Warren B. Cohen
United States Forest Service
203 Papers
1.3K Citations
Warren B. Cohen is an academic researcher from United States Forest Service. The author has contributed to research in topics: Land cover & Forest inventory. The author has an hindex of 84, co-authored 201 publications. Previous affiliations of Warren B. Cohen include United States Department of Agriculture & Oregon State University.
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Papers
Empirical methods to compensate for a view-angle-dependent brightness gradient in AVIRIS imagery☆
TL;DR: In this paper, a view-angle-dependent brightness gradient was observed in an AVIRIS image of a forested region in Oregon's Cascade Mountains, and a method of removing the viewangle effect was sought that would not alter the radiometric integrity of the image and which would require minimal ancillary information.
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Comparison and assessment of coarse resolution land cover maps for Northern Eurasia
Dirk Pflugmacher,Olga N. Krankina,Warren B. Cohen,Mark A. Friedl,Damien Sulla-Menashe,Robert E. Kennedy,Peder Nelson,Tatiana V. Loboda,Tobias Kuemmerle,Egor Dyukarev,Vladimir Elsakov,Viacheslav I. Kharuk +11 more
TL;DR: In this article, a generalized map legend based on dominant life form types (LFT) (tree, shrub, and herbaceous vegetation, barren land and water) was devised to minimize classification ambiguities.
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Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program
Bruce W. Pengra,Stephen V. Stehman,Josephine A. Horton,Daryn J. Dockter,Todd A. Schroeder,Zhiqiang Yang,Warren B. Cohen,Warren B. Cohen,Sean P. Healey,Thomas R. Loveland +9 more
TL;DR: The U.S. Geological Survey Land Change Monitoring, Assessment and Projection (USGS LCMAP) initiative is working toward a comprehensive capability to characterize land cover and land cover change using dense Landsat time series data as discussed by the authors.
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Detecting landscape changes in the interior of British Columbia from 1975 to 1992 using satellite imagery
TL;DR: In this article, the authors 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 42 x 106 ha area of interior British Columbia.
Predicting temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery
TL;DR: In this article, the authors used a forest succession model (ZELIG) and a canopy reflectance model (GORT) to produce spectral trajectories of forest succession from young to old-growth stages, and compared the simulated trajectories with those constructed from Landsat Thematic Mapper imagery to understand the potential of mapping forest successional stages with remote sensing.
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