Martín Miguel de Güemes International Airport (SASA)

Martín Miguel de Güemes International Airport at a glance

Martín Miguel de Güemes International Airport is a large airport in Salta, Salta Province, Argentina, known to airline systems as SLA. The field elevation of 4,088 ft (1246 m) is the number every arriving pilot dials against QNH — circuit heights and initial approach altitudes at SASA are all figured from it. The airport handles scheduled commercial service, so expect controlled procedures, published approaches and commercial traffic in the pattern.

Of its 2 runways, the longest — 02/20 — offers 9,842 ft (3000 m) of asp surface, with runway lighting for night operations. Runway numbers give magnetic orientation: runway 02 points roughly 20° magnetic.

For the weather side of planning, the live METAR and TAF page for SASA shows the current observation decoded line by line — wind on an instrument dial, visibility, cloud layers and the resulting flight rules — refreshed continuously from official sources.

Flight-planning notes for Martín Miguel de Güemes International Airport

Density altitude is the quiet performance-killer at any field: on a hot day the 4,088 ft field elevation of Martín Miguel de Güemes International Airport can translate into a substantially higher density altitude, stretching take-off rolls and flattening climb rates — run the numbers rather than trusting the feel of a standard day. Expect published instrument procedures, controlled airspace and clearance requirements; slots and handling may apply to general aviation traffic.

This entry is one of 73 airports and airfields we list for Argentina — the country index on the airports hub links the rest. Coordinates above are given in both DMS and decimal degrees so they can go straight into a GPS, a flight planner or a chart plot without conversion.

Where this data comes from

The reference layer behind this page builds on the OurAirports dataset — a public-domain, community-maintained register of the world's airports that many flight planners and apps rely on — with equity records preserved from documented historical listings where the dataset is silent. Figures are carried as published: elevations as surveyed, coordinates as filed, runway dimensions as recorded. Nothing is estimated to fill a gap, and the whole layer regenerates from source on every site build, so corrections upstream arrive here automatically.