IDEAS home Printed from https://ideas.repec.org/a/wly/envmet/v27y2016i4p225-238.html
   My bibliography  Save this article

Remote sensing estimates and measures of uncertainty for forest variables at different aggregation levels

Author

Listed:
  • F. Mauro
  • I. Molina
  • A. García‐Abril
  • R. Valbuena
  • E. Ayuga‐Téllez

Abstract

No abstract is available for this item.

Suggested Citation

  • F. Mauro & I. Molina & A. García‐Abril & R. Valbuena & E. Ayuga‐Téllez, 2016. "Remote sensing estimates and measures of uncertainty for forest variables at different aggregation levels," Environmetrics, John Wiley & Sons, Ltd., vol. 27(4), pages 225-238, June.
    • Handle: RePEc:wly:envmet:v:27:y:2016:i:4:p:225-238
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Steen MAGNUSSEN, 2018. "An estimation strategy to protect against over-estimating precision in a LiDAR-based prediction of a stand mean," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 64(12), pages 497-505.
    2. Steen Magnussen & Johannes Breidenbach, 2020. "Retrieval of among-stand variances from one observation per stand," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(4), pages 133-149.
    3. Francisco Mauro & Vicente J Monleon & Hailemariam Temesgen & Kevin R Ford, 2017. "Analysis of area level and unit level models for small area estimation in forest inventories assisted with LiDAR auxiliary information," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:envmet:v:27:y:2016:i:4:p:225-238. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1180-4009/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.