Socioecologically informed use of remote sensing data to predict rural household poverty
Socioecologically informed use of remote sensing data to predict rural household poverty
Significance Understanding relationships between poverty and environment is crucial for sustainable development and ecological conservation. Annual monitoring of socioeconomic changes using household surveys is prohibitively expensive. Here, we demonstrate that satellite data predicted the poorest households in a landscape in Kenya with 62% accuracy. A multilevel socioecological treatment of satellite …