Robert E. Kennedy
Ecology · 2007–2019
A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 47 citations into it; #1,336 of 10,717 by trust here, #2,841 by citations
- Global and Planetary Change — 44 citations into it; #1,420 of 10,225 by trust here, #2,428 by citations
- Atmospheric Science — 20 citations into it
- Media Technology — 20 citations into it; #1,419 of 3,621 by trust here, #1,423 by citations
- Artificial Intelligence — 16 citations into it
- Environmental Engineering — 16 citations into it
- Ecological Modeling — 7 citations into it; #585 of 2,530 by trust here, #1,008 by citations
Whom Robert E. Kennedy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Morton John Canty
- Warren B. Cohen
- Todd A. Schroeder
- Zhe Zhu
- Dengsheng Lu
- Allan Aasbjerg Nielsen
- Zhiqiang Yang
- M. Wulder
- P. Mausel
- J. Masek
Who trusts Robert E. Kennedy overall
- Zhe Zhu
- Warren B. Cohen
- Clement Atzberger
- Zhiqiang Yang
- M. Wulder
- Matthew C. Hansen
- Curtis E. Woodcock
- Thomas R. Loveland
- R. Hall
- J. Masek
Papers from Robert E. Kennedy's perspective
Ordered by how strongly the researchers Robert E. Kennedy 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?
- Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat
- Review ArticleDigital change detection methods in ecosystem monitoring: a review
- Automatic radiometric normalization of multitemporal satellite imagery
- Disturbance and landscape dynamics in a changing world. (Ecology)
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
- Landsat continuity: Issues and opportunities for land cover monitoring
- Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
- Change detection techniques
Their papers
- 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
- 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
- Trajectory-based change detection for automated characterization of forest disturbance dynamics (2007) — 467 citations