Daniel McInerney

Orcid: 0000-0002-5464-8270

According to our database1, Daniel McInerney authored at least 12 papers between 2011 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Investigating the Effects of k and Area Size on Variance Estimation of Multiple Pixel Areas Using a k-NN Technique for Forest Parameters.
Remote. Sens., 2021

2020
Sensitivity Analysis of the DART Model for Forest Mensuration with Airborne Laser Scanning.
Remote. Sens., 2020

Detecting nutrient deficiency in spruce forests using multispectral satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2013
Foreward to the Special Issue on Multi-Scale Forestry Applications Supported by Remote Sensing and Spatial Information Systems.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Accuracy Assessment of a Remote Sensing-Based, Pan-European Forest Cover Map Using Multi-Country National Forest Inventory Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment.
Environ. Model. Softw., 2013

2012
Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps.
IEEE Trans. Geosci. Remote. Sens., 2012

Developing a Forest Data Portal to Support Multi-Scale Decision Making.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Increasing Spatial Detail of Burned Scar Maps Using IRS-AWiFS Data for Mediterranean Europe.
Remote. Sens., 2012

Multi-Disciplinary Forest Fire Danger Assessment in Europe: The Potential to Integrate Long-Term Drought Information.
Int. J. Spatial Data Infrastructures Res., 2012

2011
Deriving urban land use with metric-based signatures: Comparing Landsat ETM+ and SPOT 5 imagery.
Proceedings of the Joint Urban Remote Sensing Event, 2011


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