An image processing technique was applied to detect roddon soil features from UK-DMC2 base data. Roddon soil features represent former watercourses in English Fenland, now raised banks with altered soil composition. They can be clearly seen on remotely sensed imagery as bright features in contrast to the darker surrounding peat land. Based on difference in brightness of roddons and surrounding peat soil the Soil Brightness Index (SBI) was applied to detect the roddons. To identify the edges of these features where there is a large spectral contrast a non-directional filter was applied together with an image enhancing technique to better differentiate the roddons form other non-soil features. Understanding the location of roddons will allow adaptive farming practices that account for differences in soil properties, and help optimizing yields.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:259329 |
| Date | January 2016 |
| Creators | Trenčiansky, Jan |
| Contributors | Barták, Vojtěch |
| Publisher | Česká zemědělská univerzita v Praze |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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