Dynamic land use monitoring by fusion of satellite data - DynLand

European Space Agency (ESA) Plan for European Cooperating States (PECS) project

Prime Contractor: Institute of Electronics and Computer Science
Subcontractor: Latvian State Forest Research Institute “Silava”
Project number: 4000118771/16/NL/SC
Scientific manager: Dr.sc.comp. Ints Mednieks
Scientific manager of the subcontractor: Mg.biol. Juris Zariņš
Time frame: from December 1, 2016 to November 30, 2018

DynLand project aims at creation of dedicated software tools for dynamic land use monitoring exploiting satellite data that can be integrated in GIS software environment commonly used in governmental services and research institutions dealing with land use.

The objectives of the project are:

  • develop specialized methods for processing satellite data (implementing fusion of multispectral images and Synthetic Aperture Radar (SAR) data) to obtain land use maps for rural areas and detecting changes between the current and earlier status;
  • implement prototypes of software tools for producing the updated land use maps that can be integrated into the processing environment used in organizations related with land use monitoring;
  • demonstrate that developed software can perform on the basis of combined multispectral and SAR data from different satellite missions (e.g. Sentinel-1, Sentinel-2, TerraSAR-X, WorldView-2);
  • test produced software on the basis of available field data from the National Forest Inventory of Latvia and information layers that should be updated, e.g. cadastral parcel map and field blocks from the GIS system of the Rural Support Service of Latvia.

Project activities:

11.01.2017. Project banner prepared and presented to participants of the ESA information day (http://www.izm.gov.lv/images/zinatne/EKA/Projekti_rollup/DynLand_baneris.pdf ).

03.03.2017. Meeting of project teams from IECS and SILAVA. Preparation of the methodology report, characteristics of field data to be used and purchase of the high resolution satellite data discussed.

13.03.2017. Methodology report presented to ESA describing intended use of remote sensing data for reaching project objectives.

25.05.2017. Meeting of project teams from IECS and SILAVA. Preparation of the Software Requirements Specification and first Progress report, characteristics of field data and other supplementary data available for the design of land cover classifiers discussed.

26.05.2017. Software Requirements Specification and the first Progress report presented to ESA.

16.06.2017. High resolution satellite data (WorldView, TerraSAR-X) procured.

20.07.2017. An algorithm for unsupervised clustering of multispectral image pixels developed. Optimization of it for processing large images continues.

08.09.2017. A program for interactive mapping of clusters to defined categories developed.