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|TanDEM-X Science Service System|
|Title||Analysis of forest structure based on high resolution TSX-data|
|Investigator||Ziolkowski, Dariusz - Institut of Geodesy and Cartgraphy, Remote Sensing Department|
The main aim ofthe project is to examine the potential of high resolution TerraSAR-X data forthe assessment of the forest structure of different types and age. Three different processing techniques will be used in these studies: backscattering coefficient, interferometric coherence and amplitude dispersion. The texture analysis will also be used, both on the original and on the data processed using interferometric methods. The studies will be carried out in the forests around Warsaw as well as in the urban forest complexes and wooded parks in the city. Location oftest sites close to the urban area is very important. It enables very detailedand precision calibration of radar images which is crucial for amplitude dispersion technique.
The research willbe performed using the series of 12 TSX images registered in Stripmap mode (3 m resolution) from the same orbit in the 11-day intervals These data cover the whole study area. The1-meter resolution Spotlight images from different parts of the study area willalso be used. The outcomes of different radar data processing techniques will be cross-correlated with in situ data provided by the Kampinoski National Park and the State Forests National Forest Holding. Additionally the up-to-date orthophotomaps available at 10 cmspatial resolution will be used. Comparison of one and three meters spatial resolution TSX images with orthophotomap gives the possibility of sub-pixel analysis of radar data.
The detailed sub-pixel analysis will be performed on the selected test areas in forests of different types and age. The main aim of this study is to define if the spatial variability of the values of backscattering coefficient, interferometric coherence and amplitude dispersion within the forest areas is the result of differences in forest structure (i.e. number of trees, crown diameter, percentage of canopy cover) or is caused mainly by speckle noise, temporal decorrelation or other factors. The radar parameters will be correlated with each other and with different parameters of forest structure derived from archived field studies and 10 cm resolution orthophotomaps. For this purpose thesemi-automatic tool based on object oriented classification methods will becreated to get forest parameters from orthophotomap within 1 and 3 meters grid cells corresponding to TSX pixels.
The research will help to better understand the potential of high resolution TSX images forstudies of forest structure, including the possibility of determining the individual trees. This knowledge can also increase the capacity of TSX data andother X-band sensors for biomass studies. This can be done by linking TSX derived forest structure parameters with aboveground biomass by allometric equations. Previous studies based on TSX data were mainly focused on getting tree heights from Digital Elevation Models derived from radar data using interferometric methods. This forest parameter is insufficient for precise estimation of aboveground biomass without information about i.e. tree density.The proposed research can help to fill thisgap.
The second aspect of this study is related to the spatial distribution of speckle noise within the radar images over the forested areas. A better understanding of this phenomenon can contribute to the creation of new algorithms, which can remove the speckle noise more accurately.
The proposed research will be funded internally by the Institute of Geodesy and Cartography in Warsaw. It is planned to apply for additional funding to the National Center for Science. Acceptance by theDLR of this proposal will significantly increase the chances of obtaining additional funds in Polish institutions.
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