Marijn Van der Velde

Orcid: 0000-0002-9103-7081

According to our database1, Marijn Van der Velde authored at least 13 papers between 2012 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

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Online presence:

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Bibliography

2023
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Crop Identification Using Deep Learning on LUCAS Crop Cover Photos.
Sensors, July, 2023

Assessing crop diversity across scales using high-resolution remote sensing over the European Union: first insights for agro-environmental policies.
CoRR, 2023

2022
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation.
Ecol. Informatics, 2022

Monitoring crop phenology with street-level imagery using computer vision.
Comput. Electron. Agric., 2022

2021
From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations.
CoRR, 2021

Accuracy Assessment of the First Eu-Wide Crop Type Map with Lucas Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
A Crop Group-Specific Pure Pixel Time Series for Europe.
Remote. Sens., 2019

2018
Targeted Grassland Monitoring at Parcel Level Using Sentinels, Street-Level Images and Field Observations.
Remote. Sens., 2018

2017
Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation.
Environ. Model. Softw., 2017

2013
Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project.
Trans. GIS, 2013

Using control data to determine the reliability of volunteered geographic information about land cover.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2012
Geo-Wiki: An online platform for improving global land cover.
Environ. Model. Softw., 2012


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