If you still need to test SAS.Planet.Nightly.250114.10738.x64.7z:
For geographers, preppers, travelers, and GIS hobbyists, offline satellite imagery is a critical resource. One of the most powerful tools in this niche is SAS.Planet. You may have encountered a specific file: SAS.Planet.Nightly.250114.10738.x64.7z. This is not random text—it follows a structured naming convention that tells you exactly what you are downloading.
In this comprehensive article, we will explore what SAS.Planet is, dissect the filename, explain the risks and benefits of nightly builds, provide safe usage guidelines, and discuss legal considerations.
Perhaps the most significant "feature" of SAS.Planet is the community that sustains it. Because the software aggregates open-source map data, it relies on constant updates to keep up with changes in map provider APIs. The fact that Nightly builds are still being churned out (as indicated by the 250114 date stamp) proves that the developer ecosystem is active and vibrant.
In an internet increasingly sanitized by corporate interests, SAS.Planet stands as a bastion of the old-school web—functional, util
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This guide covers the (developer) build of SAS.Planet , a free, open-source program used to view and download high-resolution satellite imagery and maps from sources like Google Maps, Bing, and OpenStreetMap [19, 21]. 1. Installation & Setup Since the file ends in , it is a compressed archive. Extracting : Use a tool like 7-Zip or WinRAR to extract the SAS.Planet.Nightly.250114.10738.x64.7z file to a permanent folder on your PC (e.g., C:\SASPlanet : Open the folder and run SASPlanet.exe : If it fails to load maps, try running it as an Administrator
: If the interface opens in Russian, go to the top menu, select the first link ending in "09" (Settings), and change the language to 2. Selecting Maps & Zoom
SAS.Planet works by "tiles," loading small pieces of the map as you navigate. Map Source
: Select your desired provider (e.g., Google Satellite, Bing Maps, ESRI) from the menu [18]. Zoom Levels
: The zoom level determines the resolution. Higher numbers (e.g., Zoom 18–24) provide better detail but take much longer to download [18, 22]. 3. Downloading Imagery for Offline Use
To save a high-resolution image of a specific area for offline use or GIS software: Selection Manager
tool (the "dotted square" icon) to drag a box over your area of interest [18]. : In the popup window, go to the
tab. Select the map source and the zoom levels you want to save. Click Export (Stitching) : Once the download finishes, go to the tab in the same window. (good for large areas). : Select your destination folder. Georeferencing
: Ensure "Create georeferencing file" (like .map or .wld) is checked if you plan to use it in QGIS or ArcGIS [18]. 4. Advanced Features GPS Integration SAS.Planet.Nightly.250114.10738.x64.7z
: You can connect a GPS device via a serial port to track your position in real-time on the satellite map [20]. Offline Navigation
: Once an area is downloaded, you can use SAS.Planet entirely , making it ideal for field research in remote areas [21]. Importing Data : You can overlay your own
files to see your custom paths over the latest satellite imagery. 5. Troubleshooting Missing Maps
: Some providers (like Google) occasionally change their URL structures. You may need to download a "Maps Patch" or update your map scripts within the Maps\sas.maps folder to fix broken layers. Performance
: Nightly builds are "beta" versions. If you experience frequent crashes, consider using the latest Stable version export these maps for use in a mobile app or professional GIS software?
Planet.Nightly.250114.10738.x64.7z. 🚀 New Release: SAS.Planet Nightly (v250114.10738) x64
The latest nightly build of SAS.Planet is now available. This version includes the most recent updates for viewing and downloading high-resolution satellite imagery and map data from various providers. Key Features:
Multi-Source Mapping: Access layers from Google Maps, Bing, DigitalGlobe, Yandex, and more OpenStreetMap Wiki.
Offline Viewing: Download specific tiles to use maps without an active internet connection.
High-Resolution Export: Stitch tiles into large-scale images for GIS or personal use YouTube.
Nightly Build: Includes the latest bug fixes and experimental features (10738) compiled on January 14, 2025. File Details: Filename: SAS.Planet.Nightly.250114.10738.x64.7z Architecture: 64-bit (x64) Format: 7-Zip Compressed Archive How to Install: Download the .7z archive.
Extract the contents to a folder on your PC (portable, no installation required). Run SASPlanet.exe to start mapping.
The string SAS.Planet.Nightly.250114.10738.x64.7z refers to a specific nightly development build of SAS.Planet
, a free and open-source Geographic Information System (GIS) application. This particular file follows a standard naming convention: it is the 64-bit version (x64) released on January 14, 2025 (250114), with build number , compressed in the What is SAS.Planet? SAS.Planet
is a Windows-based application used to view and download high-resolution satellite imagery and conventional maps from a vast array of online services. Unlike many standard map viewers, it allows users to cache maps for offline use and export them into various formats compatible with other GIS software and GPS devices. Key features include: Multi-Source Mapping : Access to layers from Google Maps OpenStreetMap , Bing Maps, and many specialized regional services. High-Resolution Downloads If you still need to test SAS
: Users can select specific areas and download imagery at high zoom levels (e.g., zoom 20 or 24) for detailed analysis. Offline Functionality
: Once imagery is downloaded to the local cache, it can be viewed without an active internet connection. Geospatial Tools
: Includes measurement tools, the ability to import/export KML files, and support for GPS receivers. Nightly vs. Stable Builds
The "Nightly" designation in the filename indicates that this version is part of the development branch. Nightly Builds
: These are released frequently (often daily) and contain the latest bug fixes, experimental features, and updated map scripts to ensure compatibility as web map services change their APIs. Stable Builds
: These are released less often and are generally more thoroughly tested for production use. Usage and Requirements
SAS.Planet is primarily a portable application, meaning it does not require a formal installation process; users simply extract the archive and run the executable. It is designed strictly for
environments. Users often turn to SAS.Planet when they need to "stitch" together many individual map tiles into a single large geo-referenced image for use in professional mapping or field navigation. for this specific version or how to export imagery for use in other GIS applications? SAS.Planet is a free, open-source Geographic ... - GitHub
To develop a deep feature for SAS.Planet (specifically the nightly build 250114), you can leverage its open-source Pascal/Delphi architecture to implement AI-driven automated terrain classification. Feature: AI Terrain & Land Cover Classifier
This "deep" feature would allow users to select an area and have a neural network automatically label land types (e.g., forest, water, urban, agriculture) directly within the program, creating a new vector layer based on the raster imagery. Implementation Steps Environment Setup Source Code: Clone the SAS.Planet repository from GitHub.
IDE: You will need Embarcadero Delphi (the version specified in the project’s readme.md, typically Sydney or Alexandria) to compile the .pas source files. Model Integration (The "Deep" Component)
Since Delphi isn't native for deep learning, use a Tensorscript or Python4Delphi bridge.
Integrate a pre-trained U-Net or DeepLabV3+ model (trained on Sentinel-2 or similar satellite data).
Host the model locally via an ONNX runtime to keep the feature "offline-capable," consistent with SAS.Planet’s philosophy. Data Extraction Logic
Modify u_DownloadTask.pas or create a new plugin module to extract cache tiles ( px) from the cache_wmts folder for a defined selection. Normalize these tiles into tensors for the model. Vector Generation Please provide more details so I can give
Convert the model's output mask (probability map) into polygons.
Use the existing GDAL integration within SAS.Planet to handle the coordinate transformation from pixel space to WGS84/Mercator. UI Implementation
Add a new tab in the Selection Manager titled "AI Analysis."
Allow users to choose between models (e.g., "Building Detection" vs. "Vegetation Index"). Why this build?
The 250114.10738 nightly build likely includes the latest bug fixes for high-DPI displays and map engine optimizations. Building a feature on this specific version ensures you are working with the most stable current iteration of the internal tile-handling API.
This text refers to a specific nightly build of the software SAS.Planet
, a free, open-source program used for viewing and downloading high-resolution satellite imagery from services like Google Maps, Bing, and Yandex. File Name Breakdown SAS.Planet : The name of the GIS application
: Indicates a development version released frequently (often daily) to include the latest experimental updates or bug fixes. : The release date, January 14, 2025. : The specific build or revision number.
: The architecture, meaning it is designed for 64-bit operating systems. : A compressed archive file format created with What is it used for?
Users typically download these nightly builds to access the most recent features or updated map source scripts. The software allows you to: from multiple online sources simultaneously. Download imagery
for offline use (e.g., in specialized GPS devices or other GIS software). Export data in various formats like .kmz, .sqlitedb, or .map. stable release sasgis - GitHub
I understand you're looking for an article about the file SAS.Planet.Nightly.250114.10738.x64.7z. However, I should clarify that this filename refers to a specific nightly build of SAS.Planet — a free, open-source geographic mapping and satellite imagery viewer.
Below is a detailed, informational article written for users or researchers interested in this software version.
Teach geography students about tile-based mapping systems without burning API credits.