Sas.planet.nightly.250114.10738.x64.7z Jun 2026

: A high-efficiency archive format compressed using open-source 7-Zip technology. Key Features of the 250114 Build

: Select your desired provider (e.g., Google Satellite, Bing Maps, ESRI) from the menu [18]. Zoom Levels

: It can convert web maps into formats compatible with handheld GPS devices like Garmin or mobile apps like Locus Map.

Native , allowing the program to utilize more than 4GB of system RAM for massive tile stitching. .7z SAS.Planet.Nightly.250114.10738.x64.7z

: You can download an entire region’s satellite data to your laptop or tablet and use it in the field without an internet connection.

The filename follows the standard SAS.Planet versioning syntax:

Nightly builds often integrate emerging public sources, such as: Native , allowing the program to utilize more

SAS.Planet excels at gathering massive high-fidelity maps for localized offline workflows.

: Refers to the rolling development cycle branch where new features, API map fixes, and optimizations are committed daily. 250114 : Represents the release date of January 14, 2025. 10738 : Specifies the unique build or revision number.

Given the February-ish timeline (build from Jan 14, 2025), this nightly includes recent updates likely focused on: : Refers to the rolling development cycle branch

The phrase refers to a specific "nightly build" of SAS.Planet, a free, open-source program used for viewing and downloading high-resolution satellite imagery from services like Google Earth, Bing Maps, and Yandex.

The precise compilation date in YYMMDD format (). 10738

Allow users to choose between models (e.g., "Building Detection" vs. "Vegetation Index"). Why this build?

For the uninitiated, a "Nightly" build is a snapshot of development work in progress. It contains the latest features, bug fixes, and optimizations that haven't yet made it into the official "stable" release. The designation x64 confirms this is built for modern 64-bit architecture, ensuring it can handle the heavy memory load required for stitching together massive high-resolution map tiles.

SAS.Planet isn’t just one map source. It aggregates data from: