Grohmann, C.H., 2021. Toque-Toque Grande Landslide, São Paulo State, Brazil. UAV Image Collection.
Authors/Creators
Description
UAV data collected to study a large landslide near the beach of Toque-Toque Grande, city of São Sebastião, northern shore of São Paulo State, Brazil. This dataset was collected in May and August 2022, and covers the entire hillslope.
If you use this data, please cite:
Grohmann, C.H., Garcia, G.P.B., Viana, C.D., Dias, H.C., Gramani, M.F., Santos, L.F., Sousa, A.M., Soares, L.P., & Coelho, R.D., 2025. Landslide 3D reconstruction and monitoring using oblique and nadiral drone aerial imagery. In I. sandric, V. Ilinca, & Z. Chitu (Eds.), Earth Observation Applications to Landslide Mapping, Monitoring and Modeling (pp. 199–214). Elsevier. https://doi.org/10.1016/B978-0-12-823868-4.00010-6
Grohmann, C.H., Garcia, G.P.B., Viana, C.D., Dias, H.C., & Coelho, R.D., 2023. RPA flight pattern and GCP influence on SfM-MVS modeling of a stable landslide in SE Brazil. Geomorphometry 2023, Iasi, Romania. https://doi.org/10.5281/zenodo.7779223
Files
TTG_full2.png
Files
(14.0 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:5223c29e568c49b9b620f1977d295b46
|
1.4 GB | Preview Download |
|
md5:ab49fbfea129e1106fa1b8dd1363ad2e
|
1.3 GB | Preview Download |
|
md5:ce33ce762d6348e6d3e0308c8db591c4
|
1.3 GB | Preview Download |
|
md5:e5e5259868efbea9029e690cdf9a9f2f
|
1.4 GB | Preview Download |
|
md5:537c49e0dbf1f72307b433a2a61d6572
|
959.5 MB | Preview Download |
|
md5:fa391be5815b6c15c127c8d2757d9f79
|
1.4 GB | Preview Download |
|
md5:2177072962c763c4cc80d8fb62ccc3ca
|
1.3 GB | Preview Download |
|
md5:49856a109714cc5b32d453a5f1147e53
|
496.5 MB | Preview Download |
|
md5:78e9b6c2d4bff5460811aef3b1e64155
|
1.5 GB | Preview Download |
|
md5:35b40c29aa707bd9b0ae4110318ce67a
|
882.3 MB | Preview Download |
|
md5:99ec52e170325197ee875c70646dd05d
|
576.4 MB | Preview Download |
|
md5:e354fbd11571ed871c29e88bb36cb234
|
1.5 GB | Preview Download |
|
md5:11bffef36c0138461ec702f1407cd9dc
|
2.4 MB | Preview Download |
|
md5:a6ec684530dbd9fc54ca104c772dd456
|
2.5 MB | Preview Download |
Additional details
Funding
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Application of high-resolution digital elevation models in geology and geomorphology. 2016/06628-0
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- High-Resolution Remote Sensing, Deep Learning and Geomorphometry in Analyses of Mass Movements and Geological Risk. 2019/26568-0