Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack

Zhao, Feng R.; Meng, Ran; Huang, Chengquan; Zhao, Maosheng; Zhao, Feng A.; Gong, Peng; Yu, Le; Zhu, Zhiliang

doi:10.3390/rs8110898

Title: Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack

Journal Article · Sat Oct 29 00:00:00 EDT 2016 · Remote Sensing

DOI:https://doi.org/10.3390/rs8110898· OSTI ID:1344230

Zhao, Feng R. ^[1]; Meng, Ran ^[2]; Huang, Chengquan ^[1]; Zhao, Maosheng ^[1]; Zhao, Feng A. ^[1]; Gong, Peng ^[3]; Yu, Le ^[3]; Zhu, Zhiliang ^[4]

Univ. of Maryland, College Park, MD (United States). Dept. of Geographical Sciences
Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.
Tsinghua Univ., Beijing (China). Ministry of Education Key Labor. for Earth System Modeling, Center for Earth System Science
U.S. Geological Survey, Reston, VA (United States)

Forest recovery from past disturbance is an integral process of ecosystem carbon cycles, and remote sensing provides an effective tool for tracking forest disturbance and recovery over large areas. Although the disturbance products (tracking the conversion from forest to non-forest type) derived using the Landsat Time Series Stack-Vegetation Change Tracker (LTSS-VCT) algorithm have been validated extensively for mapping forest disturbances across the United States, the ability of this approach to characterize long-term post-disturbance recovery (the conversion from non-forest to forest) has yet to be assessed. Here in this study, the LTSS-VCT approach was applied to examine long-term (up to 24 years) post-disturbance forest spectral recovery following stand-clearing disturbances (fire and harvests) in the Greater Yellowstone Ecosystem (GYE). Using high spatial resolution images from Google Earth, we validated the detectable forest recovery status mapped by VCT by year 2011. Validation results show that the VCT was able to map long-term post-disturbance forest recovery with overall accuracy of ~80% for different disturbance types and forest types in the GYE. Harvested areas in the GYE have higher percentages of forest recovery than burned areas by year 2011, and National Forests land generally has higher recovery rates compared with National Parks. The results also indicate that forest recovery is highly related with forest type, elevation and environmental variables such as soil type. Findings from this study can provide valuable insights for ecosystem modeling that aim to predict future carbon dynamics by integrating fine scale forest recovery conditions in GYE, in the face of climate change. Lastly, with the availability of the VCT product nationwide, this approach can also be applied to examine long-term post-disturbance forest recovery in other study regions across the U.S.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0012704

OSTI ID:: 1344230

Report Number(s):: BNL-113514-2017-JA; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000

Journal Information:: Remote Sensing, Vol. 8, Issue 12; ISSN 2072-4292

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 35 works

Citation information provided by
Web of Science

References (81)

Land use and land Cover Change in the Greater Yellowstone Ecosystem: 1975–1995 Parmenter, Andrea Wright; Hansen, Andrew; Kennedy, Robert E. Ecological Applications, Vol. 13, Issue 3 https://doi.org/10.1890/1051-0761(2003)013[0687:LUALCC]2.0.CO;2	journal	June 2003
Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat Time Series Zhao, Feng; Huang, Chengquan; Zhu, Zhiliang IEEE Geoscience and Remote Sensing Letters, Vol. 12, Issue 8 https://doi.org/10.1109/LGRS.2015.2418159	journal	August 2015
A Large and Persistent Carbon Sink in the World's Forests Pan, Y.; Birdsey, R. A.; Fang, J. Science, Vol. 333, Issue 6045 https://doi.org/10.1126/science.1201609	journal	July 2011
The U.S. Carbon Budget: Contributions from Land-Use Change Houghton, R. A. Science, Vol. 285, Issue 5427 https://doi.org/10.1126/science.285.5427.574	journal	July 1999
Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges Liu, Shuguang; Bond-Lamberty, Ben; Hicke, Jeffrey A. Journal of Geophysical Research, Vol. 116 https://doi.org/10.1029/2010JG001585	journal	January 2011
Trends in post-disturbance recovery rates of Canada’s forests following wildfire and harvest Bartels, Samuel F.; Chen, Han Y. H.; Wulder, Michael A. Forest Ecology and Management, Vol. 361 https://doi.org/10.1016/j.foreco.2015.11.015	journal	February 2016
Patterns of forest regrowth following clearcutting in western Oregon as determined from a Landsat time-series Schroeder, Todd A.; Cohen, Warren B.; Yang, Zhiqiang Forest Ecology and Management, Vol. 243, Issue 2-3 https://doi.org/10.1016/j.foreco.2007.03.019	journal	May 2007
Analysis of sapling density regeneration in Yellowstone National Park with hyperspectral remote sensing data Potter, Christopher; Li, Shuang; Huang, Shengli Remote Sensing of Environment, Vol. 121 https://doi.org/10.1016/j.rse.2012.01.019	journal	June 2012
Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure: REMOTE SENSING OF FOREST DISTURBANCE Frolking, S.; Palace, M. W.; Clark, D. B. Journal of Geophysical Research: Biogeosciences, Vol. 114, Issue G2 https://doi.org/10.1029/2008JG000911	journal	June 2009
Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan Kennedy, Robert E.; Yang, Zhiqiang; Cohen, Warren B. Remote Sensing of Environment, Vol. 122 https://doi.org/10.1016/j.rse.2011.09.024	journal	July 2012
Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data Vogelmann, James E.; Gallant, Alisa L.; Shi, Hua Remote Sensing of Environment, Vol. 185 https://doi.org/10.1016/j.rse.2016.02.060	journal	November 2016
Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems Vogelmann, James E.; Xian, George; Homer, Collin Remote Sensing of Environment, Vol. 122 https://doi.org/10.1016/j.rse.2011.06.027	journal	July 2012
High-Resolution Global Maps of 21st-Century Forest Cover Change Hansen, M. C.; Potapov, P. V.; Moore, R. Science, Vol. 342, Issue 6160 https://doi.org/10.1126/science.1244693	journal	November 2013
Remote sensing techniques to assess active fire characteristics and post-fire effects Lentile, Leigh B.; Holden, Zachary A.; Smith, Alistair M. S. International Journal of Wildland Fire, Vol. 15, Issue 3 https://doi.org/10.1071/WF05097	journal	January 2006
Remote Sensing Techniques in Monitoring Post-Fire Effects and Patterns of Forest Recovery in Boreal Forest Regions: A Review Chu, Thuan; Guo, Xulin Remote Sensing, Vol. 6, Issue 1 https://doi.org/10.3390/rs6010470	journal	December 2013
Sensitivity of SAR data to post-fire forest regrowth in Mediterranean and boreal forests Tanase, Mihai; de la Riva, Juan; Santoro, Maurizio Remote Sensing of Environment, Vol. 115, Issue 8 https://doi.org/10.1016/j.rse.2011.04.009	journal	August 2011
Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park Kane, Van R.; North, Malcolm P.; Lutz, James A. Remote Sensing of Environment, Vol. 151 https://doi.org/10.1016/j.rse.2013.07.041	journal	August 2014
Selective Logging in the Brazilian Amazon Asner, G. P. Science, Vol. 310, Issue 5747 https://doi.org/10.1126/science.1118051	journal	October 2005
Combining spectral and spatial information to map canopy damage from selective logging and forest fires Souza, Carlos M.; Roberts, Dar A.; Cochrane, Mark A. Remote Sensing of Environment, Vol. 98, Issue 2-3 https://doi.org/10.1016/j.rse.2005.07.013	journal	October 2005
Monitoring selective logging in western Amazonia with repeat lidar flights Andersen, Hans-Erik; Reutebuch, Stephen E.; McGaughey, Robert J. Remote Sensing of Environment, Vol. 151 https://doi.org/10.1016/j.rse.2013.08.049	journal	August 2014
Detecting post-fire salvage logging from Landsat change maps and national fire survey data Schroeder, Todd A.; Wulder, Michael A.; Healey, Sean P. Remote Sensing of Environment, Vol. 122 https://doi.org/10.1016/j.rse.2011.10.031	journal	July 2012
Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California Meng, Ran; Dennison, Philip E.; Huang, Chengquan Remote Sensing of Environment, Vol. 171 https://doi.org/10.1016/j.rse.2015.10.024	journal	December 2015
Landsat-8: Science and product vision for terrestrial global change research Roy, D. P.; Wulder, M. A.; Loveland, T. R. Remote Sensing of Environment, Vol. 145 https://doi.org/10.1016/j.rse.2014.02.001	journal	April 2014
Continuous change detection and classification of land cover using all available Landsat data Zhu, Zhe; Woodcock, Curtis E. Remote Sensing of Environment, Vol. 144 https://doi.org/10.1016/j.rse.2014.01.011	journal	March 2014
Forest disturbance across the conterminous United States from 1985–2012: The emerging dominance of forest decline Cohen, Warren B.; Yang, Zhiqiang; Stehman, Stephen V. Forest Ecology and Management, Vol. 360 https://doi.org/10.1016/j.foreco.2015.10.042	journal	January 2016
Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection Healey, S.; Cohen, W.; Zhiqiang, Y. Remote Sensing of Environment, Vol. 97, Issue 3 https://doi.org/10.1016/j.rse.2005.05.009	journal	August 2005
Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data Schroeder, Todd A.; Wulder, Michael A.; Healey, Sean P. Remote Sensing of Environment, Vol. 115, Issue 6 https://doi.org/10.1016/j.rse.2011.01.022	journal	June 2011
A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS Hilker, Thomas; Wulder, Michael A.; Coops, Nicholas C. Remote Sensing of Environment, Vol. 113, Issue 8 https://doi.org/10.1016/j.rse.2009.03.007	journal	August 2009
Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites Griffiths, Patrick; Kuemmerle, Tobias; Baumann, Matthias Remote Sensing of Environment, Vol. 151 https://doi.org/10.1016/j.rse.2013.04.022	journal	August 2014
Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring Hermosilla, Txomin; Wulder, Michael A.; White, Joanne C. International Journal of Digital Earth, Vol. 9, Issue 11 https://doi.org/10.1080/17538947.2016.1187673	journal	May 2016
Rapid loss of Paraguay's Atlantic forest and the status of protected areas — A Landsat assessment Huang, Chengquan; Kim, Sunghee; Altstatt, Alice Remote Sensing of Environment, Vol. 106, Issue 4 https://doi.org/10.1016/j.rse.2006.09.016	journal	February 2007
Gross forest cover loss in temperate forests: biome-wide monitoring results using MODIS and Landsat data Potapov, Peter Journal of Applied Remote Sensing, Vol. 3, Issue 1 https://doi.org/10.1117/1.3283904	journal	January 2009
Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data Wulder, M. A.; White, J. C.; Alvarez, F. Remote Sensing of Environment, Vol. 113, Issue 7 https://doi.org/10.1016/j.rse.2009.03.004	journal	July 2009
Detecting trend and seasonal changes in satellite image time series Verbesselt, Jan; Hyndman, Rob; Newnham, Glenn Remote Sensing of Environment, Vol. 114, Issue 1 https://doi.org/10.1016/j.rse.2009.08.014	journal	January 2010
Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series DeVries, Ben; Verbesselt, Jan; Kooistra, Lammert Remote Sensing of Environment, Vol. 161 https://doi.org/10.1016/j.rse.2015.02.012	journal	May 2015
Continuous monitoring of forest disturbance using all available Landsat imagery Zhu, Zhe; Woodcock, Curtis E.; Olofsson, Pontus Remote Sensing of Environment, Vol. 122 https://doi.org/10.1016/j.rse.2011.10.030	journal	July 2012
Using the Landsat record to detect forest-cover changes during and after the collapse of the Soviet Union in the temperate zone of European Russia Baumann, Matthias; Ozdogan, Mutlu; Kuemmerle, Tobias Remote Sensing of Environment, Vol. 124 https://doi.org/10.1016/j.rse.2012.05.001	journal	September 2012
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms Kennedy, Robert E.; Yang, Zhiqiang; Cohen, Warren B. Remote Sensing of Environment, Vol. 114, Issue 12 https://doi.org/10.1016/j.rse.2010.07.008	journal	December 2010
Forest health and global change Trumbore, S.; Brando, P.; Hartmann, H. Science, Vol. 349, Issue 6250 https://doi.org/10.1126/science.aac6759	journal	August 2015
Twenty-four years after the Yellowstone Fires: Are postfire lodgepole pine stands converging in structure and function? Turner, Monica G.; Whitby, Timothy G.; Tinker, Daniel B. Ecology, Vol. 97, Issue 5 https://doi.org/10.1890/15-1585.1	journal	May 2016
An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks Huang, Chengquan; Goward, Samuel N.; Masek, Jeffrey G. Remote Sensing of Environment, Vol. 114, Issue 1 https://doi.org/10.1016/j.rse.2009.08.017	journal	January 2010
Development of time series stacks of Landsat images for reconstructing forest disturbance history Huang, Chengquan; Goward, Samuel N.; Masek, Jeffrey G. International Journal of Digital Earth, Vol. 2, Issue 3 https://doi.org/10.1080/17538940902801614	journal	July 2009
Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks Thomas, Nancy E.; Huang, Chengquan; Goward, Samuel N. Remote Sensing of Environment, Vol. 115, Issue 1 https://doi.org/10.1016/j.rse.2010.07.009	journal	January 2011
Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States Huang, Chengquan; Goward, Samuel N.; Schleeweis, Karen Remote Sensing of Environment, Vol. 113, Issue 7 https://doi.org/10.1016/j.rse.2008.06.016	journal	July 2009
North Carolina’s forest disturbance and timber production assessed using time series Landsat observations Huang, Chengquan; Ling, Pui-Yu; Zhu, Zhiliang International Journal of Digital Earth, Vol. 8, Issue 12 https://doi.org/10.1080/17538947.2015.1034200	journal	May 2015
Mapping Regional Distribution of a Single Tree Species: Whitebark Pine in the Greater Yellowstone Ecosystem Landenburger, Lisa; Lawrence, Rick; Podruzny, Shannon Sensors, Vol. 8, Issue 8 https://doi.org/10.3390/s8084983	journal	August 2008
Spatial patterns of primary productivity in the Greater Yellowstone Ecosystem Hansen, A. J.; Rotella, J. J.; Kraska, M. P. V. Landscape Ecology, Vol. 15, Issue 6, p. 505-522 https://doi.org/10.1023/A:1008127228878	journal	January 2000
Fire severity and tree regeneration following bark beetle outbreaks: the role of outbreak stage and burning conditions Harvey, Brian J.; Donato, Daniel C.; Romme, William H. Ecological Applications, Vol. 24, Issue 7 https://doi.org/10.1890/13-1851.1	journal	October 2014
Effects of fire size and Pattern on Early Succession in Yellowstone National park Turner, Monica G.; Romme, William H.; Gardner, Robert H. Ecological Monographs, Vol. 67, Issue 4 https://doi.org/10.1890/0012-9615(1997)067[0411:EOFSAP]2.0.CO;2	journal	November 1997
Monitoring forest regrowth following large scale fire using satellite data-A case study of Yellowstone National Park, USA- Franks, Shannon; Masek, Jeffrey G.; Turner, Monica G. European Journal of Remote Sensing, Vol. 46, Issue 1 https://doi.org/10.5721/EuJRS20134632	journal	January 2013
The Influence of fire Interval and Serotiny on Postfire Lodgepole pine Density in Yellowstone National park Schoennagel, Tania; Turner, Monica G.; Romme, William H. Ecology, Vol. 84, Issue 11 https://doi.org/10.1890/02-0277	journal	November 2003
Twenty Years After the 1988 Yellowstone Fires: Lessons About Disturbance and Ecosystems Romme, William H.; Boyce, Mark S.; Gresswell, Robert Ecosystems, Vol. 14, Issue 7 https://doi.org/10.1007/s10021-011-9470-6	journal	August 2011
Watersheds and Vegetation of the Greater Yellowstone Ecosystem Marston, Richard A.; Anderson, Jay E. Conservation Biology, Vol. 5, Issue 3 https://doi.org/10.1111/j.1523-1739.1991.tb00147.x	journal	September 1991
Fuel moisture, forest type, and lightning-caused fire in Yellowstone National Park Renkin, Roy A.; Despain, Don G. Canadian Journal of Forest Research, Vol. 22, Issue 1 https://doi.org/10.1139/x92-005	journal	January 1992
A Landsat Surface Reflectance Dataset for North America, 1990–2000 Masek, J. G.; Vermote, E. F.; Saleous, N. E. IEEE Geoscience and Remote Sensing Letters, Vol. 3, Issue 1 https://doi.org/10.1109/LGRS.2005.857030	journal	January 2006
Automated masking of cloud and cloud shadow for forest change analysis using Landsat images Huang, Chengquan; Thomas, Nancy; Goward, Samuel N. International Journal of Remote Sensing, Vol. 31, Issue 20 https://doi.org/10.1080/01431160903369642	journal	October 2010
A comparison of vegetation indices over a global set of TM images for EOS-MODIS Huete, A. Remote Sensing of Environment, Vol. 59, Issue 3 https://doi.org/10.1016/S0034-4257(96)00112-5	journal	March 1997
Application of vegetation index and brightness temperature for drought detection Kogan, F. N. Advances in Space Research, Vol. 15, Issue 11 https://doi.org/10.1016/0273-1177(95)00079-T	journal	January 1995
Use of a dark object concept and support vector machines to automate forest cover change analysis Huang, Chengquan; Song, Kuan; Kim, Sunghee Remote Sensing of Environment, Vol. 112, Issue 3 https://doi.org/10.1016/j.rse.2007.07.023	journal	March 2008
Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR) Miller, Jay D.; Thode, Andrea E. Remote Sensing of Environment, Vol. 109, Issue 1 https://doi.org/10.1016/j.rse.2006.12.006	journal	July 2007
Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA Miller, Jay D.; Knapp, Eric E.; Key, Carl H. Remote Sensing of Environment, Vol. 113, Issue 3 https://doi.org/10.1016/j.rse.2008.11.009	journal	March 2009
Notes on Continuous Stochastic Phenomena Moran, P. A. P. Biometrika, Vol. 37, Issue 1-2 https://doi.org/10.1093/biomet/37.1-2.17	journal	January 1950
Beyond Moran's I: Testing for Spatial Dependence Based on the Spatial Autoregressive Model Li, Hongfei; Calder, Catherine A.; Cressie, Noel Geographical Analysis, Vol. 39, Issue 4 https://doi.org/10.1111/j.1538-4632.2007.00708.x	journal	October 2007
Continued warming could transform Greater Yellowstone fire regimes by mid-21st century Westerling, Anthony L.; Turner, Monica G.; Smithwick, Erica A. H. Proceedings of the National Academy of Sciences, Vol. 108, Issue 32 https://doi.org/10.1073/pnas.1110199108	journal	July 2011
Surprises and lessons from the 1988 Yellowstone fires Turner, Monica G.; Romme, William H.; Tinker, Daniel B. Frontiers in Ecology and the Environment, Vol. 1, Issue 7 https://doi.org/10.1890/1540-9295(2003)001[0351:SALFTY]2.0.CO;2	journal	September 2003
The disturbance of forest ecosystems: the ecological basis for conservative management Attiwill, Peter M. Forest Ecology and Management, Vol. 63, Issue 2-3 https://doi.org/10.1016/0378-1127(94)90114-7	journal	February 1994
Regional forest growth rates measured by combining ICESat GLAS and Landsat data: REGIONAL FOREST GROWTH RATES Dolan, Katelyn; Masek, Jeffrey G.; Huang, Chengquan Journal of Geophysical Research: Biogeosciences, Vol. 114, Issue G2 https://doi.org/10.1029/2008JG000893	journal	June 2009
Biomass accumulation rates of Amazonian secondary forest and biomass of old-growth forests from Landsat time series and the Geoscience Laser Altimeter System Lefsky, Michael A. Journal of Applied Remote Sensing, Vol. 3, Issue 1 https://doi.org/10.1117/1.3082116	journal	January 2009
Mapping tropical dry forest height, foliage height profiles and disturbance type and age with a time series of cloud-cleared Landsat and ALI image mosaics to characterize avian habitat Helmer, E. H.; Ruzycki, Thomas S.; Wunderle, Joseph M. Remote Sensing of Environment, Vol. 114, Issue 11 https://doi.org/10.1016/j.rse.2010.05.021	journal	November 2010
Boreal Shield forest disturbance and recovery trends using Landsat time series Frazier, Ryan J.; Coops, Nicholas C.; Wulder, Michael A. Remote Sensing of Environment, Vol. 170 https://doi.org/10.1016/j.rse.2015.09.015	journal	December 2015
Forest recovery trends derived from Landsat time series for North American boreal forests Pickell, Paul D.; Hermosilla, Txomin; Frazier, Ryan J. International Journal of Remote Sensing, Vol. 37, Issue 1 https://doi.org/10.1080/2150704X.2015.1126375	journal	December 2015
Seed Availability as a Limiting Factor in Forest Recovery Processes in Costa Rica Wijdeven, Sander M. J.; Kuzee, Mirjam E. Restoration Ecology, Vol. 8, Issue 4 https://doi.org/10.1046/j.1526-100x.2000.80056.x	journal	December 2000
The role of climate in a pine forest regeneration pulse in the southwestern United States Savage, Melissa; Brown, Peter M.; Feddema, Johannes Écoscience, Vol. 3, Issue 3 https://doi.org/10.1080/11956860.1996.11682348	journal	January 1996
Seed Banks: General Concepts and Methodological Issues Simpson, Robert L.; Leck, Mary Allessio; Parker, V. Thomas Ecology of Soil Seed Banks https://doi.org/10.1016/B978-0-12-440405-2.50006-3	book	January 1989
The Ecology of Plants, Large Mammalian Herbivores, and Drought in Yellowstone National Park Frank, Douglas A.; McNaughton, Samuel J. Ecology, Vol. 73, Issue 6 https://doi.org/10.2307/1941454	journal	December 1992
Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data Li, Ainong; Huang, Chengquan; Sun, Guoqing Remote Sensing of Environment, Vol. 115, Issue 8 https://doi.org/10.1016/j.rse.2011.03.001	journal	August 2011
Fire Frequency and Subalpine Forest Succession Along a Topographic Gradient in Wyoming Romme, William H.; Knight, Dennis H. Ecology, Vol. 62, Issue 2 https://doi.org/10.2307/1936706	journal	April 1981
Prefire heterogeneity, fire severity, and early postfire plant reestablishment in subalpine forests of Yellowstone National Park, Wyoming Turner, Monica G.; Romme, William H.; Gardner, Robert H. International Journal of Wildland Fire, Vol. 9, Issue 1 https://doi.org/10.1071/WF99003	journal	January 1999
Factors Influencing Succession: Lessons from Large, Infrequent Natural Disturbances Turner, Monica G.; Baker, William L.; Peterson, Christopher J. Ecosystems, Vol. 1, Issue 6 https://doi.org/10.1007/s100219900047	journal	November 1998
Global land use changes are four times greater than previously estimated Winkler, Karina; Fuchs, Richard; Rounsevell, Mark Nature Communications, Vol. 12, Issue 1 https://doi.org/10.1038/s41467-021-22702-2	journal	May 2021
Notes on Continuous Stochastic Phenomena Moran, P. A. P. Biometrika, Vol. 37, Issue 1/2 https://doi.org/10.2307/2332142	journal	June 1950

Cited By (9)

High fire disturbance in forests leads to longer recovery, but varies by forest type Hislop, Samuel; Jones, Simon; Soto‐Berelov, Mariela Remote Sensing in Ecology and Conservation, Vol. 5, Issue 4 https://doi.org/10.1002/rse2.113	journal	February 2019
Disentangling Climate and Disturbance Effects on Regional Vegetation Greening Trends Emmett, Kristen D.; Renwick, Katherine M.; Poulter, Benjamin Ecosystems, Vol. 22, Issue 4 https://doi.org/10.1007/s10021-018-0309-2	journal	November 2018
Quantifying Spatiotemporal Post‐Disturbance Recovery Using Field Inventory, Tree Growth, and Remote Sensing Huang, S.; Ramirez, C.; McElhaney, M. Earth and Space Science, Vol. 6, Issue 3 https://doi.org/10.1029/2018ea000489	journal	March 2019
Shifts in Forest Structure in Northwest Montana from 1972 to 2015 Using the Landsat Archive from Multispectral Scanner to Operational Land Imager Savage, Shannon; Lawrence, Rick; Squires, John Forests, Vol. 9, Issue 4 https://doi.org/10.3390/f9040157	journal	March 2018
Improved Prediction of Stream Flow Based on Updating Land Cover Maps with Remotely Sensed Forest Change Detection Hernandez, Alexander; Healey, Sean; Huang, Hongsheng Forests, Vol. 9, Issue 6 https://doi.org/10.3390/f9060317	journal	June 2018
Forest Spectral Recovery and Regeneration Dynamics in Stand-Replacing Wildfires of Central Apennines Derived from Landsat Time Series Morresi, Donato; Vitali, Alessandro; Urbinati, Carlo Remote Sensing, Vol. 11, Issue 3 https://doi.org/10.3390/rs11030308	journal	February 2019
Spatio-Temporal Variability in Remotely Sensed Vegetation Greenness Across Yellowstone National Park Notaro, Michael; Emmett, Kristen; O’Leary, Donal Remote Sensing, Vol. 11, Issue 7 https://doi.org/10.3390/rs11070798	journal	April 2019
Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics Lausch, Angela; Erasmi, Stefan; King, Douglas Remote Sensing, Vol. 8, Issue 12 https://doi.org/10.3390/rs8121029	journal	December 2016
Understanding Forest Health with Remote Sensing - Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics Lausch, Angela; Erasmi, Stefan; King, Douglas FID GEO https://doi.org/10.23689/fidgeo-2537	text	January 2016

Similar Records

Integrating a process-based ecosystem model with Landsat imagery to assess impacts of forest disturbance on terrestrial carbon dynamics: Case studies in Alabama and Mississippi

Journal Article · Mon Jul 01 00:00:00 EDT 2013 · Journal of Geophysical Research. Biogeosciences · OSTI ID:1344230

Chen, Guangsheng; Tian, Hanqin; Huang, Chengquan; +2 more

Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions

Journal Article · Wed Nov 06 00:00:00 EST 2019 · Landscape Ecology · OSTI ID:1344230

Chen, Jiquan; Sciusco, Pietro; Ouyang, Zutao; +4 more

Moderate Disturbance Has Similar Effects on Production Regardless of Site Quality and Composition

Journal Article · Tue Jan 30 00:00:00 EST 2018 · Forests · OSTI ID:1344230

Sagara, Benjamin; Fahey, Robert; Vogel, Christoph; +3 more

Related Subjects

54 ENVIRONMENTAL SCIENCES
Wildland Fires
Timber Harvest
Detectable Forest Spectral Recovery
1988 Yellowstone Fires

Title: Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack

Citation Formats

References (81)

Cited By (9)

Similar Records

Related Subjects