Assessing the quality of Global Human Settlement Layer products for Kampala, Uganda

R.V. Sliuzas; M. Kuffer; Thomas Kemper

doi:10.1109/JURSE.2017.7924569

Assessing the quality of Global Human Settlement Layer products for Kampala, Uganda

R.V. Sliuzas
, M. Kuffer
, Thomas Kemper

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

7 Downloads (Pure)

Abstract

This paper evaluates the quality of Global Human Settlement Layer (GHSL) data (10 m pixels) derived from a 2010 QuickBird image of the city of Kampala, Uganda. The evaluation is carried out through visual and statistical comparison with a reference data set consisting of building footprints of the same year. Seven sample areas from 35-194 Ha in size were used for the comparison. Results show that although the GHSL layer gives a strong visual impression of the major morphology of the city, there are considerable misclassifications at pixel level.

Original language	English
Title of host publication	2017 Joint Urban Remote Sensing Event, JURSE 2017
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	978-1-5090-5808-2
DOIs	https://doi.org/10.1109/JURSE.2017.7924569
Publication status	Published - 10 May 2017
Event	Joint Urban Remote Sensing Event, JURSE 2017 - Ritz-Carlton, Dubai, United Arab Emirates Duration: 6 Mar 2017 → 8 Mar 2017 http://jurse2017.com/

Conference

Conference	Joint Urban Remote Sensing Event, JURSE 2017
Abbreviated title	JURSE 2017
Country/Territory	United Arab Emirates
City	Dubai
Period	6/03/17 → 8/03/17
Internet address	http://jurse2017.com/

Keywords

2025 OA procedure
Global Human Settlement Layer
Kampala
Quality assessment
Building footprints

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10.1109/JURSE.2017.7924569

ArticleFinal published version, 3.86 MBLicence: Taverne

Cite this

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title = "Assessing the quality of Global Human Settlement Layer products for Kampala, Uganda",

abstract = "This paper evaluates the quality of Global Human Settlement Layer (GHSL) data (10 m pixels) derived from a 2010 QuickBird image of the city of Kampala, Uganda. The evaluation is carried out through visual and statistical comparison with a reference data set consisting of building footprints of the same year. Seven sample areas from 35-194 Ha in size were used for the comparison. Results show that although the GHSL layer gives a strong visual impression of the major morphology of the city, there are considerable misclassifications at pixel level.",

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AU - Sliuzas, R.V.

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AU - Kemper, Thomas

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N2 - This paper evaluates the quality of Global Human Settlement Layer (GHSL) data (10 m pixels) derived from a 2010 QuickBird image of the city of Kampala, Uganda. The evaluation is carried out through visual and statistical comparison with a reference data set consisting of building footprints of the same year. Seven sample areas from 35-194 Ha in size were used for the comparison. Results show that although the GHSL layer gives a strong visual impression of the major morphology of the city, there are considerable misclassifications at pixel level.

AB - This paper evaluates the quality of Global Human Settlement Layer (GHSL) data (10 m pixels) derived from a 2010 QuickBird image of the city of Kampala, Uganda. The evaluation is carried out through visual and statistical comparison with a reference data set consisting of building footprints of the same year. Seven sample areas from 35-194 Ha in size were used for the comparison. Results show that although the GHSL layer gives a strong visual impression of the major morphology of the city, there are considerable misclassifications at pixel level.

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KW - Global Human Settlement Layer

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KW - Quality assessment

KW - Building footprints

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Y2 - 6 March 2017 through 8 March 2017

ER -

Assessing the quality of Global Human Settlement Layer products for Kampala, Uganda

Abstract

Conference

Keywords

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