Publications

Export 194 results:
Author Title Type [ Year(Asc)]
2014
Kennedy RE, Andréfouët S, Cohen WB, Gómez C, Griffiths P, Hais M, Healey SP, Helmer E, Hostert P, Lyons MB et al..  2014.  Bringing an ecological view of change to Landsat-based remote sensing. Frontiers in Ecology and the Environment. 12(6):339-346.
CEOS.  2014.  CEOS Strategy for Carbon Observations from Space, The Committee on Earth Observation Satellites (CEOS) Response to the Group on Earth Observations (GEO) Carbon Strategy.
Torresan C, Strunk J, Zald HS, Yang Z, Cohen WB.  2014.  Comparing statistical techniques to classify the structure of mountain forest stands using CHM-derived metrics in Trento province (Italy). European Journal of Remote Sensing. 47:75-94.
Sulla-Menashe D, Kennedy RE, Yang Z, Braaten J, Krankina ON, Friedl MA.  2014.  Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal segmentation. Remote Sensing of Environment. 151:114-123.
Vierling KT, Swift CE, Hudak AT, Vogeler JC, Vierling LA.  2014.  How much does the time lag between wildlife field-data collection and LiDAR-data acquisition matter for studies of animal distributions? A case study using bird communities Remote Sensing Letters. 5(2):185-193.
Schroeder TA, Healey SP, Moisen GG, Frescino TS, Cohen WB, Huang C, Kennedy RE, Yang Z.  2014.  Improving estimates of forest disturbance by combining observations from Landsat time series with US Forest Service Forest Inventory and Analysis data. Remote Sensing of Environment. 154:61-73.
Zald HS, Ohmann JL, Roberts HM, Gregory MJ, Henderson EB, McGaughey RJ, Braaten J.  2014.  Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure. Remote Sensing of Environment. 143:26–38.
Roy DP, Wulder MA, Loveland TR, Woodcock CE, Allen RG, Anderson MC, Helder D, Irons JR, Johnson DM, Kennedy RE et al..  2014.  Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment. 145:154-172.
Goward SN, Huang C, Masek JG, Cohen WB, Moisen GG, Schleeweis K.  2014.  NACP North American Forest Dynamics Project: Forest Disturbance and Regrowth Data.
Powell SL, Cohen WB, Kennedy RE, Healey SP, Huang C.  2014.  Observation of trends in biomass loss as a result of disturbance in the conterminous U.S.: 1986-2004. Ecosystems. 17(1):142-157.
McRoberts RE, Cohen WB, Pflugmacher D.  2014.  Preface, 2012 ForestSAT Special Issue. Remote Sensing of Environment . 151:1-2.
Vogeler JC, Hudak AT, Vierling LA, Evans J, Green P, Vierling KT.  2014.  Terrain and vegetation structural influences on local avian species richness in two mixed-conifer forests. Remote Sensing of Environment. 147:13-22.
Pflugmacher D, Cohen WB, Kennedy RE, Yang Z.  2014.  Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics. Remote Sensing of Environment. 151:124-137.
2012
O’Neil TA, Bettinger P, Marcot B, Cohen WB, Taft O, Ash R, Bruner H, Langhoff C, Carlino J, Hutchison V et al..  2012.  Application of Spatial Technologies in Wildlife Biology. Wildlife Techniques Manual.
Campbell JL, Kennedy RE, Cohen WB, Miller R.  2012.  Assessing the carbon consequences of western juniper encroachment across Oregon, USA. Range Ecology & Management. 65:223-231.
Viana H, Aranha J, Lopes D, Cohen WB.  2012.  Estimation of crown biomass of Pinus pinaster stands and shrubland above-ground biomass using forest inventory data, remotely sensed imagery and spatial prediction models. Ecological Modelling. 226:22-35.
Coulston JW, Moisen GG, Wilson BT, Finco MV, Cohen WB, Brewer CK.  2012.  Modeling percent tree canopy cover across the United States: A pilot study. Photogrammetric Engineering & Remote Sensing. 78:715-727.
Kennedy RE.  2012.  New views on changing Arctic vegetation. Environmental Research Letters. 7(1):1-3.
Wulder MA, Masek JG, Cohen WB, Loveland TR, Woodcock CE.  2012.  Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment. 122:2-10.
Wing BM, Ritchie M, Boston K, Cohen WB, Gitelman A, Olsen M.  2012.  Prediction of understory vegetation cover with airborne lidar in an interior ponderosa pine forest. Remote Sensing of Environment. 124:730-741.
Kennedy RE, Yang Z, Cohen WB, Pfaff E, Braaten J, Nelson P.  2012.  Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan. Remote Sensing of Environment. 122:117-133.

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