Time-series metrics applied to land use and land cover mapping with focus on landslide detection

TDT Uehara, T Sehn Körting… - Journal of Applied …, 2022 - spiedigitallibrary.org
Landslides are a recurring phenomenon in Brazil and have caused many socioeconomic
losses and casualties. To monitor them, land use and land cover (LULC) and landslide …

Landslide scars detection using remote sensing and pattern recognition techniques: comparison among artificial neural networks, gaussian maximum likelihood …

TDT Uehara, SPLP Corrêa, RP Quevedo… - Revista Brasileira de …, 2020 - seer.ufu.br
Inventários de cicatrizes de deslizamentos são uma ferramenta essencial para apoiar a
mitigação de riscos de desastres. Os inventários são geralmente obtidos por métodos …

Evaluation of multiple classifier systems for landslide identification in Landsat Thematic Mapper (TM) images

LA Manfré, RA de Albuquerque Nóbrega… - … International Journal of …, 2016 - mdpi.com
Landslide scar location is fundamental for the risk management process, eg, it allows
mitigation of these areas, decreasing the associated hazards for the population. Remote …

[PDF][PDF] Classification algorithms comparison for landslide scars.

TDT Uehara, SPLP Correa, RP Quevedo… - …, 2019 - mtc-m21c.sid.inpe.br
Landslide inventory is an essential tool to support disaster risk mitigation. Using remote
sensing images, it is usually obtained through pattern recognition. In this study, three …