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Impacts of Imagery Temporal Frequences on Land-Cover Change Detection Monitoring

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Abstract:An important consideration for monitoring land~cover (LC) change is the nominal temporal frequency of remote sensor data acquisitions required to adequately characterize change events, Ecosystem specific regeneration rates are an important consideration for determining the required frequency of data collections to minimize change omission errors. Clear-cut forested areas in north central North Carolina undergo rapid colonization from pioneer (replacement) vegetation that is often difficult to differentiate spectrally from that previously present. This study compared change detection results for temporal frequencies corresponding to three, seven, and ten-year time intervals for !1ear-anniversary date Landsat 5 Thematic Mapper (TM) data acquisitions corresponding to a single path/row. Change detection was performed using an identical change vector analysis (:cy .l\.) technique tor all imagery dates. Although the accuracy of the three-year analysis was acceptable (86.3%, Kappa=O.55), a significant level of change omission errors resulted (51.7~-0). Accuracies associated with both the seven~year (43.6%, Kappa=O.l 0) a.'ld ten-year (37.2%, Kappa.:a.O5) temporal frequency analyses performed poorly, with excessive change omission errors of 84.8% and 86.3%, respectfully. The average rate of LC change observed over the study area tor the 13- year index period (1987- 2000) was approximately 1.0~/o per a.IU1Ul1l, .Overall results indicated that a minimum of three-four year temporal data acquisition frequency is required to monitor LC change events in north central North Carolina. Reductions in change omission errors could probably best be achieved by further increasing temporal data acquisition frequencies to a one-two year time interval.
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Citation:Lunetta, R. S., D. M. Johnson, J. G. Lyon, and J. Crotwell. Impacts of Imagery Temporal Frequences on Land-Cover Change Detection Monitoring. REMOTE SENSING OF ENVIRONMENT 89(4):444-454, (2004).
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Contact: Chris Siebert - (702) 798-2234 or siebert.christopher@epa.gov
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Division: Environmental Sciences Division
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Branch: Landscape Characterization Branch (RTP)
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Product Type: Journal
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Published: 02/03/2004
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Related Entries:
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Bullet Item Landscape Characterization and Change Detection Methods Development Research (2005-2007)
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Last Updated on Monday, October 22, 2007
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