Expert-based and data-driven gully and cliff erosion feature detection in New Zealand

Lorena Abad; Daniel Hölbling; Hugh Smith; Andrew Neverman; Harley Betts; Raphael  Spiekermann

doi:10.57757/IUGG23-0228

Expert-based and data-driven gully and cliff erosion feature detection in New Zealand

Lorena Abad
, Daniel Hölbling
, Hugh Smith
, Andrew Neverman
, Harley Betts
, Raphael Spiekermann

Geoinformatik

Publikation: Konferenzbeitrag › Abstract › Peer-reviewed

Originalsprache	Englisch
DOIs	https://doi.org/10.57757/IUGG23-0228
Publikationsstatus	Veröffentlicht - Mai 2023
Veranstaltung	28th IUGG General Assembly - CitzCube Berlin, Berlin, Deutschland Dauer: 11 Juli 2023 → 20 Juli 2023 https://www.iugg2023berlin.org/

Konferenz

Konferenz	28th IUGG General Assembly
Kurztitel	IUGG23
Land/Gebiet	Deutschland
Ort	Berlin
Zeitraum	11/07/23 → 20/07/23
Internetadresse	https://www.iugg2023berlin.org/

Systematik der Wissenschaftszweige 2012

105 Geowissenschaften
207 Umweltingenieurwesen, Angewandte Geowissenschaften

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.57757/IUGG23-0228Lizenz: CC BY

STEC: Cost-effective targeting of erosion control to protect soil and water values
Hölbling, D. W. (Projektleitung) & Abad Crespo, L. C. (Projektmitarbeiter/in)
1/10/18 → 30/09/23
Projekt: Forschung

Expert-based and data-driven gully and cliff erosion feature detection in New Zealand
Abad Crespo, L. C. (Redner/in)
15 Juli 2023
Aktivität: Gastvortrag oder Vortrag › Poster-Präsentation › science to science / art to art

Datei

Dieses zitieren

@conference{b62ec84577bc49968a97eebb3acc974e,

title = "Expert-based and data-driven gully and cliff erosion feature detection in New Zealand",

keywords = "OBIA, deep learning, LiDAR, Aerial photography",

author = "Lorena Abad and Daniel H{\"o}lbling and Hugh Smith and Andrew Neverman and Harley Betts and Raphael Spiekermann",

year = "2023",

month = may,

doi = "10.57757/IUGG23-0228",

language = "English",

note = "28th IUGG General Assembly, IUGG23 ; Conference date: 11-07-2023 Through 20-07-2023",

url = "https://www.iugg2023berlin.org/",

}

TY - CONF

T1 - Expert-based and data-driven gully and cliff erosion feature detection in New Zealand

AU - Abad, Lorena

AU - Hölbling, Daniel

AU - Smith, Hugh

AU - Neverman, Andrew

AU - Betts, Harley

AU - Spiekermann, Raphael

PY - 2023/5

Y1 - 2023/5

KW - OBIA

KW - deep learning

KW - LiDAR

KW - Aerial photography

U2 - 10.57757/IUGG23-0228

DO - 10.57757/IUGG23-0228

M3 - Abstract

T2 - 28th IUGG General Assembly

Y2 - 11 July 2023 through 20 July 2023

ER -

Expert-based and data-driven gully and cliff erosion feature detection in New Zealand

Konferenz

Systematik der Wissenschaftszweige 2012

UN SDGs

Zugriff auf Dokument

Projekte

STEC: Cost-effective targeting of erosion control to protect soil and water values

Aktivitäten

Expert-based and data-driven gully and cliff erosion feature detection in New Zealand

Dieses zitieren