Understanding the Influence of Different Sample Sizes and Sample Techniques on Accuracy Assessment of Land Cover Mapping : Case Study of Salatiga city, Indonesia
(2024) 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet In Proceedings of SPIE - The International Society for Optical Engineering 12977.- Abstract
Remote sensing data has been proven capable and efficient as a powerful resource for large-scale land cover mapping. However, a map is considered acceptable with the required accuracy value. The problem related to sampling is how the sample amount and sample technique affect the accuracy of the land cover mapping. Furthermore, the accuracy assessment for mapping usually only utilizes accuracy measurement standards, which are commonly used. This research was conducted to measure the effect of the different sampling sizes and sampling methods on the accuracy value of large-scale land cover mapping using area based assessment approach. A visual interpretation was used as a reference while multispectral classification was carried out... (More)
Remote sensing data has been proven capable and efficient as a powerful resource for large-scale land cover mapping. However, a map is considered acceptable with the required accuracy value. The problem related to sampling is how the sample amount and sample technique affect the accuracy of the land cover mapping. Furthermore, the accuracy assessment for mapping usually only utilizes accuracy measurement standards, which are commonly used. This research was conducted to measure the effect of the different sampling sizes and sampling methods on the accuracy value of large-scale land cover mapping using area based assessment approach. A visual interpretation was used as a reference while multispectral classification was carried out independently as an object to be tested for accuracy assessment. The number of classes interpreted was 25 and 9. We demonstrated the sampling methods applied were random sampling, stratified random sampling, and systematic grid sampling. A confusion matrix method was used to gain the overall accuracy. The result of this study showed that the number of 200 samples for land cover with 25 classes and 36 sample for nine classes could start the regularity against the actual accuracy. While the sample number below 200 and 36 for both land cover classes showed irregular fluctuations in the accuracy value. Using stratified random sampling was satisfactory for modeling the accuracy compared to random and systematic grid sampling. Thus, those results could be used to indicate accuracy value against different scenarios and gain a recommendation for assessing the accuracy ofland cover on a large scale.
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- author
- Mahendra, William Krista LU and Danoedoro, Projo
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Accuracy Assessment, Area based approach, Land Cover, Multispectral Classification, Visual Interpretation
- host publication
- Eighth Geoinformation Science Symposium 2023 : Geoinformation Science for Sustainable Planet - Geoinformation Science for Sustainable Planet
- series title
- Proceedings of SPIE - The International Society for Optical Engineering
- editor
- Blanco, Ariel ; Rimba, Andi Besse ; Roelfsema, Chris and Arjasakusuma, Sanjiwana
- volume
- 12977
- article number
- 129770E
- publisher
- SPIE
- conference name
- 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet
- conference location
- Yogyakarta, Indonesia
- conference dates
- 2023-08-28 - 2023-08-30
- external identifiers
-
- scopus:85184521724
- ISSN
- 1996-756X
- 0277-786X
- ISBN
- 9781510672697
- DOI
- 10.1117/12.3009445
- language
- English
- LU publication?
- yes
- id
- 05ff00c2-1d70-4bef-8f72-ab3ef92ef153
- date added to LUP
- 2024-02-29 12:31:21
- date last changed
- 2024-04-14 08:21:58
@inproceedings{05ff00c2-1d70-4bef-8f72-ab3ef92ef153,
abstract = {{<p>Remote sensing data has been proven capable and efficient as a powerful resource for large-scale land cover mapping. However, a map is considered acceptable with the required accuracy value. The problem related to sampling is how the sample amount and sample technique affect the accuracy of the land cover mapping. Furthermore, the accuracy assessment for mapping usually only utilizes accuracy measurement standards, which are commonly used. This research was conducted to measure the effect of the different sampling sizes and sampling methods on the accuracy value of large-scale land cover mapping using area based assessment approach. A visual interpretation was used as a reference while multispectral classification was carried out independently as an object to be tested for accuracy assessment. The number of classes interpreted was 25 and 9. We demonstrated the sampling methods applied were random sampling, stratified random sampling, and systematic grid sampling. A confusion matrix method was used to gain the overall accuracy. The result of this study showed that the number of 200 samples for land cover with 25 classes and 36 sample for nine classes could start the regularity against the actual accuracy. While the sample number below 200 and 36 for both land cover classes showed irregular fluctuations in the accuracy value. Using stratified random sampling was satisfactory for modeling the accuracy compared to random and systematic grid sampling. Thus, those results could be used to indicate accuracy value against different scenarios and gain a recommendation for assessing the accuracy ofland cover on a large scale.</p>}},
author = {{Mahendra, William Krista and Danoedoro, Projo}},
booktitle = {{Eighth Geoinformation Science Symposium 2023 : Geoinformation Science for Sustainable Planet}},
editor = {{Blanco, Ariel and Rimba, Andi Besse and Roelfsema, Chris and Arjasakusuma, Sanjiwana}},
isbn = {{9781510672697}},
issn = {{1996-756X}},
keywords = {{Accuracy Assessment; Area based approach; Land Cover; Multispectral Classification; Visual Interpretation}},
language = {{eng}},
publisher = {{SPIE}},
series = {{Proceedings of SPIE - The International Society for Optical Engineering}},
title = {{Understanding the Influence of Different Sample Sizes and Sample Techniques on Accuracy Assessment of Land Cover Mapping : Case Study of Salatiga city, Indonesia}},
url = {{http://dx.doi.org/10.1117/12.3009445}},
doi = {{10.1117/12.3009445}},
volume = {{12977}},
year = {{2024}},
}