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Detecting trends in forest disturbance and recovery using yearly Landsat time series

1. LandTrendr — Temporal segmentation algorithms

Bibliographic Data

ID23360396
AuthorsRobert E Kennedy (0000-0002-5507-474X, Oregon State University, corresponding author), Zhiqiang Yang (0009-0003-3885-4976, Oregon State University), WARREN B COHEN (0000-0003-3144-9532, Pacific Northwest Research Station)
Year2010
Volume114
Issue12
Pages2897-2910
Publication date2010-12-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRemote Sensing of Environment (JOURNAL)
Journal identifiersISSN: 0034-4257 • E-ISSN: 1879-0704
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.rse.2010.07.008
OpenAlexW2140908571
LanguageEN
Citations received68
References cited3

Algorithm · Change detection · Computer vision · Geography · Machine learning · Normalization (sociology) · Pixel · Remote sensing · Segmentation · Smoothing · Time series · Artificial Intelligence · Computer Science · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Species Distribution and Climate Change

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Unique citing works68
Citations per year3,58
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 64

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