Novel Kalman Filter Algorithm for Statistical Monitoring of Extensive Landscapes with Synoptic Sensor Data

Wall-to-wall remotely sensed data are increasingly available to monitor landscape dynamics over large geographic areas. However, statistical monitoring programs that use post-stratification cannot fully utilize those sensor data. The Kalman filter (KF) is an alternative statistical estimator. I deve...

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Detalles Bibliográficos
Autor principal: Czaplewski, Raymond L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610535/
https://www.ncbi.nlm.nih.gov/pubmed/26393588
http://dx.doi.org/10.3390/s150923589

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610535/
https://www.ncbi.nlm.nih.gov/pubmed/26393588
http://dx.doi.org/10.3390/s150923589

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