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meriamlahsaini authored Jan 28, 2025
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# Earth Observation based output
## 1 Definition

(indicative level 4 and beyond) represent a higher level of processing and integration that goes beyond basic data processing. These outputs are often designed specifically for policy or decision-making needs, and can be categorized into sub-categories:

- Outputs from models/Model Integration involves using EO products as inputs in numerical models or combining them with other data sources in modeling frameworks.

### Examples
-Crop yield predictions
- Forest fire risk assessment
- Flood prediction models

- Indicator-Based Outputs: EO products are transformed through specialized algorithms (including statistical methods, machine learning, and pattern recognition) to create meaningful metrics based on spatio-temporal analysis.
### Examples
- Land cover change

- Outputs from Reanalysis: involves merging EO products with other observations and models, creating consistent long-term records of past atmospheric, oceanic, and land surface conditions, and filling gaps through data assimilation techniques.

### Examples
- Climate model reconstructions
- Long-term temperature time series

### Sources
- KCEO

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