Earth Trends Modeler

Earth Trends Modeler is a revolutionary earth observation software tool that allows you to model and analyze earth trends and ecosystem dynamics using earth observation image time series. The software is purpose-built for global change research and analysis, such as exploring climate events like El Niño or related sea surface temperature fluctuations and their geographic impacts. Earth Trends Modeler capitalizes on the extraordinary archive of global image time series data that is currently available.

Earth Trends Modeler is fully integrated within the IDRISI GIS and Image Processing software, allowing for seamless data preprocessing, manipulation and analysis. No other software technology provides such a coordinated suite of data mining tools needed by the earth system science community for climate change analysis and impact assessment.

Earth Trends Modeler provides professional tools for environmental trend analysis and spectral decomposition, in particular, tools for the analysis of coupled systems over time. These tools include Principal Components Analysis in both T-mode and S-mode, Empirical Orthogonal Teleconnection, Canonical Correlation Analysis, Multichannel Singular Spectrum Analysis and Multichannel Empirical Teleconnection analysis for analyzing patterns that evolve in space and time, and many others.

Earth Trends Modeler Key Features

  • Extract and analyze long-term global trends and their impacts
  • Examine relationship between time series
  • Examine trends in seasonality
  • Isolate true change from normal environmental variability
  • Uncover and analyze patterns of variability across temporal scales
  • Preprocess image time series data including noise removal and deseasoning

Learn more about Earth Trends Modeler

Earth Trends Modeler Focus Paper (PDF)
IDRISI Selva Brochure (PDF)
Time Series Analysis Video
Geotemporal Analysis Video

Analytical Examples:

 
Explore Trends with Earth Trends Modeler in IDRISI Taiga GIS and Image Processing Software

An analysis of trends in sea surface temperature from 1982 to 2006. The strong monotonic trend of increasing temperature in the Atlantic is seen to be related to the Atlantic Multidecadal Oscillation (AMO) as determined from a temporal regression with four major climate teleconnection indices.

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Analysis of Trends with Earth Trends Modeler in IDRISI Taiga

An illustration of several trend measures. The top image measures linearity in trends in sea surface temperature. As can be seen, the most linear trends include increases in the East and West Greenland currents and the Labrador Sea (all parts of the North Atlantic Subpolar Gyre), and the region at the mouth of the Amazon, most particularly, the Orinoco River.

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