Index Catalog // ScholarsArchive@OSU

Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012

Creator:: Fickas, Kate C., Cohen, Warren B., and Yang, Zhiqiang
Abstract:: n Oregon’s Willamette Valley, remaining wetlands are at high risk to loss and degradation from agricultural activity and urbanization. With an increased need for fine temporal-scale monitoring of sensitive wetlands, we used annual Landsat MSS and TM/ETM+ images from 1972 to 2012 to manually interpret loss, gain, and type conversion...
Resource Type:: Article
Full Text:: Kate C. Fickas . Warren B. Cohen . Zhiqiang Yang Received: 14 May 2014 / Accepted: 28 July 2015

Mapping post-fire habitat characteristics through the fusion of remote sensing tools

Creator:: Vogeler, Jody C., Yang, Zhiqiang, and Cohen, Warren B.
Abstract:: Post-fire snags provide important resources for cavity nesting communities as well as being subject to timber removal through salvage logging practices. Tools that can characterize their distributions along with other features important as wildlife habitat, such as woody shrub cover, would be useful for research and management purposes. Three dimensional...
Resource Type:: Article
Full Text:: tools Jody C. Vogeler a,⁎, Zhiqiang Yang a, Warren B. Cohen a,b a Department of Forest Ecosystems and

A forest vulnerability index based on drought and high temperatures

Creator:: Mildrexler, David, Yang, Zhiqiang, Cohen, Warren B., and Bell, David M.
Abstract:: Increasing forest stress and tree mortality has been directly linked to combinations of drought and high temperatures. The climatic changes expected during the next decades – large increases in mean temperature, increased heat waves, and significant long-term regional drying in the western USA – will likely increase chronic forest stress...
Resource Type:: Article
Full Text:: , Warren B. Cohen b, David M. Bell b a Oregon State University, College of Forestry, Corvallis, OR, USA b

Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems

Creator:: Braaten, Justin D., Cohen, Warren B., and Yang, Zhiqiang
Abstract:: Automated cloud and cloud shadow identification algorithms designed for Landsat Thematic Mapper (TM) and Thematic Mapper Plus (ETM+) satellite images have greatly expanded the use of these Earth observation data by providing a means of including only clear-view pixels in image analysis and efficient cloud-free compositing. In an effort to...
Resource Type:: Article
Full Text:: Landsat MSS imagery for temperate ecosystems Justin D. Braaten a,⁎, Warren B. Cohen b, Zhiqiang Yang a a

Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics

Creator:: Pflugmacher, Dirk, Cohen, Warren B., Kennedy, Robert E., and Yang, Zhiqiang
Abstract:: Improved monitoring of forest biomass and biomass change is needed to quantify natural and anthropogenic effects on the terrestrial carbon cycle. Landsat's temporal and spatial coverage, moderate spatial resolution, and long history of earth observations provide a unique opportunity for characterizing vegetation changes across large areas and long time scales....
Resource Type:: Article
Full Text:: recovery history and lidar tomap forest biomass dynamics Dirk Pflugmacher a,⁎, Warren B. Cohen b, Robert E

Using Landsat-derived disturbance history (1972–2010) to predict current forest structure

Creator:: Pflugmacher, Dirk, Cohen, Warren B., and Kennedy, Robert E.
Abstract:: Lidar is currently the most accurate method for remote estimation of forest structure, but it has limited spatial and temporal coverage. Conversely, Landsat data are more widely available, but exhibit a weaker relationship with structure under medium to high leaf area conditions. One potentially valuable means of enhancing the relationship...
Resource Type:: Article
Full Text:: Pflugmacher a,⁎, Warren B. Cohen b, Robert E. Kennedy a a Department of Forest Ecosystems and Society, Oregon

A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests

Creator:: Meigs, Garrett W., Kennedy, Robert E., and Cohen, Warren B.
Abstract:: Insects are important forest disturbance agents, and mapping their effects on tree mortality and surface fuels represents a critical research challenge. Although various remote sensing approaches have been developed to monitor insect impacts, most studies have focused on single insect agents or single locations and have not related observed changes...
Resource Type:: Article
Full Text:: ,⁎, Robert E. Kennedy a, Warren B. Cohen b a Department of Forest Ecosystems and Society, Oregon State

Detecting landscape changes in the interior of British Columbia from 1975 to 1992 using satellite imagery

Creator:: Sachs, Donald L., Sollins, Phillip, and Cohen, Warren B.
Abstract:: To consider the regional scale effects of forest management requires complete and consistent data over large areas. We used Landsat Thematic Mapper and Multispectral Scanner (TM and MSS) imagery to map forest cover and detect major disturbances between 1975 and 1992 for a 4.2 x 106 ha area of interior...
Resource Type:: Article
Full Text:: 1975 to 1992 using satellite imagery Donald L. Sachs, Phillip Sollins, and Warren B. Cohen Abstract

Individual snag detection using neighborhood attribute filtered airborne lidar data

Creator:: Wing, Brian M., Ritchie, Martin W., Boston, Kevin, Cohen, Warren B., and Olsen, Michael J.
Abstract:: The ability to estimate and monitor standing dead trees (snags) has been difficult due to their irregular and sparse distribution, often requiring intensive sampling methods to obtain statistically significant estimates. This study presents a new method for estimating and monitoring snags using neighborhood attribute filtered airborne discrete-return lidar data. The...
Resource Type:: Article
Full Text:: airborne lidar data Brian M. Wing a,⁎, Martin W. Ritchie a, Kevin Boston b, Warren B. Cohen c, Michael J

Comparing statistical techniques to classify the structure of mountain forest stands using CHM-derived metrics in Trento province (Italy)

Creator:: Torresan, Chiara L., Strunk, Jacob, Zald, Harold S. J., Zhiqiang, Yang, and Cohen, Warren B.
Abstract:: In some cases a canopy height model (CHM) is the only available source of forest height information. For these cases it is important to understand the predictive power of CHM data for forest attributes. In this study we examined the use of lidar-derived CHM metrics to predict forest structure classes...
Resource Type:: Article
Full Text:: Trento province (Italy) Torresan, C. L., Strunk, J., Zald, H. S. J., Zhiqiang, Y., & Cohen, W. B. (2014

ScholarsArchive@OSU

Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012

Mapping post-fire habitat characteristics through the fusion of remote sensing tools

A forest vulnerability index based on drought and high temperatures

Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems

Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics

Using Landsat-derived disturbance history (1972–2010) to predict current forest structure

A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests

Detecting landscape changes in the interior of British Columbia from 1975 to 1992 using satellite imagery

Individual snag detection using neighborhood attribute filtered airborne lidar data

Comparing statistical techniques to classify the structure of mountain forest stands using CHM-derived metrics in Trento province (Italy)

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