Behind subjectivity : Factors affecting visual image interpretation for acquiring reference data for agricultural land monitoring
| Autor: | Agnieszka Tarko |
|---|---|
| Přispěvatelé: | Wageningen University, A.K. Bregt, S. de Bruin, N.E. Tsendbazar |
| Rok vydání: | 2019 |
| Předmět: |
Subjectivity
Information retrieval Land use Computer science media_common.quotation_subject Interpretation (philosophy) Land cover PE&RC Reference data Consistency (database systems) Laboratory of Geo-information Science and Remote Sensing Agricultural land Life Science Laboratorium voor Geo-informatiekunde en Remote Sensing Quality (business) media_common |
| DOI: | 10.18174/502363 |
| Popis: | Visual interpretation of remotely sensed images is commonly applied to acquire reference data used for development and validation of large-scale land maps. Information resulting from visual image interpretation can be communicated in a form of a map or a reference dataset. There are many factors affecting the quality of visual image interpretation. This thesis aims to investigate factors affecting visual image interpretation for acquiring reference data for agricultural land monitoring. It was found that interpretation consistency is affected by individual aspects of interpreters, by analysed land cover, land use and land change type. Furthermore, consistency of visual interpretation is influenced by the adopted method of enhancing interpretation agreement, such as reviews and feedbacks. Presence of subjectivity in reference dataset cannot be ignored. |
| Databáze: | OpenAIRE |
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