Multi-Source Data Integration and Analysis for Land Monitoring in Siberia

摘要: Land monitoring is a key issue in Earth system sciences analyzing environmental changes. To generate knowledge about changes, e.g., by decreasing uncertainties the products and to build confidence land change monitoring, multiple information sources are needed. observation (EO) satellites situ measurements available for operational of surface. As availability well-prepared geospatial time-series data research limited, user-dependent processing steps with respect source formats pose additional challenges. Further necessary analysis data. In most cases, it possible support science spatial infrastructures (SDI) web services provide processed format plots further interpretation. Data middleware proposed as technical solution improve interdisciplinary using multi-source standardized acquisition, pre-processing, updating analyses. This being implemented within Siberian System Science Cluster (SIB-ESS-C), which combines various EO climate focus on vegetation temperature Products from Moderate Resolution Imaging Spectroradiometer (MODIS), meteorological stations high resolution Landsat that connected different providers. Analytical tools have been integrated can be used plotting, phenological dates, trend calculations, break point detection, comparison existing open-source software packages. The development this SDI based definition automated on-demand searching, ordering processing, along standard-compliant services. Therefore, up system. developed, consisting user-friendly access, download, interpretation infrastructure, SIB-ESS-C use.