Skip to Main Content
Kalman filter for statistical monitoring of forest cover across sub-continental regionsAuthor(s): Raymond L. Czaplewski
Source: Biometric Bulletin. 8(4): 6016.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: View PDF (190.0 KB)
DescriptionThe Kalman filter is a multivariate generalization of the composite estimator which recursively combines a current direct estimate with a past estimate that is updated for expected change over time with a prediction model. The Kalman filter can estimate proportions of different cover types for sub-continental regions each year. A random sample of high-resolution satellite scenes at time t=0 is classified into detailed categories to estimate proportion of cover types in the population, and its sample covariance matrix. Coarse-resolution weather satellite data at time t=0 are also classified for the entire study area (i.e. a census), but less detailed categories are used that are consistent with the coarse resolution of these data. The Kalman filter combines the two multivariate population estimates into a composite vector estimate. A probability transition matrix can estimate the proportions of the detailed cover types at time t=2 given the previous composite estimate at time t=1. This estimate can be combined with any new estimates for time t=2 (e.g. new coarse-resolution satellite data). This procedure is repeated for each time period.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
CitationCzaplewski, Raymond L. 1991. Kalman filter for statistical monitoring of forest cover across sub-continental regions. Biometric Bulletin. 8(4): 6016.
KeywordsKalman filter, forest cover, statistical monitoring, estimate
- Numerically stable algorithm for combining census and sample estimates with the multivariate composite estimator
- Kalman filter for statistical monitoring of forest cover across sub-continental regions [Symposium]
- Alternative method to validate the seasonal land cover regions of the conterminous United States
XML: View XML