Updating annual state- and county-level forest inventory estimates with data assimilation and FIA data

Author:

Hou Zhengyang,Domke Grant M.,Russell Matthew B.,Coulston John W.,Nelson Mark D.,Xu QingORCID,McRoberts Ronald E.

Funder

International Centre for Bamboo and Rattan

Northern Research Station

National Natural Science Foundation of China

Minnesota Department of Agriculture

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference67 articles.

1. An error-components model for prediction of county crop areas using survey and satellite data;Battese;J. Amer. Statist. Assoc.,1988

2. Bechtold, W.A., Patterson, P.L., 2005. The enhanced forest inventory and analysis program – national sampling design and estimation procedures. General Technical Report SRS-80. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC. Available online at: https://www.fs.usda.gov/treesearch/pubs/20371.

3. Advanced data assimilation for geosciences;Blayo,2014

4. Brandeis, T.J., 2015. Georgia’s forests, 2009. Resource Bulletin SRS-207. U.S. Department of Agriculture Forest Service, Southern Research Station, Asheville, NC.

5. Brewer, K.R.W., Gregoire, T.G., 2009. Introduction to survey sampling. Handbook of Statistics – Vol 29A. Sample Surveys: Design, Methods and Applications. Atlanta: Elsevier B.V.

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