Zhiqiang Yang

Ecology · with Cohen · 2006–2022

A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 46 citations into it; #1,769 of 10,717 by trust here, #3,002 by citations
• Global and Planetary Change — 32 citations into it; #1,793 of 10,225 by trust here, #2,550 by citations
• Ecological Modeling — 29 citations into it; #632 of 2,530 by trust here, #1,041 by citations
• Artificial Intelligence — 16 citations into it
• Media Technology — 15 citations into it
• Statistics and Probability — 9 citations into it
• Atmospheric Science — 8 citations into it

Whom Zhiqiang Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert E. Kennedy
2. Jerome H. Friedman
3. Warren B. Cohen
4. Zhe Zhu
5. Morton John Canty
6. Todd A. Schroeder
7. David Ruppert
8. Niko Speybroeck
9. Allan Aasbjerg Nielsen
10. Curtis E. Woodcock

Who trusts Zhiqiang Yang overall

1. Zhe Zhu
2. Warren B. Cohen
3. Robert E. Kennedy
4. M. Wulder
5. Matthew C. Hansen
6. Pontus Olofsson
7. Thomas R. Loveland
8. R. Hall

Papers from Zhiqiang Yang's perspective

Ordered by how strongly the researchers Zhiqiang Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?
2. Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon
3. Opening the archive: How free data has enabled the science and monitoring promise of Landsat
4. Landsat continuity: Issues and opportunities for land cover monitoring
5. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
6. Disturbance and landscape dynamics in a changing world. (Ecology)
7. Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
8. Global land cover mapping from MODIS: algorithms and early results
9. Automatic radiometric normalization of multitemporal satellite imagery
10. Object-based cloud and cloud shadow detection in Landsat imagery

Their papers

• GEDI launches a new era of biomass inference from space (2022) — 206 citations
• Old‐growth forests buffer climate‐sensitive bird populations from warming (2018) — 101 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
• Species distribution modelling for the people: unclassified landsat TM imagery predicts bird occurrence at fine resolutions (2013) — 87 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
• Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon (2006) — 409 citations