Álvaro Moreno-Martínez

Orcid: 0000-0003-2990-7768

Affiliations:
  • University of Montana, Missoula, Numerical Terradynamic Simulation Group, MT, USA
  • Universitat de València, Department of Earth Physics and Thermodynamics, Faculty of Physics, Burjassot, Spain


According to our database1, Álvaro Moreno-Martínez authored at least 26 papers between 2014 and 2024.

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

2024
Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series.
Int. J. Digit. Earth, December, 2024

2023
Inference over radiative transfer models using variational and expectation maximization methods.
Mach. Learn., March, 2023

Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes.
Dataset, February, 2023

2021
Learning main drivers of crop progress and failure in Europe with interpretable machine learning.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Physics-Aware Machine Learning for Geosciences and Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources.
Inf. Fusion, 2020

Living in the Physics and Machine Learning Interplay for Earth Observation.
CoRR, 2020

Interpretability of Recurrent Neural Networks in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Discovering Differential Equations from Earth Observation Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Rangeland Productivity Partitioned to Sub-Pixel Plant Functional Types.
Remote. Sens., 2019

Growing stock volume from multi-temporal landsat imagery through google earth engine.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Regional Crop Gross Primary Productivity and Yield Estimation Using Fused Landsat-MODIS Data.
Remote. Sens., 2018

Global Estimation of Biophysical Variables from Google Earth Engine Platform.
Remote. Sens., 2018

Retrieval of daily gross primary production over Europe and Africa from an ensemble of SEVIRI/MSG products.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Interpolation and Gap Filling of Landsat Reflectance Time Series.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States.
Remote. Sens., 2017

Annual Gross Primary Production from Vegetation Indices: A Theoretically Sound Approach.
Remote. Sens., 2017

Quantifying water stress effect on daily light use efficiency in Mediterranean ecosystems using satellite data.
Int. J. Digit. Earth, 2017

2016
Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI.
Remote. Sens., 2016

2015
Mapping Leaf Area Index With a Smartphone and Gaussian Processes.
IEEE Geosci. Remote. Sens. Lett., 2015

Intercomparison of instruments for measuring leaf area index over rice.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Development of an earth observation processing chain for crop bio-physical parameters at local scale.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Identification of Ecosystem Functional Types from Coarse Resolution Imagery Using a Self-Organizing Map Approach: A Case Study for Spain.
Remote. Sens., 2014

Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local Regression Filter.
Remote. Sens., 2014


  Loading...