| Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes LP Soares, HC Dias, CH Grohmann arXiv preprint arXiv:2007.06672, 2020 | 45 | 2020 |
| Landslide Susceptibility Mapping in Brazil: A Review HC Dias, D Hölbling, CH Grohmann Geosciences 11 (10), 425, 2021 | 33 | 2021 |
| Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil LP Soares, HC Dias, GPB Garcia, CH Grohmann Remote Sensing 14 (9), 2237, 2022 | 24 | 2022 |
| Statistical-based shallow landslide susceptibility assessment for a tropical environment: a case study in the southeastern Brazilian coast HC Dias, MF Gramani, CH Grohmann, C Bateira, BC Vieira Natural Hazards 108 (1), 205-223, 2021 | 23 | 2021 |
| HR-GLDD: A globally distributed dataset using generalized DL for rapid landslide mapping on HR satellite imagery SR Meena, L Nava, K Bhuyan, S Puliero, LP Soares, HC Dias, M Floris, ... Earth System Science Data Discussions 2022, 1-21, 2022 | 21 | 2022 |
| Condicionantes morfológicos e geológicos dos escorregamentos rasos na bacia do Rio Santo Antônio, Caraguatatuba/SP HC Dias, VC Dias, BC Vieira Revista do Departamento de Geografia, 157-163, 2017 | 15 | 2017 |
| Landslide segmentation with u-net: Evaluating different sampling methods and patch sizes. arXiv 2020 LP Soares, HC Dias, CH Grohmann arXiv preprint arXiv:2007.06672, 0 | 11 | |
| Mass movement susceptibility assessment of alpine infrastructure in the Salzkammergut area, Austria L Abad, D Hölbling, F Albrecht, HC Dias, Z Dabiri, G Reischenböck, ... International Journal of Disaster Risk Reduction 76, 103009, 2022 | 9 | 2022 |
| Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil HC Dias, LH Sandre, DAS Alarcón, CH Grohmann, JA Quintanilha Brazilian Journal of Geology 51, e20200105, 2021 | 9 | 2021 |
| Landslide inventory mapping in Brazil: Status and challenges HC Dias, D Hölbling, CH Grohmann XIII International Symposium on Landslides, 2021 | 8 | 2021 |
| Avaliação da suscetibilidade a escorregamentos rasos com base na aplicação de estatística bivariada: resultados preliminares HC Dias, C Bateira, E Pissato, TD Martins, BC Vieira | 6 | 2018 |
| Landslides and morphological characterization in the Serra do Mar, Brazil HC Dias, VC Dias, BC Vieira Landslides and Engineered Slopes. Experience, Theory and Practice, 831-836, 2018 | 5 | 2018 |
| Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil HC Dias, D Hölbling, CH Grohmann Remote Sensing 15 (21), 5137, 2023 | 4 | 2023 |
| Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows HC Dias, D Hölbling, VC Dias, CH Grohmann GI_Forum 2023, 11, 34-44, 2023 | 4 | 2023 |
| Morphology of debris flow deposits from a 1967 event in Caraguatatuba, Serra do Mar, Brazil, The VC Dias, TD Martins, MF Gramani, RD Coelho, HC Dias, BC Vieira Association of Environmental and Engineering Geologists; special publication 28, 2019 | 3 | 2019 |
| Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping HC Dias, CH Grohmann Journal of South American Earth Sciences 135, 104805, 2024 | 2 | 2024 |
| Shallow landslide mapping using freely accessible images: a case study in the Ribeira Valley, Brazil HC Dias, D Hölbling, CH Grohmann EGU General Assembly Conference Abstracts, EGU21-65, 2021 | 2 | 2021 |
| Modelagem da suscetibilidade a escorregamentos rasos com base em análises estatísticas HC Dias Universidade de São Paulo, 2019 | 1 | 2019 |
| Evaluating Manual and Semiautomatic Shallow Landslide Inventories: Implications for Susceptibility Models H Dias, C Grohmann AGU23, 2023 | | 2023 |
| Recent occurrences of debris flow and relation with morphometric parameters in Serra do Mar Paulista, Brazil VI Dias, H Dias, C Grohmann AGU23, 2023 | | 2023 |
