References
n.d.a. Cloud Optimized GeoTIFF. https://cogeo.org/.
———. n.d.b. Copernicus. https://www.copernicus.eu/en/access-data/conventional-data-access-hubs.
———. n.d.h. NASA. https://www.earthdata.nasa.gov/about/csda.
———. n.d.i. ESA. https://earth.esa.int/eogateway/missions/third-party-missions.
———. n.d.d. ESA. https://www.esa.int/Applications/Observing_the_Earth/Copernicus/The_Sentinel_missions.
———. n.d.e. Planet Labs. https://www.planet.com/products/satellite-monitoring/.
———. n.d.f. USGS. https://www.usgs.gov/landsat-missions/landsat-1.
———. n.d.g. WorldView. https://earth.esa.int/eogateway/missions/worldview-3.
Ahmad, Muhammad Nasar, Zhenfeng Shao, and Akib Javed. 2023.
“Mapping Impervious Surface Area Increase and Urban Pluvial
Flooding Using Sentinel Application Platform (SNAP) and Remote Sensing
Data.” Environmental Science and Pollution Research 30
(60): 125741–58. https://doi.org/10.1007/s11356-023-30990-y.
Akhyar, Akhyar, Mohd Asyraf Zulkifley, Jaesung Lee, Taekyung Song, Jaeho
Han, Chanhee Cho, Seunghyun Hyun, Youngdoo Son, and Byung-Woo Hong.
2024b. “Deep Artificial Intelligence Applications for Natural
Disaster Management Systems: A Methodological Review.”
Ecological Indicators 163 (June): 112067. https://doi.org/10.1016/j.ecolind.2024.112067.
———. 2024a. “Deep Artificial Intelligence Applications for Natural
Disaster Management Systems: A Methodological Review.”
Ecological Indicators 163 (June): 112067. https://doi.org/10.1016/j.ecolind.2024.112067.
Araújo, Leonardo D., Daniel C. Zanotta, Nicolas Ray, and Maurício R.
Veronez. 2024. “Earth Observation Data Uncover Green
Spaces’ Role in Mental Health.” Scientific
Reports 14 (1). https://doi.org/10.1038/s41598-024-72008-8.
Arribas-Bel, Daniel, Jorge E. Patino, and Juan C. Duque. 2017a.
“Remote Sensing-Based Measurement of Living Environment
Deprivation: Improving Classical Approaches with Machine
Learning.” PLOS ONE 12 (5): 1–25. https://doi.org/10.1371/journal.pone.0176684.
———. 2017b. “Remote Sensing-Based Measurement of Living
Environment Deprivation: Improving Classical Approaches with Machine
Learning.” Edited by Asim Zia. PLOS ONE 12 (5):
e0176684. https://doi.org/10.1371/journal.pone.0176684.
Avtar, Ram, Asma Kouser, Ashwani Kumar, Deepak Singh, Prakhar Misra,
Ankita Gupta, Ali P Yunus, et al. 2021. “Remote Sensing for
International Peace and Security: Its Role and Implications.”
Remote Sensing 13 (3): 439.
Ayala, Christian, Rubén Sesma, Carlos Aranda, and Mikel Galar. 2021.
“A Deep Learning Approach to an Enhanced Building Footprint and
Road Detection in High-Resolution Satellite Imagery.” Remote
Sensing 13 (16): 3135. https://doi.org/10.3390/rs13163135.
Barriga-Cabanillas, Oscar, Thomas Bossuroy, Paul Andres Corral Rodas,
Carlos Rodríguez-Castelán, and Emmanuel Skoufias. 2024. Sustaining
Poverty Gains: A Vulnerability Map to Guide the Expansion of Social
Registries. Washington, DC: World Bank. https://doi.org/10.1596/1813-9450-10890.
Belward, Alan S, and Jon O Skøien. 2015. “Who Launched What, When
and Why; Trends in Global Land-Cover Observation Capacity from Civilian
Earth Observation Satellites.” ISPRS Journal of
Photogrammetry and Remote Sensing 103: 115–28.
Bolch, T., A. Kulkarni, A. Kääb, C. Huggel, F. Paul, J. G. Cogley, H.
Frey, et al. 2012. “The State and Fate of Himalayan
Glaciers.” Science 336 (6079): 310–14. https://doi.org/10.1126/science.1215828.
Brown, Daniel G., Robert Walker, Steven Manson, and Karen Seto. 2012a.
“Modeling Land Use and Land Cover Change.” In, 395–409.
Springer Netherlands. https://doi.org/10.1007/978-1-4020-2562-4_23.
———. 2012b. “Modeling Land Use and Land Cover Change.” In,
395–409. Springer Netherlands. https://doi.org/10.1007/978-1-4020-2562-4_23.
Buscail, Camille, Erika Upegui, and Jean-François Viel. 2012.
“Mapping Heatwave Health Risk at the Community Level for Public
Health Action.” International Journal of Health
Geographics 11 (1). https://doi.org/10.1186/1476-072x-11-38.
Campbell, James B, and Randolph H Wynne. 2011. Introduction to
Remote Sensing. Guilford press.
Cao, Quoc Dung, and Youngjun Choe. 2023. “Posthurricane Damage
Assessment Using Satellite Imagery and Geolocation Features.”
Risk Analysis 44 (5): 1103–13. https://doi.org/10.1111/risa.14244.
Cardille, Jeffrey A, Morgan A Crowley, David Saah, and Nicholas E
Clinton. 2024. “Cloud-Based Remote Sensing with Google Earth
Engine: Fundamentals and Applications.” Springer Nature.
Cohen-Cline, Hannah, Eric Turkheimer, and Glen E Duncan. 2015.
“Access to Green Space, Physical Activity and Mental Health: A
Twin Study.” Journal of Epidemiology and Community
Health 69 (6): 523–29. https://doi.org/10.1136/jech-2014-204667.
Corral, Paul, Heath Henderson, and Sandra Segovia. 2025. “Poverty
Mapping in the Age of Machine Learning.” Journal of
Development Economics 172 (January): 103377. https://doi.org/10.1016/j.jdeveco.2024.103377.
Curzi, Giacomo, Dario Modenini, and Paolo Tortora. 2020. “Large
Constellations of Small Satellites: A Survey of Near Future Challenges
and Missions.” Aerospace 7 (9): 133.
Deilami, Kaveh, and Md Kamruzzaman. 2017. “Modelling the Urban
Heat Island Effect of Smart Growth Policy Scenarios in Brisbane.”
Land Use Policy 64: 38–55.
Donkelaar, Aaron van, Randall V. Martin, Chi Li, and Richard T. Burnett.
2019. “Regional Estimates of Chemical Composition of Fine
Particulate Matter Using a Combined Geoscience-Statistical Method with
Information from Satellites, Models, and Monitors.”
Environmental Science & Technology 53 (5): 2595–2611. https://doi.org/10.1021/acs.est.8b06392.
Drusch, Matthias, Umberto Del Bello, Sébastien Carlier, Olivier Colin,
Veronica Fernandez, Ferran Gascon, Bianca Hoersch, et al. 2012.
“Sentinel-2: ESA’s Optical High-Resolution Mission for GMES
Operational Services.” Remote Sensing of Environment
120: 25–36.
Ferretti, Alessandro, Claudio Prati, and Fabio Rocca. 2002.
“Permanent Scatterers in SAR Interferometry.” IEEE
Transactions on Geoscience and Remote Sensing 39 (1): 8–20.
Friedrich, H. K., B. Tellman, J. A. Sullivan, A. Saunders, A. A.
Zuniga-Teran, L. A. Bakkensen, M. Cawley, et al. 2024. “Earth
Observation to Address Inequities in Post-Flood
Recovery.” Earth’s Future 12 (2). https://doi.org/10.1029/2023ef003606.
Funk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James
Verdin, Shraddhanand Shukla, Gregory Husak, et al. 2015. “The
Climate Hazards Infrared Precipitation with Stationsa New
Environmental Record for Monitoring Extremes.” Scientific
Data 2 (1). https://doi.org/10.1038/sdata.2015.66.
Geary, Rebecca S, Rebecca Geary, Daniel A Thompson, Daniel Thompson,
Joanne K Garrett, Joanne Garrett, Amy Mizen, et al. 2023. “Green
Blue Space Exposure Changes and Impact on Individual-Level Well-Being
and Mental Health: A Population-Wide Dynamic Longitudinal Panel Study
with Linked Survey Data.” Public Health Research 11
(10): 1–176.
Goetz, Alexander FH. 2009. “Three Decades of Hyperspectral Remote
Sensing of the Earth: A Personal View.” Remote Sensing of
Environment 113: S5–16.
Gorelick, Noel, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David
Thau, and Rebecca Moore. 2017a. “Google Earth Engine:
Planetary-Scale Geospatial Analysis for Everyone.” Remote
Sensing of Environment 202: 18–27.
———. 2017b. “Google Earth Engine: Planetary-Scale Geospatial
Analysis for Everyone.” Remote Sensing of Environment
202 (December): 18–27. https://doi.org/10.1016/j.rse.2017.06.031.
Guida, Emilio. 2021. “The Use of Satellites in Humanitarian
Contexts.”
Guo, Huadong. 2024. “SDG 11, Sustainable Cities and
Communities.” In, 87–119. Springer Nature Singapore. https://doi.org/10.1007/978-981-97-3278-4_5.
Harris, Ray, and Ingo Baumann. 2015. “Open Data Policies and
Satellite Earth Observation.” Space Policy 32: 44–53.
Henderson, J. Vernon, Adam Storeygard, and David N Weil. 2012a.
“Measuring Economic Growth from Outer Space.” American
Economic Review 102 (2): 994–1028. https://doi.org/10.1257/aer.102.2.994.
———. 2012b. “Measuring Economic Growth from Outer Space.”
American Economic Review 102 (2): 994–1028. https://doi.org/10.1257/aer.102.2.994.
Hsu, Angel, Glenn Sheriff, Tirthankar Chakraborty, and Diego Manya.
2021. “Disproportionate Exposure to Urban Heat Island Intensity
Across Major US Cities.” Nature Communications 12 (1).
https://doi.org/10.1038/s41467-021-22799-5.
Imhoff, Marc L., Ping Zhang, Robert E. Wolfe, and Lahouari Bounoua.
2010. “Remote Sensing of the Urban Heat Island Effect Across
Biomes in the Continental USA.” Remote Sensing of
Environment 114 (3): 504–13. https://doi.org/10.1016/j.rse.2009.10.008.
Jacobsen, Annika, Ricardo de Miranda Azevedo, Nick Juty, Dominique
Batista, Simon Coles, Ronald Cornet, Mélanie Courtot, et al. 2020.
“FAIR Principles: Interpretations and Implementation
Considerations.” Data Intelligence 2 (1-2): 10–29. https://doi.org/10.1162/dint_r_00024.
James, Peter, Jaime E. Hart, Rachel F. Banay, and Francine Laden. 2016.
“Exposure to Greenness and Mortality in a Nationwide Prospective
Cohort Study of Women.” Environmental Health
Perspectives 124 (9): 1344–52. https://doi.org/10.1289/ehp.1510363.
Jean, Neal, Marshall Burke, Michael Xie, W. Matthew Davis, David B.
Lobell, and Stefano Ermon. 2016. “Combining Satellite Imagery and
Machine Learning to Predict Poverty.” Science 353
(6301): 790–94. https://doi.org/10.1126/science.aaf7894.
Jensen, John R. 2009. Remote Sensing of the Environment: An Earth
Resource Perspective 2/e. Pearson Education India.
Jesdale, Bill M., Rachel Morello-Frosch, and Lara Cushing. 2013.
“The Racial/Ethnic Distribution of Heat RiskRelated
Land Cover in Relation to Residential Segregation.”
Environmental Health Perspectives 121 (7): 811–17. https://doi.org/10.1289/ehp.1205919.
Johnson, Daniel P, Jeffrey S Wilson, and George C Luber. 2009.
“Socioeconomic Indicators of Heat-Related Health Risk Supplemented
with Remotely Sensed Data.” International Journal of Health
Geographics 8 (1): 57. https://doi.org/10.1186/1476-072x-8-57.
Kim, Kyeezu, Brian T. Joyce, Drew R. Nannini, Yinan Zheng, Penny
Gordon-Larsen, James M. Shikany, Donald M. Lloyd-Jones, et al. 2023.
“Inequalities in Urban Greenness and Epigenetic Aging: Different
Associations by Race and Neighborhood Socioeconomic Status.”
Science Advances 9 (26). https://doi.org/10.1126/sciadv.adf8140.
Kim, Young-Ju. 2024. “Commercial Use of Satellite Remote Sensing
Data and Civil Liability.” Laws 13 (6): 77.
Klein, Richard JT, GF Midglev, BL Preston, M Alam, FGH Berkhout, K Dow,
and MR Shaw. 2014. “Climate Change 2014: Impacts, Adaptation, and
Vulnerability.” IPCC Fifth Assessment Report, Stockholm,
Sweden.
Kuffer, Monika, Karin Pfeffer, Richard Sliuzas, Isa Baud, and Martin
Maarseveen. 2017. “Capturing the Diversity of Deprived Areas with
Image-Based Features: The Case of Mumbai.” Remote
Sensing 9 (4): 384. https://doi.org/10.3390/rs9040384.
Kugler, Tracy A., Kathryn Grace, David J. Wrathall, Alex de Sherbinin,
David Van Riper, Christoph Aubrecht, Douglas Comer, et al. 2019.
“People and Pixels 20 Years Later: The Current Data Landscape and
Research Trends Blending Population and Environmental Data.”
Population and Environment 41 (2): 209–34. https://doi.org/10.1007/s11111-019-00326-5.
Le Cozannet, Gonéri, Manuel Garcin, Marissa Yates, Déborah Idier, and
Benoit Meyssignac. 2014. “Approaches to Evaluate the Recent
Impacts of Sea-Level Rise on Shoreline Changes.”
Earth-Science Reviews 138 (November): 47–60. https://doi.org/10.1016/j.earscirev.2014.08.005.
Li, Ziming, Qinchuan Xin, Ying Sun, and Mengying Cao. 2021. “A
Deep Learning-Based Framework for Automated Extraction of Building
Footprint Polygons from Very High-Resolution Aerial Imagery.”
Remote Sensing 13 (18): 3630. https://doi.org/10.3390/rs13183630.
Liu, Ruyi, Junhong Wu, Wenyi Lu, Qiguang Miao, Huan Zhang, Xiangzeng
Liu, Zixiang Lu, and Long Li. 2024. “A Review of Deep
Learning-Based Methods for Road Extraction from High-Resolution Remote
Sensing Images.” Remote Sensing 16 (12): 2056. https://doi.org/10.3390/rs16122056.
Lowndes, Julia S Stewart, Benjamin D Best, Courtney Scarborough, Jamie C
Afflerbach, Melanie R Frazier, Casey C O’hara, Ning Jiang, and Benjamin
S Halpern. 2017. “Our Path to Better Science in Less Time Using
Open Data Science Tools.” Nature Ecology & Evolution
1 (6): 0160.
Mahabir, Ron, Arie Croitoru, Andrew Crooks, Peggy Agouris, and Anthony
Stefanidis. 2018. “A Critical Review of High and Very
High-Resolution Remote Sensing Approaches for Detecting and Mapping
Slums: Trends, Challenges and Emerging Opportunities.” Urban
Science 2 (1): 8. https://doi.org/10.3390/urbansci2010008.
Massaro, Emanuele, Rossano Schifanella, Matteo Piccardo, Luca Caporaso,
Hannes Taubenböck, Alessandro Cescatti, and Gregory Duveiller. 2023.
“Spatially-Optimized Urban Greening for Reduction of Population
Exposure to Land Surface Temperature Extremes.” Nature
Communications 14 (1). https://doi.org/10.1038/s41467-023-38596-1.
Mateo-Garcia, Gonzalo, Joshua Veitch-Michaelis, Lewis Smith, Silviu Vlad
Oprea, Guy Schumann, Yarin Gal, Atılım Güneş Baydin, and Dietmar Backes.
2021. “Towards Global Flood Mapping Onboard Low Cost Satellites
with Machine Learning.” Scientific Reports 11 (1). https://doi.org/10.1038/s41598-021-86650-z.
Metzler, A. Barbara, Ricky Nathvani, Viktoriia Sharmanska, Wenjia Bai,
Emily Muller, Simon Moulds, Charles Agyei-Asabere, et al. 2023.
“Phenotyping Urban Built and Natural Environments with
High-Resolution Satellite Images and Unsupervised Deep Learning.”
Science of The Total Environment 893 (October): 164794. https://doi.org/10.1016/j.scitotenv.2023.164794.
Mutanga, Onisimo, and Lalit Kumar. 2019. “Google Earth Engine
Applications.” Remote Sensing. MDPI.
OECD. 2025. Place-Based Policies for the Future. OECD Regional
Development Studies. Paris: OECD Publishing. https://doi.org/10.1787/e5ff6716-en.
Ölçer, Naim, Didem Ölçer, and Emre Sümer. 2023. “Roof Type
Classification with Innovative Machine Learning Approaches.”
PeerJ Computer Science 9 (January): e1217. https://doi.org/10.7717/peerj-cs.1217.
People and Pixels. 1998a. National Academies Press. https://doi.org/10.17226/5963.
———. 1998b. National Academies Press. https://doi.org/10.17226/5963.
Persello, Claudio, Jan Dirk Wegner, Ronny Hansch, Devis Tuia, Pedram
Ghamisi, Mila Koeva, and Gustau Camps-Valls. 2022. “Deep Learning
and Earth Observation to Support the Sustainable Development Goals:
Current Approaches, Open Challenges, and Future Opportunities.”
IEEE Geoscience and Remote Sensing Magazine 10 (2): 172–200. https://doi.org/10.1109/mgrs.2021.3136100.
Pickell, Paul D., Nicholas C. Coops, Colin J. Ferster, Christopher W.
Bater, Karen D. Blouin, Mike D. Flannigan, and Jinkai Zhang. 2017.
“An Early Warning System to Forecast the Close of the Spring
Burning Window from Satellite-Observed Greenness.” Scientific
Reports 7 (1). https://doi.org/10.1038/s41598-017-14730-0.
Pinkovskiy, Maxim, and Xavier Sala-i-Martin. 2014. “Africa Is on
Time.” Journal of Economic Growth 19 (3): 311–38. https://doi.org/10.1007/s10887-014-9103-y.
———. 2016. “Lights, Camera … Income! Illuminating the
National Accounts-Household Surveys Debate *.” The Quarterly
Journal of Economics 131 (2): 579–631. https://doi.org/10.1093/qje/qjw003.
Ramdani, Fatwa. 2024. “A Very High-Resolution Urban Green Space
from the Fusion of Microsatellite, SAR, and MSI Images.”
Remote Sensing 16 (8): 1366.
Richards, John A, John A Richards, et al. 2022. Remote Sensing
Digital Image Analysis. Vol. 5. Springer.
Rowe, Francisco, Caitlin Robinson, and Nikos Patias. 2022.
“Sensing Global Changes in Local Patterns of Energy Consumption in
Cities During the Early Stages of the COVID-19 Pandemic.”
Cities 129 (October): 103808. https://doi.org/10.1016/j.cities.2022.103808.
Roy, David P, Michael A Wulder, Thomas R Loveland, Curtis E Woodcock,
Richard G Allen, Martha C Anderson, Dennis Helder, et al. 2014.
“Landsat-8: Science and Product Vision for Terrestrial Global
Change Research.” Remote Sensing of Environment 145:
154–72.
Rugel, Emily J., Sarah B. Henderson, Richard M. Carpiano, and Michael
Brauer. 2017. “Beyond the Normalized Difference Vegetation Index
(NDVI): Developing a Natural Space Index for Population-Level Health
Research.” Environmental Research 159 (November):
474–83. https://doi.org/10.1016/j.envres.2017.08.033.
Sarkar, Chinmoy, Chris Webster, and John Gallacher. 2018.
“Residential Greenness and Prevalence of Major Depressive
Disorders: A Cross-Sectional, Observational, Associational Study of
94879 Adult UK Biobank Participants.” The Lancet
Planetary Health 2 (4): e162–73. https://doi.org/10.1016/s2542-5196(18)30051-2.
Schmidt, Sebastian, Monika Friedemann, David Hanny, Bernd Resch, Torsten
Riedlinger, and Martin Mühlbauer. 2025. “Enhancing Satellite-Based
Emergency Mapping: Identifying Wildfires Through Geo-Social Media
Analysis.” Big Earth Data 9 (3): 389–411. https://doi.org/10.1080/20964471.2025.2454526.
Seto, Karen C., Burak Güneralp, and Lucy R. Hutyra. 2012. “Global
Forecasts of Urban Expansion to 2030 and Direct Impacts on Biodiversity
and Carbon Pools.” Proceedings of the National Academy of
Sciences 109 (40): 16083–88. https://doi.org/10.1073/pnas.1211658109.
Shafapourtehrany, Mahyat, Fatemeh Rezaie, Changhyun Jun, Essam Heggy,
Sayed M. Bateni, Mahdi Panahi, Haluk Özener, Farzin Shabani, and
Hamidreza Moeini. 2023a. “Mapping Post-Earthquake Landslide
Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic
Algorithms.” Remote Sensing 15 (18): 4501. https://doi.org/10.3390/rs15184501.
———. 2023b. “Mapping Post-Earthquake Landslide Susceptibility
Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms.”
Remote Sensing 15 (18): 4501. https://doi.org/10.3390/rs15184501.
Sherbinin, Alex de, Deborah Balk, Kirsten Yager, Malanding Jaiteh,
Francesca Pozzi, Chandra Giri, and Arne Wannebo. 2002. “A CIESIN
Thematic Guide to Social Science Applications of Remote Sensing.”
Palisades, NY: Center for International Earth Science Information
Network (CIESIN), Columbia University. https://ciesin.columbia.edu/publications.html.
Singleton, Alex, Dani Arribas-Bel, John Murray, and Martin Fleischmann.
2022. “Estimating Generalized Measures of Local Neighbourhood
Context from Multispectral Satellite Images Using a Convolutional Neural
Network.” Computers, Environment and Urban Systems 95
(July): 101802. https://doi.org/10.1016/j.compenvurbsys.2022.101802.
Smythe, Isabella S., and Joshua E. Blumenstock. 2022b. “Geographic
Microtargeting of Social Assistance with High-Resolution Poverty
Maps.” Proceedings of the National Academy of Sciences
119 (32). https://doi.org/10.1073/pnas.2120025119.
———. 2022a. “Geographic Microtargeting of Social Assistance with
High-Resolution Poverty Maps.” Proceedings of the National
Academy of Sciences 119 (32). https://doi.org/10.1073/pnas.2120025119.
Sorichetta, Alessandro, Graeme M. Hornby, Forrest R. Stevens, Andrea E.
Gaughan, Catherine Linard, and Andrew J. Tatem. 2015.
“High-Resolution Gridded Population Datasets for Latin America and
the Caribbean in 2010, 2015, and 2020.” Scientific Data
2 (1). https://doi.org/10.1038/sdata.2015.45.
Soto, Juan, Francisco Rowe, and Guillermo Soto. 2025. “How Do
Local Labor Markets Look from Above? An Automated Satellite-Imagery
Approach.” http://dx.doi.org/10.2139/ssrn.5351760.
Su, Jason G., Payam Dadvand, Mark J. Nieuwenhuijsen, Xavier Bartoll, and
Michael Jerrett. 2019. “Associations of Green Space Metrics with
Health and Behavior Outcomes at Different Buffer Sizes and Remote
Sensing Sensor Resolutions.” Environment International
126 (May): 162–70. https://doi.org/10.1016/j.envint.2019.02.008.
Survey, USGS - U. S. Geological. n.d. EarthExplorer. https://earthexplorer.usgs.gov/.
Sweeting, Martin N. 2018. “Modern Small Satellites-Changing the
Economics of Space.” Proceedings of the IEEE 106 (3):
343–61.
Tebaldini, Stefano, Marco Manzoni, Dario Tagliaferri, Marco Rizzi,
Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Umberto
Spagnolini, Monica Nicoli, Ivan Russo, and Christian Mazzucco. 2022.
“Sensing the Urban Environment by Automotive SAR Imaging:
Potentials and Challenges.” Remote Sensing 14 (15):
3602. https://doi.org/10.3390/rs14153602.
Thatcher, Jim, David O’Sullivan, and Dillon Mahmoudi. 2016. “Data
Colonialism Through Accumulation by Dispossession: New Metaphors for
Daily Data.” Environment and Planning D: Society and
Space 34 (6): 990–1006.
Tokarczyk, P., J. P. Leitao, J. Rieckermann, K. Schindler, and F.
Blumensaat. 2015. “High-Quality Observation of Surface
Imperviousness for Urban Runoff Modelling Using UAV Imagery.”
Hydrology and Earth System Sciences 19 (10): 4215–28. https://doi.org/10.5194/hess-19-4215-2015.
Twohig-Bennett, Caoimhe, and Andy Jones. 2018. “The Health
Benefits of the Great Outdoors: A Systematic Review and Meta-Analysis of
Greenspace Exposure and Health Outcomes.” Environmental
Research 166 (October): 628–37. https://doi.org/10.1016/j.envres.2018.06.030.
Undseth, Marit, Claire Jolly, and Mattia Olivari. 2021. “Evolving
Public-Private Relations in the Space Sector.” OECD Science,
Technology and Industry Policy Papers.
United Nations Office for Outer Space Affairs (UNOOSA). 2023. “Our
Common Agenda Policy Brief 7: For All Humanity – the Future of Outer
Space Governance.” https://www.unoosa.org/res/oosadoc/data/documents/2023/a77/a77crp_1add_6_0_html/our-common-agenda-policy-brief-outer-space-en.pdf.
Voelkel, Jackson, Dana Hellman, Ryu Sakuma, and Vivek Shandas. 2018.
“Assessing Vulnerability to Urban Heat: A Study of
Disproportionate Heat Exposure and Access to Refuge by Socio-Demographic
Status in Portland, Oregon.” International Journal of
Environmental Research and Public Health 15 (4): 640. https://doi.org/10.3390/ijerph15040640.
Watt, Michael S., Shana Gross, John Keithley Difuntorum, Jessica L.
McCarty, H. Grant Pearce, Jacquelyn K. Shuman, and Marta Yebra. 2025.
“Monitoring Wildfire Risk with a Near-Real-Time Live Fuel Moisture
Content System: A Review and Roadmap for Operational Application in New
Zealand.” Remote Sensing 17 (21): 3580. https://doi.org/10.3390/rs17213580.
Weigand, Matthias, Michael Wurm, Stefan Dech, and Hannes Taubenböck.
2019. “Remote Sensing in Environmental Justice
ResearchA Review.” ISPRS International Journal
of Geo-Information 8 (1): 20. https://doi.org/10.3390/ijgi8010020.
Wulder, Michael A, Thomas R Loveland, David P Roy, Christopher J
Crawford, Jeffrey G Masek, Curtis E Woodcock, Richard G Allen, et al.
2019. “Current Status of Landsat Program, Science, and
Applications.” Remote Sensing of Environment 225:
127–47.
Wulder, Michael A, Jeffrey G Masek, Warren B Cohen, Thomas R Loveland,
and Curtis E Woodcock. 2012. “Opening the Archive: How Free Data
Has Enabled the Science and Monitoring Promise of Landsat.”
Remote Sensing of Environment 122: 2–10.
Xi, Yanxin, Yu Liu, Tong Li, Jingtao Ding, Yunke Zhang, Sasu Tarkoma,
Yong Li, and Pan Hui. 2023. “A Satellite Imagery Dataset for
Long-Term Sustainable Development in United States Cities.”
Scientific Data 10 (1). https://doi.org/10.1038/s41597-023-02576-3.
Yao, Liwei, Mingjie Xu, Yihui Liu, Ruiqing Niu, Xueling Wu, and Yingxu
Song. 2024. “Estimating of Heavy Metal Concentration in
Agricultural Soils from Hyperspectral Satellite Sensor Imagery:
Considering the Sources and Migration Pathways of Pollutants.”
Ecological Indicators 158: 111416.
Yeh, Christopher, Anthony Perez, Anne Driscoll, George Azzari, Zhongyi
Tang, David Lobell, Stefano Ermon, and Marshall Burke. 2020.
“Using Publicly Available Satellite Imagery and Deep Learning to
Understand Economic Well-Being in Africa.” Nature
Communications 11 (1). https://doi.org/10.1038/s41467-020-16185-w.
Zhao, Lei, Xuhui Lee, Ronald B. Smith, and Keith Oleson. 2014.
“Strong Contributions of Local Background Climate to Urban Heat
Islands.” Nature 511 (7508): 216–19. https://doi.org/10.1038/nature13462.
Zhao, Lili, Xuncheng Fan, and Tao Hong. 2025. “Urban Heat Island
Effect: Remote Sensing Monitoring and AssessmentMethods,
Applications, and Future Directions.” Atmosphere 16 (7):
791. https://doi.org/10.3390/atmos16070791.
Zhao, Qiang, and Le Yu. 2025. “Advancing Sustainable Development
Goals Through Earth Observation Satellite Data: Current Insights and
Future Directions.” Journal of Remote Sensing 5
(January). https://doi.org/10.34133/remotesensing.0403.
Zhao, Qiang, Le Yu, Xuecao Li, Dailiang Peng, Yongguang Zhang, and Peng
Gong. 2021. “Progress and Trends in the Application of Google
Earth and Google Earth Engine.” Remote Sensing 13 (18):
3778.