Using enhanced data co-registration to update Spanish National Forest Inventories (NFI) and to reduce training data under LiDAR-assisted inference-Reference-Cited by-同舟云学术

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Using enhanced data co-registration to update Spanish National Forest Inventories (NFI) and to reduce training data under LiDAR-assisted inference

Published:2020-11-09 Issue:1 Volume:42 Page:126-147
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Pascual A.¹²^ORCID,Guerra-Hernández J.¹³,Cosenza D. N.¹,Sandoval-Altelarrea V.⁴

Affiliation:

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

2. Center for Global Discovery and Conservation Science, Arizona State University, Hilo, HA, USA

3. Centro de Iniciativas Empresariais. Fundación CEL, 3edata, Lugo, Spain

4. Servicio de Inventario Forestal, Ministerio de Agricultura, Alimentación y Medio Ambiente, Madrid, España

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1813346

Reference46 articles.

1. Mean species cover: a harmonized indicator of shrub cover for forest inventories

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

3. Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources

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