The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Landsat-8: Science and product vision for terrestrial global change research
Open accessAbstract
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared. Landsat 8 extends the remarkable 40 year Landsat record and has enhanced capabilities including new spectral bands in the blue and cirrus cloud-detection portion of the spectrum, two thermal bands, improved sensor signal-to-noise performance and associated improvements in radiometric resolution, and an improved duty cycle that allows collection of a significantly greater number of images per day. This paper introduces the current (2012–2017) Landsat Science Team's efforts to establish an initial understanding of Landsat 8 capabilities and the steps ahead in support of priorities identified by the team. Preliminary evaluation of Landsat 8 capabilities and identification of new science and applications opportunities are described with respect to calibration and radiometric characterization; surface reflectance; surface albedo; surface temperature, evapotranspiration and drought; agriculture; land cover, condition, disturbance and change; fresh and coastal water; and snow and ice. Insights into the development of derived ‘higher-level’ Landsat products are provided in recognition of the growing need for consistently processed, moderate spatial resolution, large area, long-term terrestrial data records for resource management and for climate and global change studies. The paper concludes with future prospects, emphasizing the opportunities for land imaging constellations by combining Landsat data with data collected from other international sensing systems, and consideration of successor Landsat mission requirements.
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Cites
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
Self-citationDetermination of Deforestation Rates of the World's Humid Tropical Forests
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“The European Commission's Joint Research Centre TREES-III project uses a pan-tropical grid sampling approach to characterize tropical forest loss for 20 by 20 km sample blocks of Landsat TM data from 2000 to 2010 (Achard et al., 2002; Beuchle et al., 2011; Mayaux et al., 2013).”
Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988
Skole, D., & Tucker, C. (1993) · Science · doi:10.1126/science.260.5116.1905 · Cited by 1,590
A Project for Monitoring Trends in Burn Severity
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Self-citationBoryan, C., Yang, Z., Mueller, R., & Craig, M. (2011) · Geocarto International · doi:10.1080/10106049.2011.562309 · Cited by 1,212
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The Harmonized Landsat and Sentinel-2 surface reflectance data set
Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.-C., Skakun, S. V., & Justice, C. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.09.002 · Cited by 1,497
Self-citationCai, Y., Guan, K., Peng, J., Wang, S., Seifert, C., Wardlow, B., & Li, Z. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.02.045 · Cited by 540
Zhao, K., Wulder, M. A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick, B., Zhang, X., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.034 · Cited by 514
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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Manas, O., Lacoste, A., Giro-i-Nieto, X., Vazquez, D., & Rodriguez, P. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00928 · Cited by 354
Metadata
- Authors
- Roy, D. P., Wulder, M. A., Loveland, T. R., C.E., W., Allen, R. G., Anderson, M. C., Helder, D., Irons, J. R., Johnson, D. M., Kennedy, R., Scambos, T. A., Schaaf, C. B., Schott, J. R., Sheng, Y., Vermote, E. F., Belward, A. S., Bindschadler, R., Cohen, W. B., Gao, F., Hipple, J. D., Hostert, P., Huntington, J., Justice, C. O., Kilic, A., Kovalskyy, V., Lee, Z. P., Lymburner, L., Masek, J. G., McCorkel, J., Shuai, Y., Trezza, R., Vogelmann, J., Wynne, R. H., & Zhu, Z.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 145
- Pages
- 154-172
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2139709933
- Cited by
- 2,659
- References
- 5
- FWCI
- 135.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Landsat-8: Science and product vision for terrestrial global change research. https://app.cochat.ai/papers/10.1016/j.rse.2014.02.001
- The paper
- Roy, D. P., Wulder, M. A., Loveland, T. R., C.E., W., Allen, R. G., Anderson, M. C., Helder, D., Irons, J. R., Johnson, D. M., Kennedy, R., Scambos, T. A., Schaaf, C. B., Schott, J. R., Sheng, Y., Vermote, E. F., Belward, A. S., Bindschadler, R., Cohen, W. B., Gao, F., . . . Zhu, Z. (2014). Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2014.02.001
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