Author Info
Name
Affiliation
Papers
J.F. MAS
Instituto de Geografía, Universidad Nacional Autónoma de México (UNAM), Sede Morelia, Aquiles Serdán 382, Colonia Centro, 58000 Morelia, Michoacán, Mexico
16
Collaborators
Citations 
PageRank 
41
136
13.09
Referers 
Referees 
References 
344
195
89
Search Limit
100344
Title
Citations
PageRank
Year
Land Use Land Cover Classification With U-Net: Advantages Of Combining Sentinel-1 And Sentinel-2 Imagery00.342021
Variables Selection for Aboveground Biomass Estimations Using Satellite Data: A Comparison between Relative Importance Approach and Stepwise Akaike’s Information Criterion00.342019
Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923-3943.00.342016
Comparison of simulation models in terms of quantity and allocation of land change70.522015
Modeling Historical Land Cover and Land Use: A Review fromContemporary Modeling10.372015
Inductive pattern-based land use/cover change models: A comparison of four software packages.281.232014
Land change modelling: moving beyond projections20.392013
Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico110.822013
Enhanced land use/cover classification of heterogeneous tropical landscapes using support vector machines and textural homogeneity.140.952013
A Suite of Tools for ROC Analysis of Spatial Models.120.702013
Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest.211.342012
Land cover mapping applications with MODIS: a literature review.91.252012
Éclairer le choix des outils de simulation des changements des modes d'occupation et d'usages des sols. Une approche comparative.70.922011
The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data50.962009
Change Estimates by Map Comparison: A Method to Reduce Erroneous Changes Due to Positional Error40.462005
Modelling deforestation using GIS and artificial neural networks152.172004