Eric Ariel L. Salas The scientific community hides me behind the initials EAL Salas

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Google Earth Engine (GEE) Code to Calculate Moment Distance Index Normalized (MDIN) Using Sentinel-2 or LandSat Images

By EAL Salas on January 15, 2025January 15, 2025

MDIN stands for Moment Distance Index Normalized, originally developed by Salas and Henebry (2013) and improved by Salas and Subburayalu (2019). We developed MDIN to improve the spatial-spectral classification ofContinue readingGoogle Earth Engine (GEE) Code to Calculate Moment Distance Index Normalized (MDIN) Using Sentinel-2 or LandSat Images

Machine Learning-Based Classification of Small-Sized Wetlands Using Sentinel-2 Images

By EAL Salas on January 29, 2024January 29, 2024

Here’s our recently published paper about mapping small-sized wetlands, typically less than 10 acres in size, using machine learning algorithms and utilizing Google Earth Engine (GEE). AbstractWetlands are invaluable ecosystems,Continue readingMachine Learning-Based Classification of Small-Sized Wetlands Using Sentinel-2 Images

Satellite Remote Sensing for Monitoring Air Quality and Pollution

By EAL Salas on August 2, 2023July 26, 2023

Air pollution is a pressing environmental concern that affects the health and well-being of millions of people worldwide. Continuous monitoring of air quality is crucial for understanding the sources andContinue readingSatellite Remote Sensing for Monitoring Air Quality and Pollution

How to Choose the Perfect University for Graduate Studies

By EAL Salas on July 26, 2023

Selecting the right university for graduate studies is a critical decision that can significantly impact one’s academic and professional journey. With numerous universities worldwide offering diverse graduate programs, the processContinue readingHow to Choose the Perfect University for Graduate Studies

Hyperspectral Bare Soil Index (HBSI): Mapping Soil Using an Ensemble of Spectral Indices in Machine Learning Environment

By EAL Salas on July 10, 2023July 26, 2023

Abstract Spectral remote-sensing indices based on visible, NIR, and SWIR wavelengths are useful in predicting spatial patterns of bare soil. However, identifying an effective combination of informative wavelengths or spectralContinue readingHyperspectral Bare Soil Index (HBSI): Mapping Soil Using an Ensemble of Spectral Indices in Machine Learning Environment