Using satellite imagery to understand and promote sustainable development

M Burke, A Driscoll, DB Lobell, S Ermon - Science, 2021 - science.org
BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …

A review of explainable AI in the satellite data, deep machine learning, and human poverty domain

O Hall, M Ohlsson, T Rögnvaldsson - Patterns, 2022 - cell.com
Recent advances in artificial intelligence and deep machine learning have created a step
change in how to measure human development indicators, in particular asset-based …

Satellite imaging reveals increased proportion of population exposed to floods

B Tellman, JA Sullivan, C Kuhn, AJ Kettner, CS Doyle… - Nature, 2021 - nature.com
Flooding affects more people than any other environmental hazard and hinders sustainable
development,. Investing in flood adaptation strategies may reduce the loss of life and …

[HTML][HTML] An integrated global model of local urban development and population change

E Koomen, MS Van Bemmel, J Van Huijstee… - … , environment and urban …, 2023 - Elsevier
High resolution models are essential to assess the localised impacts of global
environmental change. To enable the estimation of the impacts of location-specific change …

[HTML][HTML] Estimating population and urban areas at risk of coastal hazards, 1990–2015: how data choices matter

K MacManus, D Balk, H Engin… - Earth System …, 2021 - essd.copernicus.org
The accurate estimation of population living in the low-elevation coastal zone (LECZ)–and at
heightened risk from sea level rise–is critically important for policymakers and risk managers …

The ratio of the land consumption rate to the population growth rate: A framework for the achievement of the spatiotemporal pattern in Poland and Lithuania

B Calka, A Orych, E Bielecka, S Mozuriunaite - Remote sensing, 2022 - mdpi.com
Indicator 11.3. 1 of the 2030 sustainable development goals (SDG) 11, ie, the ratio of the
land use to the population growth rate, is currently classified by the United Nations as a Tier …

Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa

F Hierink, G Boo, PM Macharia, PO Ouma… - Communications …, 2022 - nature.com
Background Access to healthcare is imperative to health equity and well-being. Geographic
access to healthcare can be modeled using spatial datasets on local context, together with …

[HTML][HTML] Majority of artificially lit Earth surface associated with the non-urban population

DTC Cox, AS de Miguel, J Bennie, SA Dzurjak… - Science of the Total …, 2022 - Elsevier
Key to understanding the negative impacts of artificial light at night (ALAN) on human health
and the natural environment is its relationship with human density. ALAN has often primarily …

Understanding dynamics of population flood exposure in Canada with multiple high-resolution population datasets

MP Mohanty, SP Simonovic - Science of The Total Environment, 2021 - Elsevier
In recent years, geospatial data (eg remote sensing imagery), and other relevant ancillary
datasets (eg land use land cover, climate conditions) have been utilized through …

Which gridded population data product is better? Evidences from mainland Southeast Asia (MSEA)

X Yin, P Li, Z Feng, Y Yang, Z You, C Xiao - ISPRS International Journal …, 2021 - mdpi.com
The release of global gridded population datasets, including the Gridded Population of the
World (GPW), Global Human Settlement Population Grid (GHS-POP), WorldPop, and …