Near-real-time forests disturbance monitoring

• Mihai Tanase ^[1] ; María Teresa Lamelas Gracia ^[2] ; Alberto García-Martín ^[2]
  1. [1] Universidad de Alcalá

     Universidad de Alcalá

     Alcalá de Henares, España

     
  2. [2] Centro Universitario de la Defensa de Zaragoza, Academia General Militar. Zaragoza. España
• Localización: Geographicalia, ISSN-e 2386-3021, ISSN 0210-8380, Nº 74, 2022, págs. 143-152
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• 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.