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• 1. [Article] Prediction of understory vegetation cover with airborne lidar in an interior ponderosa pine forest.pdf

  This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/remote-sensing-of-environment/. To the best of our knowledge, one ...

  Citation × Citation Citation Abstract Copy Title: Prediction of understory vegetation cover with airborne lidar in an interior ponderosa pine forest.pdf Author: Ritchie, Martin W., Olsen, Michael J., Gitelman, Alix, Cohen, Warren B., Wing, Brian M., Boston, Kevin This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/remote-sensing-of-environment/. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. Title: Prediction of understory vegetation cover with airborne lidar in an interior ponderosa pine forest.pdf Author: Ritchie, Martin W., Olsen, Michael J., Gitelman, Alix, Cohen, Warren B., Wing, Brian M., Boston, Kevin This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/remote-sensing-of-environment/. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. Close

• 2. [Article] United States Forest Disturbance Trends Observed Using Landsat Time Series

  To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Springer ...

  Citation × Citation Citation Abstract Copy Title: United States Forest Disturbance Trends Observed Using Landsat Time Series Author: Goward, Samuel N., Cohen, Warren B., Moisen, Gretchen G., Kennedy, Robert E., Schleeweis, Karen, Huang, Chengquan, Masek, Jeffrey G. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Springer and can be found at: http://www.springer.com/?SGWID=0-102-0-0-0. Title: United States Forest Disturbance Trends Observed Using Landsat Time Series Author: Goward, Samuel N., Cohen, Warren B., Moisen, Gretchen G., Kennedy, Robert E., Schleeweis, Karen, Huang, Chengquan, Masek, Jeffrey G. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Springer and can be found at: http://www.springer.com/?SGWID=0-102-0-0-0. Close

• 3. [Article] Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline

  To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier ...

  Citation × Citation Citation Abstract Copy Title: Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline Author: Yang, Zhiqiang, Stehman, Stephen V., Cohen, Warren B., et al. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/forest-ecology-and-management/ Title: Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline Author: Yang, Zhiqiang, Stehman, Stephen V., Cohen, Warren B., et al. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/forest-ecology-and-management/ Close

• 4. [Article] A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests

  This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.elsevier.com/.

  Citation × Citation Citation Abstract Copy Title: A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests Author: Meigs, Garrett W., Cohen, Warren B., Kennedy, Robert E. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.elsevier.com/. Title: A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests Author: Meigs, Garrett W., Cohen, Warren B., Kennedy, Robert E. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.elsevier.com/. Close