ZAPÁS

The Earth Observation Monitor (EOM) is a product based on the Siberian Earth System Science Cluster established at the Department of Earth Observation at the Friedrich-Schiller University Jena. Time-series data from NASA MODIS sensor is provided for an easy access and analysis with web-based technologies. The analysis of time-series data is focused on the detection of breakpoints, trends and phenological parameters. With an automated data access and analysis process the user does not need to process the data.

Features:

• Individual time-series filtering based on quality flags and user-defined date range
• Time-series analysis for breakpoints, trends, and phenological parameters with individual parameterization
• Export of processed data for offline usage
• Sharing of analyses with other users

A new paper has been published recently in the Journal of Remote Sensing Technology assessing the effects of scale, texture and geometrical features withing GSV modeling using SAR data and OBIA.

The assessment and monitoring of forest resources in Siberia, as one of the aims of the EU FP7 ZAPÁS project is being implemented in the Siberian Earth System Science Cluster (SIB-ESS-C). The recently launched Earth Observation Monitor (EOM) is a product based on the Siberian Earth System Science Cluster established at the Department of Earth Observation at the Friedrich-Schiller University Jena. Time-series data from NASA MODIS sensor is provided for an easy access and analysis with web-based technologies. The analysis of time-series data is focused on the detection of breakpoints, trends and phenological parameters. The web-based access to MODIS time series data and time series analyses tools is fostering the operational use of recent earth observation time series data to detect forest change processes. With an automated data access and analysis process the user does not need to process the data. Get the EOM flyer here and test the functionality for your area.

Bfast detects breakpoints in remote sensing time series and enables the detection of points in time. The example shows logging activities detected in 2005 in the Taiga of Central Siberia followed by changing phenological cycling due to reforestation.

The ZAPÁS team meets for the 3rd annual progress meeting in Berlin at the Institute for Space Sciences of the Freie Universität Berlin from 10 – 11 April 2014. The workshop is aiming to finalize the validation activities as done so far for the local scale biomass and forest cover & disturbance maps, as well as the regional scale land cover and biomass produts. One of the main goals of the meeting will be to discuss the results of the last milestone of the full carbon ecosystem assessment. Questions as follows will be discussed during the two days: What is the state of Central Siberia’s carbon distribution? How much does scale matter? What kind of uncertainties are we dealing with by integration forest inventory and multi-scale earth observation products?