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Socioecologically informed use of remote sensing data to predict rural household poverty

https://doi.org/10.1073/pnas.1812969116
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Review of the Sustainability Concept and the State of SDG Monitoring Using Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs13071301openalex-snapshot
Testing and Validating the Suitability of Geospatially Informed Proxies on Land Tenure in North Korea for Korean (Re-)Unification
inferred← citeshttps://doi.org/10.3390/rs13081528openalex-snapshot
Earth Observation for Sustainable Infrastructure: A Review
inferred← citeshttps://doi.org/10.3390/rs13163160openalex-snapshot
Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates
inferred← citeshttps://doi.org/10.3390/rs15051209openalex-snapshot
Potential of Using Night-Time Light to Proxy Social Indicators for Sustainable Development
inferred← citeshttps://doi.org/10.3390/socsci12050296openalex-snapshot
Predicting Multidimensional Poverty with Machine Learning Algorithms: An Open Data Source Approach Using Spatial Data
inferred← citeshttps://doi.org/10.3390/su11185062openalex-snapshot
Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators
inferred← citeshttps://doi.org/10.3390/su13169105openalex-snapshot
Earth Observation for Monitoring, Reporting, and Verification within Environmental Land Management Policy
inferred← citeshttps://doi.org/10.3390/su14031191openalex-snapshot
Using Data from Earth Observation to Support Sustainable Development Indicators: An Analysis of the Literature and Challenges for the Future
inferred← citeshttps://doi.org/10.3390/su14052497openalex-snapshot
The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals
inferred← citeshttps://doi.org/10.3390/su14073946openalex-snapshot
Spatial Analysis of Inequality in Thailand: Applications of Satellite Data and Spatial Statistics/Econometrics
inferred← citeshttps://doi.org/10.3390/su14095228openalex-snapshot
Poverty-Returning Risk Monitoring and Analysis of the Registered Poor Households Based on BP Neural Network and Natural Breaks: A Case Study of Yunyang District, Hubei Province
inferred← citeshttps://doi.org/10.3390/su14159570openalex-snapshot
Study on Rural Development Evaluation and Drivers of Sustainable Development: Evidence from the Beijing-Tianjin-Hebei Region of China
inferred← citeshttps://doi.org/10.3390/su17020539openalex-snapshot
Having Faith in the Sustainable Livelihood Approach: A Review
inferred← citeshttps://doi.org/10.48550/arxiv.2111.04724openalex-snapshot
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
inferred← citeshttps://doi.org/10.5038/2162-4593.22.1openalex-snapshot
inferred← citeshttps://doi.org/10.5038/2162-4593.22.1.1261openalex-snapshot
Participatory Mapping with High-resolution Satellite Imagery: A Mixed Method Assessment of Land Degradation and Rehabilitation in Northern Burkina Faso
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b4-2020-109-2020openalex-snapshot
SOCIOECONOMIC STATUS FROM SPACE: EXAMPLE OF ESTIMATING THAILAND’s SUB-DISTRICT HOUSEHOLD INCOME BASED ON REMOTELY SENSED AND GEOSPATIAL DATA
inferred← citeshttps://doi.org/10.5194/nhess-20-1149-2020openalex-snapshot
Invited perspectives: How machine learning will change flood risk and impact assessment
inferred← citeshttps://doi.org/10.5553/bo/221335502019000006001openalex-snapshot
Evaluatieonderzoek, Big Data en Artificiële Intelligentie: een verkenning
inferred← citeshttps://doi.org/10.5751/es-11842-250403openalex-snapshot
Pathways out of poverty through the lens of development resilience: an agent-based simulation
inferred← citeshttps://doi.org/10.59267/ekopolj2502425fopenalex-snapshot
THE RURAL POPULATION AND THE POVERTY THREAT
inferred← citeshttps://doi.org/10.6084/m9.figshare.12737255openalex-snapshot
Additional file 1 of Mapping socioeconomic indicators using social media advertising data
inferred← citeshttps://doi.org/10.71086/iajse/v11i1/iajse1108openalex-snapshot
Investigating the Potential of Remote Sensing for Sustainable Urban Renewal and Regeneration: A Review
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.