; IERONYMAKI, M.; IHLE, H. T.; JEWELL, J. B.; KARAKCI, A.; KEIHÄNEN, E.; KESKITALO, R.; MAGGIO, G.; D. , M.; MARIS, M.; PARADISO, S.; PARTRIDGE, B.; REINECKE, M.; SUUR-USKI, A. S.; SVALHEIM, T. L.; TAVAGNACCO, D.; THOMMESEN, H.; TOMASI, M.; WATTS, D. J.; WEHUS, I. K.; ZACCHEI, A. B EYOND P LANCK: IV. Simulations and validation. Astronomy and Astrophysics, v. 675, p. A4, July 2023. DOI: <10.1051/0004-6361/202244958>. Disponível em: <http://doi.org/10.1051/0004-6361/202244958>.

BRUZ, L. S. M.; SANTOS, A.; DEMETRIO, W. C.; PRIMO, D. F.; FELICIANO, L. P.; FERNANDES, C. H.; BARTZ, M. L. C.; BERNARDI, A. C. C.; PEZZOPANE, J. R. M.; BROWN, G. G. Earthworms in various agricultural and forest ecosystems in São Carlos-SP, Brazil. Zootaxa, v. 5255, n. 1, p. 324-335, Mar. 2023. DOI: <10.11646/zootaxa.5255.1.26>. Disponível em: <http://doi.org/10.11646/zootaxa.5255.1.26>.

CARVALHO, D. A.; AMARAL, S.; ALVES, L. M. Climate change adaptation frameworks in fishing communities: A systematic review. Ocean and Coastal Management, v. 243, p. e106754, Sept. 2023. DOI: <10.1016/j.ocecoaman.2023.106754>. Disponível em: <http://doi.org/10.1016/j.ocecoaman.2023.106754>.

CARVALHO, J. P. S.; SANTOS, J. C.; LIMA, J. S.; BREJÃO, L. F.; PRADO, A. F. B. A. A Single-Averaged Model for the Solar Radiation Pressure Applied to Space Debris Mitigation Using a Solar Sail. Symmetry, v. 15, n. 5, p. e1107, May 2023. DOI: <10.3390/sym15051107>. Disponível em: <http://doi.org/10.3390/sym15051107>.

CASSARA, L. S.; LOPES, M. M.; DOMINGUES, M. O.; MENDES, O.; DEITERDING, R. On thermodynamic consistency of generalised Lagrange multiplier magnetohydrodynamic solvers. Computational and Applied Mathematics, v. 42, p. e223, 2023. DOI: <10.1007/s40314-023-02338-2>. Disponível em: <http://doi.org/10.1007/s40314-023-02338-2>.

CERQUEIRA CAMPOS, F. C.; RODRÍGUEZ-ARDILA, A.; PANDA, S.; RIFFEL, R.; DAHMER-HAHN, L. G.; MARINELLO, M. Coronal line forest AGN-II. Analysis of the spectral energy distribution. Monthly Notices of the Royal Astronomical Society, v. 524, n. 1, p. 542-554, July 2023. DOI: <10.1093/mnras/stad1908>. Disponível em: <http://doi.org/10.1093/mnras/stad1908>.

CESAR, G. M.; OLIVEIRA, N. R.; OLIVEIRA, A. L.; VALÉRIO, A. M.; CHUQUI, M. G.; POMPEU, M.; GAETA, S. A.; FROUIN, R.; KAMPEL, M. Bio-optical properties of South Brazil Bight coastal waters and implications for satellite chlorophyll-a concentration retrieval. International Journal of Remote Sensing, v. 44, n. 7, p. 2428-2457, 2023. DOI: <10.1080/01431161.2023.2201385>. Disponível em: <http://doi.org/10.1080/01431161.2023.2201385>.

CHEN, S. S.; RESENDE, L. C. A.; DENARDINI, C. M.; CHAGAS, R. A. J.; SILVA, L. A.; MARCHEZI, J. P.; MORO, J.; NOGUEIRA, P. A. B.; SANTOS, A. M.; JAUER, P. R.; CARMO, C. S.; PICANÇO, G. A. S.; SILVA, R. P. The 14 December 2020 total solar eclipse effects on geomagnetic field variations and plasma density over South America. Journal of Geophysical Research: Space Physics, v. 128, n. 2, p. e2022JA030775, Feb. 2023. DOI: <10.1029/2022JA030775>. Disponível em: <http://doi.org/10.1029/2022JA030775>.

DAHMER-HANN, L. G.; RODRIGUEZ-ARDILA, A.; BIANCHIM, M.; RIFFEL, R. A.; RIFFEL, R.; STORCHI-BERMANN, T.; HAO, L. A decade of near-infrared variability in NGC4388: Insights into the AGN structure. Monthly Notices of the Royal Astronomical Society, v. 523, n. 4, p. 5502-5509, Aug. 2023. DOI: <10.1093/mnras/stad1774>. Disponível em: <http://doi.org/10.1093/mnras/stad1774>.

DALLAMUTA, J. L.; PERONDI, L. F.; OLIVEIRA, M. E. R. Space missions in South America: profile and evolutionary perspective of their development. Acta Astronautica, v. 206, p. 9-17, May 2023. DOI: <10.1016/j.actaastro.2023.02.008>. Disponível em: <http://doi.org/10.1016/j.actaastro.2023.02.008>.

DEMETRIO, W.; BROWN, G.; PUPIN, B.; NOVO, R.; DUDAS, R.; BARETTA, D.; RÖMBKE, J.; BARTZ, M.; BORMA, L. S. Are exotic earthworms threatening soil biodiversity in the Brazilian Atlantic Forest?. Applied Soil Ecology, v. 182, p. e104693, Feb. 2023. DOI: <10.1016/j.apsoil.2022.104693>. Disponível em: <http://doi.org/10.1016/j.apsoil.2022.104693>.

DEMETRIO, W. C.; FONSECA, P. M.; DUDAS, R.; ZAGATTO, M. G. R.; FEIJOO, A.; BROWN, G. G. Earthworm species in native and planted forests in Brazil. Zootaxa, v. 5255, n. 1, p. 304-323, Mar. 2023. DOI: <10.11646/zootaxa.5255.1.25>. Disponível em: <http://doi.org/10.11646/zootaxa.5255.1.25>.

DIAS, R. A.; CARDOSO, C. F.; NONO, D. A.; SILVA JÚNIOR, J. A.; ACUNA, J.; BALTATU, O. C.; CAMPOS, L. A. Quantitative cardiac autonomic outcomes of hydrotherapy in women during the first stage of labor. Frontiers in Medicine, v. 9, p. e987363, Jan. 2023. DOI: <10.3389/fmed.2022.987636>. Disponível em: <http://doi.org/10.3389/fmed.2022.987636>.

DIAS, J. M.; MONTANARI, A. N.; MACAU, E. E. N. Power-grid vulnerability and its relation with network structure. Chaos, v. 33, n. 3, p. e033122, Mar. 2023. DOI: <10.1063/5.0137919>. Disponível em: <http://doi.org/10.1063/5.0137919>.

DIAS, K. G. C.; VALERIANO, M. M. Delineation of terrain features in Demini?s Watershed - Setentrional Amazonia using regional geomorphometry. Revista Brasileira de Geomorfologia, v. 24, n. 2, p. e2265-21, 2023. DOI: <10.20502/rbg.v24i2.2265>. Disponível em: <http://doi.org/10.20502/rbg.v24i2.2265>.

DINIZ, J. M. F. S.; GAMA, F. F.; REIS, A. A.; OLIVEIRA, C. G.; MARQUES, E. R. G. Estimating stem volume of Eucalyptus sp. and Pinus sp. plantations in Brazil, using Sentinel-1B and ALOS-2/PALSAR-2 data. Journal of Applied Remote Sensing, v. 17, n. 1, p. e014513, Jan. 2023. DOI: <10.1117/1.JRS.17.014513>. Disponível em: <http://doi.org/10.1117/1.JRS.17.014513>.

ESCANIO, C. A.; ANTUNES, E. F.; TRAVA-AIROLDI, V. J.; CORAT, E. J. Influence of sodium and calcium contaminant in the growth of carbon nanotube on rayon-based carbon fibers. Materials Science and Engineering B: Advanced Functional Solid-State Materials, v. 287, p. e116089, Jan. 2023. DOI: <10.1016/j.mseb.2022.116089>. Disponível em: <http://doi.org/10.1016/j.mseb.2022.116089>.

ESCOBAR-SILVA, E. V.; ALMEIDA, C. M.; SILVA, G. B. L.; BURSTEINAS, I.; ROCHA FILHO, K. L.; OLIVEIRA, C. G.; FAGUNDES, M. R.; PAIVA, R. C. D. Assessing the Extent of Flood-Prone Areas in a South-American Megacity Using Different High Resolution DTMs. Water (Switzerland), v. 15, n. 6, p. e1127, Mar. 2023. DOI: <10.3390/w15061127>. Disponível em: <http://doi.org/10.3390/w15061127>.

ESPINOSA SARMIENTO, K. V.; PADILHA, A. L.; ALVES, L. R.; SCHULTZ, A.; KELBERT, A. Estimating geomagnetically induced currents in southern Brazil using 3-D Earth resistivity model. Space Weather, v. 21, n. 4, p. e2022SW003166, Apr. 2023. DOI: <10.1029/2022SW003166>. Disponível em: <http://doi.org/10.1029/2022SW003166>.

FERREIRA, I. J. M.; CAMPANHARO, W. A.; BARBOSA, M. L. F.; SILVA, S. S.; SELAYA, G.; ARAGÃO, L. E. O. C.; ANDERSON, L. O. Assessment of fire hazard in Southwestern Amazon. Frontiers in Forests and Global Change, v. 6, p. e1107417, Mar. 2023. DOI: <10.3389/ffgc.2023.1107417>. Disponível em: <http://doi.org/10.3389/ffgc.2023.1107417>.

FERREIRA, I. J. M.; CAMPANHARO, W. A.; FONSECA, M. G.; ESCADA, M. I. S.; NASCIMENTO, M. T.; VILLELA, D. M.; BRANCALION, P.; MAGNAGO, L. F. S.; ANDERSON, L. O.; NAGY, L.; ARAGÃO, L. E. O. C. Potential aboveground biomass increase in Brazilian Atlantic Forest fragments with climate change. Global Change Biology, v. 29, n. 11, p. 3098-3113, 2023. DOI: <10.1111/gcb.16670>. Disponível em: <http://doi.org/10.1111/gcb.16670>.

FIALHO, W. M. B.; CARVALHO, L. M. V.; GAN, M. A.; VEIGA, S. F. Mechanisms controlling persistent South Atlantic Convergence Zone events on intraseasonal timescales. Theoretical and Applied Climatology, v. 152, p. 75-96, Jan. 2023. DOI: <10.1007/s00704-023-04375-7>. Disponível em: <http://doi.org/10.1007/s00704-023-04375-7>.

FONSECA-FARIA, M. A.; RODRÍGUEZ-ARDILA, A.; CONTINI, M.; DAHMER-HAHN, L. G.; MORGANTI, R. Physical conditions and extension of the coronal line region in IC 5063. Monthly Notices of the Royal Astronomical Society, v. 524, n. 1, p. 143-160, Sept. 2023. DOI: <10.1093/mnras/stad1871>. Disponível em: <http://doi.org/10.1093/mnras/stad1871>.

FRANCISCO, P. S. L.; MELEGATI, J.; GOMES, E.; PEREIRA, N. S.; GUERRA, E.; MEIRELLES, P. CADV: A software visualization approach for code annotations distribution. Information and Software Technology, v. 154, p. e107089, Feb. 2023. DOI: <10.1016/j.infsof.2022.107089>. Disponível em: <http://doi.org/10.1016/j.infsof.2022.107089>.

GONÇALVES, G. M. S.; BARTELS, G. K.; LIMA, L. S.; BOEIRA, L. S.; COLLARES, G. L. Continuous discharge monitoring of the Mirim-Sao Goncalo system by the index velocity rating curve method. Journal of Hydroinformatics, v. 25, n. 1, p. 20-35, Jan. 2023. DOI: <10.2166/hydro.2023.045>. Disponível em: <http://doi.org/10.2166/hydro.2023.045>.

GONÇALVES, N. B.; SILVA, R. D.; WU, J.; PONTES LOPES, A.; STARK, S. C.; NELSON, B. W. Amazon forest spectral seasonality is consistent across sensor resolutions and driven by leaf demography. ISPRS Journal of Photogrammetry and Remote Sensing, v. 196, p. 93-104, Feb. 2023. DOI: <10.1016/j.isprsjprs.2022.12.001>. Disponível em: <http://doi.org/10.1016/j.isprsjprs.2022.12.001>.

GUERRERO, J. V. R.; ESCOBAR-SILVA, E. V.; CHAVES, M. E. D.; MATAVELI, G. A. V.; MOSCHINI, L. E. Detecting multitemporal land use changes and environmental fragility in a heterogeneous Brazilian landscape. Papers in Applied Geography, v. 9, n. 1, p. 89-103, 2023. DOI: <10.1080/23754931.2022.2117565>. Disponível em: <http://doi.org/10.1080/23754931.2022.2117565>.

IVO, A. A. S.; RIBEIRO, S. G.; MATIELLO FRANCISCO, M. F.; BONDAVALLI, A. Toward Conceptual Analysis of Cyber-Physical Systems Projects Focusing on the Composition of Legacy Systems. IEEE Access, v. 11, p. 58136-58158, 2023. DOI: <10.1109/ACCESS.2023.3284039>. Disponível em: <http://doi.org/10.1109/ACCESS.2023.3284039>.

JESUS, H. S.; COELHO, S. M. S. C.; CEBALLOS, J. C.; CORRÊA, M. P. Cloud modification factor parametrization for solar UV based on the GOES satellite: Validation using ground-based measurements in São Paulo city, Brazil. Atmospheric Environment, v. 39, p. e119942, Sept. 2023. DOI: <10.1016/j.atmosenv.2023.119942>. Disponível em: <http://doi.org/10.1016/j.atmosenv.2023.119942>.

JESUS, F. S. M.; MONTEIRO, A. M. V.; TOMASELLA, J. Spatial Inequalities in Access to Safe Drinking Water in an Upper-Middle-Income Country: A Multi-Scale Analysis of Brazil. Water (Switzerland), v. 15, n. 8, p. e1620, Apr. 2023. DOI: <10.3390/w15081620>. Disponível em: <http://doi.org/10.3390/w15081620>.

JÁCOME, H. R. P.; ECHER, E.; MARQUES, M. S. Uma introdução à interação eletrodinâmica entre Júpiter e os satélites Galileanos. Revista Brasileira de Ensino de Fisica, v. 45, p. e20220278, 2023. DOI: <10.1590/1806-9126-RBEF-2022-0278>. Disponível em: <http://doi.org/10.1590/1806-9126-RBEF-2022-0278>.

LEMES, M. C. R.; SAMPAIO, G.; FISCH, G.; ALVES, L. M.; MAKSIC, J.; SILVA, M. G. B.; SHIMIZU, M. H. Impacts of atmospheric CO2 increase and Amazon deforestation on the regional climate: A water budget modelling study. International Journal of Climatology, v. 43, n. 3, p. 1497-1513, Mar. 2023. DOI: <10.1002/joc.7929>. Disponível em: <http://doi.org/10.1002/joc.7929>.

LIMA, T. M. A.; GIARDINO, C.; BRESCIANI, M.; BARBOSA, C. C. F.; FABBRETTO, A.; PELLEGRINO, A.; BEGLIOMINI, F. N. Assessment of estimated phycocyanin and chlorophyll-a concentration from PRISMA and OLCI in Brazilian inland waters: a comparison between semi-analytical and machine learning algorithms. Remote Sensing, v. 15, n. 5, p. e1299, Mar. 2023. DOI: <10.3390/rs15051299>. Disponível em: <http://doi.org/10.3390/rs15051299>.

LONDE, L. R.; LOOSE, E. B.; MARCHEZINI, V.; SAITO, S. M. Communication in the Brazilian civil defense system. International Journal of Disaster Risk Reduction, v. 95, p. 103869, Sept. 2023. DOI: <10.1016/j.ijdrr.2023.103869>. Disponível em: <http://doi.org/10.1016/j.ijdrr.2023.103869>.

LOPES, R. A. M.; ANTREICH, F.; FOHLMEISTER, F.; KRIEGEL, M.; KUGA, H. K. Linear time-invariant filtering for real-time monitoring of ionospheric scintillation in GNSS receivers. GPS Solutions, v. 27, n. 3, p. e131, July 2023. DOI: <10.1007/s10291-023-01470-0>. Disponível em: <http://doi.org/10.1007/s10291-023-01470-0>.

LOUZADA, R. O.; REIS, L. K.; DINIZ, J. M. F. S.; ROQUE, F. O.; GAMA, F. F.; BERGIER, I. Combining optical and microwave remote sensing for assessing gullies in human-disturbed vegetated landscapes. Catena, v. 228, p. e107127, July 2023. DOI: <10.1016/j.catena.2023.107127>. Disponível em: <http://doi.org/10.1016/j.catena.2023.107127>.

LOUZADA, R. O.; ROQUE, F. O.; DINIZ, J. M. F. S.; BERGIER, I. River channel avulsion in the Taquari River megafan of the Brazilian Pantanal: Remote sensing and modeling reveal recent and future changes. Applied Geography, v. 155, p. e102955, June 2023. DOI: <10.1016/j.apgeog.2023.102955>. Disponível em: <http://doi.org/10.1016/j.apgeog.2023.102955>.

MACHADO, D. A.; COSTA, F. S.; ANDRADE, J. C.; DIAS, G. S.; FISCHER, G. A. A. Schlieren image velocimetry of swirl sprays. Flow, Turbulence and Combustion, v. 110, n. 2, p. 489-513, Feb. 2023. DOI: <10.1007/s10494-022-00385-z>. Disponível em: <http://doi.org/10.1007/s10494-022-00385-z>.

MACHADO, D. A.; COSTA, F. S.; OLIVEIRA, A. C.; HETEM JÚNIOR, A. Sulfur hexafluoride pulsed jet visualization by the Resonant Schlieren method. Optics Continuum, v. 2, n. 1, p. 205-215, Jan. 2023. DOI: <10.1364/OPTCON.474915>. Disponível em: <http://doi.org/10.1364/OPTCON.474915>.

MANTOVANI JÚNIOR, J. A.; ARAVÉQUIA, J. A.; CARNEIRO, R. G.; FISCH, G. F. Evaluation of PBL Parameterization Schemes in WRF Model Predictions during the Dry Season of the Central Amazon Basin. Atmosphere, v. 14, n. 5, p. e850, May 2023. DOI: <10.3390/atmos14050850>. Disponível em: <http://doi.org/10.3390/atmos14050850>.

MARQUES CARVALHO, R.; ALMEIDA, C. M.; ESCOBAR SILVA, E. V.; ALVES, R. B. O.; LACERDA, C. S. A. Simulation and prediction of urban land use change considering Multiple classes and transitions by means of random change Aalocation algorithms. Remote Sensing, v. 15, n. 1, p. e90, Jan. 2023. DOI: <10.3390/rs15010090>. Disponível em: <http://doi.org/10.3390/rs15010090>.

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SANTOS, B. D.; PINHO, C. M. D.; PÁEZ, A.; AMARAL, S. Identifying Urban and Socio-Environmental Patterns of Brazilian Amazonian Cities by Remote Sensing and Machine Learning. Remote Sensing, v. 15, n. 12, p. e3102, June 2023. DOI: <10.3390/rs15123102>. Disponível em: <http://doi.org/10.3390/rs15123102>.

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SERRÃO, E. A. O.; SILVA, M. T.; FERREIRA, T. R.; XAVIER, A. C. F.; SANTOS, C. A.; ATAIDE, L. C. P.; PONTES, P. R. M.; SILVA, V. P. R. Climate and land use change: future impacts on hydropower and revenue for the Amazon. Journal of Cleaner Production, v. 385, p. e135700, Jan. 2023. DOI: <10.1016/j.jclepro.2022.135700>. Disponível em: <http://doi.org/10.1016/j.jclepro.2022.135700>.

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SILVA, G. M.; ADAMI, M.; GALBRAITH, D.; NASCIMENTO, R. G. M.; WANG, Y.; SHIMABUKURO, Y. E.; EMMERT, F. Spatial Distribution of Secondary Forests by Age Group and Biomass Accumulation in the Brazilian Amazon. Forests, v. 14, n. 5, p. e924, May 2023. DOI: <10.3390/f14050924>. Disponível em: <http://doi.org/10.3390/f14050924>.

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