Multitemporal quality assessment of grassland and cropland objects of a topographic dataset
MetadataShow full item record
As a consequence of the wide-spread application of digital geo-data in geographic information systems (GIS), quality control has become increasingly important to enhance the useful ness of the data. For economic reasons a high degree of automation is required for the quality control process. This goal can be achieved by automatic image analysis techniques. An example of how this can be achieved in the context of quality assessment of cropland and grassland GIS objects is given in this paper. The quality assessment of these objects of a topographic dataset is carried out based on multi-temporal information. The multi-temporal approach combines the channels of all available images as a multilayer image and applies a pixel-based SVM-classification. I n this way multispectral as well as multi-temporal information is processed in parallel. The features used for the classification consist of spectral, textural (Haralick features) and structural (features derived from a semi-variogram) features. After the SVM-classification, the pixel-based result is mapped to the GIS-objects. Finally, a simple ruled- based approach is used in order to verify the objects of a GIS database. The approach was tested using a multi-temporal data set consisting of one 5-channel RapidEye image (GSD 5m) and two 3-channel Disaster Monitoring Constellation (DMC) images (GSD 3 2m). All images were taken within one year. The results show that by using our approach, quality control of GIS- cropland and grassland objects is possible and the human operator saves time using our approach compared to a completely manual quality assessment.
Showing items related by title, author, creator and subject.
Macrophytes’ abundance changes in eutrophicated tropical reservoirs exemplified by Salto Grande (Brazil): Trends and temporal analysis exploiting Landsat remotely sensed dataColadello, L.F.; de Lourdes Bueno Trindade Galo, M.; Shimabukuro, M.H.; Ivanova, Ivana ; Awange, Joseph (2020)© 2020 Elsevier Ltd River damming for electric power production generally triggers a set of anthropic activities that strongly impact on aquatic ecosystem, especially in small reservoirs located in urbanized and ...
Satellite Spectral Data on the Quantification of Soil Particle Size from Different Geographic RegionsDemattê, J.; Guimarães, C.; Fongaro, C.; Vidoy, E.; Sayão, V.; Dotto, Andre C.; dos Santos, N. (2018)The study of soils, including their physical and chemical properties, is essential for agricultural management. Soil quality must be maintained to ensure sustainable production of food and conservation of natural resources. ...
Lorsakul, A.; Li, Q.; Trott, Cathryn; Hoog, C.; Petibon, Y.; Ouyang, J.; Laine, A.; El Fakhri, G. (2014)Purpose: Respiratory-gated positron emission tomography (PET)/computed tomography protocols reduce lesion smearing and improve lesion detection through a synchronized acquisition of emission data. However, an objective ...