Jean-François Mas

Orcid: 0000-0002-6138-9879

According to our database1, Jean-François Mas authored at least 25 papers between 2003 and 2024.

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

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Assessment of Census and Remote Sensing Data to Monitor Irrigated Agriculture in Mexico.
Proceedings of the 10th International Conference on Geographical Information Systems Theory, 2024

2022
Identifying Coffee Agroforestry System Types Using Multitemporal Sentinel-2 Data and Auxiliary Information.
Remote. Sens., 2022

Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages.
Environ. Model. Softw., 2022

2021
Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery.
Remote. Sens., 2021

2019
Variables Selection for Aboveground Biomass Estimations Using Satellite Data: A Comparison between Relative Importance Approach and Stepwise Akaike's Information Criterion.
ISPRS Int. J. Geo Inf., 2019

2016
Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. <i>Remote Sens.</i> 2014, 6, 3923-3943.
Remote. Sens., 2016

Spatiotemporal modeling of fuelwood environmental impacts: Towards improved accounting for non-renewable biomass.
Environ. Model. Softw., 2016

2015
Modeling Historical Land Cover and Land Use: A Review fromContemporary Modeling.
ISPRS Int. J. Geo Inf., 2015

Comparison of simulation models in terms of quantity and allocation of land change.
Environ. Model. Softw., 2015

Identifying Local Deforestation Patterns Using Geographically Weighted Regression Models.
Proceedings of the Geographical Information Systems Theory, Applications and Management, 2015

Local Deforestation Patterns in Mexico - An Approach using Geographiccally Weighted Regression.
Proceedings of the GISTAM 2015, 2015

2014
Inductive pattern-based land use/cover change models: A comparison of four software packages.
Environ. Model. Softw., 2014

2013
A Suite of Tools for ROC Analysis of Spatial Models.
ISPRS Int. J. Geo Inf., 2013

Land change modelling: moving beyond projections.
Int. J. Geogr. Inf. Sci., 2013

Interest in intermediate soft-classified maps in land change model validation: suitability versus transition potential.
Int. J. Geogr. Inf. Sci., 2013

Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico.
Int. J. Geogr. Inf. Sci., 2013

Enhanced land use/cover classification of heterogeneous tropical landscapes using support vector machines and textural homogeneity.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2012
Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest.
Environ. Model. Softw., 2012

Land cover mapping applications with MODIS: a literature review.
Int. J. Digit. Earth, 2012

2011
Éclairer le choix des outils de simulation des changements des modes d'occupation et d'usages des sols. Une approche comparative.
Rev. Int. Géomatique, 2011

2009
The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data.
Int. J. Digit. Earth, 2009

2005
Change Estimates by Map Comparison: A Method to Reduce Erroneous Changes Due to Positional Error.
Trans. GIS, 2005

2004
Modelling deforestation using GIS and artificial neural networks.
Environ. Model. Softw., 2004

2003
Assessing land use/cover changes in Mexico: a wall-to-wall multidate GIS database.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

An artificial neural networks approach to map land use/cover using Landsat imagery and ancillary data.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003


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