Andean High Plains

Remote Sensing of Salinity in Arid Mountain Environments

This project focuses on advancing satellite-based methods to measure surface-water salinity in remote, high-sloping areas, specifically targeting the unique environmental conditions of the Andes Mountains' Salar de Atacama salt flat. Current satellite technology faces challenges in these steep, arid settings, often resulting in less accurate salinity readings. Through new algorithm development, this project aims to enhance the Sentinel satellite's ability to detect and monitor salinity levels with precision, providing valuable data for local resource management and offering a scalable solution for similar environments worldwide.

Project Objectives:

• Algorithm Development: Create an algorithm tailored to the Sentinel satellite that improves salinity detection in steep, arid regions.

• Data Integration: Use in-situ salinity measurements from Salar de Atacama to refine satellite readings.

• Enhanced Monitoring: Develop a remote sensing technique that can capture reliable salinity data across the Andes and potentially in other high-sloping, arid environments.

• Public and Research Benefits: Generate data that is accessible to researchers and the public, supporting water resource planning and sustainable management.

Progress and Milestones:

• Field Sampling and Data Collection: Initial samples were gathered from the Salar de Atacama, focusing on surface salinity variations across different locations and seasons.

• Algorithm Testing: In-progress testing on the Sentinel satellite's raw data has begun, incorporating both field samples and theoretical models to calibrate the algorithm.

• Seasonal Salinity Trends: Early results show seasonal salinity changes, with higher values detected during the winter when precipitation is lower, affecting salt concentration.

• Mapping and Visualization: Using ArcGIS, researchers overlay field and satellite data to visually confirm and tweak alignment between observed and detected salinity levels.

Expected Outcomes:

• Increased Accuracy in Salinity Detection: The finalized algorithm will allow satellites to more accurately measure surface salinity, even in the complex conditions of the Andes.

• Broad Application Potential: This new method can be applied to other challenging, arid, high-sloping environments, making global salinity data more accessible.

• Resource Management Support: Enhanced data can help local industries, including agriculture and mining, manage water resources more effectively.

• Global Research Implications: Researchers worldwide will gain a reliable tool for studying arid region hydrology, supporting larger-scale studies of surface water dynamics.