Martin Wegmann

Orcid: 0000-0003-0335-9601

According to our database1, Martin Wegmann authored at least 13 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
A Spectral Mixture Analysis and Landscape Metrics Based Framework for Monitoring Spatiotemporal Forest Cover Changes: A Case Study in Mato Grosso, Brazil.
Remote. Sens., 2022

Detecting Moving Trucks on Roads Using Sentinel-2 Data.
Remote. Sens., 2022

2021
Quantifying the Response of German Forests to Drought Events via Satellite Imagery.
Remote. Sens., 2021

2020
Over 150 Years of Change: Object-Oriented Analysis of Historical Land Cover in the Main River Catchment, Bavaria/Germany.
Remote. Sens., 2020

2018
Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches.
Remote. Sens., 2018

2017
Open data and open source for remote sensing training in ecology.
Ecol. Informatics, 2017

2015
Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling.
Remote. Sens., 2015

Advancing terrestrial conservation through remote sensing.
Ecol. Informatics, 2015

2013
Calculating landscape diversity with information-theory based indices: A GRASS GIS solution.
Ecol. Informatics, 2013

2012
Modelling Forest α-Diversity and Floristic Composition - On the Added Value of LiDAR plus Hyperspectral Remote Sensing.
Remote. Sens., 2012

Schistosomiasis risk assessment from space using high resolution Rapid Eye data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Spatio-temporal cross-city comparison using multi-sensoral remote sensing for Mexican cities.
Proceedings of the Joint Urban Remote Sensing Event, 2011

2009
Urbanization in India - Spatiotemporal analysis using remote sensing data.
Comput. Environ. Urban Syst., 2009


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