João F. Gonçalves

According to our database, João F. Gonçalves authored at least 13 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Nuno Mouta, Renato Silva, Eva M. Pinto, Ana Sofia Vaz, Joaquim M. Alonso, João F. Gonçalves, João P. Honrado, Joana R. Vicente

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.

Francisco S. Moreira, Adrián Regos, João F. Gonçalves, Tiago M. Rodrigues, André Verde, Marc Pagès, José A. Pérez, Bruno Meunier, Jean-Pierre Lepetit, João P. Honrado, David Gonçalves

Remote. Sens., 2022

Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles.

Nádia Soares, João F. Gonçalves, Raquel Vasconcelos, Rita P. Ribeiro

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.

Nuno Mouta, Renato Silva, Silvana Pais, Joaquim M. Alonso, João F. Gonçalves, João P. Honrado, Joana R. Vicente

Remote. Sens., 2021

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

Bruno Marcos, João F. Gonçalves, Domingo Alcaraz-Segura, Mário Cunha, João P. Honrado

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.).

Carlos Vila-Viçosa, Salvador Arenas-Castro, Bruno Marcos, João P. Honrado, Cristina García, Francisco M. Vázquez, Rubim Almeida, João F. Gonçalves

ISPRS Int. J. Geo Inf., 2020

2019

Remotely Sensed Variables of Ecosystem Functioning Support Robust Predictions of Abundance Patterns for Rare Species.

Salvador Arenas-Castro, Adrián Regos, João F. Gonçalves, Domingo Alcaraz-Segura, João P. Honrado

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.

Bruno Marcos, João F. Gonçalves, Domingo Alcaraz-Segura, Mário Cunha, João P. Honrado

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.

João F. Gonçalves, Isabel Pôças, Bruno Marcos, Caspar A. Mücher, João P. Honrado

Int. J. Appl. Earth Obs. Geoinformation, 2019

2017

Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region.

Isabel Pôças, João F. Gonçalves, Patrícia M. Costa, Igor Gonçalves, Luís S. Pereira, Mario Cunha

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.

Ana Sofia Vaz, Bruno Marcos, João F. Gonçalves, António Monteiro, Paulo Alves, Emilio Civantos, Richard M. Lucas, Paola Mairota, Javier Garcia-Robles, Joaquim M. Alonso, Palma Blonda, Ângela Lomba, João Pradinho Honrado

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.

Isabel Pôças, João F. Gonçalves, Bruno Marcos, Joaquim M. Alonso, Pedro Castro, João P. Honrado

Int. J. Geogr. Inf. Sci., 2014

Beyond INSPIRE: An Ontology for Biodiversity Metadata Records.

João Rocha da Silva, João Aguiar Castro, Cristina Ribeiro, João P. Honrado, Ângela Lomba, João F. Gonçalves

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014