Publication Date
Fall 9-30-2025
Faculty Department
School of Integrated Sciences
Document Type
Article
Abstract
The Protected Areas (PAs) in Ghana play a critical role in preserving the abundant biodiversity of the West Africa Green Belt. But recent changes in policies and regulations have facilitated logging and mining activities, which have accelerated forest disturbances. While there is a consensus that PAs are undergoing destructive change, the extent, rate, and locations of forest disturbances are undocumented. In this study, we applied the fusion near real-time (FNRT) algorithm that utilizes Landsat, Sentinel-1, and Sentinel-2 data and sampling to monitor forests in the PAs of Ghana. The results reveal that 704.74 (±177.24) km2 of forest in the PAs were lost in 2023 and 2024, representing 6 % (±1.5 %) of their forest area. Additionally, the forest disturbance rate in 2024 was estimated to be 91 % higher than the rate observed in 2023 (95 % CI: 34 %–172 %). Extensive forest disturbance areas were found in the PAs around Kumasi, such as the Tano Ofin (15.4 % ±3.9 %), Tinte Bepo (42 % ± 10.5 %), and Oda River (18.5 % ± 4.7 %) PAs. Native forests in these PAs are at high risk of further degradation or disappearance in the absence of effective conservation measures. We compared the FNRT results with other alert systems, including RADD and GLAD-L. The comparison demonstrates that multi-sensor fusion provides more timely and accurate detection of forest disturbances in the study area.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Dong, Luofan; Tang, Xiaojing; Mensah, Foster; Abubakari, Bashara Ahmed; Bratley, Kelsee H.; Olofsson, Pontus; and Woodcock, Curtis E., "Near real-time monitoring reveals extensive recent forest disturbance in Ghana’s protected areas" (2025). Faculty Scholarship. 12.
https://commons.lib.jmu.edu/faculty-submissions/12
Included in
Environmental Monitoring Commons, Geographic Information Sciences Commons, Natural Resources and Conservation Commons, Natural Resources Management and Policy Commons, Remote Sensing Commons, Spatial Science Commons, Sustainability Commons
