United States Forest Disturbance Trends Observed Using Landsat Time Series

Aerial detection surveys in the United States

(2013) E. W. Johnson et al.   AUSTRALIAN FORESTRY

Conterminous U.S. and Alaska Forest Type Mapping Using Forest Inventory and Analysis Data

(2013) B. Ruefenacht et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Spatiotemporal patterns of observed bark beetle-caused tree mortality in British Columbia and the western United States

(2012) Arjan J. H. Meddens et al.   ECOLOGICAL APPLICATIONS

Continuous monitoring of forest disturbance using all available Landsat imagery

(2012) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan

(2012) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring Canada’s forests. Part 1: Completion of the EOSD land cover project

(2011) Michael A Wulder et al.   CANADIAN JOURNAL OF REMOTE SENSING

Land-use Pressure and a Transition to Forest-cover Loss in the Eastern United States

(2010) Mark A. Drummond et al.   BIOSCIENCE

Automated masking of cloud and cloud shadow for forest change analysis using Landsat images

(2010) Chengquan Huang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Ecosystem carbon dioxide fluxes after disturbance in forests of North America

(2010) B. D. Amiro et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Quantification of global gross forest cover loss

(2010) M. C. Hansen et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Forest responses to increasing aridity and warmth in the southwestern United States

(2010) A. P. Williams et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

(2010) Warren B. Cohen et al.   REMOTE SENSING OF ENVIRONMENT

Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks

(2010) Nancy E. Thomas et al.   REMOTE SENSING OF ENVIRONMENT

Prospects for tropical forest biodiversity in a human-modified world

(2009) Toby A. Gardner et al.   ECOLOGY LETTERS

Development of time series stacks of Landsat images for reconstructing forest disturbance history

(2009) Chengquan Huang et al.   International Journal of Digital Earth

Gross forest cover loss in temperate forests: biome-wide monitoring results using MODIS and Landsat data

(2009) Peter Potapov   Journal of Applied Remote Sensing

Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure

(2009) S. Frolking et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Land changes and their driving forces in the Southeastern United States

(2009) Darrell E. Napton et al.   Regional Environmental Change

Testing a MODIS Global Disturbance Index across North America

(2009) David J. Mildrexler et al.   REMOTE SENSING OF ENVIRONMENT

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

(2009) Chengquan Huang et al.   REMOTE SENSING OF ENVIRONMENT

Accounting of forest carbon sinks and sources under a future climate protocol—factoring out past disturbance and management effects on age–class structure

(2008) Hannes Böttcher et al.   ENVIRONMENTAL SCIENCE & POLICY

Mountain pine beetle and forest carbon feedback to climate change

(2008) W. A. Kurz et al.   NATURE

Interactions among Amazon land use, forests and climate: prospects for a near-term forest tipping point

(2008) D. C Nepstad et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Analysis of MODIS imagery for detection of clear cuts in the boreal forest in north-west Russia

(2008) Tomáš Bucha et al.   REMOTE SENSING OF ENVIRONMENT

North American forest disturbance mapped from a decadal Landsat record

(2008) Jeffrey G. Masek et al.   REMOTE SENSING OF ENVIRONMENT

CLIMATE CHANGE: Ecosystem Disturbance, Carbon, and Climate

(2008) S. W. Running   SCIENCE