| Autor: |
Andrzej Ciolkosz, Wanda Kowalik, Zbigniew Bochenek, Katarzyna Dabrowska-Zielinska, Maria Budzynska |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
Acta Astronautica. 67:721-730 |
| ISSN: |
0094-5765 |
| DOI: |
10.1016/j.actaastro.2010.05.004 |
| Popis: |
The Remote Sensing Centre in the Institute of Geodesy and Cartography has undertaken the investigation of applying ENVISAT.ASAR, ALOS.PALSAR, and TerraSAR-X data for modelling of soil moisture under various crops. Radar data are independent of weather conditions and that is why they are very useful in monitoring the dynamic of various soil–vegetation parameters. The aim of the study was to examine the usefulness of radar data for describing the soil–vegetation parameters of agri-environment ecosystem in the Wielkopolska region of Poland. The research on agriculture area has been carried out at ground level by taking measurements of soil moisture, Leaf Area Index, height of the vegetation, and wet and dry biomass. The TerraSAR-X and ALOS.PALSAR images have been applied for classification of agriculture area. The images taken in X band were used for discriminating the structure of vegetation, while the images taken in L-band turned out to be very effective at mapping structure of forests and distinguishing them from non-forest areas. Therefore synergy of images acquired in bands X and L gave good results in classification of forested areas and crops. The influence of soil moisture on backscattering coefficient calculated from ENVISAT.ASAR under various polarisations and incidence angles for different crops distinguished from classification of ENVISAT.ASAR IS6 and IS4 has been examined to find correlations between satellite derived data and soil–vegetation parameters. The best correlation between backscatter and LAI has been obtained by applying ASAR IS6 HH or ASAR IS4 HH images, while the best correlation between backscatter and soil moisture has been obtained applying ASAR IS6 VV or ASAR IS4 VV images. The influence of the crop descriptor such as LAI on backscatter coefficient calculated from ENVISAT.ASAR IS2 HH under various soil moisture conditions as well as the influence of the crop descriptor such as soil moisture on backscatter coefficient calculated from ENVISAT.ASAR IS2 HV under various LAI conditions was examined for wheat using the “water-cloud model”. The relationships between modelled values of soil moisture and LAI and measured values have been derived and discussed. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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