North Carolina’s forest disturbance and timber production assessed using time series Landsat observations
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
North Carolina’s forest disturbance and timber production assessed using time series Landsat observations
Authors
Keywords
-
Journal
International Journal of Digital Earth
Volume 8, Issue 12, Pages 947-969
Publisher
Informa UK Limited
Online
2015-04-03
DOI
10.1080/17538947.2015.1034200
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat Time Series
- (2015) Feng Zhao et al. IEEE Geoscience and Remote Sensing Letters
- United States Forest Disturbance Trends Observed Using Landsat Time Series
- (2013) Jeffrey G. Masek et al. ECOSYSTEMS
- Global surface reflectance products from Landsat: Assessment using coincident MODIS observations
- (2013) Min Feng et al. REMOTE SENSING OF ENVIRONMENT
- Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data
- (2013) Qinchuan Xin et al. REMOTE SENSING OF ENVIRONMENT
- Integrating a process-based ecosystem model with Landsat imagery to assess impacts of forest disturbance on terrestrial carbon dynamics: Case studies in Alabama and Mississippi
- (2013) Guangsheng Chen et al. Journal of Geophysical Research-Biogeosciences
- Continuous monitoring of forest disturbance using all available Landsat imagery
- (2012) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat
- (2012) Michael A. Wulder et al. REMOTE SENSING OF ENVIRONMENT
- Quality assessment of Landsat surface reflectance products using MODIS data
- (2011) Min Feng et al. COMPUTERS & GEOSCIENCES
- Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data
- (2011) Todd A. Schroeder et al. REMOTE SENSING OF ENVIRONMENT
- Automated masking of cloud and cloud shadow for forest change analysis using Landsat images
- (2010) Chengquan Huang et al. INTERNATIONAL JOURNAL OF 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
- Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks
- (2010) Nancy E. Thomas et al. REMOTE SENSING OF ENVIRONMENT
- Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model
- (2009) Mingshi Li et al. FOREST ECOLOGY AND MANAGEMENT
- Development of time series stacks of Landsat images for reconstructing forest disturbance history
- (2009) Chengquan Huang et al. International Journal of Digital Earth
- Use of remote sensing coupled with a vegetation change tracker model to assess rates of forest change and fragmentation in Mississippi, USA
- (2009) Mingshi Li et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States
- (2009) Chengquan Huang et al. REMOTE SENSING OF ENVIRONMENT
- A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
- (2009) Thomas Hilker 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
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started