Constructing a Large-scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates

nagendra, savinay; banagere manjunatha, srikanth; kifer, daniel; pei, te; li, weixin; lawson, kathryn; nguyen, hien; qiu, tong; tran, sarah; shen, chaopeng

doi:10.36227/techrxiv.14365502.v1

Task_Specific_Model_Updates_Techrxiv.pdf (2.52 MB)

Constructing a Large-scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates

preprint

posted on 2021-04-09, 08:31 authored by savinay nagendrasavinay nagendra, srikanth banagere manjunatha, daniel kifer, te pei, weixin li, kathryn lawson, hien nguyen, tong qiu, sarah tran, chaopeng shen

We use the landslide inventory database provided by the United States Geological Survey. USGS maintains a database of landslide reports with approximate locations and times, but no images. This is the most extensive data of its kind. We extract satellite images from Google Earth by using this inventory.