Project Description: This project involves creating an interactive dashboard to monitor and visualize the spread of an invasive insect species across multiple forest types. The dashboard integrates data from drone imagery, GPS-tagged field observations, and satellite data to provide real-time insights into affected areas. It is designed analyze pest density, spread trends, and other critical metrics.

Features: Geospatial Visualization: Displays pest density and affected regions on an interactive map using ArcGIS Maps for Power BI. Data Breakdown: Detailed analysis of insect counts by forest type and data source through bar charts and tables. Real-Time Updates: Supports real-time data streaming for live updates from field observations and telemetry. Filter and Drill-Down: Filters by date, forest type, and data source for focused analysis. Heat Maps: Visual representation of pest density hotspots across forest regions. Data Sources: Drone Imagery: High-resolution images with geospatial data. GPS-Tagged Field Observations: Direct field data, including timestamps and coordinates. Satellite Data: Large-scale coverage of affected areas for historical and real-time analysis. Tools and Technologies: Power BI: Used for data integration, visualization, and dashboard creation. Features: Power Query Editor, ArcGIS Maps, Shape Map, and streaming datasets. ArcGIS Maps for Power BI: Enables advanced geospatial visualizations and mapping capabilities. Data Storage: CSV files for static data and streaming datasets for real-time inputs. Supporting Tools: Microsoft Power Automate: Automates data refresh processes. Python (Optional): For preprocessing large or complex datasets. Steps to Run the Project: Data Preparation:

Ensure all data sources are formatted correctly (e.g., CSV files with clean and standardized fields). Confirm GPS coordinates are valid and consistent (decimal format). Load Data into Power BI:

Open Power BI Desktop and import the data from the provided CSV file (Invasive_Insect_Data.csv). Use Power Query Editor to clean and transform the data if necessary. Create Visualizations:

Map Visualization: Plot GPS_Latitude, GPS_Longitude, and Insect_Count. Bar Chart: Use Forest_Type and Insect_Count for comparison. Table: Display Source, Date, Forest_Type, Insect_Count, and Observation_Note. Add Slicers and Filters:

Include slicers for Date and Source to filter data dynamically. Configure Real-Time Data:

Set up streaming datasets for live updates (if required). Use Power Automate to connect live feeds from field teams or telemetry data. Publish the Dashboard:

Publish the dashboard to Power BI Service for web-based access. Share the dashboard with the research team, ensuring appropriate access permissions.