Warren B. Cohen
Ecology · 2001–2019
A researcher in the Science corpus: 19 papers; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 63 citations into it; #604 of 10,717 by trust here, #681 by citations
- Global and Planetary Change — 47 citations into it; #676 of 10,225 by trust here, #915 by citations
- Media Technology — 29 citations into it; #1,331 of 3,621 by trust here, #941 by citations
- Atmospheric Science — 25 citations into it
- Environmental Engineering — 25 citations into it; #2,905 of 5,479 by trust here, #747 by citations
- Artificial Intelligence — 16 citations into it; #23,887 of 35,345 by trust here, #7,346 by citations
- Ocean Engineering — 6 citations into it
- Ecological Modeling — 5 citations into it; #451 of 2,530 by trust here, #707 by citations
Whom Warren B. Cohen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Kennedy
- Zhe Zhu
- Morton John Canty
- Todd A. Schroeder
- Zhiqiang Yang
- Curtis E. Woodcock
- J. Masek
- Allan Aasbjerg Nielsen
- M. Wulder
- Dengsheng Lu
Who trusts Warren B. Cohen overall
- Zhe Zhu
- Giles M. Foody
- Robert E. Kennedy
- Clement Atzberger
- M. Wulder
- Zhiqiang Yang
- Richard A. Fernandes
- Curtis E. Woodcock
- Martin Schlerf
- Todd A. Schroeder
Papers from Warren B. Cohen's perspective
Ordered by how strongly the researchers Warren B. Cohen trusts endorse each paper. Same corpus, a different order for every researcher.
- Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat
- Landsat continuity: Issues and opportunities for land cover monitoring
- Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
- Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
- An algorithm for the retrieval of albedo from space using semiempirical BRDF models (IEEE Transactions on Geoscience and Remote Sensing)
- Disturbance and landscape dynamics in a changing world. (Ecology)
- Global land cover mapping from MODIS: algorithms and early results
- Offset of the potential carbon sink from boreal forestation by decreases in surface albedo (Nature)
Their papers
- Ecological Causes and Consequences of Demographic Change in the New West (2002) — 315 citations
- Current status of Landsat program, science, and applications (2019) — 982 citations
- Implementation of the LandTrendr Algorithm on Google Earth Engine (2018) — 474 citations
- How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms (2017) — 193 citations
- The global Landsat archive: Status, consolidation, and direction (2016) — 742 citations
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat (2012) — 1,180 citations
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms (2010) — 1,747 citations
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation (2010) — 562 citations
- Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects (2009) — 435 citations
- Free Access to Landsat Imagery (2008) — 927 citations
- Landsat continuity: Issues and opportunities for land cover monitoring (2008) — 607 citations
- Trajectory-based change detection for automated characterization of forest disturbance dynamics (2007) — 467 citations
- Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup (2006) — 420 citations
- Map Misclassification Can Cause Large Errors in Landscape Pattern Indices: Examples from Habitat Fragmentation (2006) — 121 citations
- Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon (2006) — 409 citations
- Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest. (2005) — 124 citations
- An improved strategy for regression of biophysical variables and Landsat ETM+ data. (2003) — 484 citations
- An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western Oregon (2001) — 250 citations
- Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors (2001) — 306 citations