ForestFire2023 Computer Vision Project

Here are a few use cases for this project:

1. Forest Health Monitoring: This model can be leveraged by environmental agencies to regularly monitor the state of forests, identify early signs of beetle infestation or tree mortality, and possibly predict potential wildfire outbreaks.

2. Forest Management and Logging Industry: Businesses in the forestry sector may use this model to classify and record the condition of trees in a given area for better and sustainable harvesting practices by efficiently distinguishing healthy trees from dead ones or those affected by pests.

3. Ecological Research: Scientists and researchers can use this model in ecological studies, especially when studying the impacts of pests and diseases on tree populations or tracking forest recovery after a wildfire.

4. Wildfire Damage Assessment: Government agencies and insurers can utilize this model to estimate and map the extent of damage after a wildfire occurence. This can aid in efficient allocation of resources for rehabilitation and compensation.

5. Unmanned Aerial Vehicles (Drones): This model can be integrated with drones to automatically capture the health status of forests over large areas. The drones will classify and tag images with 'Alive Tree', 'Dead Tree', 'Debris', or 'Beetle/Fire Tree' making localized interventions more feasible.