Author(s)

Soumia El Ahmadi^1*, Hassan Ramzi¹, Abderrahman Aafi¹, Nejm Eddine Jmii², Taoufik Aadel³

¹National Forestry School of Engineering, Salé, Morocco.
²University of Quebec in Outaouais, Institute of Temperate Forest Sciences, Ripon, Canada.
³National Center for Climate and Forest Risk Management, Rabat, Morocco.

Cork oak in Maamora forest is experiencing the dieback phenomenon. The evaluation of the latter in this forest has gained the importance over time and with the solicitation of managers to objectify its phytosanitary situation. Aiming at prioritizing management actions, remote sensing seems to be an effective tool to inquire about stands’ health conditions and their evolution. To this end, this study aims at mapping and validating health status of cork oak stands in Maamora. Sentinel 2 images in 2015 and 2020 were processed to calculate the differential normalized difference water index (NDWI), revealing vegetation moisture variation caused by drought. A statistical method based on thresholds was used to map cork oak dieback stands, those with no changes and those recovered. Results have shown that 54.63% of cork oak in Maamora forest have not changed in terms of phytosanitary situation between 2015 and 2020, 31.10% of oak stands are afflicted by a slight decline and 12.97% by a severe decline. Areas with slight or strong recovery remain minimal and represent 1.04% and 0.25% respectively. Ground data indicated that the map generated displayed a good distinction between stands severely and slightly declined with a global accuracy of 66.66%. Therefore, further research elaborating an advanced vegetation index reflecting the various factors of dieback would be of much importance.

Dieback, Cork Oak Forest, Mâamora, Satellite Images, Crown Condition

Ahmadi, S. , Ramzi, H. , Aafi, A. , Jmii, N. and Aadel, T. (2023) Assessment of Cork Oak Decline Using Digital Multispectral Imagery in Relation with in Situ Crown Condition. Open Journal of Forestry, 13, 145-160. doi: 10.4236/ojf.2023.131010.