RT Journal Article
T1 Remote sensing approach to evaluate post-fire vegetation structure
A1 Novo Gómez, Ana
A1 González Jorge, Higinio
A1 Martínez Sánchez, Joaquín
A1 Lorenzo Cimadevila, Henrique Remixio
K1 3106.06 Protección
K1 1203.14 Sistemas de Control del Entorno
K1 3106.10 Incendios forestales
AB Spain is included in the top five European countries with the highest number of wildfires. Forest fire can produce significant impacts on the structure and functioning of natural ecosystems. After a forest fire, the evaluation of the damage severity and spatial patterns are important for forest recovery planning, which plays a critical role in the sustainability of the forest ecosystem. The process of forest recovery and the ecological and physiological functions of the burned forest area should be continuously monitored. Remote sensing technologies and in special LiDAR are useful to describe the structure of vegetation. The vegetation modelling and the initial changes of forest plant composition are studied in the forest after mapping the burned areas using Landsat-7 images and Sentinel-2 images. Normalized Burn Ratio (NBR) index and Normalized Difference Vegetation Index (NVVI) is calculated as well as the difference before and after fire. The evaluation of temporal changes of vegetation are analysed by statistical variables of the point cloud, average height, standard deviation and variance. Fraction Canopy Cover (FCC) also is calculated and the point cloud is classified following the fuel model by Prometheus. An analysis method based on satellite images was completed in order to analyse the evolution of vegetation in areas that suffer forest fire.
PB ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
SN 21949034
YR 2020
FD 2020-08-21
LK http://hdl.handle.net/11093/1561
UL http://hdl.handle.net/11093/1561
LA eng
NO ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLIII-B3-2020, 1031-1038 (2020)
NO TOPACIO Project | Ref. IN852a 2018/37
DS Investigo
RD 04-oct-2023