Index Catalog // ScholarsArchive@OSU

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:: in Landsat MSS imagery for temperate ecosystems Braaten, J. D., Cohen, W. B., & Yang, Z. (2015

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:: history and lidar to map forest biomass dynamics Pflugmacher, D., Cohen, W. B., Kennedy, R. E., & Yang

Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan

Creator:: Kennedy, Robert E., Yang, Zhiqiang, Cohen, Warren B., Pfaff, Eric, Braaten, Justin, and Nelson, Peder
Abstract:: Understanding fine-grain patterns of forest disturbance and regrowth at the landscape scale is critical for effective management, particularly in forests in western Washington, Oregon, and California, U.S., where the policy known as the Northwest Forest Plan (NWFP) was imposed in 1994 over > 8 million ha of forest in an...
Resource Type:: Article
Full Text:: area of the Northwest Forest Plan Robert E. Kennedy a,⁎, Zhiqiang Yang a, Warren B. Cohen b, Eric

Attribution of disturbance change agent from Landsat time-series in support of habitat monitoring in the Puget Sound region, USA

Creator:: Kennedy, Robert E., Yang, Zhiqiang, Braaten, Justin, Copass, Catharine, Antonova, Natalya, Jordan, Chris, and Nelson, Peder
Abstract:: To understand causes and consequences of landscape change, it is often not enough to simply detect change. Rather, the agent causing the change must also be determined. Here, we describe and test a method of change agent attribution built on four tenets: agents operate on patches rather than pixels; temporal...
Resource Type:: Article
Full Text:: Sound region, USA Kennedy, R. E., Yang, Z., Braaten, J., Copass, C., Antonova, N., Jordan, C

Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network

Creator:: Cescatti, Alessandro, Marcolla, Barbara, Vannan, Suresh K. Santhana, Pan, Jerry Yun, Roman, Miguel O., Yang, Xiaoyuan, Ciais, Philippe, Cook, Robert B., Law, Beverly E., Matteucci, Giorgio, Migliavacca, Mirco, Moors, Eddy, Richardson, Andrew D., Seufert, Guenther, and Schaaf, Crystal B.
Abstract:: Surface albedo is a key parameter in the Earth's energy balance since it affects the amount of solar radiation directly absorbed at the planet surface. Its variability in time and space can be globally retrieved through the use of remote sensing products. To evaluate and improve the quality of satellite...
Resource Type:: Article
Full Text:: ,⁎, Barbara Marcolla b, Suresh K. Santhana Vannan c, Jerry Yun Pan c, Miguel O. Román d, Xiaoyuan Yang e

Automated reconstruction of tree and canopy structure for modeling the internal canopy radiation regime

Creator:: van Leeuwen, Martin, Coops, Nicholas C., Hilker, Thomas, Wulder, Michael A., Newnham, Glenn J., and Culvenor, Darius S.
Abstract:: Understanding canopy radiation regimes is critical to successfully modeling vegetation growth and function. For instance, the vertical distribution of photosynthetically active radiation (PAR) affects vegetation growth, informative upon carbon and energy cycling. Availing upon advances in information capture and computing power, geometrically explicit modeling of forest structure becomes increasingly possible....
Resource Type:: Article
Full Text:: radiation trans- mission (Jupp et al., 2009; Yang et al., 2010) and do not require any geometric explicit

On the measurability of change in Amazon vegetation from MODIS

Creator:: Hilker, Thomas, Lyapustin, Alexei I., Hall, Forrest G., Myneni, Ranga, Knyazikhin, Yuri, Wang, Yujie, Tucker, Compton J., and Sellers, Piers J.
Abstract:: The Amazon rainforest is a critical hotspot for bio-diversity, and plays an essential role in global carbon, water and energy fluxes and the earth's climate. Our ability to project the role of vegetation carbon feedbacks on future climate critically depends upon our understanding of this tropical ecosystem, its tolerance to...
Resource Type:: Article
Full Text:: tropical vegetation are an artifact of the sun-sensor geometry, concluding that tropical forests maintain

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:: even for relatively ho- mogeneous coniferous forests within similar site conditions (Yang et al., 2005

Seasonality and drought effects of Amazonian forests observed from multi-angle satellite data

Creator:: de Moura, Yhasmin Mendes, Hilker, Thomas, Lyapustin, Alexei I., Galvão, Lênio Soares, dos Santos, João Roberto, Anderson, Liana O., Resende de Sousa, Célio Helder, and Arai, Egidio
Abstract:: Seasonality and drought in Amazon rainforests have been controversially discussed in the literature, partially due to a limited ability of current remote sensing techniques to detect its impacts on tropical vegetation. We use a multi-angle remote sensing approach to determine changes in vegetation structure from differences in directional scattering (anisotropy)...
Resource Type:: Article
Full Text:: are driven by artifacts of the sun-sensor geometry. A growing body of literature suggests

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:: influenced by many factors, including sun angle, phenological variation, observer- to-observer variation

ScholarsArchive@OSU

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

Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan

Attribution of disturbance change agent from Landsat time-series in support of habitat monitoring in the Puget Sound region, USA

Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network

Automated reconstruction of tree and canopy structure for modeling the internal canopy radiation regime

On the measurability of change in Amazon vegetation from MODIS

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

Seasonality and drought effects of Amazonian forests observed from multi-angle satellite data

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

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