Documentation & Guide
Master the RegionSat Intelligence Engine. Step-by-step guides for extracting, analyzing, and exporting planetary data.
Getting Started
Account Registration
Creating an account ensures your extraction history is saved and allows for larger bulk downloads.
Click the "Profile" icon in the top right or the "Register" button on the homepage.
Enter your Organization Name and Email. Our system uses Auto-Verification, so you will be logged in immediately.
If you have an older account, simply log in. The system will automatically detect and upgrade your account security.
The DataHub Interface
The extraction engine is split into two primary zones for efficiency.
Left Sidebar (Config)
This is your control center. Here you define:
- Variables: Temp, Rain, Soil Moisture
- Region: Lat/Lon Coordinates
- Time: Date Range & Frequency
Right Panel (Vis)
The visualization engine.
- Map: Interactive Leaflet map.
- Chart: Instant time-series graph.
- Citation: Auto-generated academic citations.
Step-by-Step Extraction
Step 1: Define Region
Choose between two modes on the sidebar:
- Point Mode: Enter precise Latitude/Longitude. Ideal for single location analysis.
- Box Mode: Draw a rectangle on the map. The system averages all grid points within this box.
[X] Box Mode [ ] Point Mode
Min Lat: 22.5 Max Lat: 24.0
Min Lon: 86.0 Max Lon: 88.5
Step 2: Select Variables & Source
Select your climate variables. The system has built-in intelligence:
- If you select Temperature, it defaults to ERA5.
- If you select Solar Radiation, it defaults to NASA POWER.
- If you select Future Horizon, it switches to CMIP6 Models.
Step 3: Run Analysis
Click Run Analysis to fetch data. The graph will update instantly showing time-series trends.
Download & Export
We support four industry-standard formats for data egress.
| Format | Best Use Case | Details |
|---|---|---|
| .xlsx (Excel) | Business / Analysis | Formatted sheets with metadata headers. Best for manual review. |
| .csv | Data Science / Pandas | Flat raw text file. Fastest for large bulk downloads. |
| .json | Web Apps / APIs | Key-value pair structure. Ideal for JavaScript/React integration. |
| .nc (NetCDF) | GIS / Research | Multi-dimensional array. Opens in QGIS, ArcGIS, or Python Xarray. |