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Erschienen in: Population and Environment 2/2019

22.11.2019 | Original paper

People and Pixels 20 years later: the current data landscape and research trends blending population and environmental data

verfasst von: Tracy A. Kugler, Kathryn Grace, David J. Wrathall, Alex de Sherbinin, David Van Riper, Christoph Aubrecht, Douglas Comer, Susana B. Adamo, Guido Cervone, Ryan Engstrom, Carolynne Hultquist, Andrea E. Gaughan, Catherine Linard, Emilio Moran, Forrest Stevens, Andrew J. Tatem, Beth Tellman, Jamon Van Den Hoek

Erschienen in: Population and Environment | Ausgabe 2/2019

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Abstract

In 1998, the National Research Council published People and Pixels: Linking Remote Sensing and Social Science. The volume focused on emerging research linking changes in human populations and land use/land cover to shed light on issues of sustainability, human livelihoods, and conservation, and led to practical innovations in agricultural planning, hazard impact analysis, and drought monitoring. Since then, new research opportunities have emerged thanks to the growing variety of remotely sensed data sources, an increasing array of georeferenced social science data, including data from mobile devices, and access to powerful computation cyberinfrastructure. In this article, we outline the key extensions of the People and Pixels foundation since 1998 and highlight several breakthroughs in research on human–environment interactions. We also identify pressing research problems—disaster, famine, drought, war, poverty, climate change—and explore how interdisciplinary approaches integrating people and pixels are being used to address them.

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1
The POPGRID Data Collaborative, a consortium of the major gridded population and settlement data producers, was established to aid users in making these assessments. The POPGRID website (www.popgrid.org) includes data documentation, tables comparing data products, and a web map service that facilitates visualization and comparison across data products.
 
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Zurück zum Zitat Geddes, J. A., Martin, R. V., Boys, B. L., & van Donkelaar, A. (2017). Global 3-year running mean ground-level nitrogen dioxide (NO2) grids from GOME, SCIMACHY and GOME-2. Palisades: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4JW8BTT.CrossRef Geddes, J. A., Martin, R. V., Boys, B. L., & van Donkelaar, A. (2017). Global 3-year running mean ground-level nitrogen dioxide (NO2) grids from GOME, SCIMACHY and GOME-2. Palisades: NASA Socioeconomic Data and Applications Center (SEDAC). https://​doi.​org/​10.​7927/​H4JW8BTT.CrossRef
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Zurück zum Zitat Gibbs, H. K., Ruesch, A. S., Achard, F., Clayton, M. K., Holmgren, P., Ramankutty, N., & Foley, J. A. (2010). Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s. Proceedings of the National Academy of Sciences, 107(38), 16732–16737. Gibbs, H. K., Ruesch, A. S., Achard, F., Clayton, M. K., Holmgren, P., Ramankutty, N., & Foley, J. A. (2010). Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s. Proceedings of the National Academy of Sciences, 107(38), 16732–16737.
Zurück zum Zitat Gómez Giménez, M., de Jong, R., Della Peruta, R., Keller, A., & Schaepman, M. E. (2017). Determination of grassland use intensity based on multi-temporal remote sensing data and ecological indicators. Remote Sensing of Environment, 198, 126–139. Gómez Giménez, M., de Jong, R., Della Peruta, R., Keller, A., & Schaepman, M. E. (2017). Determination of grassland use intensity based on multi-temporal remote sensing data and ecological indicators. Remote Sensing of Environment, 198, 126–139.
Zurück zum Zitat Goodhand, J. (2004). From war economy to peace economy? Reconstruction and state building in Afghanistan. Journal of International Affairs, 58(1), 155–174. Goodhand, J. (2004). From war economy to peace economy? Reconstruction and state building in Afghanistan. Journal of International Affairs, 58(1), 155–174.
Zurück zum Zitat Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27.
Zurück zum Zitat Grace, K., Davenport, F., Funk, C., & Lerner, A. M. (2012). Child malnutrition and climate in sub-Saharan Africa: an analysis of recent trends in Kenya. Applied Geography, 35(1–2), 405–413. Grace, K., Davenport, F., Funk, C., & Lerner, A. M. (2012). Child malnutrition and climate in sub-Saharan Africa: an analysis of recent trends in Kenya. Applied Geography, 35(1–2), 405–413.
Zurück zum Zitat Grandia, L. (2013). Road mapping: megaprojects and land grabs in the northern Guatemalan lowlands. Development and Change, 44(2), 233–259. Grandia, L. (2013). Road mapping: megaprojects and land grabs in the northern Guatemalan lowlands. Development and Change, 44(2), 233–259.
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Zurück zum Zitat Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A. A., Tyukavina, A., et al. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850–853. Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A. A., Tyukavina, A., et al. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850–853.
Zurück zum Zitat Hansen, M. C., Krylov, A., Tyukavina, A., Potapov, P. V., Turubanova, S., Zutta, B., et al. (2016). Humid tropical forest disturbance alerts using Landsat data. Environmental Research Letters, 11(3), 034008. Hansen, M. C., Krylov, A., Tyukavina, A., Potapov, P. V., Turubanova, S., Zutta, B., et al. (2016). Humid tropical forest disturbance alerts using Landsat data. Environmental Research Letters, 11(3), 034008.
Zurück zum Zitat Hantson, S., Pueyo, S., & Chuvieco, E. (2015). Global fire size distribution is driven by human impact and climate. Global Ecology and Biogeography, 24(1), 77–86. Hantson, S., Pueyo, S., & Chuvieco, E. (2015). Global fire size distribution is driven by human impact and climate. Global Ecology and Biogeography, 24(1), 77–86.
Zurück zum Zitat Harris, I. P. D. J., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 dataset. International Journal of Climatology, 34(3), 623–642. Harris, I. P. D. J., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 dataset. International Journal of Climatology, 34(3), 623–642.
Zurück zum Zitat Hegre, H. (2004). The duration and termination of civil war. Journal of Peace Research, 41(3), 243–252. Hegre, H. (2004). The duration and termination of civil war. Journal of Peace Research, 41(3), 243–252.
Zurück zum Zitat Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring economic growth from outer space. The American Economic Review, 102(2), 994–1028. Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring economic growth from outer space. The American Economic Review, 102(2), 994–1028.
Zurück zum Zitat Herold, M., Liu, X., & Clarke, K. C. (2003). Spatial metrics and image texture for mapping urban land use. Photogrammetric Engineering and Remote Sensing, 69(9), 991–1001. Herold, M., Liu, X., & Clarke, K. C. (2003). Spatial metrics and image texture for mapping urban land use. Photogrammetric Engineering and Remote Sensing, 69(9), 991–1001.
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Zurück zum Zitat Horanont, T., Witayangkurn, A., Sekimoto, Y., & Shibasaki, R. (2013). Large-scale auto-GPS analysis for discerning behavior change during crisis. IEEE Intelligent Systems, 28(4), 26–34. Horanont, T., Witayangkurn, A., Sekimoto, Y., & Shibasaki, R. (2013). Large-scale auto-GPS analysis for discerning behavior change during crisis. IEEE Intelligent Systems, 28(4), 26–34.
Zurück zum Zitat Hultquist, C., & Cervone, G. (2018). Citizen monitoring during hazards: validation of Fukushima radiation measurements. GeoJournal, 83(2), 189–206. Hultquist, C., & Cervone, G. (2018). Citizen monitoring during hazards: validation of Fukushima radiation measurements. GeoJournal, 83(2), 189–206.
Zurück zum Zitat Isen, A., Rossin-Slater, M., & Walker, R. (2017). Relationship between season of birth, temperature exposure, and later life wellbeing. Proceedings of the National Academy of Sciences, 114(51), 13447–13452. Isen, A., Rossin-Slater, M., & Walker, R. (2017). Relationship between season of birth, temperature exposure, and later life wellbeing. Proceedings of the National Academy of Sciences, 114(51), 13447–13452.
Zurück zum Zitat Jain, M., Srivastava, A., Joon, R., McDonald, A., Royal, K., Lisaius, M., & Lobell, D. (2016). Mapping smallholder wheat yields and sowing dates using micro-satellite data. Remote Sensing, 8(10), 860. Jain, M., Srivastava, A., Joon, R., McDonald, A., Royal, K., Lisaius, M., & Lobell, D. (2016). Mapping smallholder wheat yields and sowing dates using micro-satellite data. Remote Sensing, 8(10), 860.
Zurück zum Zitat Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790–794. Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790–794.
Zurück zum Zitat Johnson, K., & Brown, M. E. (2014). Environmental risk factors and child nutritional status and survival in a context of climate variability and change. Applied Geography, 54, 209–221. Johnson, K., & Brown, M. E. (2014). Environmental risk factors and child nutritional status and survival in a context of climate variability and change. Applied Geography, 54, 209–221.
Zurück zum Zitat Kohli, D., Stein, A., & Sliuzas, R. (2016). Uncertainty analysis for image interpretations of urban slums. Computers, Environment and Urban Systems, 60, 37–49. Kohli, D., Stein, A., & Sliuzas, R. (2016). Uncertainty analysis for image interpretations of urban slums. Computers, Environment and Urban Systems, 60, 37–49.
Zurück zum Zitat Kugler, T. A., Van Riper, D. C., Manson, S. M., Haynes, D. A., II, Donato, J., & Stinebaugh, K. (2015). Terra Populus: workflows for integrating and harmonizing geospatial population and environmental data. Journal of Map & Geography Libraries, 11(2), 180–206. Kugler, T. A., Van Riper, D. C., Manson, S. M., Haynes, D. A., II, Donato, J., & Stinebaugh, K. (2015). Terra Populus: workflows for integrating and harmonizing geospatial population and environmental data. Journal of Map & Geography Libraries, 11(2), 180–206.
Zurück zum Zitat Kuffer, M., Pfeffer, K., & Sliuzas, R. (2016). Slums from space—15 years of slum mapping using remote sensing. Remote Sensing, 8(6), 455. Kuffer, M., Pfeffer, K., & Sliuzas, R. (2016). Slums from space—15 years of slum mapping using remote sensing. Remote Sensing, 8(6), 455.
Zurück zum Zitat Leyk, S., Gaughan, A. E., Adamo, S. B., de Sherbinin, A., Balk, D., Freire, S., et al. (2019). Allocating people to pixels: a review of large-scale gridded population data products and their fitness for use. Earth System Science Data Discussions. https://doi.org/10.5194/essd-2019-82. Leyk, S., Gaughan, A. E., Adamo, S. B., de Sherbinin, A., Balk, D., Freire, S., et al. (2019). Allocating people to pixels: a review of large-scale gridded population data products and their fitness for use. Earth System Science Data Discussions. https://​doi.​org/​10.​5194/​essd-2019-82.
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Zurück zum Zitat Long, J. A., & Nelson, T. A. (2013). A review of quantitative methods for movement data. International Journal of Geographical Information Science, 27(2), 292–318. Long, J. A., & Nelson, T. A. (2013). A review of quantitative methods for movement data. International Journal of Geographical Information Science, 27(2), 292–318.
Zurück zum Zitat Lu, X., Wrathall, D. J., Sundsøy, P. R., Nadiruzzaman, M., Wetter, E., Iqbal, A., et al. (2016a). Unveiling hidden migration and mobility patterns in climate stressed regions: a longitudinal study of six million anonymous mobile phone users in Bangladesh. Global Environmental Change, 38, 1–7. Lu, X., Wrathall, D. J., Sundsøy, P. R., Nadiruzzaman, M., Wetter, E., Iqbal, A., et al. (2016a). Unveiling hidden migration and mobility patterns in climate stressed regions: a longitudinal study of six million anonymous mobile phone users in Bangladesh. Global Environmental Change, 38, 1–7.
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Zurück zum Zitat Maxwell, A. E., Warner, T. A., & Fang, F. (2018). Implementation of machine-learning classification in remote sensing: an applied review. International Journal of Remote Sensing, 39(9), 2784–2817. Maxwell, A. E., Warner, T. A., & Fang, F. (2018). Implementation of machine-learning classification in remote sensing: an applied review. International Journal of Remote Sensing, 39(9), 2784–2817.
Zurück zum Zitat Maxwell, S. K., Meliker, J. R., & Goovaerts, P. (2010). Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research. Journal of Exposure Science & Environmental Epidemiology, 20(2), 176. Maxwell, S. K., Meliker, J. R., & Goovaerts, P. (2010). Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research. Journal of Exposure Science & Environmental Epidemiology, 20(2), 176.
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Zurück zum Zitat Monfreda, C., Ramankutty, N., & Foley, J. A. (2008). Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochemical Cycles, 22(1). https://doi.org/10.1029/2007GB002947. Monfreda, C., Ramankutty, N., & Foley, J. A. (2008). Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochemical Cycles, 22(1). https://​doi.​org/​10.​1029/​2007GB002947.
Zurück zum Zitat Olmanson, L. G., Bauer, M. E., & Brezonik, P. L. (2008). A 20-year Landsat water clarity census of Minnesota's 10,000 lakes. Remote Sensing of Environment, 112(11), 4086–4097. Olmanson, L. G., Bauer, M. E., & Brezonik, P. L. (2008). A 20-year Landsat water clarity census of Minnesota's 10,000 lakes. Remote Sensing of Environment, 112(11), 4086–4097.
Zurück zum Zitat Panteras, G., & Cervone, G. (2018). Enhancing the temporal resolution of satellite-based flood extent generation using crowdsourced data for disaster monitoring. International Journal of Remote Sensing, 39(5), 1459–1474. Panteras, G., & Cervone, G. (2018). Enhancing the temporal resolution of satellite-based flood extent generation using crowdsourced data for disaster monitoring. International Journal of Remote Sensing, 39(5), 1459–1474.
Zurück zum Zitat Patel, N. N., Stevens, F. R., Huang, Z., Gaughan, A. E., Elyazar, I., & Tatem, A. J. (2017). Improving large area population mapping using geotweet densities. Transactions in GIS, 21(2), 317–331. Patel, N. N., Stevens, F. R., Huang, Z., Gaughan, A. E., Elyazar, I., & Tatem, A. J. (2017). Improving large area population mapping using geotweet densities. Transactions in GIS, 21(2), 317–331.
Zurück zum Zitat Pekel, J. F., Cottam, A., Gorelick, N., & Belward, A. S. (2016). High-resolution mapping of global surface water and its long-term changes. Nature, 540(7633), 418–422. Pekel, J. F., Cottam, A., Gorelick, N., & Belward, A. S. (2016). High-resolution mapping of global surface water and its long-term changes. Nature, 540(7633), 418–422.
Zurück zum Zitat Pengra, B., Long, J., Dahal, D., Stehman, S. V., & Loveland, T. R. (2015). A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30m continuous field tree cover data. Remote Sensing of Environment, 165, 234–248. Pengra, B., Long, J., Dahal, D., Stehman, S. V., & Loveland, T. R. (2015). A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30m continuous field tree cover data. Remote Sensing of Environment, 165, 234–248.
Zurück zum Zitat Pesaresi, M., Huadong, G., Blaes, X., Ehrlich, D., Ferri, S., Gueguen, L., ... & Marin-Herrera, M. A. (2013). A global human settlement layer from optical HR/VHR RS data: concept and first results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5), 2102–2131. Pesaresi, M., Huadong, G., Blaes, X., Ehrlich, D., Ferri, S., Gueguen, L., ... & Marin-Herrera, M. A. (2013). A global human settlement layer from optical HR/VHR RS data: concept and first results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5), 2102–2131.
Zurück zum Zitat Pinkovskiy, M., & Sala-i-Martin, X. (2016). Lights camera income. Illuminating the national accounts-household surveys debate. Quarterly Journal of Economics, 131(2), 579–631. Pinkovskiy, M., & Sala-i-Martin, X. (2016). Lights camera income. Illuminating the national accounts-household surveys debate. Quarterly Journal of Economics, 131(2), 579–631.
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Zurück zum Zitat Ross, M. L. (2004). What do we know about natural resources and civil war? Journal of Peace Research, 41(3), 337–356. Ross, M. L. (2004). What do we know about natural resources and civil war? Journal of Peace Research, 41(3), 337–356.
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Metadaten
Titel
People and Pixels 20 years later: the current data landscape and research trends blending population and environmental data
verfasst von
Tracy A. Kugler
Kathryn Grace
David J. Wrathall
Alex de Sherbinin
David Van Riper
Christoph Aubrecht
Douglas Comer
Susana B. Adamo
Guido Cervone
Ryan Engstrom
Carolynne Hultquist
Andrea E. Gaughan
Catherine Linard
Emilio Moran
Forrest Stevens
Andrew J. Tatem
Beth Tellman
Jamon Van Den Hoek
Publikationsdatum
22.11.2019
Verlag
Springer Netherlands
Erschienen in
Population and Environment / Ausgabe 2/2019
Print ISSN: 0199-0039
Elektronische ISSN: 1573-7810
DOI
https://doi.org/10.1007/s11111-019-00326-5

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