Search Results for author: Tina Sederholm

Found 5 papers, 1 papers with code

Poverty rate prediction using multi-modal survey and earth observation data

no code implementations21 Jul 2023 Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres

This work presents an approach for combining household demographic and living standards survey questions with features derived from satellite imagery to predict the poverty rate of a region.

Earth Observation Variable Selection

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

no code implementations21 Jun 2023 Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres

Rapid and accurate building damage assessments from high-resolution satellite imagery following a natural disaster is essential to inform and optimize first responder efforts.

Fast building segmentation from satellite imagery and few local labels

1 code implementation10 Jun 2022 Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres

Innovations in computer vision algorithms for satellite image analysis can enable us to explore global challenges such as urbanization and land use change at the planetary level.

Change Detection

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