The paper entitled Large Area Mapping of Boreal Growing Stock Volume on an Annual and Multi-Temporal Level Using PALSAR L-Band Backscatter Mosaics has ben published in the open access journal MDPI Forests.
This study presents an application-oriented approach to derive aboveground growing stock volume (GSV) maps using the annual large-area L-band backscatter mosaics provided by the Japan Aerospace Exploration Agency (JAXA). Furthermore, a multi-temporal map has been created to improve GSV estimation accuracy. Based on information from Russian forest inventory data, the maps were generated using the machine learning algorithm, RandomForest.
Recent results of the cross-comparisons of Radar-based growing stock volume maps and recommandations for forest management are now published in MDPI Forests. Download the paper: Exploiting Growing Stock Volume Maps for Large Scale Forest Resource Assessment: Cross-Comparisons of ASAR- and PALSAR-Based GSV Estimates with Forest Inventory in Central Siberia.
Learn how to use the forest resource maps in the ZAPÁS Geoportal:
Download (PPT, 19.53MB)
This webinar explains the main functions of the ZAPÁS web portal. Learn how to access different forest resource maps (e.g. growing stock volume, high resolution imagery, or forest cover maps) and how to extract information for your specific area of interest.
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 »