A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality

A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality

Several scientific processes benefit from Citizen Science (CitSci) and VGI (Volunteered Geographical Information) with the help of mobile and geospatial technologies. Studies on landslides can also take advantage of these approaches to a great extent. However, the quality of the collected data by bo...

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Bibliographic Details
Main Authors: Recep Can, Sultan Kocaman, Candan Gokceoglu
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
landslide
convolutional neural network
CitSci
VGI
data quality
Online Access:https://www.mdpi.com/2220-9964/8/7/300

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