Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests-Reference-Cited by-同舟云学术

Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests

Published:2024-02-18 Issue:1 Volume:57 Page:
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Guerra-Hernández Juan¹^ORCID,Pascual Adrian²^ORCID,Tupinambá-Simões Frederico³^ORCID,Godinho Sergio⁴⁵^ORCID,Botequim Brigite⁶^ORCID,Jurado-Varela Alfonso⁷,Sandoval-Altelarrea Vicente⁸

Affiliation:

1. Forest Research Centre, Associate Laboratory TERRA, School of Agriculture (ISA), University of Lisbon, Lisboa, Portugal

2. Department of Geographical Sciences, University of Maryland, College Park, MD, USA

3. iuFOR, Sustainable Forest Management Research Institute, University of Valladolid & INIA, Palencia, Spain

4. EaRSLab—Earth Remote Sensing Laboratory, University of Évora, Évora, Portugal

5. Institute of Earth Sciences (ICT), Universidade de Évora, Évora, Portugal

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

7. Extremadura Forest Service (Junta de Extremadura), Carretera de San Vicente s/n, Badajoz, Spain

8. Servicio de Inventario Forestal, Área de Inventario y Estadísticas Forestales, Ministerio para la Transición Ecológica y el Reto Demográfico (MITECO), Madrid, Spain

Funder

PORTUGAL 2020

Fundação para a Ciência e a Tecnologia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2024.2315413

Reference64 articles.

1. Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales

2. The multi-objective Spanish National Forest Inventory

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

4. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

5. On the use of earth observation to support estimates of national greenhouse gas emissions and sinks for the global stocktake process: Lessons learned from ESA-CCI RECCAP2;Bastos A.;Carbon Balance and Management,2022

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