Pacheco Quevedo, R., Ovando, A., Nunes Calado, B., Cunha-Zeri, G., Antunes da Silva, L., Rodrigues de Luna, Q.-H., Cassiano dos Santos, J., Cesario Abreu, R., Katty Huang, W. T., Noronha, P., Leão, H., Goulart Fiscina, L. F., Quintella Veiga, R., Dutra, D. J., Silva de Lima, Y. M., de Meneses, E., Rodrigues de Sousa, M. T., Massao Futai, M., C Lott, F., ... Oighenstein Anderson, L. (2025). Climate Change Attribution to the 2021 Historic Floods in the Juruá River Basin, Brazilian Amazon: Impacts and Adaptation Insights. Manuskript zur Veröffentlichung eingereicht.

Ajim, A. S., Mohajane, M., Hitouri, S., Pacheco Quevedo, R., Asamin Setargie, T., Fiorentino, C., ElKhrachy, I., & Lahsaini, M. (2025). Geoinformation and machine learning based-models for flood susceptibility mapping: A study of Tensift watershed in the central west of Morocco. Manuskript zur Veröffentlichung eingereicht.

Pacheco Quevedo, R., Pacheco Silva, F., Ribeiro de Freitas, A. L., Goulart Fiscina, L. F., Havenith, H.-B., & Massao Futai, M. (2025). How are InSAR techniques contributing to landslide susceptibility analysis? A literature review. Manuskript in Vorbereitung.

Maciel, D. A., Lousada, F., Fassoni-Andrade, A., Quevedo, R. P., Barbosa, C. C. F., Paule-Bonnet, M., & Novo, E. M. L. D. M. (2024). Sentinel-1 data reveals unprecedented reduction of open water extent due to 2023-2024 drought in the central Amazon basin. Environmental Research Letters, 19, 1. https://doi.org/10.1088/1748-9326/ad8a71

Pacheco Quevedo, R., Andrade Maciel, D., Souza Reis, M., Daleles Rennó, C., Vieira Dutra, L., Oliveira Andrades-Filho, C., Velástegui-Montoya, A., Zhang, T., Sehn Körting, T., & Oighenstein Anderson, L. (2024). Land use and land cover changes without invalid transitions: a case study in a landslide-affected area. Remote Sensing Applications: Society and Environment, 1. https://doi.org/10.1016/j.rsase.2024.101314

Montoya, A. D. V., Romero, J. A. G., Chuizaca-Espinoza, I. A., Quevedo, R. P., Santana-Cunha, C., Ochoa-Brito, J. I., & Arias-Hidalgo, M. (2024). Assessing Regressive Erosion Effects: Unveiling Riverside Land Use Land Cover Changes Post Hydroelectric Project Construction. Environmental Challenges, 15, 1. https://doi.org/10.1016/j.envc.2024.100882

Oliveira Andrades-Filho, C., Fossa Sampaio Mexias, L., Pacheco Quevedo, R., Boelter Herrmann, P., Garcia de Oliveira, G., Rosa Cargnin, B., Silva Reis, M., Ribeiro Novakoski, K., Cavalheiro, D., Robbi Sluter, C., Lopes Iescheck, A., Guasselli, L. A., Ribeiro Junior, M., Sambaqui Gruber, N. L., Philipp, R. P., Lizzoni Michelin, C. R., Viero, A. P., Gonzatti, C., Cremon, É., ... Giaccom, B. (2024). The biggest landslide event in Brazil: preliminary analysis of Rio Grande do Sul mega disaster in May 2024. Manuskript zur Veröffentlichung eingereicht.

Ferreira Barbosa, M. L., Quintella Veiga, R., Pacheco Quevedo, R., Dutra, D. J., Moreira Pessôa, A. C., Pereira de Medeiros, T., Beray Armond, N., Burton, C., Liu, Y., Luiz, R., Cesario Abreu, R., Li, S., C Lott, F., Bortolozo, C. A., Sparrow, S., & Oighenstein Anderson, L. (2023). Attributing deadly landslide disaster in Southeastern Brazil to human-induced climate change. Manuskript zur Veröffentlichung eingereicht.

Quevedo, R. P., Velastegui-Montoya, A., Montalván-Burbano, N., Morante-Carballo, F., Korup, O., & Rennó, C. D. (2023). Land use and land cover as a conditioning factor in landslide susceptibility: a literature review. Landslides, 20, 967. https://doi.org/10.1007/s10346-022-02020-4

Althuwaynee, O., Melillo, M., Gariano, S. L., Park, H. J., Kim, S.-W., Lombardo, L., Hader, P., Mohajane, M., Quevedo, R. P., Catani, F., & Aydda, A. (2023). DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds. Environmental Modelling & Software, 162, 1. https://doi.org/10.1016/j.envsoft.2023.105657

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. (2023). 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. https://doi.org/10.3390/land12020468

Quevedo, R. P., Maciel, D. A., Uehara, T. D. T., Vojtek, M., Rennó, C. D., Pradhan, B., Vojteková, J., & Pham, Q. B. (2022). Consideration of spatial heterogeneity in landslide susceptibility mapping using geographical random forest model. Geocarto International, 8190. https://doi.org/10.1080/10106049.2021.1996637

Zhang, T., Fu, Q., Li, C., Liu, F., Wang, H., Han, L., Quevedo, R. P., Chen, T., & Lei, N. (2022). Modeling landslide susceptibility using data mining techniques of kernel logistic regression, fuzzy unordered rule induction algorithm, SysFor and random forest. Natural Hazards. https://doi.org/10.1007/S11069-022-05756-3

Zhang, T., Fu, Q., Pacheco Quevedo, R., Chen, T., Luo, D., Liu, F., & Kong, H. (2022). Landslide Susceptibility Mapping Using Novel Hybrid Model Based on Different Mapping Units. KSCE Journal of Civil Engineering. https://doi.org/10.1007/s12205-022-1471-9

Zhang, T., Pacheco Quevedo, R., Wang, H., Fu, Q., Luo, D., Wang, T., Garcia de Oliveira, G., Guasselli, L. A., & Daleles Rennó, C. (2022). Improved tree-based machine learning algorithms combining with bagging strategy for landslide susceptibility modeling. Arabian Journal of Geosciences. https://doi.org/10.1007/s12517-022-09488-3

Tardelli Uehara, T. D., Korting, T. S., Soares, A. D. R., & Quevedo, R. P. (2022). Time-series metrics applied to land use and land cover mapping with focus on landslide detection. Journal of Applied Remote Sensing. https://doi.org/10.1117/1.JRS.16.034518