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.
- 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?
The mission of the Siberian Earth System Science Cluster (Sib-ESS-C) is to provide a web-based infrastructure and comprehensive information products derived from Earth Observation that support environmental and earth system research in Siberia. The ZAPÁS project is closely linked to the SIB-ESS-C developments and uses its capabilities by integrating local and regional sclale forest resource maps and using the SIB-ESS-C land dynamics analyses tools.
After developing regional and local scale forest resource maps based on optical and SAR satellite data, all geoinformation products are now integrated in the SIB-ESS-C geoportal. The portal can be used to apply the so-called multi-resolution concept in earth observation. In the case of the ZAPÁS initiative, state and dynamics of forest resourcees can be assessed for the Central Siberian test region.
Deforestation Map based on four years of growing stock volume assessments (2007 - 2010) overlain Google Earth imagery. The red patches show abrupt reduction of biomass indicating mainly deforestation patterns of large scale logging areas and some fire patches. Source: SIB-ESS-C.
The complete set of EO-based forest resource maps related to biomass and forest cover tracking is accessable via the SIB-ESS-C Geoportal. The basic funcions are explained in a tutorial. To access the ZAPÁS products click on ZAPÁS in the Study Areas section of the Data Catalog. More »
The two days ZAPÁS validation workshop started on Tuesday 14 May with a welcoming by Anatoly Shvidenko followed by a project status presentation given by Christian Hüttich. The Meeting aimed to prepare a road map for the next steps, in particular how to operationalize and implement developed methods, derive product validation information and prepare the task on terrestrial carbon accounting for Central Siberia.
ZAPÁS consortium at IIASA, Laxenburg
The status of the available forest inventory was presented by Mikhail Korets. The inventory could be provided for all local test sites. It was stated that in some cases the old inventory is (probably) more accurate than the most recent update. Reasons could be that information was eventually transferred from old maps from the 70ies. The local scale mapping (methods and products) was presented by the FSU team. More »
News on the GOFC-GOLD Land Cover Implementation Team were recently published in the latest Newsletter of the GOFC-GOLD Land Cover Project Office
Content: Central Siberia’s Forests resource monitoring - 3rd GOFC-GOLD Symposium - Outcomes of the UNFCCC COP 18 Forest Day - Voluntary REDD+ databse (VRD) - GlobBiomass User Consultation meeting - Landsat Data Continuity Mission - The REDD Cookbook - Calendar of activities
One key objective of the ZAPÁS project (in close cooperation with the ESA project BIOMASAR-II) is the mapping and monitoring of growing stock volume at multiple scales. Different satellite data are being explored, for intance to track cover changes of the natural Taiga forest in the Krasnoyarsk and Irkutsk regions in Central Siberia. In the framework of the EU-Russia Space Dialogue data from the ESA ROSCOSMOS and JAXA Space Agencies are analyzed. After the first project year, the following data sourses are analysed:
- Very high resolution: RESURS DK-1 [5 m] (Validation)
- High resolution: ALOS PALSAR [25 m] (local to regional scale Growing Stock Volume mapping)
- Coarse resolution: ENVISAT ASAR [1 km] (regional scale Growing Stock Volume mapping)
The recently published book “Let’s embrace space” contains around 50 projects from thwe 3rd call of the FP7 SPACE research programm. Ongoing research projects covering topics from land monitoring, space propulsion, and space whether are introduced. The ZAPÁS project is included in Chapter 14 in part I Earth Observation - land monitoring. The 560 page book is available for download in the EU book shop.
Let’s embrace Space