Stereology for multitemporal images with an application to flooding

A. Stein; P.E. Budde; Mamushet Zewuge Yifru

doi:10.1007/978-3-540-88244-2_10

Stereology for multitemporal images with an application to flooding

A. Stein
, P.E. Budde
, Mamushet Zewuge Yifru

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

2 Citations (Scopus)

46 Downloads (Pure)

Abstract

This paper presents stereology for flooded areas observed on a multitemporal remote sensing image. Stereology is a mathematical method to quantify objects at one dimension from simulated objects at a lower dimension. It was initially developed for geological and soil objects. Here it is applied to objects on multitemporal remote sensing images, i.e. for image mining. Image mining considers the chain from object identification from remote sensing images through modeling, tracking a series of images and prediction, towards communication to stakeholders. The paper introduces the estimation of the area size of the same object observed at various moments in time. It is illustrated with a case study on flooding of the Tongle Sap lake in from Cambodia.

Original language	English
Title of host publication	Research Trends in Geographic Information Science
Editors	Gerhard Navratil
Place of Publication	Berlin, Germany
Publisher	Springer
Pages	135-150
ISBN (Electronic)	978-3-540-88244-2
ISBN (Print)	978-3-540-88243-5, 978-3-642-09997-7
DOIs	https://doi.org/10.1007/978-3-540-88244-2_10
Publication status	Published - 2009

Publication series

Name	Lecture Notes in Geoinformation and Cartography
Publisher	Springer
ISSN (Print)	1863-2246
ISSN (Electronic)	1863-2351

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

ADLIB-ART-348
EOS
2023 OA procedure

Access to Document

10.1007/978-3-540-88244-2_10

ArticleFinal published version, 831 KBLicence: Taverne

Cite this

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Stereology for multitemporal images with an application to flooding. / Stein, A.; Budde, P.E.; Yifru, Mamushet Zewuge.
Research Trends in Geographic Information Science. ed. / Gerhard Navratil. Berlin, Germany: Springer, 2009. p. 135-150 (Lecture Notes in Geoinformation and Cartography).

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

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Stereology for multitemporal images with an application to flooding

Abstract

Publication series

UN SDGs

Keywords

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