Theses
Plot-Based Land-Cover and Soil-Moisture Mapping Using X-/L-Band SAR Data. Case Study Pirna South, Saxony, Germany
Art der Abschlussarbeit
Dissertation
Autoren
- Mahmoud, Ali Gaber Muhamad
Betreuer
- Prof. Dr.phil.habil. Manfred Buchroithner
Abstract
Agricultural production is becoming increasingly important as the world demand increases. On the other hand, there are several factors threatening that production such as the climate change. Therefore, monitoring and management of different parameters affecting the production are important. The current study is dedicated to two key parameters, namely agricultural land cover and soil-moisture mapping using X- and L-Band Synthetic Aperture Radar (SAR) data.rnLand-cover mapping plays an essential role in various applications like irrigation management, yield estimation and subsidy control. A model of multi-direction/multi-distance texture analysis on SAR data and its use for agricultural land cover classification was developed. The model is built and implemented in ESRI ArcGIS software and integrated with “R Environment”. Sets of texture measures can be calculated on a plot basis and stored in an attribute table for further classification. The classification module provides various classification approaches such as support vector machine and artificial neural network, in addition to different feature-selection methods. The model has been tested for a typical Mid-European agricultural and horticultural land use pattern south to the town of Pirna (Saxony/Germany), where the high-resolution SAR data, TerraSAR-X and ALOS/PALSAR (HH/HV) imagery, were used for land-cover mapping. The results indicate that an integrated classification using textural information of SAR data has a high potential for land-cover mapping. Moreover, the multi-dimensional SAR data approach improved the overall accuracy.rnSoil moisture (SM) is important for various applications such as crop-water management and hydrological modelling. The above-mentioned TerraSAR-X data were utilised for soil-moisture mapping verified by synchronous field measurements. Different speckle-reduction techniques were applied and the most representative filtered image was determined. Then the soil moisture was calculated for the mapped area using the obtained linear regression equations for each corresponding land-cover type. The results proved the efficiency of SAR data in soil-moisture mapping for bare soils and at the early growing stage of fieldcrops.rn
Zugeordnete Forschungsschwerpunkte
- Geoinformationssysteme für Umweltmonitoring
- Kartographie mit Radaraufnahmen
- Dynamische Kartographie mittels Fernerkundungsdaten
Schlagwörter
soil-moisture mapping, land-cover mapping
Berichtsjahr
2012