Combining satellite imagery and machine learning to predict poverty.
about
Water Quality Is a Poor Predictor of Recreational Hotspots in EnglandMapping poverty using mobile phone and satellite dataECONOMICS. Fighting poverty with data.Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning.Night-time lights: A global, long term look at links to socio-economic trendsLocal, national, and regional viral haemorrhagic fever pandemic potential in Africa: a multistage analysis.Combining disparate data sources for improved poverty prediction and mapping.Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.Towards Personal Exposures: How Technology Is Changing Air Pollution and Health Research.Farming and the geography of nutrient production for human use: a transdisciplinary analysis.Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.Localised estimates and spatial mapping of poverty incidence in the state of Bihar in India-An application of small area estimation techniques.Quantum Image Processing and Its Application to Edge Detection: Theory and ExperimentThe Material Stock–Flow–Service Nexus: A New Approach for Tackling the Decoupling ConundrumNighttime light data reveal how flood protection shapes human proximity to riversNighttime lights as a proxy for human development at the local levelThe role of artificial intelligence in achieving the Sustainable Development Goals
P2860
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P2860
Combining satellite imagery and machine learning to predict poverty.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Combining satellite imagery and machine learning to predict poverty.
@en
type
label
Combining satellite imagery and machine learning to predict poverty.
@en
prefLabel
Combining satellite imagery and machine learning to predict poverty.
@en
P50
P356
P1433
P1476
Combining satellite imagery and machine learning to predict poverty.
@en
P2093
Michael Xie
W Matthew Davis
P304
P356
10.1126/SCIENCE.AAF7894
P407
P577
2016-08-01T00:00:00Z