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Improving the accuracy of multisource forest inventory estimates to reducing plot location error — a multicriteria approach

  • Published:2001-12 Issue:3 Volume:78 Page:321-327
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Halme Merja,Tomppo Erkki

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference15 articles.

1. An introduction to the bootstrap;Efron,1993

2. Practical use of multi-source inventories in Central Europe;Eisele,1997

3. Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method;Franco-Lopez;Remote Sensing of Environment,2001

4. Tabu search;Glover,1999

5. Use and evaluation of synthetic estimators;Gonzalez,1973

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2. Rubber Trees and Biomass Estimation Using Remote Sensing Technology;Concepts and Applications of Remote Sensing in Forestry;2022

3. Responses of Multi‐Frequency Remote Sensing to Forest Biomass;Advances in Remote Sensing for Natural Resource Monitoring;2021-01-22

4. Using enhanced data co-registration to update Spanish National Forest Inventories (NFI) and to reduce training data under LiDAR-assisted inference;International Journal of Remote Sensing;2020-11-09

5. Estimating aboveground biomass in subtropical forests of China by integrating multisource remote sensing and ground data;Remote Sensing of Environment;2019-10
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