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HISTORY COLORS
Iria Tobio
Created on December 10, 2023
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Transcript
1. Pre-Flight Preparation
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.
DJI & Meta Iniative
2. Flight and Data Collection
1. Pre-Flight Preparation
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.
1.1 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.
DJI & Meta Iniative
3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing
3. Data Transmission & Receipt
2. Flight and Data Collection
1. Pre-Flight Preparation
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.
1.1 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.
DJI & Meta Iniative
3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing
4. Data Processing
3. Data Transmission & Receipt
2. Flight and Data Collection
1. Pre-Flight Preparation
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.
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.
1.1 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.
DJI & Meta Iniative
5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse
3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing
4. Data Processing
3. Data Transmission & Receipt
2. Flight and Data Collection
1. Pre-Flight Preparation
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.
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.
1.1 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.
5. Digital Twin Update
DJI & Meta Iniative
3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing
3. Data Transmission & Receipt
1. Pre-Flight Preparation
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.
5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse
6. Analysis for Wildfire Prediction
4. Data Processing
2. Flight and Data Collection
6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.
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.
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.
5. Digital Twin Update
DJI & Meta Iniative
3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing
3. Data Transmission & Receipt
1. Pre-Flight Preparation
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.
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
7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks
5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse
6. Analysis for Wildfire Prediction
4. Data Processing
2. Flight and Data Collection
6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.
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.
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.
5. Digital Twin Update
DJI & Meta Iniative
3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing
3. Data Transmission & Receipt
1. Pre-Flight Preparation
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.
8. Feedback and Adjustment
8.1 Stakeholder feedback informs data collection refinement 8.2 Flight paths are adjusted for improved data quality
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
5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse
6. Analysis for Wildfire Prediction
4. Data Processing
2. Flight and Data Collection
6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.
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.
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.
5. Digital Twin Update
DJI & Meta Iniative
3.1 Data is transmitted via secure networks to Meta's cloud. 3.2 Meta's servers automatically log and queue data for processing
3. Data Transmission & Receipt
1. Pre-Flight Preparation
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.
9. Policy and Actionable Response
9.1 Policy makers use data to inform environmental strategies 9.2 emergency services are prepared for rapid response based on risk assesements.
8. Feedback and Adjustment
8.1 Stakeholder feedback informs data collection refinement 8.2 Flight paths are adjusted for improved data quality
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
7.1 Automated reports are generated for EFFIS and ERCC7.2 Stakeholders receive notifications of elevated risks
5.1 Virtual forest models are updated with new data. 5.2 Changes in the enviornment and dynamically reflected in the metaverse
6. Analysis for Wildfire Prediction
4. Data Processing
2. Flight and Data Collection
6.1 Machine learning models evaluate wildfire risk. 6.2 The system generates probability maps and risk assesements.
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.
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.
5. Digital Twin Update
DJI & Meta Iniative