Manuel Arbelo

Orcid: 0000-0002-6853-4442

According to our database1, Manuel Arbelo authored at least 13 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review.
Sensors, August, 2023

UAV-Based Disease Detection in Palm Groves of Phoenix canariensis Using Machine Learning and Multispectral Imagery.
Remote. Sens., July, 2023

2022
Species Distribution Models at Regional Scale: Cymodocea nodosa Seagrasses.
Remote. Sens., 2022

2020
MODIS Sensor Capability to Burned Area Mapping - Assessment of Performance and Improvements Provided by the Latest Standard Products in Boreal Regions.
Sensors, 2020

2019
Mapping Chestnut Stands Using Bi-Temporal VHR Data.
Remote. Sens., 2019

2018
Evaluation of a Bayesian Algorithm to Detect Burned Areas in the Canary Islands' Dry Woodlands and Forests Ecoregion Using MODIS Data.
Remote. Sens., 2018

Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982-2015 Time Series.
Remote. Sens., 2018

2016
Fusion of WorldView-2 and LiDAR Data to Map Fuel Types in the Canary Islands.
Remote. Sens., 2016

Palm Trees Detection from High Spatial Resolution Satellite Imagery Using a New Contextual Classification Method with Constraints.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

2009
Relationship between Sea Regions with High Thermal Variability and Wildfires from 1981 to 2008.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Recovering Spectral Emissivity with ASTER-thermal Data from Tenerife Island.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Synergy of GIS and Remote Sensing Data in Forest Fire Danger Modeling.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2008

Analysis of Different Methods for Burnt Area Estimation using Remote Sensing and Ground Truth Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008


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