Near-real-time forests disturbance monitoring

  1. Mihai Tanase 1
  2. María Teresa Lamelas Gracia 2
  3. Alberto García-Martín 2
  1. 1 Departamento de Geología, Geografía y Medioambiente, Universidad de Alcalá. Alcalá de Henares. Madrid. España
  2. 2 Centro Universitario de la Defensa de Zaragoza, Academia General Militar. Zaragoza. España
Revista:
Geographicalia

ISSN: 0210-8380,  2386-3021

Año de publicación: 2022

Número: 74

Páginas: 143-152

Tipo: Artículo

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Otras publicaciones en: Geographicalia

Resumen

Short Communication about the project "Near-real-time forests disturbance monitoring" led by Mihai Tanase and supported by the Spanish Ministry of Science and Innovation (PID2020-114062RA-I00). The project has two objectives: 1) appraise spatial-temporal trends in forest disturbance by creating an open access national database spanning the last four decades from historical EO datasets and 2) develop a novel near-real-time integrated forest monitoring framework based on the integration of low-frequency high-resolution (<10m) national airborne data with frequently acquired medium-resolution (10-50 m) spaceborne imagery.

Fuente de los datos: Dialnet