João F. Gonçalves

Orcid: 0000-0002-6615-0218

According to our database1, João F. Gonçalves authored at least 14 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Sentinel-2 Time Series and Classifier Fusion to Map an Aquatic Invasive Plant Species along a River - The Case of Water-Hyacinth.
Remote. Sens., July, 2023

2022
Combining Citizen Science Data and Satellite Descriptors of Ecosystem Functioning to Monitor the Abundance of a Migratory Bird during the Non-Breeding Season.
Remote. Sens., 2022

Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2021
'The Best of Two Worlds' - Combining Classifier Fusion and Ecological Models to Map and Explain Landscape Invasion by an Alien Shrub.
Remote. Sens., 2021

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

Development of Tools for Coastal Management in Google Earth Engine: Uncertainty Bathtub Model and Bruun Rule.
Remote. Sens., 2021

2020
Combining Satellite Remote Sensing and Climate Data in Species Distribution Models to Improve the Conservation of Iberian White Oaks (Quercus L.).
ISPRS Int. J. Geo Inf., 2020

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

<i>SegOptim</i> - A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2017
Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region.
Int. J. Appl. Earth Obs. Geoinformation, 2017

2015
Can we predict habitat quality from space? A multi-indicator assessment based on an automated knowledge-driven system.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring.
Int. J. Geogr. Inf. Sci., 2014

Beyond INSPIRE: An Ontology for Biodiversity Metadata Records.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014


  Loading...