Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/2067/42763
Titolo: | Model-assisted estimation of forest attributes exploiting remote sensing information to handle spatial under-coverage | Autori: | Franceschi, Sara Chirici, Gherardo Fattorini, Lorenzo Giannetti, Francesca Corona, Piermaria |
Rivista: | SPATIAL STATISTICS | Data pubblicazione: | 2021 | Abstract: | © 2020 Elsevier B.V. Model-assisted estimation of forest wood volume is approached exploiting the wall-to-wall information available from satellite data and partial information achieved from airborne laser scanning (ALS) covering a portion of the survey area. If the portion covered by ALS is selected by a probabilistic sampling scheme, two-phase estimators are considered in which the two sources of information are exploited by means of linear and non-linear models. If the portion covered by ALS is fixed because purposively selected, the two sources of information are exploited by the double-calibration estimator. The performance of the proposed strategies is checked by a simulation study from two study areas in Southern and Northern Italy. |
URI: | http://hdl.handle.net/2067/42763 | ISSN: | 2211-6753 | DOI: | 10.1016/j.spasta.2020.100472 |
È visualizzato nelle collezioni: | A1. Articolo in rivista |
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