Interpreting the uncertainty of model-based and design-based estimation in downscaling estimates from NFI data: a case-study in Extremadura (Spain)-Reference-Cited by-同舟云学术

Interpreting the uncertainty of model-based and design-based estimation in downscaling estimates from NFI data: a case-study in Extremadura (Spain)

Published:2022-04-04 Issue:1 Volume:59 Page:686-704
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Guerra-Hernández Juan¹,Botequim Brigite²,Bujan Sandra³⁴,Jurado-Varela Alfonso⁵,Molina-Valero Juan Alberto⁶,Martínez-Calvo Adela⁶,Pérez-Cruzado Cesar⁶

Affiliation:

1. Forest Research Centre, School of Agriculture, University of Lisbon, Lisboa, Portugal

2. ForestWISE - Collaborative Laboratory for Integrated Forest & Fire Management, Quinta de Prados, Vila Real, Portugal

3. GI-1934 TB-Biodiversidade - LaboraTe, Departamento de Ingeniería Agroforestal and IBADER, Universidade de Santiago de Compostela, Lugo, Spain

4. Departamento de Tecnología Minera, Topografía y de Estructuras, Universidad de León, Ponferrada, Spain

5. Extremadura Forest Service (Junta de Extremadura), Servicio de Ordenación y Gestión Forestal, Badajoz, Spain

6. Sustainable Forest Management Unit (UXFS). Departamento de Ingeniería Agroforestal, Escuela Politécnica Superior de Ingeniería, Universidad de Santiago de Compostela, Lugo, Spain

Funder

Funda??o para a Ci?ncia e a Tecnologia

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2051383

Reference57 articles.

1. The multi-objective Spanish National Forest Inventory

2. National Forest Inventory and forest observational studies in Spain: Applications to forest modeling

3. Regression Diagnostics

4. Small area estimation of forest attributes in the Norwegian National Forest Inventory

5. Unit-level and area-level small area estimation under heteroscedasticity using digital aerial photogrammetry data

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