Behind subjectivity: Factors affecting visual image interpretation for acquiring reference data for agricultural land monitoring

Agnieszka Tarko

doi:10.18174/502363

Behind subjectivity: Factors affecting visual image interpretation for acquiring reference data for agricultural land monitoring

Agnieszka Tarko

Research output: Thesis › internal PhD, WU

Abstract

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.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Wageningen University
Supervisors/Advisors	Bregt, Arnold, Promotor de Bruin, Sytze, Co-promotor Tsendbazar, Nandika, Co-promotor
Award date	17 Dec 2019
Place of Publication	Wageningen
Publisher	Wageningen University
Print ISBNs	9789463951555
DOIs	https://doi.org/10.18174/502363
Publication status	Published - 17 Dec 2019

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Image spectral\radiometry assessment for LPIS applications.
Tarko, A. (PI), Bregt, A. (CoI), Tsendbazar, N. (CoI), de Bruin, S. (CoI), Tarko, A. (PhD candidate), Bregt, A. (Promotor), Tsendbazar, N. (Co-promotor) & de Bruin, S. (Co-promotor)
1/08/12 → 17/12/19
Project: PhD

Cite this

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title = "Behind subjectivity: Factors affecting visual image interpretation for acquiring reference data for agricultural land monitoring",

abstract = "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.",

author = "Agnieszka Tarko",

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N2 - 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.

AB - 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.

UR - https://edepot.wur.nl/502363

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DO - 10.18174/502363

M3 - internal PhD, WU

SN - 9789463951555

PB - Wageningen University

CY - Wageningen

ER -

Behind subjectivity: Factors affecting visual image interpretation for acquiring reference data for agricultural land monitoring

Abstract

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Image spectral\radiometry assessment for LPIS applications.

Cite this