Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Francisco Gomariz-Castillo
Isolation Forests to Evaluate Class Separability and the Representativeness of Training and Validation Areas in Land Cover Classification
Remote Sensing
Earth
Planetary Sciences
Related publications
Contextual Land-Cover Classification: Incorporating Spatial Dependence in Land-Cover Classification Models Using Random Forests and the Getis Statistic
Remote Sensing Letters
Earth
Planetary Sciences
Electrical
Electronic Engineering
Land Cover Classification Method With Consideration of Mixel Existence and Representativeness of Training Data, Using Time-Series and Low Spatial Resolution Satellite Images.
Journal of the Japan society of photogrammetry and remote sensing
A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques
Remote Sensing
Earth
Planetary Sciences
Land Cover Classification of Urban and Peri-Urban Areas Using Object-Oriented Analysis of Multispectral Imagery
Hrvatski Geografski Glasnik
Development
Earth-Surface Processes
Planning
Geography
The Problem of Translation Representativeness and the Translatalogical Classification of Texts
RUDN Journal of Language Education and Translingual Practices
A Systematic Review of Meta-Analyses That Evaluate Risk Factors for Dementia to Evaluate the Quantity, Quality, and Global Representativeness of Evidence
Journal of Alzheimer's Disease
Gerontology
Clinical Psychology
Mental Health
Psychiatry
Geriatrics
Medicine
Neuroscience
Land Use and Land Cover Mapping Using Rule-Based Classification in Karbala City, Iraq
Lecture Notes in Civil Engineering
Civil
Structural Engineering
A Hierarchical Approach of Hybrid Image Classification for Land Use and Land Cover Mapping
Geographica Pannonica
Development
Hospitality Management
Geology
Leisure
Atmospheric Science
Planning
Earth-Surface Processes
Tourism
Geography
Potential of Different Optical and SAR Data in Forest and Land Cover Classification to Support REDD+ MRV
Remote Sensing
Earth
Planetary Sciences