DOI: 10.1016/j.foreco.2014.07.025
Scopus记录号: 2-s2.0-84906213632
论文题名: Using a remote sensing-based, percent tree cover map to enhance forest inventory estimation
作者: McRoberts R.E. ; Liknes G.C. ; Domke G.M.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 331 起始页码: 12
结束页码: 18
语种: 英语
英文关键词: Auxiliary information
; Forest inventory
; Model-assisted regression estimator
; Precision
; Stratified estimator
Scopus关键词: Remote sensing
; Auxiliary information
; Forest inventory
; Precision
; Regression estimators
; Stratified estimator
; Forestry
; estimation method
; forest cover
; forest inventory
; population modeling
; remote sensing
; stock assessment
; tree
; ecological modeling
; mapping method
; satellite data
; vegetation cover
; Forestry
; Information Retrieval
; Inventory Control
; Remote Sensing
英文摘要: For most national forest inventories, the variables of primary interest to users are forest area and growing stock volume. The precision of estimates of parameters related to these variables can be increased using remotely sensed auxiliary variables, often in combination with stratified estimators. However, acquisition and processing of large amounts of remotely sensed data can be costly and laborious, and stratified estimation requires construction of strata and satisfaction of within-stratum sample size constraints. An alternative to both challenges is to use an existing remote sensing-based, spatial product with the model-assisted estimators. The latter estimators use continuous auxiliary information directly rather than their aggregation into strata and are not subject to such severe sample size constraints. The objective of the study was to compare estimates of mean proportion forest area and mean growing stock volume per unit area obtained using both stratified and model assisted estimators with a remote sensing-based percent tree canopy cover map as auxiliary information. For a study area in Minnesota, USA, the primary conclusion was that estimates obtained with both sets of estimators were acceptably precise, but that the model-assisted estimators were easier to implement and facilitated aggregation of estimates from smaller sub-areas to estimates for larger areas. © 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65748
Appears in Collections: 影响、适应和脆弱性
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作者单位: Northern Research Station, U.S. Forest Service, 1992 Folwell Avenue, Saint Paul, MN 55108, United States
Recommended Citation:
McRoberts R.E.,Liknes G.C.,Domke G.M.. Using a remote sensing-based, percent tree cover map to enhance forest inventory estimation[J]. Forest Ecology and Management,2014-01-01,331