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

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

Remotely sensed data are increasingly used together with National Forest Inventory (NFI) data to improve the spatial precision of forest variable estimates. In this study, we combined data from the 4th Spanish National Forest Inventory (SNFI-4) and from the 2nd nationwide Airborne Laser Scanning (AL...

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Bibliographic Details
Main Authors: Juan Guerra-Hernández, Brigite Botequim, Sandra Bujan, Alfonso Jurado-Varela, Juan Alberto Molina-Valero, Adela Martínez-Calvo, Cesar Pérez-Cruzado
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:GIScience & Remote Sensing
Subjects:
lidar
mapping
model-based inference
design-based inference
uncertainty
spanish national forest inventory (snfi)
Online Access:http://dx.doi.org/10.1080/15481603.2022.2051383

Internet

http://dx.doi.org/10.1080/15481603.2022.2051383

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