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Title: An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support

Journal Article · · ISPRS Journal of Photogrammetry and Remote Sensing

Sponsoring Organization:
USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research
Grant/Contract Number:
2016YFB0501502; 2016YFC0503701
OSTI ID:
1478686
Journal Information:
ISPRS Journal of Photogrammetry and Remote Sensing, Journal Name: ISPRS Journal of Photogrammetry and Remote Sensing Vol. 146 Journal Issue: C; ISSN 0924-2716
Publisher:
ElsevierCopyright Statement
Country of Publication:
Netherlands
Language:
English
Citation Metrics:
Cited by: 61 works
Citation information provided by
Web of Science

References (32)

Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model journal March 2009
Land Cover Change Mapping at the Subpixel Scale With Different Spatial-Resolution Remotely Sensed Imagery journal January 2011
Integrating TM and ancillary geographical data with classification trees for land cover classification of marsh area journal April 2009
A comprehensive change detection method for updating the National Land Cover Database to circa 2011 journal May 2013
Land-cover change detection using multi-temporal MODIS NDVI data journal November 2006
Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees journal August 2018
Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis journal April 2003
Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale
  • Kaptué Tchuenté, Armel Thibaut; Roujean, Jean-Louis; De Jong, Steven M.
  • International Journal of Applied Earth Observation and Geoinformation, Vol. 13, Issue 2 https://doi.org/10.1016/j.jag.2010.11.005
journal April 2011
Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product journal November 2016
Diagnosis of Ovarian Cancer Using Decision Tree Classification of Mass Spectral Data journal January 2003
Effects of land use/cover change on land surface energy partitioning and climate in Northeast China journal December 2014
Land use/land cover classification and its change detection using multi-temporal MODIS NDVI data journal November 2015
Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative journal December 2016
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets journal January 2010
An improved automated land cover updating approach by integrating with downscaled NDVI time series data journal January 2015
Detecting the Boundaries of Urban Areas in India: A Dataset for Pixel-Based Image Classification in Google Earth Engine journal August 2016
Change-vector analysis in multitemporal space: A tool to detect and categorize land-cover change processes using high temporal-resolution satellite data journal May 1994
A targeted change-detection procedure by combining change vector analysis and post-classification approach journal April 2016
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing journal April 2017
An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks journal January 2010
A fuzzy topology-based maximum likelihood classification journal January 2011
Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points journal June 2012
Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection journal March 2011
Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites journal May 2015
Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time journal June 2015
A web-based system for supporting global land cover data production journal May 2015
Interpreting the change detection error matrix journal May 2007
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform journal October 2018
Review ArticleDigital change detection methods in ecosystem monitoring: a review journal May 2004
Continuous change detection and classification of land cover using all available Landsat data journal March 2014
A new method for gray-level picture thresholding using the entropy of the histogram journal March 1985
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms journal December 2010

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