Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation

By Warren B. Cohen, Zhiqiang Yang, Robert E. Kennedy. 2010

562 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f24047949a48b48ceaa67267670d2fceec80b3fb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Zhe Zhu
2. Thomas R. Loveland
3. Curtis E. Woodcock
4. Stephen V. Stehman
5. Warren B. Cohen
6. M. Wulder
7. Giles M. Foody
8. Zhiqiang Yang

In Ecology

1. Zhe Zhu
2. Curtis E. Woodcock
3. M. Wulder
4. Giles M. Foody
5. Warren B. Cohen
6. Robert E. Kennedy
7. Stephen V. Stehman
8. Zhiqiang Yang

In Global and Planetary Change

1. Zhe Zhu
2. Curtis E. Woodcock
3. M. Wulder
4. Warren B. Cohen
5. Thomas R. Loveland
6. Stephen V. Stehman
7. Robert E. Kennedy
8. Giles M. Foody

Citations in the corpus

• Good practices for estimating area and assessing accuracy of land change (2014, methodology): “To ensure the quality of time series transitions developed, Cohen, Yang, and Kennedy (2010) created a logic and tool for determining the timing and nature of changes captured (TimeSync, http://timesync.forestry.oregonstate.edu/).”
• How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms (2017, methodology): “The TimeSync Landsat time series visualization and change data collection tool [22] was used to collect change reference data for this study.”
• Continuous change detection and classification of land cover using all available Landsat data (2014, background): “To know where and when land cover change occurs, the primary source for reference data is the Landsat images themselves (Cohen, Yang, & Kennedy, 2010).”