Presentation on theme: "Use of Earth Observation Data in the Kiskunság National Park Authors: Csaba Biró and Róbert Aleksza Kiskunság National Park."— Presentation transcript:
Use of Earth Observation Data in the Kiskunság National Park Authors: Csaba Biró and Róbert Aleksza Kiskunság National Park
Intro The goal of our presentation is to show You, what kind of space imagery was used in the past, are we using in the present, and will be used in the future at the Kiskunság National Park.
Past and present 1. Altough with a little time-lag, but the Corona spy-satelite images would be available for Us two years ago. The first real acquisition was a set of SPOT4 images from They were used generic for mapping sodic lakes and marshes/swamps, wich is a permanent project since then because of the continuous groundwater level decrease.
Past and present 2. Between 1999 and 2000s spring was an extremly wet period in Hungary. In 1999 FÖMI had classified for Us a LANDSAT TM image for surface water detection. The result was applicable with some errors, but it was an important milestone. (next slide) From the year 2000 we also bought a TM image. This was used to show, where are the places they have any correspodence with water.
FÖMI produced result shapes
Past and present 3. From the year 2000 we could purchase the areal photos and orthophotos about the protected areas produced by FÖMI. These products have a great advantage: the high spatial resolution. They can be used as a photomap These data have also disadvantages against the satelite images. They can be classified effectively just manually with good field knowledge.
Past and present 4. At 2005 spring we bought about the Upper Kiskunság Sodic Lakes protected area a fresh archive from the QuickBird image library (05.01.), and ordered a new one to complement the archiv one (06.24.). These are pan-sharpened 4 band images with high spatial resolution (62 cm). The whole area is 137 km 2. With the NIR band we are able to make difference between various associations, locate landuse errors, count invasive trees or cattles on meadows. We use them to make the management plan of the area, wich is a law specified function (in every 10 years).
The processing The upper part of the image is from , the lower part from The geocorrections base map was the M=1: topographic map. We used ERDAS Imagine 8.5 to solve the problem. Geocorrection was based on a second order polynomial geometric model.
Our experiences The cliping shape have had to be buffered in east-west direction cca m, north-south direction cca m to become the whole extent. After the correction it should be stored in an ArcSDE raster dataset for the faster access. Its a large amount of data (cca. 5,2 GB).
Next applications In the near future we will obtain cca km2 of QuickBird pan-sharpened images about our protected areas and Natura 2000 sites.
Next applications Habitat mapping. Support creating management plans. Classify settled-in invasive arboreal and non- arboreal species and with them infected associations. With detecting and mapping their spread we can work out a strategy for their extermination. Help near-natural farming in the NP. Check real landuse with submeter accuracy GPS + GIS technology.
Back to the future These data will be also publishable on the internet, wich will be a GI-revolution. For the technology of the publication there are more concepts. Now the ideal solution seems to be a fast internet mapserver, but we think so that the GoogleEarth-like solutions in the near future would be determining. A primitive case study how this technology can help to solve a daily problem in our National Park is shown on the next two slide.
Take the GPS TrackMaker® free program and GoogleEarth. Make Your own layers available (e.g. protected area borders). Share it with the community. The offroad motor or quad bikers can now see where they should not go trough. They can also load up their own paths from their GPS. *.gpx file format is used, wich is the gps interchange format (xml). The trackmaker software can convert between a lots of formats. It is important to read the License grant :
So as You can see, that sharing of geoinformation on the web, today is for anyone available. What You need, is good quality, up to date background data to help place Yourself in the real world.
Back to the future We could use MODIS images for regional or countrywide analysis. Their advantages are that two times per 1 day they scan our planet. They have visible, NIR and hyperspectral capabality, with 250 m, 500 m and 1000 m spatial resolution. In this year we tried to get some money for a research project in wich two hungarian university and our national park should have had to cooperate. The subject was the hyperspectral analysis of the Duna-Tisza köze.