Maike Nowatzki

Maike Nowatzki

University of Oxford

H-index: 2

Europe-United Kingdom

About Maike Nowatzki

Maike Nowatzki, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of remote sensing, deep learning, geomorphology, desert dunes, GIS.

His recent articles reflect a diverse array of research interests and contributions to the field:

60,000 years of hydrologic connectivity on the Australian dryland margins: the case of the Willandra Lakes World Heritage Area

Application of a deep learning framework to explore transfer learning for dune mapping across regions

Long-term hydrologic connectivity on the Australian dryland margins: evidence from the Willandra Lakes World Heritage Area over the last 60 ky

Prototype of a deep learning workflow to map dunes in the Kalahari

Luminescence sensitivity of rhine valley loess: Indicators of source variability?

Luminescence sensitivity of German loess: indicators of source variability

Dunes as palaeo-wind vanes: Investigating palaeowind regimes using semi-automated remote sensing approaches to dunefield mapping and orientation quantification

Intersections between wind regimes, topography and sediment supply: Perspectives from aeolian landforms in Central Asia

Maike Nowatzki Information

University

Position

PhD student

Citations(all)

43

Citations(since 2020)

42

Cited By

16

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Maike Nowatzki Skills & Research Interests

remote sensing

deep learning

geomorphology

desert dunes

GIS

Top articles of Maike Nowatzki

Title

Journal

Author(s)

Publication Date

60,000 years of hydrologic connectivity on the Australian dryland margins: the case of the Willandra Lakes World Heritage Area

Kathryn Fitzsimmons

Markus Fischer

Colin Murray-Wallace

Edward Rhodes

Tobias Lauer

...

2024/3/7

Application of a deep learning framework to explore transfer learning for dune mapping across regions

EGU General Assembly Conference Abstracts

Maike Nowatzki

David Thomas

Richard Bailey

2023/5

Long-term hydrologic connectivity on the Australian dryland margins: evidence from the Willandra Lakes World Heritage Area over the last 60 ky

EGU General Assembly Conference Abstracts

Kathryn Fitzsimmons

Markus Fischer

Maike Nowatzki

Tobias Lauer

Kanchan Mishra

...

2023/5

Prototype of a deep learning workflow to map dunes in the Kalahari

EGU General Assembly Conference Abstracts

Maike Nowatzki

Richard Bailey

David Thomas

2022/5

Luminescence sensitivity of rhine valley loess: Indicators of source variability?

Quaternary

Kathryn E Fitzsimmons

Zoran Perić

Maike Nowatzki

Susanne Lindauer

Mathias Vinnepand

...

2022/3

Luminescence sensitivity of German loess: indicators of source variability

EGU General Assembly Conference Abstracts

Kathryn Fitzsimmons

Peter Fischer

Zoran Peric

Maike Nowatzki

Susanne Lindauer

...

2021/4

Dunes as palaeo-wind vanes: Investigating palaeowind regimes using semi-automated remote sensing approaches to dunefield mapping and orientation quantification

EGU General Assembly Conference Abstracts

Maike Nowatzki

Kathryn Fitzsimmons

Hartwig Harder

Hans-Joachim Rosner

2021/4

Intersections between wind regimes, topography and sediment supply: Perspectives from aeolian landforms in Central Asia

Palaeogeography, palaeoclimatology, palaeoecology

Kathryn E Fitzsimmons

Maike Nowatzki

Aditi K Dave

Hartwig Harder

2020/2/15

See List of Professors in Maike Nowatzki University(University of Oxford)