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Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

Remote sensing of environment, 2015-03, Vol.159, p.269-277

2015

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Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis

Remote sensing of environment, 2020-03, Vol.238, p.110968, Article 110968

2020

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Satellite‐based estimates reveal widespread forest degradation in the Amazon

Global change biology, 2020-05, Vol.26 (5), p.2956-2969

2020

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Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time

Remote sensing of environment, 2015-06, Vol.162, p.67-83

2015

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Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin

Remote sensing of environment, 2021-04, Vol.256, p.112336, Article 112336

2021

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An analysis of Landsat 7 and Landsat 8 underflight data and the implications for time series investigations

Remote sensing of environment, 2016-11, Vol.185, p.16-36

2016

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Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information

Urban studies (Edinburgh, Scotland), 2008-03, Vol.45 (3), p.659-692

2008

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Canadian boreal forest greening and browning trends: an analysis of biogeographic patterns and the relative roles of disturbance versus climate drivers

Environmental research letters, 2018-01, Vol.13 (1), p.14007

2018

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Extensive land cover change across Arctic–Boreal Northwestern North America from disturbance and climate forcing

Global change biology, 2020-02, Vol.26 (2), p.807-822

2020

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The global Landsat archive: Status, consolidation, and direction

Remote sensing of environment, 2016-11, Vol.185, p.271-283

2016

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Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014)

Remote sensing of environment, 2016-11, Vol.185, p.243-257

2016

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Near real-time monitoring of tropical forest disturbance: New algorithms and assessment framework

Remote sensing of environment, 2019-04, Vol.224, p.202-218

2019

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Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data

Remote sensing of environment, 2012-02, Vol.117, p.72-82

2012

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Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?

Remote sensing of environment, 2020-11, Vol.249, p.112024, Article 112024

2020

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Mapping causal agents of disturbance in boreal and arctic ecosystems of North America using time series of Landsat data

Remote sensing of environment, 2022-04, Vol.272, p.112935, Article 112935

2022

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Satellite data reveals a recent increase in shifting cultivation and associated carbon emissions in Laos

Environmental research letters, 2023-11, Vol.18 (11), p.114012

2023

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Spatiotemporal tracking of carbon emissions and uptake using time series analysis of Landsat data: A spatially explicit carbon bookkeeping model

The Science of the total environment, 2020-06, Vol.720, p.137409-137409, Article 137409

2020

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Combining satellite data for better tropical forest monitoring

Nature climate change, 2016-02, Vol.6 (2), p.120-122

2016

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How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

Forests, 2017-03, Vol.8 (4), p.98

2017

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Time series analysis of satellite data reveals continuous deforestation of New England since the 1980s

Environmental research letters, 2016-06, Vol.11 (6), p.64002

2016

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Post-Soviet farmland abandonment, forest recovery, and carbon sequestration in western Ukraine

Global change biology, 2011-03, Vol.17 (3), p.1335-1349

2011

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Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series

Forests, 2017-07, Vol.8 (8), p.275

2017

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Transitioning from change detection to monitoring with remote sensing: A paradigm shift

Remote sensing of environment, 2020-03, Vol.238, p.111558, Article 111558

2020

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Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?

Remote sensing of environment, 2020-09, Vol.246, p.111884, Article 111884

2020

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Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis

Satellite‐based estimates reveal widespread forest degradation in the Amazon

Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time

Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin

An analysis of Landsat 7 and Landsat 8 underflight data and the implications for time series investigations

Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information

Canadian boreal forest greening and browning trends: an analysis of biogeographic patterns and the relative roles of disturbance versus climate drivers

Extensive land cover change across Arctic–Boreal Northwestern North America from disturbance and climate forcing

The global Landsat archive: Status, consolidation, and direction

Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014)

Current status of Landsat program, science, and applications

Near real-time monitoring of tropical forest disturbance: New algorithms and assessment framework

Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data

Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?

Mapping causal agents of disturbance in boreal and arctic ecosystems of North America using time series of Landsat data

Satellite data reveals a recent increase in shifting cultivation and associated carbon emissions in Laos

Spatiotemporal tracking of carbon emissions and uptake using time series analysis of Landsat data: A spatially explicit carbon bookkeeping model

Combining satellite data for better tropical forest monitoring

How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

Time series analysis of satellite data reveals continuous deforestation of New England since the 1980s

Post-Soviet farmland abandonment, forest recovery, and carbon sequestration in western Ukraine

Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series

Transitioning from change detection to monitoring with remote sensing: A paradigm shift

Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?

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