Benefits of past inventory data as prior information for the current inventory
Kangas, Annika; Gobakken, Terje; Næsset, Erik (2020)
Kangas, Annika
Gobakken, Terje
Næsset, Erik
Julkaisusarja
Forest Ecosystems
Volyymi
7
Numero
1
Springer Science and Business Media LLC
2020
Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe2020042019252
http://urn.fi/URN:NBN:fi-fe2020042019252
Tiivistelmä
When auxiliary information in the form of airborne laser scanning (ALS) is used to assist in estimating the population parameters of interest, the benefits of prior information from previous inventories are not self-evident. In a simulation study, we compared three different approaches: 1) using only current data, 2) using non-updated old data and current data in a composite estimator and 3) using updated old data and current data with a Kalman filter. We also tested three different estimators, namely i) Horwitz-Thompson for a case of no auxiliary information, ii) model-assisted estimation and iii) model-based estimation. We compared these methods in terms of bias, precision and accuracy, as estimators utilizing prior information are not guaranteed to be unbiased.
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