Southern
Research Station

Publications

• Westfall, James A.; Schroeder, Todd A.; McCollum, Joseph M.; Patterson, Paul L. 2022. A spatial and temporal assessment of nonresponse in the national forest inventory of the U.S.
• Roesch, Francis ; Schroeder, Todd A. 2021. The wrapper model for multiobjective forest monitoring systems.
• Roesch, Francis A.; Schroeder, Todd. 2020. Auxiliary network sampling for multi-objective national forest inventories: a practical examination of search distances.
• Moisen, Gretchen G.; McConville, Kelly S.; Schroeder, Todd A.; Healey, Sean P.; Finco, Mark V; Frescino, Tracey S. 2020. Estimating land use and land cover change in north central Georgia: Can remote sensing observations augment traditional forest inventory data?.
• Schleeweis, Karen G.; Moisen, Gretchen G.; Schroeder, Todd A.; Toney, Chris ; Freeman, Elizabeth A.; Goward, Samuel N.; Huang, Chengquan ; Dungan, Jennifer L. 2020. US National Maps Attributing Forest Change: 1986-2010.
• Lister, Andrew J.; Andersen, Hans ; Frescino, Tracey ; Gatziolis, Demetrios ; Healey, Sean ; Heath, Linda S.; Liknes, Greg C.; McRoberts, Ronald ; Moisen, Gretchen G.; Nelson, Mark ; Riemann, Rachel ; Schleeweis, Karen ; Schroeder, Todd A.; Westfall, James ; Wilson, B. Tyler. 2020. Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory.
• Nagle, Nicholas N.; Schroeder, Todd A.; Rose, Brooke . 2019. A Regularized Raking Estimator for Small-Area Mapping from Forest Inventory Surveys.
• Pokharel, B. ; Jacobs, D. M.; Schroeder, T. A.; Vogt, J. T. 2019. Predictive mapping of trees per acre (TPA) using a non-parametric approach.
• Pengra, Bruce W.; Stehman, Stephen V; Horton, Josephine A.; Dockter, Daryn J.; Schroeder, Todd A.; Yang, Zhiqiang ; Cohen, Warren B.; Healey, Sean P.; Loveland, Thomas R. 2019. Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program.
• Healey, Sean P.; Cohen, Warren B.; Yang, Zhiqiang ; Brewer, C. Kenneth; Brooks, Evan B.; Gorelick, Noel ; Hernandez, Alexander J.; Huang, Chengquan ; Hughes, M. Joseph; Kennedy, Robert E.; Loveland, Thomas R.; Moisen, Gretchen G.; Schroeder, Todd A.; Stehman, Stephen V; Vogelmann, James E.; Woodcock, Curtis E.; Yang, Limin ; Zhu, Zhe . 2018. Mapping forest change using stacked generalization: An ensemble approach.
• Roesch, Francis A.; Schroeder, Todd A.; Vogt, James T. 2017. Effects of cycle length and plot density on estimators for a national-scale forest monitoring sample design.
• Cohen, Warren B.; Healey, Sean P.; Yang, Zhiqiang; Stehman, Stephen V.; Brewer, C. Kenneth; Brooks, Evan B.; Gorelick, Noel; Huang, Chengqaun; Hughes, M. Joseph; Kennedy, Robert E.; Loveland, Thomas R.; Moisen, Gretchen G.; Schroeder, Todd A.; Vogelmann, James E.; Woodcock, Curtis E.; Yang, Limin; Zhu, Zhe. 2017. How similar are forest disturbance maps derived from different Landsat time series algorithms?.
• Schroeder, Todd A.; Schleeweis, Karen G.; Moisen, Gretchen G.; Toney, Chris; Cohen, Warren B.; Freeman, Elizabeth A.; Yang, Zhiqiang; Huang, Chengquan. 2017. Testing a Landsat-based approach for mapping disturbance causality in U.S. forests.
• Cohen, Warren B.; Yang, Zhiqiang ; Stehman, Stephen V; Schroeder, Todd A.; Bell, David M.; Masek, Jeffrey G.; Huang, Chengquan ; Meigs, Garrett W. 2016. Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline.
• Moisen, Gretchen G.; Meyer, Mary C.; Schroeder, Todd A.; Liao, Xiyue; Schleeweis, Karen G.; Freeman, Elizabeth A.; Toney, Chris. 2016. Shape selection in Landsat time series: A tool for monitoring forest dynamics.
• Matyjasik, Marek; Moisen, Gretchen; Schroeder, Todd A.; Frescino, Tracy; Hernandez, Michael. 2015. Forest disturbances trigger erosion controlled fluxes of nitrogen, phosphorus and dissolved carbon.
• Toney, J. Chris; Schleeweis, Karen G.; Dungan, Jennifer; Michaelis, Andrew; Schroeder, Todd; Moisen, Gretchen G. 2015. Nationwide disturbance attribution on NASA’s earth exchange: experiences in a high-end computing environment.
• Healey, Sean P.; Cohen, Warren B.; Zhiqiang, Yang; Brewer, Ken; Brooks, Evan; Gorelick, Noel; Gregory, Mathew; Hernandez, Alexander; Huang, Chengquan; Hughes, Joseph; Kennedy, Robert; Loveland, Thomas; Megown, Kevin; Moisen, Gretchen; Schroeder, Todd; Schwind, Brian; Stehman, Stephen; Steinwand, Daniel; Vogelmann, James; Woodcock, Curtis; Yang, Limin; Zhu, Zhe. 2015. Next-generation forest change mapping across the United States: the landscape change monitoring system (LCMS).
• Schleeweis, Karen; Moisen, Gretchen G.; Schroeder, Todd A.; Toney, Chris; Freeman, Elizabeth A. 2015. On the road to national mapping and attribution of the processes underlying U.S.
• Schroeder, Todd A.; Moisen, Gretchen G.; Schleeweis, Karen; Toney, Chris; Cohen, Warren B.; Yang, Zhiqiang; Freeman, Elizabeth A. 2015. Using an empirical and rule-based modeling approach to map cause of disturbance in U.S.
• Cohen, W.; Andersen, H.; Healey, S.; Moisen, G.; Schroeder, T.; Woodall, C.; Domke, G.; Yang, Z.; Stehman, S.; Kennedy, R.; Woodcock, C.; Zhu, Z.; Vogelmann, J.; Steinwand, D.; Huang, C. 2014. An historically consistent and broadly applicable MRV system based on LiDAR sampling and Landsat time-series.
• Kennedy, Robert E.; Andrefouet, Serge; Cohen, Warren B.; Gomez, Cristina; Griffiths, Patrick; Hais, Martin; Healey, Sean P.; Helmer, Eileen H.; Hostert, Patrick; Lyons, Mitchell B.; Meigs, Garrett W.; Pflugmacher, Dirk; Phinn, Stuart R.; Powell, Scott L.; Scarth, Peter; Sen, Susmita; Schroeder, Todd A.; Schneider, Annemarie; Sonnenschein, Ruth; Vogelmann, James E.; Wulder, Michael A.; Zhu, Zhe. 2014. Bringing an ecological view of change to Landsat-based remote sensing.
• Matyjasik, M.; Moisen, G.; Combe, C.; Hathcock, T.; Mitts, S.; Hernandez, M.; Frescino, T.; Schroeder, T. 2014. Effects of historic forest disturbance on water quality and flow in the Interior Western U.S.
• Schroeder, Todd A.; Healey, Sean P.; Moisen, Gretchen G.; Frescino, Tracey S.; Cohen, Warren B.; Huang, Chengquan; Kennedy, Robert E.; Yang, Zhiqiang. 2014. Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data.
• Schroeder, T.; Moisen, G.; Schleeweis, K. 2014. Testing alternative response designs for training forest disturbance and attribution models.
• Schroeder, Todd A.; Moisen, Gretchen G.; Healey, Sean P.; Cohen, Warren B. 2012. Adding value to the FIA inventory: combining FIA data and satellite observations to estimate forest disturbance.
• Moisen, Gretchen G.; Schroeder, Todd A.; Schleeweis, Karen; Toney, Chris; Cohen, Warren B.; Goward, Samuel N. 2012. Attributing causal agents to nationwide maps of forest disturbance.
• Schroeder, Todd A.; Wulder, Michael A.; Healey, Sean P.; Moisen, Gretchen G. 2012. Detecting post-fire salvage logging with Landsat change maps and national fire survey data.
• Schroeder, Todd A.; Healey, Sean P.; Moisen, Gretchen G. 2012. Evaluating the compatibility of American and Mexican national forest inventory data.
• Schroeder, Todd; Wulder, Michael A.; Healey, Sean P.; Moisen, Gretchen G. 2011. Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data.
• Schroeder, Todd A.; Hamann, Andreas; Wang, Tongli; Coops, Nicholas C. 2010. Occurrence and dominance of six Pacific Northwest conifer species.
• Coops, Nicholas C.; Waring, Richard H.; Schroeder, Todd A. 2009. Combining a generic process-based productivity model classification method to predict the presence and absence species in the Pacific Northwest, U.S.A.
• Schroeder, Todd A.; Hember, Robbie; Coops, Nicholas C.; Liang, Shunlin. 2009. Validation of solar radiation surfaces from MODIS and reanalysis data over topographically complex terrain.
• Goodwin, Nicholas R.; Coops, Nicholas C.; Wulder, Michael A.; Gillanders, Steve ; Schroeder, Todd A.; Nelson, Trisalyn . 2008. Estimation of insect infestation dynamics using a temporal sequence of Landsat data.
• Liu, Weiguo; Song, Conghe; Schroeder, Todd A.; Cohen, Warren B. 2008. Predicting forest successional stages using mutitemporal Landsat imagery with forest inventory and analysis data.
• Song, Conghe; Schroeder, Todd A. ; Cohen , Warren B. 2007. Predicting temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery.
• Kennedy, Robert E.; Cohen, Warren B.; Schroeder, Todd A. 2007. Trajectory-based change detection for automated characterization of forest disturbance dynamics.
• Schroeder, Todd A.; Cohen, Warren B.; Song, Conghe; Canty, Morton J.; Yang, Zhiqiang. 2006. Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon.

Research Highlights

Mapping forest disturbance agents with Landsat time series (2017)

Disturbance plays an important role in shaping forests’ ability to sequester carbon and provide critical ecosystem services such as clean air and water. Satellite remote sensing offers a flexible and cost-effective way to monitor disturbance over large areas. However, most disturbance mapping algorithms only show where and when change has occurred. Using information derived from Landsat time series, Forest Service researchers accurately mapped five different types of forest disturbance including fire, harvest, insects and disease, wind, and conversion (the loss of forest to other land uses).

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