Miguel D. Mahecha

Miguel D. Mahecha

Universität Leipzig

H-index: 51

Europe-Germany

About Miguel D. Mahecha

Miguel D. Mahecha, With an exceptional h-index of 51 and a recent h-index of 41 (since 2020), a distinguished researcher at Universität Leipzig, specializes in the field of Earth System Data Sciences, Ecosystem functioning, Extreme events, Data Cubes, Society-Environment-Nexus.

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

Research into land atmosphere interactions supports the Sustainable Development agenda

Unpredicted ecosystem response to compound human impacts in a European river

Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance

Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America

Recurrent Neural Networks for Modelling Gross Primary Production

On-Demand Earth System Data Cubes

Reclassifying historical disasters: From single to multi-hazards

Soil heat extremes can outpace air temperature extremes

Miguel D. Mahecha Information

University

Position

Remote Sensing Centre for Earth System Research

Citations(all)

15968

Citations(since 2020)

10934

Cited By

8904

hIndex(all)

51

hIndex(since 2020)

41

i10Index(all)

102

i10Index(since 2020)

92

Email

University Profile Page

Universität Leipzig

Google Scholar

View Google Scholar Profile

Miguel D. Mahecha Skills & Research Interests

Earth System Data Sciences

Ecosystem functioning

Extreme events

Data Cubes

Society-Environment-Nexus

Top articles of Miguel D. Mahecha

Title

Journal

Author(s)

Publication Date

Research into land atmosphere interactions supports the Sustainable Development agenda

Global Sustainability

Garry Hayman

Benjamin Poulter

Sachin D Ghude

Eleanor Blyth

Vinayak Sinha

...

2024/2/14

Unpredicted ecosystem response to compound human impacts in a European river

Jan Köhler

Elisabeth Varga

Stephanie Spahr

Jörn Gessner

Kerstin Stelzer

...

2024/1/1

Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance

arXiv preprint arXiv:2404.15812

David Montero

Miguel D Mahecha

César Aybar

Clemens Mosig

Sebastian Wieneke

2024/4/24

Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America

Journal of Geophysical Research: Biogeosciences

Lina M Estupinan‐Suarez

Miguel D Mahecha

Alexander Brenning

Guido Kraemer

Germán Poveda

...

2024/1

Recurrent Neural Networks for Modelling Gross Primary Production

arXiv preprint arXiv:2404.12745

David Montero

Miguel D Mahecha

Francesco Martinuzzi

César Aybar

Anne Klosterhalfen

...

2024/4/19

On-Demand Earth System Data Cubes

arXiv preprint arXiv:2404.13105

David Montero

César Aybar

Chaonan Ji

Guido Kraemer

Maximilian Söchting

...

2024/4/19

Reclassifying historical disasters: From single to multi-hazards

Science of the Total Environment

R. Lee

C. J. White

M. S. G. Adnan

J. Douglas

M. D. Mahecha

...

2023/12/7

Soil heat extremes can outpace air temperature extremes

Nature Climate Change

Almudena García-García

Francisco José Cuesta-Valero

Diego G Miralles

Miguel D Mahecha

Johannes Quaas

...

2023/11

Leaf-level coordination principles propagate to the ecosystem scale

Nature communications

Ulisse Gomarasca

Mirco Migliavacca

Jens Kattge

Jacob A Nelson

Ülo Niinemets

...

2023/7/4

Influence of flooding underneath the Amazon rainforest on Sentinel-1 backscatter

Authorea Preprints

Felix Cremer

Nora Linscheid

Miguel D Mahecha

Mikhail Urbazaev

John Truckenbrodt

...

2023/10/31

A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

Scientific Data

David Montero

César Aybar

Miguel D. Mahecha

Francesco Martinuzzi

Maximilian Söchting

...

2023

Imputing missing data in plant traits: A guide to improve gap-filling

Global Ecology and Biogeography

Julia S Joswig

Jens Kattge

Guido Kraemer

Miguel D Mahecha

Nadja Rüger

...

2023/8

Learning Extreme Vegetation Response to Climate Forcing: A Comparison of Recurrent Neural Network Architectures

EGUsphere

Francesco Martinuzzi

Miguel D Mahecha

Gustau Camps-Valls

David Montero

Tristan Williams

...

2023/10/17

Global variations in critical drought thresholds that impact vegetation

National Science Review

Xiangyi Li

Shilong Piao

Chris Huntingford

Josep Peñuelas

Hui Yang

...

2023/5

Lexcube: Interactive Visualization of Large Earth System Data Cubes

IEEE Computer Graphics and Applications

Maximilian Söchting

Miguel D Mahecha

David Montero

Gerik Scheuermann

2023/10/9

A joint framework for studying compound ecoclimatic events

Ana Bastos

Sebastian Sippel

Dorothea Frank

Miguel D Mahecha

Sönke Zaehle

...

2023/5

Biodiversity and climate extremes: known interactions and research gaps

Miguel D Mahecha

Ana Bastos

Friedrich Bohn

Nico Eisenhauer

Hannes Feilhauer

...

2023/9

Text-mining uncovers the unique dynamics of socio-economic impacts during multi-year drought

Natural Hazards and Earth System Sciences Discussions

Jan Sodoge

Christian Kuhlicke

Miguel D Mahecha

Mariana Madruga de Brito

2023/12/21

Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

Benjamin Dechant

Jens Kattge

Ryan Pavlick

Fabian Schneider

Francesco Sabatini

...

2023/4/14

Data Cubes for Earth System Research: Challenges Ahead

David Montero Loaiza

Guido Kraemer

Anca Anghelea

Cesar Luis Aybar Camacho

Gunnar Brandt

...

2023/7/11

See List of Professors in Miguel D. Mahecha University(Universität Leipzig)

Co-Authors

H-index: 89
Gustau Camps-Valls

Gustau Camps-Valls

Universidad de Valencia

H-index: 65
Michael Bahn

Michael Bahn

Universität Innsbruck

H-index: 62
Leonardo Montagnani

Leonardo Montagnani

Libera Università di Bolzano

H-index: 51
Jakob Zscheischler

Jakob Zscheischler

Universität Bern

H-index: 46
Anja Rammig

Anja Rammig

Technische Universität München

H-index: 16
Paul Bodesheim

Paul Bodesheim

Friedrich-Schiller-Universität Jena

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