Effect of spatial scale, color infrared and sample size on learning poverty from aerial images

Author:

Burger JoepORCID,Boonstra Harm Jan,van den Brakel Jan

Funder

Eurostat

Publisher

Elsevier BV

Reference26 articles.

1. Earth observation in service of the 2030 agenda for sustainable development;Anderson;Geo-spatial Inf. Sci.,2017

2. Predicting poverty and wealth from mobile phone metadata;Blumenstock;Science,2015

3. ConViT: Improving vision transformers with soft convolutional inductive biases;d’Ascoli;Jo. Statist. Mech.,2022

4. A spatial analysis of the relationship between vegetation and poverty;Dawson;ISPRS Int. J. Geo-Inf.,2018

5. What does classifying more than 10 000image categories tell us?;Deng,2010

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