EBU6504_smart_arch_notes/4-smart-climate.md

70 lines
2.1 KiB
Markdown
Raw Normal View History

2025-01-09 14:18:25 +08:00
# Smart climate
## Definition
- Climate Data Record: Data to make climate smart:
- Time series of measurements
- Length, consistency, continuity
- Determine climate variability, and change
- To monitor changes in order to predict / mitiagte the consequences
- Variability:
- El Nino
- La Nina
- Land disturbance: A **event** that triggers disrupts in ecosystems, community
or population structure, and changes resources, substance availability or
physical environment
- Climate change: global warming
- Succession
- Process that the structure of a biological community changes over time
## Reason
- Animal-based food production emits GCG
- Climate change
- Areas affected by desertification
## Implementation
- Before smart climate
- Data collected and managed by governments
- Greenhouse gas (GCG) emission relies on self reporting
- Calculated based on known fuel consumption
- Data is sparse in space and time, also incomplete
- Earth observation: acquire data from a variety of sensors
- Remote sensing:
- Capture images in a spectrum
- Classify land coverage and use, incl. change over time
- Measure the geometry of natural and human made objects
- Identify and differenciate species of vegetation
- Carbon Dioxide Removal (CDR)
- Change agent characterization:
- Change agent: a driver or factor of change
- Direct or proxiamte causes
- Distal or underlying driving forces
- Attribution:
- Can happen simultaneously or in proximity
- Result in change
- Challenging to collect high quality change agent
## Examples
### Detecting fire with remote sensing
### Detecting change agent
#### Using random forest
### Detecting deforestation with remote sensing
### Frequency of observations
## Collaborate for better EO information
- data fusion proces
- Input: Hetereogeneous data
- Process: data alignment and data / object correlation
- Intemediate output: Alighed and correlated data
- Process: Attribute or identity estimation
- Result: fusion data
- Obervation level, feature level, decision level