Remote sensing

Estimación de la altura del complejo de combustible en comunidades de matorral desarbolado a partir de datos LIDAR de baja densidad

Participation in congresses and scientific meetings

Arellano-Pérez S., Guerra-Hernández J., Botequim B., Alonso-Rego C., López-Fernández M., Álvarez-González J.G., Guilherme-Borges, J.G., Ruiz-González A. D. 2022. Estimación de la altura del complejo de combustible en comunidades de matorral desarbolado a partir de datos LIDAR de baja densidad. (Poster) 8º Congreso Forestal Español: “La ciencia forestal y su contribución a los objetivos de desarrollo sostenible”. Lleida, Cataluña (España), 27/06/2022-1/07/2022
En: SECF. 2022. 8º Congreso Forestal Español: “La ciencia forestal y su contribución a los objetivos de desarrollo sostenible”. 8CFE-448, 13 pp. ISBN: 978-84-941695-6-4

Actas del Workshop sobre Teledetección Próxima Terrestre para Aplicaciones Forestales

Scientific publications of proceedings of congresses and meetings, special numbers of scientific journals

Molina Valero, J.A., Rodríguez Ruiz, J., Pérez Cruzado, C., Martínez Calvo, A. 2022. Actas del Workshop sobre Teledetección Próxima Terrestre para Aplicaciones Forestales. Escuela Politécnica Superior de Ingeniería, USC. Lugo, 2021. ISBN: 978-84-09-37465-6. Depósito Legal: C 17-2022 http://hdl.handle.net/10347/27511

FORTLS: Un paquete de R para el uso operativo de dispositivos terrestres de tecnología LiDAR en inventario forestal.

Participation in congresses and scientific meetings

Molina-Valero, J.A., Martínez-Calvo, A., Ginzo Villamayor, M.J., Novo Pérez, M.A., Álvarez-González, J.G., Montes, F., Pérez-Cruzado, C. 2022. FORTLS: Un paquete de R para el uso operativo de dispositivos terrestres de tecnología LiDAR en inventario forestal. (Poster) 8º Congreso Forestal Español: “La ciencia forestal y su contribución a los objetivos de desarrollo sostenible”. Lleida, Cataluña (España), 27/06/2022-1/07/2022
En: SECF. 2022. 8º Congreso Forestal Español: “La ciencia forestal y su contribución a los objetivos de desarrollo sostenible”. 8CFE-171, 19 pp. ISBN: 978-84-941695-6-

Estimating stand and fire-related surface and canopy fuel variables in pine stands using low-density airborne and single-scan terrestrial laser scanning data

Papers published in Research Journals included in the JCR or SJR

Alonso-Rego, C., Arellano-Pérez, S., Guerra-Hernández, J., Molina-Valero, J.A., Martínez-Calvo, A., Pérez-Cruzado, C., Castedo-Dorado, F., González-Ferreiro, E., Álvarez-González, J.G., Ruiz-González, A.D. 2021. Estimating stand and fire-related surface and canopy fuel variables in pine stands using low-density airborne and single-scan terrestrial laser scanning data. Remote sensing 13(24), 5170. DOI: 10.3390/rs13245170

Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data

Papers published in Research Journals included in the JCR or SJR

Guerra-Hernández, J., Arellano-Pérez, S., González-Ferreiro, E., Pascual, A., Sandoval Altelarrea, V., Ruiz-González, A.D., Álvarez-González, J.G. 2021. Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data. Forest Ecology and Management 481:118690. DOI: 10.1016/j.foreco.2020.118690

Assessing a novel modelling approach with high resolution UAV imagery for monitoring health status in priority riparian forests

Papers published in Research Journals included in the JCR or SJR

Guerra-Hernández, J., Díaz-Varela, R.A., Álvarez-González, J.G., Rodríguez-González, P.M. 2021. Assessing a novel modelling approach with high resolution UAV imagery for monitoring health status in priority riparian forests. Forest Ecosystems 8:61. DOI:10.1186/s40663-021-00342-8

FORTLS: An R Package for Processing TLS Data and Estimating Stand Variables in Forest Inventories. Proceedings

Papers published in Research Journals not included in the JCR or SJR

Molina-Valero, J.A., Ginzo Villamayor, M.J., Novo Pérez, M.A., Álvarez-González, J.G., Montes, F., Martínez-Calvo, A., Pérez-Cruzado, C. 2021. FORTLS: An R Package for Processing TLS Data and Estimating Stand Variables in Forest Inventories. Environmental Sciences Proceedings 3 (1):38. DOI: 10.3390/IECF2020-08066

FORTLS: an R Package for Processing TLS Data and Estimating Stand Variables in Forest Inventories.

Participation in congresses and scientific meetings

Molina-Valero, J.A., Martínez-Calvo, A., Ginzo Villamayor, M.J., Novo Pérez, M.A., Álvarez-González, J.G., Montes, F., Pérez-Cruzado, C. 2021. FORTLS: an R Package for Processing TLS Data and Estimating Stand Variables in Forest Inventories. (Oral). Workshop Biostatnet Software. 16/06/2021 (online). https://biostatnet.com/eventos-organizados/online-workshop-biostatnet-software/

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