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