On the vertical accuracy of the ALOS world 3D-30m digital elevation model

In this contribution, we assess the vertical accuracy of the Advanced Land Observing Satellite (ALOS) World 3D 30 m (AW3D30) digital elevation model (DEM) using the runway method (RWYM). The RWYM utilizes the longitudinal profiles of runways which are reliable and ubiquitous reference data. A reference dataset used in this project consists of 36 runways located at various points throughout the world. We found that AW3D30 has a remarkably low root mean square error (RMSE) of 1.78 m (one sigma). However, while analysing the results, it has become apparent that it also contains a widespread elevation anomaly. We conclude that this anomaly is the result of uncompensated sensor noise and the data processing algorithm. Also, we note that the traditional accuracy assessment of a DEM does not allow for identification of these type of anomalies in a DEM. © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Yazar Caglar B.
Becek K.
Mekik C.
Ozendi M.
Yayın Türü Article
Tek Biçim Adres https://hdl.handle.net/20.500.12628/6844
Tek Biçim Adres 10.1080/2150704X.2018.1453174
Koleksiyonlar Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed | SOBİAD
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu
Dergi Adı Remote Sensing Letters
Dergi Cilt Bilgisi 9
Dergi Sayısı 6
Sayfalar 607 - 615
Yayın Yılı 2018
Eser Adı
[dc.title]
On the vertical accuracy of the ALOS world 3D-30m digital elevation model
Yazar
[dc.contributor.author]
Caglar B.
Yazar
[dc.contributor.author]
Becek K.
Yazar
[dc.contributor.author]
Mekik C.
Yazar
[dc.contributor.author]
Ozendi M.
Yayın Yılı
[dc.date.issued]
2018
Yayıncı
[dc.publisher]
Taylor and Francis Ltd.
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
In this contribution, we assess the vertical accuracy of the Advanced Land Observing Satellite (ALOS) World 3D 30 m (AW3D30) digital elevation model (DEM) using the runway method (RWYM). The RWYM utilizes the longitudinal profiles of runways which are reliable and ubiquitous reference data. A reference dataset used in this project consists of 36 runways located at various points throughout the world. We found that AW3D30 has a remarkably low root mean square error (RMSE) of 1.78 m (one sigma). However, while analysing the results, it has become apparent that it also contains a widespread elevation anomaly. We conclude that this anomaly is the result of uncompensated sensor noise and the data processing algorithm. Also, we note that the traditional accuracy assessment of a DEM does not allow for identification of these type of anomalies in a DEM. © 2018 Informa UK Limited, trading as Taylor & Francis Group.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
eng
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
ISSN
[dc.identifier.issn]
2150704X
İlk Sayfa Sayısı
[dc.identifier.startpage]
607
Son Sayfa Sayısı
[dc.identifier.endpage]
615
Dergi Adı
[dc.relation.journal]
Remote Sensing Letters
Dergi Sayısı
[dc.identifier.issue]
6
Dergi Cilt Bilgisi
[dc.identifier.volume]
9
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1080/2150704X.2018.1453174
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/6844
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
10
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
08 Nisan 2024 00:25
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Tıklayınız
elevation anomaly accuracy runways reference result uncompensated conclude widespread contains apparent become results analysing However sigma) sensor anomalies Francis Taylor trading Limited Informa processing identification assessment traditional algorithm AW3D30 (RMSE) (AW3D30) (RWYM) method runway digital
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