Articles published in international journals by faculty, students and recent graduates of PPGSR/UFRGS:
2025 (under construction)
VARNIER, MACLEIDI; WEBER, ELISEU JOSÉ. “Evaluating the Accuracy of Land-Use Change Models for Predicting Vegetation Loss Across Brazilian Biomes” Land 14, no. 3: 560. – 2025: https://doi.org/10.3390/land14030560
2024
FONTANA, DENISE CYBIS; RADIN, BERNADETE ; OLIVEIRA, GUILHERME ARI FERREIRA DE ; BELFANTE JUNIOR, VLAMIR ; BREMM, CAROLINA . Annual and daily pattern of soil temperature in an integrated crop-livestock system in the south of Brazil. Agrometeoros, v. 32, p. e027624-2024, 2024.DOI: http://dx.doi.org/10.31062/agrom.v32.e027624
DE OLIVEIRA, Allan de Oliveira; SARMENTO, Eliana Casco; DOS SANTOS, Roberta Roxilene; HASENACK, Heinrich; WEBER, Eliseu José; ROSA, Maria Luiza Correa da Camara. Vector cartographic database of geological data of the Coastal Province of the State of Rio Grande do Sul, Brazil. Latin American Data in Science, [S. l.], v. 4, n. 1, p. 2–10, 2024. DOI: https://doi.org/10.53805/lads.v4i1.68
ANDRADE, HUGO NUNES; NUNES, ANDRÉ BECKER; TEIXEIRA, MATEUS SILVA; QUADRO, MÁRIO FRANCISCO LEAL DE; AVILA, VILSON DIAS DE; OLIVEIRA, FABRÍCIO SANGUINETTI CRUZ DE; ALVES, RITA DE CÁSSIA MARQUES. Composite Analysis of Explosive Cyclones in the Southern Atlantic Ocean. International Journal of Climatology, 2024. DOI: https://doi.org/10.1002/joc.8737.
GIANUCA, KAHUAM; SILVA, TATIANA ; ASMUS, MILTON . Ecosystem-based spatial modeling: Assessing the supply of hydrological services in a watershed in Southern Brazil. ECOLOGICAL MODELLING, v. 492, p. 110723, 2024. DOI: https://doi.org/10.1016/j.ecolmodel.2024.110723
FONTOURA, GLAUBER DA; FREITAS, LUIS ANTONIO DE; SILVA, TATIANA; POSSANTTI, IPORÃ. Equivalent biodiversity area: A novel metric for No Net Loss success in Brazil’s changing biomes. Journal of Environmental Management, v. 355, p. 120540, mar. 2024. DOI:https://doi.org/10.1016/j.jenvman.2024.120540
BERRA, ELIAS FERNANDO; FONTANA, DENISE CYBIS; YIN, FENG; BREUNIG, FABIO MARCELO. Harmonized Landsat and Sentinel-2 Data with Google Earth Engine. Remote Sensing, v. 16, n. 15, p. 2695, 2024. DOI: https://doi.org/10.3390/rs16152695.
QUEVEDO, RENATA PACHECO; MACIEL, DANIEL ANDRADE; REIS, MARIANE SOUZA; RENNÓ, CAMILO DALELES; DUTRA, LUCIANO VIEIRA; ANDRADES-FILHO, CLÓDIS DE OLIVEIRA; VELÁSTEGUI-MONTOYA, ANDRÉS; ZHANG, TINGYU; KÖRTING, THALES SEHN; ANDERSON, LIANA OIGHENSTEIN. Land use and land cover changes without invalid transitions: A case study in a landslide-affected area. Remote Sensing Applications: Society and Environment, v. 36, p. 101314, nov. 2024.DOI: https://doi.org/10.1016/j.rsase.2024.101314
PRATES HALLAL, G.; DE ALMEIDA ESPINOZA, J. M.; VEETTIL, B. K.; PORCHER, C. C.; OLIVEIRA RIGHI DA SILVA, M.; BEATRIZ ALVES ROLIM, S. Mapping heavy mineral deposits on the coast of the state of Rio Grande do Sul (Brazil) using orbital and proximal remote sensing. PLoS ONE, v. 19, n. 9, p. e0309043, 2024. DOI: https://doi.org/10.1371/journal.pone.0309043.
CANO, DEYVIS; CACCIUTTOLO, CARLOS; HALLER, ANDREAS; ROSARIO, CIZA; GUERRA, JUAN CARLOS; OLIVEIRA, GUILHERME GARCIA DE. Spatio-temporal tendencies of urban land surface temperature on the Andean piedmont under climate change: A case study of Metropolitan Lima, Peru (1986–2024). Remote Sensing Applications: Society and Environment, v. 36, p. 101378, nov. 2024. DOI: https://doi.org/10.1016/j.rsase.2024.101378
RODIGHERI, GRAZIELI; FONTANA, DENISE CYBIS; LUZ, LUANA BECKER DA; DALMAGO, GENEI ANTONIO; SCHIRMBECK, LUCIMARA WOLFARTH; SCHIRMBECK, JULIANO; GOUVÊA, JORGE ALBERTO DE; CUNHA, GILBERTO ROCCA DA. TVDI-based water stress coefficient to estimate net primary productivity in soybean areas. Ecological Modelling, v. 490, p. 110636, abr. 2024. DOI: https://doi.org/10.1016/j.ecolmodel.2024.110636
FERNANDES, RODRIGO; FERREIRA, ANTONIO; NASCIMENTO, VICTOR; FREITAS, MARCOS; OMETTO, JEAN. Urban Heat Island Assessment in the Northeastern State Capitals in Brazil Using Sentinel-3 SLSTR Satellite Data. Sustainability, v. 16, n. 11, p. 4764, 2024. DOI: https://doi.org/10.3390/su16114764.
2023
SALES, V. F.; ZANOTTA, D. C.; MARQUES JR., A.; RACOLTE, G.; MULLER, M.; CAZARIN, C. L. An adaptive spectral index for carbonate rocks using OLI Landsat-8 imagery. Geocarto International, v. 38, n. 1, 2023. DOI: https://doi.org/10.1080/10106049.2023.2179671
ZANOTTA, DANIEL C.; MARQUES JUNIOR, ADEMIR; MOTTA, JOÃO GABRIEL; SALES, VINÍCIUS; GUIMARÃES, TAINÁ T.; KUPSSINSKU, LUCAS S.; RACOLTE, GRACIELA; BORDIN, FABIANE; CAZARIN, CAROLINE L.; GONZAGA JR., LUIZ; VERONEZ, MAURÍCIO R. An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples. Computers & Geosciences, v. 181, p. 105456, dez. 2023. DOI: https://doi.org/10.1016/j.cageo.2023.105456
MENDONÇA, LUIS FELIPE FERREIRA DE; FETTER-FILHO, ANTÔNIO FERNANDO HARTER; ANDRADE, MAURO MICHELENA; OLIVEIRA, FABRÍCIO SANGUINETTI CRUZ DE; LINDEMANN, DOUGLAS DA SILVA; FREITAS, ROSE ANE PEREIRA DE; REIS, RAFAEL AFONSO DO NASCIMENTO; LENTINI, CARLOS ALESSANDRE DOMINGOS; PARISE, CLAUDIA KLOSE; SANTOS, DANIEL CAETANO. Analysis of a coastal-trapped wave generated by the 2016 extra-tropical cyclonic system in the Southern Brazilian continental shelf with COAWST modeling system. Journal of Geophysical Research: Oceans, 2024. DOI: https://doi.org/10.1016/j.jsames.2023.104522
FONTANA, A. G., NASCIMENTO, V. F., OMETTO, J. P., & DO AMARAL, F. H. F. (2023). Analysis of past and future urban growth on a regional scale using remote sensing and machine learning. Frontiers in Remote Sensing, 4, 1123254. DOI: https://doi.org/10.3389/frsen.2023.1123254
SFREDDO, G. A., SILVA, T. S., & BARBOZA, E. G. (2023). Assessment of local coastal vulnerability based on a global model: A case study in Jaguaruna, southern Brazil. Regional Studies in Marine Science, 61, 102824. DOI: https://doi.org/10.1016/j.rsma.2023.102824
SILVEIRA, LEONARD N. DA; NASCIMENTO, VÍCTOR FERNANDEZ; CASAGRANDE, FERNANDA; SOUZA, SERGIO FLORÊNCIO DE; OMETTO, JEAN PIERRE HENRY BALBAUD. Assessment of soil loss susceptibility in geodetic landmarks for the past and future climate change scenarios. Journal of South American Earth Sciences, v. 130, p. 104551, out. 2023. DOI: https://doi.org/10.1016/j.jsames.2023.104551
ALMEIDA JUNIOR, V. H. DE, & GEREMIA-NIEVINSKI, F. (2023). Computation of specular reflections on a sphere: Assessment and validation of algorithms based on special boundary cases. Computers & Geosciences, 176, 105357. DOI: https://doi.org/10.1016/j.cageo.2023.105357
Thalia Nikolaidou , Marcelo Santos , Simon Williams , et al. Development and validation of comprehensive closed formulas for atmospheric delay and altimetry correction in ground-based GNSS-R. TechRxiv. November 01, 2022. DOI: 10.36227/techrxiv.14345153.v4
KORB, C. C., GUASSELLI, L. A., BELLOLI, T. F., & CUNHA, C. S. (2023). Dinâmica espaço-temporal de pulsos de inundações nas Áreas Úmidas do Parque Nacional da Lagoa do Peixe, sul do Brasil. Investigaciones Geográficas.DOI: https://doi.org/10.5354/0719-5370.2023.71701
JESUS, J. B. DE, KUPLICH, T. M., BARRETO, Í. D. DE C., & GAMA, D. C. (2023). Dual polarimetric decomposition in Sentinel-1 images to estimate aboveground biomass of arboreal caatinga. Remote Sensing, 15(15), 4187. DOI: https://doi.org/10.3390/rs15154187
Loureiro, A. I., Bressane, A., Nascimento, V. F., & Negri, R. G. (2023). Enhancing landfill monitoring and assessment: A proposal combining GIS-based analytic hierarchy processes and fuzzy artificial intelligence. Knowledge, 3(4), 610-625. DOI: https://doi.org/10.3390/knowledge3040038
DE JESUS, J.B., KUPLICH, T.M., DE C. BARRETO, Í.D. et al. Estimation of aboveground biomass of arboreal species in the semi-arid region of Brazil using SAR (synthetic aperture radar) images. J. Arid Land 15, 695–709 (2023). DOI: https://doi.org/10.1007/s40333-023-0017-4
Herrmann PB, Nascimento VF, Freitas MWDd and Ometto JP (2023) Fire in highland grasslands in the Atlantic Forest Biome, a burned areas time series analysis and its correlation with the legislation. Front. Remote Sens. 4:1099430. DOI: https://doi.org/10.3389/frsen.2023.1099430
FERNANDES, R.; NASCIMENTO, V.; FREITAS, M.; OMETTO, J. Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review. Remote Sens. 2023, 15, 884.DOI: https://doi.org/10.3390/rs15040884
BECERRA-RONDÓN, ADRIANA, DUCATI, JORGE, & HAAG, RAFAEL. (2023). Partial COVID-19 lockdown effect in atmospheric pollutants and indirect impact in UV radiation in Rio Grande do Sul, Brazil. Atmósfera, 36(1), 143-154. Epub 07 de noviembre de 2022.DOI: https://doi.org/10.20937/atm.53027
ROLIM, S. B. A., VEETTIL, B. K., VIEIRO, A. P., KESSLER, A. B., & GONZATTI, C. (2023). Remote sensing for mapping algal blooms in freshwater lakes: A review. Environmental Science and Pollution Research International, 30(8), 19602-19616. DOI: https://doi.org/10.1007/s11356-023-25230-2
ROCHA, N. S. DA, VEETTIL, B. K., WARD, R. D., COSTI, J., & ROLIM, S. B. A. (2023). Remote sensing of grasslands in the South American Pampas (scientometrics analysis). Land Degradation & Development. DOI: https://doi.org/10.1002/ldr.4658
Herrmann, P. B., Nascimento, V. F., Casagrande, F., Freitas, M. W. D., & Klug, A. C. (2023). Spatial modeling of fire in the Atlantic forest considering future climate change scenarios in Rio Grande do Sul state – Brazil. Journal of South American Earth Sciences, 131, 104614. DOI: https://doi.org/10.1016/j.jsames.2023.104614
Kappes, B. B.; Kuplich. T. M.; Silva, T. S.; Weber, E. J. (2023). Using multilayer perceptron and similarity‐weighted machine learning algorithms to reconstruct the past: A case study of the agricultural expansion on grasslands in the Uruguayan savannas. Integrated Environmental Assessment and Management, v. 00, p. 1-16, 2023. DOI: https://doi.org/10.1002/ieam.4852
Lima, B. D., Cássia Marques Alves, R., Oliveira, G. G., & Paim, B. L. (2023). The performance of artificial neural networks for modeling daily concentrations of particulate matter from meteorological data. Environmental Monitoring and Assessment, 195(11), 1305. DOI: https://doi.org/10.1007/s10661-023-11911-5
Geremia-Nievinski, F. (2023). Low-Cost Ground-Based GNSS Reflectometry. In: Sideris, M.G. (eds) Encyclopedia of Geodesy. Encyclopedia of Earth Sciences Series. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-02370-0_175-1
Hofmann, G. S., Silva, R. C., Weber, E. J., Barbosa, A. A., Oliveira, L. F. B., Alves, R. J. V., Hasenack, H., Schossler, V., Aquino, F. E., Cardoso, M. F. (2023). Changes in atmospheric circulation and evapotranspiration are reducing rainfall in the Brazilian Cerrado. Scientific Reports, 13, 11236. DOI: https://doi.org/10.1038/s41598-023-38174-x
2022
Karegar, M. A., Kusche, J., Geremia-Nievinski, F., & Larson, K. M. (2022). Raspberry Pi Reflector (RPR): A low-cost water-level monitoring system based on GNSS Interferometric Reflectometry. Water Resources Research, 58, e2021WR031713. DOI: https://doi.org/10.1029/2021WR031713
Baeza, S., Vélez-Martin, E., […], Schirmbeck, J., […], Weber, E. J., […]. (2022). Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative. Remote Sensing Applications: Society and Environment, 28, 100834 (November 2022). DOI: https://doi.org/10.1016/j.rsase.2022.100834
Gameiro, S., Oliveira, G. G., Guasselli, L. A. (2022). The influence of sampling on landslide susceptibility mapping using artificial neural networks. Geocarto International, 37, 1-25 (6 November 2022). DOI: https://doi.org/10.1080/10106049.2022.2144475
Belloli, T. F., Guasselli, L. A., Kuplich, T. M., Ruiz, L. F. C., Arruda, D. C., Etchelar, C. B., Simioni, J. D. (2022). Estimation of aboveground biomass and carbon in palustrine wetland using bands and multispectral indices derived from optical satellite imageries PlanetScope and Sentinel-2A. Journal of Applied Remote Sensing, 16(3), 034516 (4 August 2022). DOI: https://doi.org/10.1117/1.JRS.16.034516
Lucchese, L. V., Oliveira, G. G., Pedrollo, O. C. (2022). A hybrid Random Forests and Artificial Neural Networks Bagging Ensemble for Landslide Susceptibility Modelling. Geocarto International, 37, 1-18 (3 August 2022). DOI: http://dx.doi.org/10.1080/10106049.2022.2109761
Hillebrand, F. L., Bremer, U. F., de Freitas, M. W. D., Costi, J., Mendes Junior, C. W., Arigony-Neto, J., & Simões, J. C. (2022). Spectral linear mixing model applied to data from passive microwave radiometers for sea ice mapping in the Antarctic Peninsula. Geocarto International, 37, 3141-3166. DOI: https://doi.org/10.1080/10106049.2020.1856194
Martinez-Felix, C. A., Vazquez-Becerra, G. E., Geremia-Nievinski, F., Millan-Almaraz, J. R., Franco-Ochoa, C., Melgarejo-Morales, A., & Gaxiola-Camacho, J. R. (2022). Tidal measurements in the Gulf of Mexico: intercomparison of coastal tide gauge, insular GNSS reflectometry and SAR altimetry. GPS Solutions, 26(1), 1-10. DOI: https://doi.org/10.1007/s10291-021-01207-x
Simioni, J. P. D., Guasselli, L. A., Belloli, T. F., & Ramos, R. A. (2022). Assessment of fire resilience in subtropical wetlands using high spatial resolution images. Environmental Monitoring and Assessment, 194(6), 1-14. DOI: https://doi.org/10.1007/s10661-022-09985-8
Zhang, T., Quevedo, R. P., Wang, H., Fu, Q., Luo, D., Wang, T., … & Renno, C. D. (2022). Improved tree-based machine learning algorithms combining with bagging strategy for landslide susceptibility modeling. Arabian Journal of Geosciences, 15(2), 1-19. DOI: https://doi.org/10.1007/s12517-022-09488-3
Käfer, P. S., da Rocha, N. S., Veeck, G. P., Diaz, L. R., da Costa, S. T. L., Kaiser, E. A., … & Rolim, S. B. A. (2022). Assessing uncertainties in estimating surface energy fluxes from remote sensing over natural grasslands in Brazil. Theoretical and Applied Climatology, 148(1), 751-765. DOI: https://doi.org/10.1007/s00704-021-03869-6
de Jesus, J. B., de Oliveira, D. G., Araújo, W. S., da Cruz, L. S., & Kuplich, T. M. (2022). Influence of anthropization on the floristic composition and phytosociology of the Caatinga susceptible to desertification in the state of Sergipe, Brazil. Tropical Ecology, 1-11. DOI: https://doi.org/10.1007/s42965-021-00201-1
da Rosa, C. N., Pereira Filho, W., Bremer, U. F., Putzke, J., de Andrade, A. M., Kramer, G., … & de Jesus, J. B. (2022). Spectral behavior of vegetation in Harmony Point, Nelson Island, Antarctica. Biodiversity and Conservation, 1-19. DOI: https://doi.org/10.1007/s10531-022-02408-7
Gameiro, S., Nascimento, V., Facco, D., Sfredo, G., & Ometto, J. (2022). Multitemporal Spatial Analysis of Land Use and Land Cover Changes in the Lower Jaguaribe Hydrographic Sub-Basin, Ceará, Northeast Brazil. Land, 11(1), 103. DOI: https://doi.org/10.3390/land11010103
de Barros Franco, D. G., Steiner, M. T. A., Fernandes, R. P., & Nascimento, V. F. (2022). Modeling municipal solid waste disposal consortia on a regional scale for present and future scenarios. Socio-Economic Planning Sciences, 101333. DOI: https://doi.org/10.1016/j.seps.2022.101333
Kupssinskü, L. S., Guimarães, T. T., Cardoso, M. D. B., Bachi, L., Zanotta, D., Estilon de Souza, I., … & Gonzaga Jr, L. (2022). Hyperspectral data as a proxy for porosity estimation of carbonate rocks. Australian Journal of Earth Sciences, 1-15. DOI: https://doi.org/10.1080/08120099.2022.2046636
Racolte, G., Marques, A., Scalco, L., Tonietto, L., Zanotta, D. C., Cazarin, C. L., … & Veronez, M. R. (2022). Spherical K-means and Elbow method optimizations with Fisher statistics for 3D stochastic DFN from Virtual Outcrop Models. IEEE Access, 10, 63723-63735. DOI: http://dx.doi.org/10.1109/ACCESS.2022.3182332
Marques, A., Racolte, G., Zanotta, D. C., Menezes, E., Cazarin, C. L., Gonzaga, L., & Veronez, M. R. (2022). Adaptive Segmentation for Discontinuity Detection on Karstified Carbonate Outcrop Images From UAV-SfM Acquisition and Detection Bias Analysis. IEEE Access, 10, 20514-20526. DOI: http://dx.doi.org/10.1109/access.2022.3151897
2021
Yamawaki, M. K., Geremia-Nievinski, F., & Monico, J. G. (2021). High-rate altimetry in SNR-based GNSS-R: Proof-of-concept of a synthetic vertical array. IEEE Geoscience and Remote Sensing Letters, 19, 1-5. DOI: 10.1109/LGRS.2021.3068091
Fagundes, M. A. R., Mendonça-Tinti, I., Iescheck, A. L., Akos, D. M., & Geremia-Nievinski, F. (2021). An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea-level altimetry. GPS Solutions, 25(2), 1-11. DOI: https://doi.org/10.1007/s10291-021-01087-1
Hillebrand, F. L., Bremer, U. F., de Freitas, M. W. D., Costi, J., Mendes Júnior, C. W., Arigony-Neto, J., … & de Jesus, J. B. (2021). Statistical modeling of sea ice concentration in the northwest region of the Antarctic Peninsula. Environmental Monitoring and Assessment, 193(2), 1-22. DOI: https://doi.org/10.1007/s10661-021-08843-3
Abrantes, T. C., Queiroz, A. R. S., Lucio, F. R., Mendes Junior, C. W., Kuplich, T. M., Bredemeier, C., & Merotto Junior, A. (2021). Assessing the effects of dicamba and 2, 4 Dichlorophenoxyacetic acid (2, 4D) on soybean through vegetation indices derived from Unmanned Aerial Vehicle (UAV) based RGB imagery. International Journal of Remote Sensing, 42(7), 2740-2758. DOI: https://doi.org/10.1080/01431161.2020.1832283
Hillebrand, F. L., de Carvalho Barreto, I. D., Bremer, U. F., Arigony-Neto, J., Júnior, C. W. M., Simões, J. C., … & de Jesus, J. B. (2021). Application of textural analysis to map the sea ice concentration with sentinel 1A in the western region of the Antarctic Peninsula. Polar Science, 29, 100719. DOI: https://doi.org/10.1016/j.polar.2021.100719
Oliveira Andrades–Filho, C., de Fátima Rossetti, D., & Bezerra, F. H. R. (2021). The unsteady post-rift stage of the South American passive margin based on the tectono-sedimentary evolution of the onshore Paraíba Basin, NE Brazil. Quaternary International, 580, 100-119. DOI: https://doi.org/10.1016/j.quaint.2020.10.051
Hofmann, G. S., Cardoso, M. F., Alves, R. J., Weber, E. J., Barbosa, A. A., de Toledo, P. M., … & de Oliveira, L. F. (2021). The Brazilian Cerrado is becoming hotter and drier. Global Change Biology, 27(17), 4060-4073. DOI: https://doi.org/10.1111/gcb.15712
Souza, R., Pezzi, L., Swart, S., Oliveira, F., & Santini, M. (2021). Air-sea interactions over eddies in the brazil-malvinas confluence. Remote Sensing, 13(7), 1335. DOI: https://doi.org/10.3390/rs13071335
Lucchese, L. V., de Oliveira, G. G., & Pedrollo, O. C. (2021). Investigation of the influence of nonoccurrence sampling on landslide susceptibility assessment using Artificial Neural Networks. Catena, 198, 105067. DOI: https://doi.org/10.1016/j.catena.2020.105067
Lucchese, L. V., de Oliveira, G. G., & Pedrollo, O. C. (2021). Mamdani fuzzy inference systems and artificial neural networks for landslide susceptibility mapping. Natural Hazards, 106(3), 2381-2405. DOI: https://doi.org/10.1007/s11069-021-04547-6
Gameiro, S., Riffel, E. S., de Oliveira, G. G., & Guasselli, L. A. (2021). Artificial neural networks applied to landslide susceptibility: The effect of sampling areas on model capacity for generalization and extrapolation. Applied Geography, 137, 102598. DOI: https://doi.org/10.1016/j.apgeog.2021.102598
Pithan, P. A., Ducati, J. R., Garrido, L. R., Arruda, D. C., Thum, A. B., & Hoff, R. (2021). Spectral characterization of fungal diseases downy mildew, powdery mildew, black-foot and Petri disease on Vitis vinifera leaves. International Journal of Remote Sensing, 42(15), 5680-5697. DOI: https://doi.org/10.1080/01431161.2021.1929542
Ruiz, L. F. C., Guasselli, L. A., Simioni, J. P. D., Belloli, T. F., & Fernandes, P. C. B. (2021). Object-based classification of vegetation species in a subtropical wetland using Sentinel-1 and Sentinel-2A images. Science of Remote Sensing, 3, 100017. DOI: https://doi.org/10.1016/j.srs.2021.100017
Facco, D. S., Guasselli, L. A., Ruiz, L. F. C., Simioni, J. P. D., & Dick, D. G. (2021). Comparison of PBIA and GEOBIA classification methods in classifying turbidity in reservoirs. Geocarto International, 1-22. DOI: https://doi.org/10.1080/10106049.2021.1899302
Fernandez Nascimento, V., Loureiro, A. I. S., Andrade, P. R., Guasselli, L. A., & Ometto, J. P. B. (2021). A worldwide meta-analysis review of restriction criteria for landfill siting using geographic information systems. Waste Management & Research, 39(3), 409-426. DOI: https://doi.org/10.1177/0734242X20962834
Pezzi, L. P., de Souza, R. B., Santini, M. F., Miller, A. J., Carvalho, J. T., Parise, C. K., … & Rubert, J. (2021). Oceanic eddy-induced modifications to air–sea heat and CO2 fluxes in the Brazil-Malvinas Confluence. Scientific Reports, 11(1), 1-15. DOI: https://doi.org/10.1038/s41598-021-89985-9
da Rocha, N. S., Veettil, B. K., de Carvalho, C. M., Käfer, P. S., Diaz, L. R., Rolim, S. B. A., & Cruz, R. C. (2021). Potential impacts of air temperature rise in the hydric balance of Brazilian Pampa biome. Acta Geophysica, 69(4), 1427-1445. DOI: https://doi.org/10.1007/s11600-021-00589-3
Sobrino, J. A., Souza da Rocha, N., Skoković, D., Suélen Käfer, P., López-Urrea, R., Jiménez-Muñoz, J. C., & Alves Rolim, S. B. (2021). Evapotranspiration Estimation with the S-SEBI Method from Landsat 8 Data against Lysimeter Measurements at the Barrax Site, Spain. Remote Sensing, 13(18), 3686. DOI: https://doi.org/10.3390/rs13183686
Diaz, L. R., Santos, D. C., Käfer, P. S., Iglesias, M. L., da Rocha, N. S., da Costa, S. T. L., … & Rolim, S. B. A. (2021). Reanalysis profile downscaling with WRF model and sensitivity to PBL parameterization schemes over a subtropical station. Journal of Atmospheric and Solar-Terrestrial Physics, 222, 105724. DOI: https://doi.org/10.1016/j.jastp.2021.105724
Diaz, L. R., Santos, D. C., Käfer, P. S., Rocha, N. S. D., Costa, S. T. L. D., Kaiser, E. A., & Rolim, S. B. A. (2021). Land surface temperature retrieval using high-resolution vertical profiles simulated by wrf model. Atmosphere, 12(11), 1436. DOI: https://doi.org/10.3390/atmos12111436
Diaz, L. R., Santos, D. C., Käfer, P. S., Rocha, N. S. D., Costa, S. T. L. D., Kaiser, E. A., & Rolim, S. B. A. (2021). Atmospheric Correction of Thermal Infrared Landsat Images Using High-Resolution Vertical Profiles Simulated by WRF Model. Environmental Sciences Proceedings, 8(1), 27. DOI: https://doi.org/10.3390/ecas2021-10351
de Jesus, J. B., Kuplich, T. M., de Carvalho Barreto, Í. D., da Rosa, C. N., & Hillebrand, F. L. (2021). Temporal and phenological profiles of open and dense Caatinga using remote sensing: response to precipitation and its irregularities. Journal of Forestry Research, 32(3), 1067-1076. DOI: https://doi.org/10.1007/s11676-020-01145-3
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