Combinación de datos de teledetección y meteorológicos para el seguimiento de la vegetación forestal de Castilla y León
- P. Illera 1
- A.A. Fernández 2
- J.A. Delgado 1
- A. Fernández 1
- 1 Universidad de Valladolid. Departamento de Física Aplicada
- 2 Universidad de León. Departamento de Ingeniería Agraria
- Alberto Rojo Alboreca (coord.)
- Ignacio Javier Díaz-Maroto Hidalgo (coord.)
- Juan Gabriel Alvarez González (coord.)
- Marcos Barrio Anta (coord.)
- Fernando Castedo Dorado (coord.)
- Guillermo Riesco Muñoz (coord.)
- Antonio Rigueiro Rodríguez (coord.)
Verlag: Consellería de Medio Ambiente, Territorio e Vivenda ; Junta de Galicia = Xunta de Galicia
ISBN: 84-931244-2-7, 84-931244-3-5
Datum der Publikation: 2000
Ausgabe: 1
Seiten: 229-238
Kongress: Congreso de Ordenación y Gestión Sostenible de Montes : (Santiago de Compostela, 4-9 de octubre de 1999) (1. 1999. Santiago de Compostela)
Art: Konferenz-Beitrag
Zusammenfassung
In this paper we present the design and some results of the GIS developed in our Remote Sensing Laboratory to be used for vegetation monitoring. The first source of information is Remote Sensing: Meteosat and NOAA images received and processed daily in our laboratory. Meteosat visible images allow for the calculation of global solar radiation; NOAA-AVHRR data are used to calculate both the Normalised Difference Vegetation Index (NDVI), related with the photosynthetic activity, and surface temperatures. The system includes meteorological data provided by the Spanish Meteorological Institute (INM). Air temperature and rainfall recorded by the regional network have been available and then interpolated to the NOAA images spatial resolution of 1 x 1 km. Finally, digital vegetation mapping derived from the CORINE land cover program and from the CLATERES classification has also been used. The system is being applied for vegetation monitoring following four lines: cereal crop yield estimation, hunting yield evaluation, monitoring of forest areas and estimation of the forest fire danger due to hydric stress of the vegetation. Here, the two last applications are presented.