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NTEMS listing of scientific publications 1
2023-01-18
National Terrestrial Ecosystem Mapping System (NTEMS):
Scientific Publications
Version 3
January 18, 2023
Michael A. Wulder (PI), Joanne C. White, Txomin Hermosilla, Geordie W. Hobart – Canadian Forest
Service
Nicholas C. Coops – University of British Columbia
The National Terrestrial Ecosystem Monitoring System (NTEMS) was developed by the Canadian Forest
Service to provide national-scale baseline information on Canada's forested ecosystems. Based largely on
data from the Landsat series of satellites, free and open access to analysis ready data, and utilization of
high-performance computing, NTEMS enabled the re-creation of the history of Canada’s forests at a
higher level of spatial and categorical detail than ever before. Through NTEMS research, methods have
been developed for image compositing, change detection, and change attribution using Landsat time
series data. NTEMS outputs have subsequently enabled the characterization of post-disturbance recovery,
an annual land cover data cube, and national representations of forest structure.
Contents
Context ................................................................................................................................................... 2
Key papers .............................................................................................................................................. 3
Methods development ............................................................................................................................ 4
Disturbance mapping .............................................................................................................................. 5
Post-disturbance forest recovery ............................................................................................................. 6
Forest structure mapping ........................................................................................................................ 7
Land cover mapping ................................................................................................................................ 8
Tree species mapping .............................................................................................................................. 9
Landsat and Landsat archive .................................................................................................................... 9
Carbon accounting applications ............................................................................................................. 11
Virtual constellations ............................................................................................................................. 11
Other applications ................................................................................................................................. 12
NTEMS listing of scientific publications 2
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Context
Canada is a vast nation. From a total area approaching 1 billion hectares, Canada has about 350 million
hectares of land with trees. These treed areas are found in forested ecosystems, interspersed among
wetlands and lakes, with an area of ~650 million ha, or 65% of the country. Forested ecosystems provide
habitat and timber, protect biodiversity, as well as functioning to filter water and to exchange gasses with
the atmosphere. The depth of Earth Observation (EO) data coverage for Canada, combined with present
data processing capabilities, allow for national-level product generation and scientific analyses to support
forest monitoring information needs.
From a forest monitoring perspective, data from the Landsat series of satellites have many qualities that
make them a data source of choice for national monitoring efforts, the most important of which is a spatial
resolution (30 m) that can capture human impacts over large areas. Processing of 30 m spatial resolution
data allows for both national coverage and a high level of regional detail, supporting focused
investigations (such as cumulative impacts) nested within the broader national context. Time series Earth
Observation (EO) data can inform on trends, provide baseline information for monitoring, offer
opportunities for regional investigations, inform on mitigation opportunities and success, as well as
providing transparent data for compliance and planning, including over remote areas.
As the terrestrial monitoring system developed via NTEMS matures, the introduction of measures from
other sensors, both passive and active, have been integrated to address information needs of science,
policy, and management. NTEMS research is ongoing and continues to accelerate the development and
refinement of national information products for terrestrial monitoring in the context of climate change.
Herein is a listing of NTEMS peer-reviewed science published to date, arranged thematically.
The listed papers are largely open access. If not open access, a ResearchGate link is provided to obtain
access to the publication.
Access to NTEMS open data products (time series disturbance, land cover, etcetera) is available via
Canada's National Forest Information Systems (NFIS):
https://opendata.nfis.org/mapserver/nfis-change_eng.html
NTEMS listing of scientific publications 3
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Key papers
Rationale and methodology: Information needs and image processing opportunities for mapping
Canada, composites and change.
• White, J.C., Wulder, M.A., Hobart, G,W., Luther, J.E., Hermosilla, T., Griffiths, P., Coops, N.C.,
Hall, R.J., Hostert, P., Dyk, A., Guindon. L., 2014. Pixel-based image compositing for large-area
dense time series applications and science. Canadian Journal of Remote Sensing 40(3), 192–212.
https://doi.org/10.1080/07038992.2014.945827
Full summary of data, image processing, change detection, change metrics, change labeling, and
Canada-wide project outcomes.
• Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Campbell, L.B. 2016. Mass
data processing of time series Landsat imagery: pixels to data products for forest monitoring.
International Journal of Digital Earth 9(11), 1035-1054.
https://doi.org/10.1080/17538947.2016.1187673
National summary of disturbance and recovery trends (1985-2010):
• White, J.C., Wulder, M.A., Hermosilla, T., Coops, N.C., Hobart, G.W. (2017). A nationwide annual
characterization of 25 years of forest disturbance and recovery for Canada using Landsat time
series, Remote Sensing of Environment 194, 303-321. https://doi.org/10.1016/j.rse.2017.03.035
Frequency and nature of multiple change events (1985-2015):
• Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., 2019. Prevalence of multiple forest
disturbances and impact on vegetation regrowth from interannual Landsat time series (1985-
2015). Remote Sensing of Environment 233, 111403. https://doi.org/10.1016/j.rse.2019.111403
National time series of forest fragmentation (1985-2015):
• Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Pickell, P.D., Bolton, D.K. 2019. Impact of
time on interpretations of forest fragmentation: Three-decades of fragmentation dynamics over
Canada. Remote Sensing of Environment 222, 65-77. https://doi.org/10.1016/j.rse.2018.12.027
National leading tree species mapping:
• Hermosilla, T., Bastyr, A., Coops, N.C., White, J.C., Wulder, M.A., 2022. Mapping the presence
and distribution of tree species in Canada’s forested ecosystems. Remote Sensing of
Environment 282, 113276. https://doi.org/10.1016/j.rse.2022.113276
NTEMS listing of scientific publications 4
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**Note: Publications are listed chronologically within themes.
Methods development
1. White, J.C., Wulder, M.A., Hobart, G,W., Luther, J.E., Hermosilla, T., Griffiths, P., Coops, N.C.,
Hall, R.J., Hostert, P., Dyk, A., Guindon. L. 2014. Pixel-based image compositing for large-area
dense time series applications and science. Canadian Journal of Remote Sensing 40(3), 192–212.
https://doi.org/10.1080/07038992.2014.945827
2. Hermosilla, T., Wulder, M.A., White, J. C., Coops, N.C., Hobart, G.W. 2015. An integrated Landsat
time series protocol for change detection and generation of annual gap-free surface reflectance
composites. Remote Sensing of Environment 158, 220–234.
https://doi.org/10.1016/j.rse.2014.11.005
https://www.researchgate.net/publication/269113059_An_integrated_Landsat_time_series_pr
otocol_for_change_detection_and_generation_of_annual_gap-
free_surface_reflectance_composites
3. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W. 2015. Regional detection,
characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-
derived time-series metrics. Remote Sensing of Environment 170, 121–132.
https://doi.org/10.1016/j.rse.2015.09.004
https://www.researchgate.net/publication/282327786_Regional_detection_characterization_a
nd_attribution_of_annual_forest_change_from_1984_to_2012_using_Landsat-derived_time-
series_metrics?ev=prf_pub
4. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Campbell, L.B. 2016. Mass
data processing of time series Landsat imagery: pixels to data products for forest monitoring.
International Journal of Digital Earth 9(11), 1035-1054.
https://doi.org/10.1080/17538947.2016.1187673
5. Chance, C.M., Hermosilla, T, Coops, N.C., Wulder, M.A., White, J.C. 2016. Effect of topographic
correction on forest change detection using spectral trend analysis of Landsat pixel-based
composites. International Journal of Applied Earth Observation and Geoinformation 44, 186–
194. https://doi.org/10.1016/j.jag.2015.09.003
6. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W. 2017. Updating Landsat time
series of surface-reflectance composites and forest change products with new observations.
International Journal of Applied Earth Observation and Geoinformation 63, 104-111.
https://doi.org/10.1016/j.jag.2017.07.013
NTEMS listing of scientific publications 5
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Disturbance mapping
7. Jarron, L.R., Hermosilla, T., Coops, N.C., Wulder, M.A., White, J.C. , Hobart G., Leckie, D.G. 2017.
Differentiation of alternate harvesting practices using annual time series of Landsat data. Forests
8(1), 1-15. https://doi.org/10.3390/f8010015
8. Ahmed, O., M.A. Wulder, J.C. White, T. Hermosilla, N.C. Coops, S.E. Franklin. 2017. Classification
of annual non-stand replacing boreal forest change in Canada using Landsat time series: A case
study in northern Ontario. Remote Sensing Letters 81(1): 29–37.
https://doi.org/10.1080/2150704X.2016.1233371
9. Coops, N.C., Hermosilla, T., Wulder, M.A., White, J.C., Bolton, D.K. 2018. A thirty year, fine-scale,
characterization of area burned in Canadian forests shows evidence of regionally increasing
trends in the last decade. PLoS ONE 13(5), e0197218.
https://doi.org/10.1371/journal.pone.0197218
10. Crowley, M.A., Cardille, J.A., White, J.C., Wulder, M.A. 2019. Generating intra-year metrics of
wildfire progression using multiple open-access satellite data streams. Remote Sensing of
Environment 232, 111295. https://doi.org/10.1016/j.rse.2019.111295
11. Bolton, D.K., Coops, N.C., Hermosilla, T., Wulder, M.A., White, J.C., Ferster, C.J. 2019. Uncovering
regional variability in disturbance trends between parks and greater park ecosystems across
Canada (1985–2015). Scientific Reports 9(1), 1323. https://doi.org/10.1038/s41598-018-37265-4
12. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Pickell, P.D. Bolton, D.K. 2019. Impact of
time on interpretations of forest fragmentation: Three-decades of fragmentation dynamics over
Canada. Remote Sensing of Environment 222, 65-77. https://doi.org/10.1016/j.rse.2018.12.027
13. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C. 2019. Prevalence of multiple forest
disturbances and impact on vegetation regrowth from interannual Landsat time series (1985-
2015). Remote Sensing of Environment 233, 111403. https://doi.org/10.1016/j.rse.2019.111403
14. Coops, N.C., Shang, C., Wulder, M.A., White, J.C., Hermosilla, T. 2020. Change in forest
condition: Characterizing non-stand replacing disturbances using time series satellite imagery.
Forest Ecology and Management 474, 118370. https://doi.org/10.1016/j.foreco.2020.118370
15. Cardille, J.A., Perez, E., Crowley, M.A., Wulder, M.A., White, J.C., Hermosilla, T. 2022. Multi-
sensor change detection for within-year capture and labelling of forest disturbance. Remote
Sensing of Environment 268, 112741. https://doi.org/10.1016/j.rse.2021.112741
NTEMS listing of scientific publications 6
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Post-disturbance forest recovery
16. Bartels, S.F., Chen, H.Y.H., Wulder, M.A., White, J.C. 2016. Trends in post-disturbance recovery
rates of Canada's forests following wildfire and harvest. Forest Ecology and Management 361,
194-207. https://doi.org/10.1016/j.foreco.2015.11.015
17. White, J.C., Wulder, M.A., Hermosilla, T., Coops, N.C., Hobart, G.W. 2017. A nationwide annual
characterization of 25 years of forest disturbance and recovery for Canada using Landsat time
series, Remote Sensing of Environment 194, 303-321. https://doi.org/10.1016/j.rse.2017.03.035
18. Bourbonnais, M.L., Nelson, T.A., Stenhouse, G.B., Wulder, M.A. White, J.C., Hobart, G.W.,
Hermosilla, T., Coops, N.C., Nathoo, F., Darimont, C. 2017. Characterizing spatial-temporal
patterns of landscape disturbance and recovery in western Alberta, Canada using a functional
data analysis approach. Ecological Informatics 39, 140–150.
https://doi.org/10.1016/j.ecoinf.2017.04.010
19. Frazier, R.J., Coops, N.C., Wulder, M.A., Hermosilla, T., White, J.C. 2018. Analyzing Spatial and
Temporal Variability in Short-Term Rates of Post-Fire Vegetation Return from Landsat Time
Series. Remote Sensing of Environment 205, 32-45. https://doi.org/10.1016/j.rse.2017.11.007
20. White, J.C., Saarinen, N., Kankare, V., Wulder, M.A., Hermosilla, T., Coops, N.C., Pickell, P.D.,
Holopainen, M., Hyyppä, J., Vastaranta, M. 2018. Confirmation of post-harvest spectral recovery
from Landsat time series using measures of forest cover and height derived from airborne laser
scanning data. Remote Sensing of Environment 216, 262-275.
https://doi.org/10.1016/j.rse.2018.07.004
21. White, J.C., Saarinen, N., Wulder, M.A., Kankare, V. Hermosilla, T., Coops, N.C., Holopainen, M.,
Hyyppä, J., Vastaranta, M. 2019. Assessing spectral measures of post-harvest forest recovery
with field plot data. International Journal of Applied Earth Observation and Geoinformation 80,
102–114. https://doi.org/10.1016/j.jag.2019.04.010
22. White, J.C., Wulder, M.A., Hermosilla, T., Coops, N.C. 2019. Satellite time series can guide forest
restoration. Nature 569(7758), 630. https://doi.org/10.1038/d41586-019-01665-x
23. White, J.C. 2019. Improving capacity for large-area monitoring of forest disturbance and
recovery. Dissertation Forestales 272. 79 p. https://doi.org/10.14214/df.272
24. Kearney, S.P., Coops, N.C., Stenhouse, G.B., Nielsen, S.E., Hermosilla, T., White, J.C., Wulder,
M.A. 2019. Grizzly bear selection of recently harvested forests is dependent on forest recovery
rate and landscape composition. Forest Ecology and Management 449, 117459.
https://doi.org/10.1016/j.foreco.2019.117459
25. White, J.C., Hermosilla, T., Wulder, M.A., Coops, N.C. 2022. Mapping, validating, and interpreting
spatio-temporal trends in post-disturbance forest recovery. Remote Sensing of Environment 271,
112904. https://doi.org/10.1016/j.rse.2022.112904
NTEMS listing of scientific publications 7
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Forest structure mapping
26. Zald, H., Wulder, M.A., White, J.C., Hilker, T., Hermosilla, T., Hobart, G.W., Coops, N.C. 2016.
Integrating Landsat pixel composites and change metrics with lidar plots to predictively map
forest structure and aboveground biomass in Saskatchewan, Canada. Remote Sensing of
Environment 176, 188–201. https://doi.org/10.1016/j.rse.2016.01.015
27. Matasci G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Zald, H.S. 2018.
Large-area mapping of Canadian boreal forest cover, height, biomass and other structural
attributes using Landsat composites and lidar plots. Remote Sensing of Environment 209, 90–
106. https://doi.org/10.1016/j.rse.2017.12.020
28. Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K.,
Tompalski, P., Bater, C.W. 2018. Three decades of forest structural dynamics over Canada's
forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment
216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024
NTEMS listing of scientific publications 8
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Land cover mapping
29. Franklin, S.E., Ahmed, O.S., Wulder, M.A., White, J.C., Hermosilla, T., Coops, N.C. 2015. Large-
area mapping of annual land cover dynamics using multi-temporal change detection and
classification of Landsat time series data. Canadian Journal of Remote Sensing 41(4), 293–314.
https://doi.org/10.1080/07038992.2015.1089401
30. Thompson, S.D., Nelson, T.A., White, J.C., Wulder, M.A. 2015. Mapping dominant tree species
over large forested areas using Landsat best-available-pixel image composites. Canadian Journal
of Remote Sensing 41(3), 203-218. https://doi.org/10.1080/07038992.2015.1065708
31. Gómez, C., White, J.C., Wulder, M.A. 2016. Optical remotely sensed time series data for land
cover classification: A review. ISPRS Journal of Photogrammetry and Remote Sensing 116, 55-72.
https://doi.org/10.1016/j.isprsjprs.2016.03.008
32. Wulder, M.A., Coops, N.C., Roy, D.P., White, J.C., Hermosilla. T. 2017. Land cover 2.0.
International Journal of Remote Sensing 39(12), 4254–4284.
https://doi.org/10.1080/01431161.2018.1452075
33. Wulder, M.A., Li, Z., Campbell, E.M., White, J.C., Hobart, G., Hermosilla, T., Coops, N.C. 2018. A
national assessment of wetland status and trends for Canada's forested ecosystems using 33
years of earth observation satellite data. Remote Sensing 10(10): 1623.
https://doi.org/10.3390/rs10101623
34. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W. 2018. Disturbance-informed
annual land cover classification maps of Canada’s forested ecosystems for a 29-year Landsat
time series. Canadian Journal of Remote Sensing 44(1): 67–87.
https://doi.org/10.1080/07038992.2018.1437719
35. Wulder, M.A., Hermosilla, T., Stinson, G., Gougeon, F.A., White, J.C., Hill, D.A., Smiley, B.P. 2020.
Satellite-based time series land cover and change information to map forest area consistent
with national and international reporting requirements. Forestry: An International Journal of
Forest Research 93, 331–343. https://doi.org/10.1093/forestry/cpaa006
36. Strickland, G.E.I., Luther, J.E., White, J.C., Wulder, M.A. 2020. Extending estimates of tree and
tree species presence-absence through space and time using Landsat composites. Canadian
Journal of Remote Sensing 46(5), 567–584. https://doi.org/10.1080/07038992.2020.1811083
37. Li, Z., Chen, H., White, J.C., Wulder, M.A., Hermosilla, T. 2020. Discriminating treed and non-treed
wetlands in boreal ecosystems using time series Sentinel-1 data. International Journal of Applied
Earth Observation and Geoinformation 85, 102007. https://doi.org/10.1016/j.jag.2019.102007
38. Li, Z., White, J.C., Wulder, M.A., Hermosilla, T., Davidson, A.M., Comber, A.J. 2021. Land cover
harmonization using Latent Dirichlet Allocation. International Journal of Geographical
Information Science 35(2), 348-374. https://doi.org/10.1080/13658816.2020.1796131
NTEMS listing of scientific publications 9
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39. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C. 2022. Land cover classification in an era of
big and open data: Optimizing localized implementation and training data selection to improve
mapping outcomes. Remote Sensing of Environment 268, 112780.
https://doi.org/10.1016/j.rse.2021.112780
Tree species mapping
40. Hermosilla, T., Bastyr, A., Coops, N.C., White, J.C., Wulder, M.A. 2022. Mapping the presence
and distribution of tree species in Canada’s forested ecosystems. Remote Sensing of
Environment 282, 113276. https://doi.org/10.1016/j.rse.2022.113276
Landsat and Landsat archive
41. Wulder, M.A., White, J.C., Goward, S.N., Masek, J.G., Irons, J.R., Herold, M., Cohen, W.B.,
Loveland, T.R., Woodcock, C.E. 2008. Landsat continuity: Issues and opportunities for land cover
monitoring. Remote Sensing of Environment 112(3), 955-969.
https://www.sciencedirect.com/science/article/pii/S0034425707003331
42. Wulder, M.A., White, J.C., Masek, J.G., Dwyer, J., Roy, D.P. 2011. Continuity of Landsat
observations: Short term considerations. Remote Sensing of Environment 115(2), 747-751.
http://dx.doi.org/10.1016/j.rse.2010.11.002.
43. Wulder, M.A., Masek, J.G., Cohen, W.B., Loveland, T.R., Woodcock, C.E. 2012. Opening the
archive: How free data has enabled the science and monitoring promise of Landsat. Remote
Sensing of Environment 122, 2-10. http://dx.doi.org/10.1016/j.rse.2012.01.010.
44. White, J. C., Wulder, M. A. 2014. The Landsat observation record of Canada: 1972–2012.
Canadian Journal of Remote Sensing 39(6): 455-467. https://doi.org/10.5589/m13-053
45. Banskota, A., Kayastha, N., Falkowski, M.J., Wulder, M.A., Froese, R.E., White, J.C. 2014. Forest
monitoring using Landsat time-series data: A review. Canadian Journal of Remote Sensing 40(5):
362–384. https://doi.org/10.1080/07038992.2014.987376
46. Roy, D.P., Wulder, M.A., Loveland, T.R., Woodcock, C.E., 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. 2014. Landsat-8: Science
and product vision for terrestrial global change research. Remote Sensing of Environment 145,
154-172. http://dx.doi.org/10.1016/j.rse.2014.02.001
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47. Wulder, M.A, White, J.C., Loveland, T.R., Woodcock, C.E., Belward, A.S., Cohen, W.B. Fosnight,
G., Shaw, J., Masek, J.G., Roy, D.P. 2016. The global Landsat archive: Status, consolidation, and
direction. Remote Sensing of Environment 185, 271-283.
https://doi.org/10.1016/j.rse.2015.11.032
48. Saarinen, N., White, J.C., Wulder, M.A., Kangas, A., Tuominen, S., Kankare, V., Holopainen, M.,
Hyyppä, J., Vastaranta, M. 2018. Landsat archive holdings for Finland: Opportunities for forest
monitoring. Silva Fennica 52(3), 9986, 11p. https://doi.org/10.14214/sf.9986
49. Wulder, M.A., Loveland, T.R., Roy, D.P., Crawford, C.J., Masek, J.G., Woodcock, C.E., Allen, R.G.,
Anderson, M.C., Belward, A.S., Cohen, W.B., Dwyer, J., Erb, A., Gao, F., Griffiths, P., Helder, D.,
Hermosilla, T., Hipple, J.D., Hostert, P., Hughes, M.J., Huntington, J., Johnson, D.M., Kennedy, R.,
Kilic, A., Li, Z., Lymburner, L., McCorkel, J., Pahlevan, N., Scambos, T.A., Schaaf, C., Schott, J.R.,
Sheng, Y., Storey, J., Vermote, E., Vogelmann, J., White, J.C., Wynne, R.H., Zhu, Z. 2019. Current
status of Landsat program, science, and applications. Remote Sensing of Environment, 225, pp.
127-147. https://doi.org/10.1016/j.rse.2019.02.015
50. Zhe, Z., Wulder, M.A., Roy, D.P., Woodcock, C.E., Hansen, M.C., Radeloff, V.C., Healey, S.P.
Schaaf, C., Hostert, P., Strobl, P., Pekel, J-F., Lymburner, L., Pahlevan, N., Scambos, T.A. 2019.
Benefits of the Free and Open Landsat Data Policy. Remote Sensing of Environment 224, 382-
385. https://doi.org/10.1016/j.rse.2019.02.016
51. Masek, J.G., Wulder, M.A., Markham, B., McCorkel, J., Crawford, C.J., Storey, J. Jenstrom, D.T.
2020. Landsat 9: Empowering Open Science and Applications Through Continuity. Remote
Sensing of Environment 248, 111968. https://doi.org/10.1016/j.rse.2020.111968
52. Loveland, T.R., Anderson, M.C., Huntington, J.L., Irons, J.R., Johnson, D.M., Rocchio, L.E.P.
Rocchio, Woodcock, C.E., Wulder. M.A. 2022. Seeing Our Planet Anew: Fifty Years of Landsat.
Photogrammetric Engineering and Remote Sensing 88(7), 429-436.
https://doi.org/10.14358/PERS.88.7.429
53. Wulder, M.A., Roy, D.P., Radeloff, V.C., Loveland, T.R., Anderson, M.C., Johnson, D.M., Healey,
S., Zhu, Z., Scambos, T.A., Pahlevan, N., Hansen, M., Gorelick, N., Crawford, C.J., Masek, J.G.,
Hermosilla, T., White, J.C., Belward, A.S. Schaaf, C., Woodcock, C., Huntington, J.L., Lymburner,
L., Hostert, P., Gao, F., Lyapustin, A., Pekel, J-F., Strobl, P., Cook, B.C. 2022. Fifty years of Landsat
science and impacts. Remote Sensing of Environment 280, 113195.
https://doi.org/10.1016/j.rse.2022.113195
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Carbon accounting applications
54. Boisvenue, C., Smiley, B.P., White, J.C., Kurz, W.A., Wulder, M.A. 2016. Integration of Landsat
time series and field plots for forest productivity estimates in decision support models. Forest
Ecology and Management 376, 284–297. https://doi.org/10.1016/j.foreco.2016.06.022
55. Boisvenue, C., Smiley, B.P., White, J.C., Kurz, W.A., Wulder, M.A. 2016. Improving carbon
monitoring and reporting in forests using spatially-explicit forest information. Carbon Balance
and Management 11(1), 1-16. https://doi.org/10.1186/s13021-016-0065-6
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57. Wulder, M.A. Hermosilla, T., White, J.C., Coops, N.C. 2020. Biomass status and dynamics over
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58. Wulder, M.A., Hilker, T., White, J.C., Coops, N.C., Masek, J.G., Pflugmacher, D., Crevier, Y. 2015.
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59. Wulder, M.A., Hermosilla, T., White, J.C., Hobart, G.H., Masek, J.G. 2021. Augmenting Landsat
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60. Mulverhill, C., Coops, N.C., Hermosilla, T., White, J.C., Wulder, M.A. 2022. Evaluating ICESat-2 for
monitoring, modeling, and update of large area forest canopy height products. Remote Sensing
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61. Rickbeil, G.J.M., Hermosilla, T., Coops, N.C., White, J.C., Wulder, M.A., Lantz, T. 2016. Barren-
ground caribou (Rangifer tarandus groenlandicus) behaviour after recent fire events; integrating
caribou telemetry data with Landsat fire detection techniques. Global Change Biology 23(3),
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62. Bolton, D.K., Coops, N.C., Hermosilla, T., Wulder, M.A., White, J.C. 2017. Assessing variability in
post-fire structure gradients of productivity in the Canadian boreal using multiresolution remote
sensing. Journal of Biogeography 44(6), 1294-1305. https://doi.org/10.1111/jbi.12947
63. Chowdhury, S., Chao, D., Shipman, T., Wulder, M.A. 2017. Utilization of Landsat data to quantify
land-use and land-cover changes related to oil and gas activities in West-Central Alberta from
2005 to 2013, GIScience and Remote Sensing 54(5), 700-720.
https://doi.org/10.1080/15481603.2017.1317453
64. Rickbeil, G., Hermosilla, T., Coops, N.C., White, J.C., Wulder, M.A. 2017. Estimating changes in
lichen mat volume through time and related effects on barren ground caribou (Rangifer
tarandus groenlandicus) movement. PloS ONE 12(3), e0172669.
https://doi.org/10.1371/journal.pone.0172669
65. Bolton, D.K., White, J.C., Wulder, M.A., Coops, N.C. 2018. Updating stand-level forest inventories
using airborne laser scanning and Landsat time series data. International Journal of Applied
Earth Observation and Geoinformation 66, 174–183. https://doi.org/10.1016/j.jag.2017.11.016
66. Rickbeil, G.J.M., T. Hermosilla, N.C. Coops, J.C. White, M.A. Wulder, T.C. Lantz, T.C. 2018.
Changing northern vegetation conditions are influencing barren ground caribou (Rangifer
tarandus groenlandicus) post-calving movement rates. Journal of Biogeography 45(3), 702-712.
https://doi.org/10.1111/jbi.13161
67. Czekajlo, A., Coops, N.C., Wulder, M.A., Hermosilla, T., Lu, Y., White, J.C., van den Bosch, M.
2020. The urban greenness score: A satellite-based metric for multi-decadal characterization of
urban land dynamics. International Journal of Applied Earth Observation and Geoinformation 93,
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68. Shang, C., Wulder, M.A., Coops, N.C., White, J.C., Hermosilla, T. 2020. Spatially-explicit
prediction of wildfire burn probability using remotely-sensed and ancillary data. Canadian
Journal of Remote Sensing 46(3), 313-329. https://doi.org/10.1080/07038992.2020.1788385
69. Shang, C., Coops, N.C., Wulder, M.A., White, J.C., Hermosilla, T. 2020. Update and spatial
extension of strategic forest inventories using time series remote sensing and modeling.
International Journal of Applied Earth Observation and Geoinformation 84, 101956.
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70. Li, Z., Chen, H., White, J.C., Wulder, M.A., Hermosilla, T. 2020. Discriminating treed and non-treed
wetlands in boreal ecosystems using time series Sentinel-1 data. International Journal of Applied
Earth Observation and Geoinformation 85, 102007. https://doi.org/10.1016/j.jag.2019.102007
71. Czekajlo, A., Coops, N.C., Wulder, M.A., Hermosilla, T., White, J.C., van den Bosch, M. 2021.
Mapping dynamic peri-urban land use transitions across Canada using Landsat time series:
Spatial and temporal trends and associations with socio-demographic factors. Computers,
Environment and Urban Systems 88, 101653.
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72. Chen, A., Lantz, T., Hermosilla, T., Wulder, M.A. 2021. Biophysical controls of increased tundra
productivity in the western Canadian Arctic. Remote Sensing of Environment 258, 112358.
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73. Francini, S., McRoberts, R.E., D’Amico, G., Coops, N.C., Hermosilla, T., White, J.C., Wulder, M.A.,
Marchetti, M., Mugnozza, G.S., Chirici, G. 2022. An open science and open data approach for the
statistically robust estimation of forest disturbance areas. International Journal of Applied Earth
Observation and Geoinformation 106, 102663. https://doi.org/10.1016/j.jag.2021.102663
74. Seider, J.H., Lantz, T.C., Hermosilla, T., Wulder, M.A., Wang, J.A. 2022. Biophysical determinants
of shifting tundra vegetation productivity in the Beaufort Delta region of Canada. Ecosystems 25,
1435-1454. https://doi.org/10.1007/s10021-021-00725-6