Author Info
Name
Affiliation
Papers
MARIO CAETANO
Portuguese Geographic Institute, Remote Sensing Unit, Lisboa, Portugal and CEGI, Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa, Lisboa, ...
11
Collaborators
Citations 
PageRank 
27
14
5.86
Referers 
Referees 
References 
64
160
55
Search Limit
100160
Title
Citations
PageRank
Year
Evaluation of Xgboost and Lgbm Performance in Tree Species Classification with Sentinel-2 Data.00.342021
Influence of Sample Size in Land Cover Classification Accuracy Using Random Forest and Sentinel-2 Data in Portugal.00.342021
Annual Crop Classification Experiments in Portugal Using Sentinel-2.00.342021
Exploring the Potential of Sentinel-2 Data for Tree Crown Mapping in Oak Agro-Forestry Systems.00.342021
Ratio of Land Consumption Rate to Population Growth Rate - Analysis of Different Formulations Applied to Mainland Portugal.10.372019
Land Cover Mapping from Remotely Sensed and Auxiliary Data for Harmonized Official Statistics.10.402018
Specific Land Cover Class Mapping by Semi-Supervised Weighted Support Vector Machines.40.422017
Land Cover Mapping Analysis and Urban Growth Modelling Using Remote Sensing Techniques in Greater Cairo Region—Egypt40.582015
Using uncertainty information to combine soft classifications20.402010
On The Information Provided By Uncertainty Measures In The Classification Of Remote Sensing Images00.342009
Retrieving land cover information from MERIS and MODIS Data: a comparative study for landscape characterization in Portugal22.012007