Domingo Alcaraz-Segura

Orcid: 0000-0001-8988-4540

According to our database1, Domingo Alcaraz-Segura authored at least 20 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Shrub of a thousand faces: an individual segmentation from satellite images using deep learning.
CoRR, 2024

2023
Influences of Satellite Sensor and Scale on Derivation of Ecosystem Functional Types and Diversity.
Remote. Sens., December, 2023

Retrieving water chlorophyll-<i>a</i> concentration in inland waters from Sentinel-2 imagery: Review of operability, performance and ways forward.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Deep Learning for blind spectral unmixing of LULC classes with MODIS multispectral time series and ancillary data.
CoRR, 2023

2021
Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN.
Sensors, 2021

Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors.
Sensors, 2021

A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes.
Remote. Sens., 2021

2020
Bayesian Harmonic Modelling of Sparse and Irregular Satellite Remote Sensing Time Series of Vegetation Indexes: A Story of Clouds and Fires.
Remote. Sens., 2020

Tree Cover Estimation in Global Drylands from Space Using Deep Learning.
Remote. Sens., 2020

2019
Detection of Fir Trees (<i>Abies sibirica</i>) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning.
Remote. Sens., 2019

A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands.
Remote. Sens., 2019

Remotely Sensed Variables of Ecosystem Functioning Support Robust Predictions of Abundance Patterns for Rare Species.
Remote. Sens., 2019

Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Satellite Remote Sensing of Ecosystem Functions: Opportunities and Challenges for Reporting Obligations of the EU Habitat Directive.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Deep-learning <i>Versus</i> OBIA for Scattered Shrub Detection with Google Earth Imagery: <i>Ziziphus lotus</i> as Case Study.
Remote. Sens., 2017

Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery.
CoRR, 2017

Potential of satellite-derived ecosystem functional attributes to anticipate species range shifts.
Int. J. Appl. Earth Obs. Geoinformation, 2017

2013
Environmental and Human Controls of Ecosystem Functional Diversity in Temperate South America.
Remote. Sens., 2013

2010
Evaluating the Consistency of the 1982-1999 NDVI Trends in the Iberian Peninsula across Four Time-series Derived from the AVHRR Sensor: LTDR, GIMMS, FASIR, and PAL-II.
Sensors, 2010


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