Update earth_observation_based_output.md

docs/earth_observation_based_output.md

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 (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 
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 ### Sources 
 - KCEO