HISTORY COLORS

DJI & Meta Iniative

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

1. Pre-Flight Preparation

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DJI & Meta Iniative

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

1. Pre-Flight Preparation

2. Flight and Data Collection

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

DJI & Meta Iniative

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

1. Pre-Flight Preparation

2. Flight and Data Collection

3. Data Transmission & Receipt

3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

DJI & Meta Iniative

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

4.1 Raw data is filtered, cleaned, and structured4.2 Advanced algorithns analyse the data for significant patterns. 4.3 Data is converted into metaverse-compatible formats.

1. Pre-Flight Preparation

2. Flight and Data Collection

3. Data Transmission & Receipt

4. Data Processing

3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

DJI & Meta Iniative

5. Digital Twin Update

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

4.1 Raw data is filtered, cleaned, and structured4.2 Advanced algorithns analyse the data for significant patterns. 4.3 Data is converted into metaverse-compatible formats.

1. Pre-Flight Preparation

2. Flight and Data Collection

3. Data Transmission & Receipt

4. Data Processing

3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing

5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

DJI & Meta Iniative

5. Digital Twin Update

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

4.1 Raw data is filtered, cleaned, and structured4.2 Advanced algorithns analyse the data for significant patterns. 4.3 Data is converted into metaverse-compatible formats.

6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.

2. Flight and Data Collection

4. Data Processing

6. Analysis for Wildfire Prediction

5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

1. Pre-Flight Preparation

3. Data Transmission & Receipt

3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

DJI & Meta Iniative

5. Digital Twin Update

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

4.1 Raw data is filtered, cleaned, and structured4.2 Advanced algorithns analyse the data for significant patterns. 4.3 Data is converted into metaverse-compatible formats.

6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.

2. Flight and Data Collection

4. Data Processing

6. Analysis for Wildfire Prediction

5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

1. Pre-Flight Preparation

3. Data Transmission & Receipt

3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

DJI & Meta Iniative

5. Digital Twin Update

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

4.1 Raw data is filtered, cleaned, and structured4.2 Advanced algorithns analyse the data for significant patterns. 4.3 Data is converted into metaverse-compatible formats.

6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.

2. Flight and Data Collection

4. Data Processing

6. Analysis for Wildfire Prediction

5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

8.1 Stakeholder feedback informs data collection refinement 8.2 Flight paths are adjusted for improved data quality

8. Feedback and Adjustment

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

1. Pre-Flight Preparation

3. Data Transmission & Receipt

3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

DJI & Meta Iniative

5. Digital Twin Update

2.1 Drones take off and navigate using pre-set paths2.2 Multi-spectral cameras and sensors collect enviornmental data. 2.3 Drones perform in-flight data processing and sotrage.

4.1 Raw data is filtered, cleaned, and structured4.2 Advanced algorithns analyse the data for significant patterns. 4.3 Data is converted into metaverse-compatible formats.

6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.

2. Flight and Data Collection

4. Data Processing

6. Analysis for Wildfire Prediction

5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks

7. Information sharing with stakeholders

8.1 Stakeholder feedback informs data collection refinement 8.2 Flight paths are adjusted for improved data quality

8. Feedback and Adjustment

9.1 Policy makers use data to inform environmental strategies 9.2 emergency services are prepared for rapid response based on risk assesements.

9. Policy and Actionable Response

1.1 DJI sets flight schdules and paths1.2 Traget forests areas are selected based on risk profiles and histroical data. 1.3 Pre-flight checks ensure drones' optimal functioning.

1. Pre-Flight Preparation

3. Data Transmission & Receipt

3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

HISTORY COLORS

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