{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T11:21:06Z","timestamp":1780572066324,"version":"3.54.1"},"reference-count":35,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:00:00Z","timestamp":1614038400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007149","name":"U.S. Bureau of Land Management","doi-asserted-by":"publisher","award":["L15PG00136"],"award-info":[{"award-number":["L15PG00136"]}],"id":[{"id":"10.13039\/100007149","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Monitoring temporal dynamics of rangelands to detect and understand change in vegetation cover and composition provides a wealth of information to improve management and sustainability. Remote sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents. Here, we describe the production of the National Land Cover Database (NLCD) Back in Time (BIT) dataset which quantified the percent cover of rangeland components (bare ground, herbaceous, annual herbaceous, litter, shrub, and sagebrush (Artemisia spp. Nutt.) across the western United States using Landsat imagery from 1985 to 2018. We evaluate the relationships of component trends with climate drivers at an ecoregion scale, describe the nature of landscape change, and demonstrate several case studies related to changes in grazing management, prescribed burns, and vegetation treatments. Our results showed the net cover of shrub, sagebrush, and litter significantly (p &lt; 0.01) decreased, bare ground and herbaceous cover had no significant change, and annual herbaceous cover significantly (p &lt; 0.05) increased. Change was ubiquitous, with a mean of 92% of pixels with some change and 38% of pixels with significant change (p &lt; 0.10). However, most change was gradual, well over half of pixels have a range of less than 10%, and most change occurred outside of known disturbances. The BIT data facilitate a comprehensive assessment of rangeland condition, evaluation of past management actions, understanding of system variability, and opportunities for future planning.<\/jats:p>","DOI":"10.3390\/rs13040813","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T20:19:36Z","timestamp":1614111576000},"page":"813","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Rangeland Fractional Components Across the Western United States from 1985 to 2018"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4471-8009","authenticated-orcid":false,"given":"Matthew","family":"Rigge","sequence":"first","affiliation":[{"name":"U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Collin","family":"Homer","sequence":"additional","affiliation":[{"name":"U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7013-1565","authenticated-orcid":false,"given":"Hua","family":"Shi","sequence":"additional","affiliation":[{"name":"AFDS, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Debra","family":"Meyer","sequence":"additional","affiliation":[{"name":"KBRwyle, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brett","family":"Bunde","sequence":"additional","affiliation":[{"name":"KBRwyle, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Granneman","sequence":"additional","affiliation":[{"name":"KBRwyle, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kory","family":"Postma","sequence":"additional","affiliation":[{"name":"KBRwyle, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Danielson","sequence":"additional","affiliation":[{"name":"KBRwyle, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6342-5853","authenticated-orcid":false,"given":"Adam","family":"Case","sequence":"additional","affiliation":[{"name":"Innovate! Inc., Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George","family":"Xian","sequence":"additional","affiliation":[{"name":"U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"573","DOI":"10.2307\/2259152","article-title":"The structure and function of ten western North American grasslands: III. Net primary production, turnover and efficiencies of energy capture and water use","volume":"66","author":"Sims","year":"1978","journal-title":"J. Ecol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"165","DOI":"10.2111\/06-061R3.1","article-title":"Long-term vegetation productivity and trend under two stocking levels on Chihuahuan Desert rangeland","volume":"60","author":"Khumalo","year":"2007","journal-title":"Rangeland Ecol. Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"e02762","DOI":"10.1002\/ecs2.2762","article-title":"Long-term trajectories of fractional component change in the Northern Great Basin, USA","volume":"10","author":"Rigge","year":"2019","journal-title":"Ecosphere"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1126\/science.aaz9600","article-title":"Large contribution from anthropogenic warming to an emerging North American megadrought","volume":"368","author":"Williams","year":"2020","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"111521","DOI":"10.1016\/j.rse.2019.111521","article-title":"Leveraging google earth engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring","volume":"236","author":"Zhou","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"e0243","DOI":"10.1002\/ecs2.2430","article-title":"Innovation in rangeland monitoring: Annual, 30 m, plant functional type percent cover maps for US rangelands, 1984\u20132017","volume":"9","author":"Jones","year":"2018","journal-title":"Ecosphere"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"111356","DOI":"10.1016\/j.rse.2019.111356","article-title":"Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach","volume":"238","author":"Brown","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2045","DOI":"10.1007\/s10980-016-0381-y","article-title":"Effect of spatial image support in detecting long-term vegetation change from satellite time series","volume":"31","author":"Maynard","year":"2016","journal-title":"Landscape Ecol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"111558","DOI":"10.1016\/j.rse.2019.111558","article-title":"Transitioning from change detection to monitoring with remote sensing: A paradigm shift","volume":"238","author":"Woodcock","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.rse.2011.06.027","article-title":"Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems","volume":"122","author":"Vogelmann","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1007\/s10021-017-0191-3","article-title":"Historical cover trends in a sagebrush steppe ecosystem from 1985 to 2013: Links with climate, disturbance, and management","volume":"21","author":"Shi","year":"2017","journal-title":"Ecosystems"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Rigge, M., Homer, C., Shi, H., and Meyer, D. (2019). Validating a Landsat time-series of fractional component cover across western U.S. rangelands. Remote Sens., 11.","DOI":"10.3390\/rs11243009"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e03311","DOI":"10.1002\/ecs2.3311","article-title":"Assessing fractional component change in a shrubland ecosystem with both long-term field observations and a Landsat time-series in Wyoming USA","volume":"11","author":"Shi","year":"2020","journal-title":"Ecosphere"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Rigge, M., Homer, C., Cleeves, L., Meyer, D., Bunde, B., Shi, H., Xian, G., and Bobo, M. (2020). Quantifying Western U.S. Rangelands as Fractional Components with Landsat. Remote Sens., 12.","DOI":"10.3390\/rs12030412"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1007\/s00267-014-0364-1","article-title":"Ecoregions of the conterminous United States: Evolution of a hierarchical spatial framework","volume":"54","author":"Omernik","year":"2014","journal-title":"Environ. Manag."},{"key":"ref_16","unstructured":"Jeffries, M.I., and Finn, S.P. (2019, May 13). The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery: U.S. Geological Survey Data Release, Available online: https:\/\/www.sciencebase.gov\/catalog\/item\/5ccb4a64e4b09b8c0b7808a6."},{"key":"ref_17","unstructured":"RuleQuest Research (2008). Cubist, Version 2.05, Rule-Quest Pty."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1565","DOI":"10.1175\/JAM2548.1","article-title":"High-resolution spatial modeling of daily weather elements for a catchment in the Oregon Cascade Mountains, United States","volume":"46","author":"Daly","year":"2007","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"378","DOI":"10.2747\/1548-1603.49.3.378","article-title":"Effects of land cover and regional climate variations on long-term spatiotemporal changes in sagebrush ecosystems","volume":"49","author":"Xian","year":"2012","journal-title":"GISci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1080\/15481603.2018.1517445","article-title":"Geospatial data mining for digital raster mapping","volume":"56","author":"Wylie","year":"2018","journal-title":"GISci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"e01618","DOI":"10.1002\/ecs2.1618","article-title":"Ecosystem resilience is evident 17 years after fire in Wyoming big sagebrush ecosystems","volume":"7","author":"Ellsworth","year":"2016","journal-title":"Ecosphere"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1007\/s00267-014-0436-2","article-title":"Restoration of riparian areas following the removal of cattle in the Northwestern Great basin","volume":"55","author":"Batchelor","year":"2015","journal-title":"Environ. Manag."},{"key":"ref_23","unstructured":"Pilliod, D. (2009, October 20). Land Treatment Digital Library\u2014A Dynamic System to Enter, Store, Retrieve, and Analyze Federal Land-Treatment Data (Ver. 1.1, August 2015): U.S. Geological Survey Fact Sheet 2009-3095, Available online: https:\/\/pubs.usgs.gov\/fs\/2009\/3095\/."},{"key":"ref_24","first-page":"206","article-title":"Effective management strategies for sage-grouse and sagebrush: A question of triage?","volume":"70","author":"Wisdom","year":"2005","journal-title":"Trans. N. Am. Wildl. Nat. Resour. Conf."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Augustine, D., Davidson, A., Dickinson, K., and Van Pelt, B. (2020). Thinking like a grassland: Challenges and opportunities for biodiversity conservation in the Great Plains of North America. Rangeland Ecol. Manag.","DOI":"10.1016\/j.rama.2019.09.001"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1175\/JCLI-D-19-0106.1","article-title":"Recent trends in the near-surface climatology of the Northern North American Great Plains","volume":"33","author":"Bromley","year":"2020","journal-title":"J. Clim."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"e02889","DOI":"10.1002\/ecs2.2889","article-title":"Assessing precipitation, evapotranspiration, and NDVI as controls of U.S. Great Plains plant production","volume":"10","author":"Chen","year":"2019","journal-title":"Ecosphere"},{"key":"ref_28","unstructured":"Reeves, M., Hanberry, B., Wilmer, H., Kaplan, N., and Lauenroth, W. An assessment of production trends on the Great Plains from 1984\u20132017. Rangeland Ecol. Manag., in press."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"5404","DOI":"10.1111\/gcb.15115","article-title":"The greening of the Northern Great Plains and its biogeochemical precursors","volume":"10","author":"Brookshire","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1016\/j.rama.2019.06.002","article-title":"Long-term declining trends in Chihuahuan Desert forage production in relation to precipitation and ambient temperature","volume":"72","author":"McIntosh","year":"2019","journal-title":"Rangeland Ecol. Manag."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1046\/j.1365-2486.2003.00594.x","article-title":"Net changes in regional woody vegetation cover and carbon storage in Texas drylands 1937\u20131999","volume":"9","author":"Asner","year":"2003","journal-title":"Glob. Chang. Biol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"36","DOI":"10.3733\/ca.v069n01p36","article-title":"Post-fire vegetation dynamics of a sagebrush steppe community change significantly over time","volume":"69","author":"Hanna","year":"2015","journal-title":"Calif. Agric."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Pastick, N.J., Dahal, D., Wylie, B.K., Parajuli, S., Boyte, S.P., and Wu, Z. (2020). Characterizing land surface phenology and exotic annual grasses in dryland ecosystems using Landsat and Sentinel-2 data in harmony. Remote Sens., 12.","DOI":"10.3390\/rs12040725"},{"key":"ref_34","unstructured":"Maestas, J., Jones, M., Pastick, N.J., Rigge, M.B., Wylie, B.K., Garner, L., Crist, M., Homer, C., Boyte, S., and Witacre, B. (2020, May 26). Annual Herbaceous Cover across Rangelands of the Sagebrush Biome. Available online: https:\/\/doi.org\/10.5066\/P9VL3LD5."},{"key":"ref_35","unstructured":"Homer, C., Rigge, M., Shi, H., Meyer, D., Bunde, B., Granneman, B., Postma, K., Danielson, P., Case, A., and Xian, G. (2020, June 18). Remote Sensing Shrub\/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Products for the Western U.S. Available online: https:\/\/doi.org\/10.5066\/P9C9O66W."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/813\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:27:03Z","timestamp":1760160423000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/813"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,23]]},"references-count":35,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["rs13040813"],"URL":"https:\/\/doi.org\/10.3390\/rs13040813","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,23]]}}}