RT Journal Article
T1 Multi-temporal Sentinel-2 data analysis for smallholding forest cut control
A1 López Amoedo, Alberto
A1 Álvarez Bermúdez, Xana
A1 Lorenzo Cimadevila, Henrique Remixio
A1 Rodríguez Somoza, Juan Luis
K1 3106 Ciencia Forestal
K1 3106.04 Ordenación de Montes
K1 2505.04 Utilización del Terreno
AB Land fragmentation and small plots are the main features of the rural environment of Galicia (NW Spain). Smallholding limits land use management, representing a drawback in local forest planning. This study analyzes the potential use of multitemporal Sentinel-2 images to detect and control forest cuts in very small pine and eucalyptus plots located in southern Galicia. The proposed approach is based on the analysis of Sentinel-2 NDVI time series in 4231 plots smaller than 3 ha (average 0.46 ha). The methodology allowed us to detect cuts, allocate cut dates and quantify plot areas due to different cutting cycles in an uneven-aged stand. An accuracy of approximately 95% was achieved when the whole plot was cut, with an 81% accuracy for partial cuts. The main difficulty in detecting and dating cuts was related to cloud cover, which affected the multitemporal analysis. In conclusion, the proposed methodology provides an accurate estimation of cutting date and area, helping to improve the monitoring system in sustainable forest certifications to ensure compliance with forest management plans.
PB Remote Sensing
SN 20724292
YR 2021
FD 2021-07-29
LK http://hdl.handle.net/11093/2429
UL http://hdl.handle.net/11093/2429
LA eng
NO Remote Sensing, 13(15): 2983 (2021)
NO Xunta de Galicia | Ref. ED431C 2020/01
DS Investigo
RD 03-oct-2023