Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types

Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques

(2018) Ran Meng et al.   REMOTE SENSING OF ENVIRONMENT

Analyzing spatial and temporal variability in short-term rates of post-fire vegetation return from Landsat time series

(2018) Ryan J. Frazier et al.   REMOTE SENSING OF ENVIRONMENT

Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery

(2018) Samuel Hislop et al.   Remote Sensing

Implementation of the LandTrendr Algorithm on Google Earth Engine

(2018) Robert Kennedy et al.   Remote Sensing

A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series

(2017) Joanne C. White et al.   REMOTE SENSING OF ENVIRONMENT

Continental-scale quantification of post-fire vegetation greenness recovery in temperate and boreal North America

(2017) Jia Yang et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Trends in post-disturbance recovery rates of Canada’s forests following wildfire and harvest

(2016) Samuel F. Bartels et al.   FOREST ECOLOGY AND MANAGEMENT

High and dry: post-fire tree seedling establishment in subalpine forests decreases with post-fire drought and large stand-replacing burn patches

(2016) Brian J. Harvey et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Impact of anthropogenic climate change on wildfire across western US forests

(2016) John T. Abatzoglou et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems

(2016) Alfonso Fernandez-Manso et al.   REMOTE SENSING OF ENVIRONMENT

Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity

(2016) D.P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

(2016) Eric Vermote et al.   REMOTE SENSING OF ENVIRONMENT

Effects of climate and fire on short-term vegetation recovery in the boreal larch forests of Northeastern China

(2016) Zhihua Liu   Scientific Reports

Adapting forest management to climate change using bioclimate models with topographic drivers

(2015) Gerald E. Rehfeldt et al.   FORESTRY

Forest recovery trends derived from Landsat time series for North American boreal forests

(2015) Paul D. Pickell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Fire legacies impact conifer regeneration across environmental gradients in the U.S. northern Rockies

(2015) Kerry B. Kemp et al.   LANDSCAPE ECOLOGY

Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California

(2015) Ran Meng et al.   REMOTE SENSING OF ENVIRONMENT

Boreal Shield forest disturbance and recovery trends using Landsat time series

(2015) Ryan J. Frazier et al.   REMOTE SENSING OF ENVIRONMENT

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

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene

(2015) Craig D. Allen et al.   Ecosphere

A growing importance of large fires in conterminous United States during 1984-2012

(2015) Jia Yang et al.   Journal of Geophysical Research-Biogeosciences

Remote Sensing Analysis of Vegetation Recovery following Short-Interval Fires in Southern California Shrublands

(2014) Ran Meng et al.   PLoS One

Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data

(2014) Wei Chen et al.   European Journal of Remote Sensing

Modeling Climate-Fire Connections within the Great Basin and Upper Colorado River Basin, Western United States

(2014) James D. Arnold et al.   Fire Ecology

Fisher–Shannon information plane analysis of SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) time series to characterize vegetation recovery after fire disturbance

(2013) Antonio Lanorte et al.   International Journal of Applied Earth Observation and Geoinformation

Post-fire regeneration across a fire severity gradient in the southern Cascades

(2012) Justin S. Crotteau et al.   FOREST ECOLOGY AND MANAGEMENT

Assessing post-fire vegetation recovery using red–near infrared vegetation indices: Accounting for background and vegetation variability

(2012) S. Veraverbeke et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The influence of burn severity on postfire vegetation recovery and albedo change during early succession in North American boreal forests

(2012) Yufang Jin et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Remote sensing of post-fire vegetation recovery; a study using Landsat 5 TM imagery and NDVI in North-East Victoria

(2012) L. Sever et al.   Journal of Spatial Science

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

Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest

(2011) Xuexia Chen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Pinus halepensis regeneration after a wildfire in a semiarid environment: assessment using multitemporal Landsat images

(2011) Sergio M. Vicente-Serrano et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Quantifying Bufo boreas connectivity in Yellowstone National Park with landscape genetics

(2010) Melanie A. Murphy et al.   ECOLOGY

Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel

(2010) Willem J. D. van Leeuwen et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Assessing intra-annual vegetation regrowth after fire using the pixel based regeneration index

(2010) S. Lhermitte et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

Conifer regeneration in stand-replacement portions of a large mixed-severity wildfire in the Klamath–Siskiyou Mountains

(2009) Daniel C. Donato et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Climate and wildfire area burned in western U.S. ecoprovinces, 1916–2003

(2009) Jeremy S. Littell et al.   ECOLOGICAL APPLICATIONS

Post-fire vegetation regrowth detection in the Deiva Marina region (Liguria-Italy) using Landsat TM and ETM+ data

(2009) José Pablo Solans Vila et al.   ECOLOGICAL MODELLING

Fire intensity, fire severity and burn severity: a brief review and suggested usage

(2009) Jon E. Keeley   INTERNATIONAL JOURNAL OF WILDLAND FIRE

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

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

Detecting trend and seasonal changes in satellite image time series

(2009) Jan Verbesselt et al.   REMOTE SENSING OF ENVIRONMENT

Analysing forest recovery after wildfire disturbance in boreal Siberia using remotely sensed vegetation indices

(2008) MARÍA CUEVAS-GONZÁLEZ et al.   GLOBAL CHANGE BIOLOGY

Use of multitemporal SAR data for monitoring vegetation recovery of Mediterranean burned areas

(2008) A. Minchella et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring the Effects of Forest Restoration Treatments on Post-Fire Vegetation Recovery with MODIS Multitemporal Data

(2008) Willem Van Leeuwen   SENSORS

Using long time series of Landsat data to monitor fire events and post-fire dynamics and identify driving factors. A case study in the Ayora region (eastern Spain)

(2007) A RODER et al.   REMOTE SENSING OF ENVIRONMENT