"Biosphere"

Discovering Differential Equations from Earth Observation Data

Modeling and understanding the Earth system is a constant and challenging scientific endeavour. When a clear mechanistic model is unavailable, complex or uncertain, learning from data can be an alternative. While machine learning has provided …

Extreme Anomaly Event Detection in Biosphere Using Linear Regression and a Spatiotemporal MRF Model

Detecting abnormal events within time series is crucial for analyzing and understanding the dynamics of the system in many research areas. In this paper, we propose a methodology to detect these anomalies in multivariate environmental data. Five …

Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model

Detecting abnormal events within time series is crucial for analyzing and understanding the dynamics of the system in many research areas. In this paper, we propose a methodology to detect these anomalies in multivariate environmental data. Five …

Influence of Heterogeneous Landscapes on Computed Green-up Dates Based on Daily AVHRR NDVI Observations

The main objective of the current paper is to evaluate and explain differences between computed green-up dates of vegetated land surface derived from satellite observations and budburst dates from ground observational networks. Landscapes dominated …