Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers
Authors
Keywords
-
Journal
Remote Sensing
Volume 8, Issue 11, Pages 888
Publisher
MDPI AG
Online
2016-10-28
DOI
10.3390/rs8110888
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Humid tropical forest disturbance alerts using Landsat data
- (2016) Matthew C Hansen et al. Environmental Research Letters
- L-band Synthetic Aperture Radar imagery performs better than optical datasets at retrieving woody fractional cover in deciduous, dry savannahs
- (2016) Laven Naidoo et al. International Journal of Applied Earth Observation and Geoinformation
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- The global Landsat archive: Status, consolidation, and direction
- (2016) Michael A. Wulder et al. REMOTE SENSING OF ENVIRONMENT
- Conterminous United States crop field size quantification from multi-temporal Landsat data
- (2016) L. Yan et al. REMOTE SENSING OF ENVIRONMENT
- Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series
- (2015) Ben DeVries et al. REMOTE SENSING OF ENVIRONMENT
- Fusing Landsat and SAR time series to detect deforestation in the tropics
- (2015) Johannes Reiche et al. REMOTE SENSING OF ENVIRONMENT
- MODIS–Landsat fusion for large area 30m burned area mapping
- (2015) Luigi Boschetti et al. REMOTE SENSING OF ENVIRONMENT
- Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series
- (2015) Ben DeVries et al. REMOTE SENSING OF ENVIRONMENT
- Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction
- (2015) L. Yan et al. REMOTE SENSING OF ENVIRONMENT
- A model for the propagation of uncertainty from continuous estimates of tree cover to categorical forest cover and change
- (2015) Joseph O. Sexton et al. REMOTE SENSING OF ENVIRONMENT
- A critical synthesis of remotely sensed optical image change detection techniques
- (2015) Andrew P. Tewkesbury et al. REMOTE SENSING OF ENVIRONMENT
- An Evaluation of Different Training Sample Allocation Schemes for Discrete and Continuous Land Cover Classification Using Decision Tree-Based Algorithms
- (2015) René Colditz Remote Sensing
- Landsat-8: Science and product vision for terrestrial global change research
- (2014) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Global, Landsat-based forest-cover change from 1990 to 2000
- (2014) Do-Hyung Kim et al. REMOTE SENSING OF ENVIRONMENT
- Land Cover Characterization and Mapping of South America for the Year 2010 Using Landsat 30 m Satellite Data
- (2014) Chandra Giri et al. Remote Sensing
- MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data
- (2014) Steffen Gebhardt et al. Remote Sensing
- Next generation of global land cover characterization, mapping, and monitoring
- (2013) C. Giri et al. International Journal of Applied Earth Observation and Geoinformation
- Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error
- (2013) Joseph O. Sexton et al. International Journal of Digital Earth
- Toward structural assessment of semi-arid African savannahs and woodlands: The potential of multitemporal polarimetric RADARSAT-2 fine beam images
- (2013) Renaud Mathieu et al. REMOTE SENSING OF ENVIRONMENT
- A comprehensive change detection method for updating the National Land Cover Database to circa 2011
- (2013) Suming Jin et al. REMOTE SENSING OF ENVIRONMENT
- Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
- (2013) Eli K. Melaas et al. REMOTE SENSING OF ENVIRONMENT
- Accuracy assessment of NLCD 2006 land cover and impervious surface
- (2013) James D. Wickham et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring conterminous United States (CONUS) land cover change with Web-Enabled Landsat Data (WELD)
- (2013) M.C. Hansen et al. REMOTE SENSING OF ENVIRONMENT
- High-Resolution Global Maps of 21st-Century Forest Cover Change
- (2013) M. C. Hansen et al. SCIENCE
- Land Cover Change Detection Using Autocorrelation Analysis on MODIS Time-Series Data: Detection of New Human Settlements in the Gauteng Province of South Africa
- (2012) Waldo Kleynhans et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Forest cover trends from time series Landsat data for the Australian continent
- (2012) Eric A. Lehmann et al. International Journal of Applied Earth Observation and Geoinformation
- Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
- (2012) Peng Gong et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- An automated approach for updating land cover maps based on integrated change detection and classification methods
- (2012) Xuehong Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Continuous monitoring of forest disturbance using all available Landsat imagery
- (2012) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- A review of large area monitoring of land cover change using Landsat data
- (2012) Matthew C. Hansen et al. REMOTE SENSING OF ENVIRONMENT
- Near real-time disturbance detection using satellite image time series
- (2012) Jan Verbesselt et al. REMOTE SENSING OF ENVIRONMENT
- Preparing Landsat Image Time Series (LITS) for Monitoring Changes in Vegetation Phenology in Queensland, Australia
- (2012) Santosh Bhandari et al. Remote Sensing
- Mapping ecosystem service supply, demand and budgets
- (2011) Benjamin Burkhard et al. ECOLOGICAL INDICATORS
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- (2011) V.F. Rodriguez-Galiano et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Object-based cloud and cloud shadow detection in Landsat imagery
- (2011) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Continuous fields of land cover for the conterminous United States using Landsat data: first results from the Web-Enabled Landsat Data (WELD) project
- (2011) Matthew C. Hansen et al. Remote Sensing Letters
- The suitability of multi-temporal web-enabled Landsat data NDVI for phenological monitoring – a comparison with flux tower and MODIS NDVI
- (2011) Valeriy Kovalskyy et al. Remote Sensing Letters
- Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
- (2011) Claire Boryan et al. Geocarto International
- Challenges in using land use and land cover data for global change studies
- (2010) PETER H. VERBURG et al. GLOBAL CHANGE BIOLOGY
- 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
- 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
- Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods
- (2009) George Xian 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
- Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States
- (2009) David P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation
- (2007) Morton J. Canty et al. REMOTE SENSING OF ENVIRONMENT
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk 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