Data Used¶
The design of sDRIPS emphasizes minimal user-side data requirements while leveraging cloud-hosted datasets to ensure scalability and global applicability.
To execute sDRIPS for a given region of interest (ROI), users must provide only two essential inputs:
- A boundary polygon file (e.g., Shapefile or GeoJSON) that defines the spatial extent of the analysis.
- The operational mode in which sDRIPS should run.
Beyond these minimal requirements, sDRIPS automatically integrates multiple satellite remote sensing and model-based datasets via Google Earth Engine (GEE), including:
- Satellite imagery (e.g., Landsat, Sentinel)
- Precipitation estimates (NASA IMERG)
- Meteorological inputs (NOAA GFS)
Where available, in situ measurements (e.g., local weather station or sensor data) can supplement or replace global datasets. This adaptive design allows sDRIPS to operate seamlessly across varying levels of data availability, from global-scale applications to local field-level analysis.
- Table 1 (adapted from Khan and Hossain, (2025)) summarizes the minimal data and credentials required to run sDRIPS.
- Table 2 (adapted from Khan et al., (2026)) outlines the global datasets integrated into sDRIPS for estimation and analysis.
Table 1. Minimal data and credentials required to run sDRIPS¶
| Sr. No. | Requirement | Purpose |
|---|---|---|
| 1 | Google Earth Engine (GEE) Account | Access to cloud computing power and hosted satellite datasets |
| 2 | Precipitation Processing System (PPS) Account | Download NASA IMERG precipitation data |
| 3 | Boundary Polygon (Shapefile / GeoJSON) | Defines the spatial extent of the analysis |
| 4 | Crop Type and Planting Date | Provides crop-specific information needed for accurate ET estimation |
| 5 | Sensor or Weather Station Data (optional) | Improves estimation of net water requirement; required only if in-situ data are to be used |
Table 2. Global datasets integrated into sDRIPS¶
Optional supply comparison
Canal discharge data are not required for the core net water requirement workflow. They are used when users want to compare estimated net water requirement with available canal water supply.
| Dataset | Dataset ID on GEE | Band Name / Derived Products | Description | Spatial Resolution | Temporal Resolution |
|---|---|---|---|---|---|
| Global Forecasting System (GFS) | NOAA/GFS0P25 | temperature_2m_above_ground | Air temperature | 25 km | 6 h |
| u_component_of_wind_10m_above_ground | Wind speed (u component) | ||||
| v_component_of_wind_10m_above_ground | Wind speed (v component) | ||||
| specific_humidity_2m_above_ground | Specific humidity | ||||
| --- | --- | Pressure, estimated using the hypsometric equation | |||
| GEE and NOAA | total_precipitation_surface | 168 h precipitation | |||
| Landsat 8 and Landsat 9 satellite series | LANDSAT/LC08/C02/T1_TOA LANDSAT/LC09/C02/T1_TOA |
B2 | Blue | 30 m | 16 d individual, 8 d combined |
| B4 | Red | ||||
| B5 | NIR | ||||
| B6 | Shortwave IR | ||||
| B10 | Low gain thermal | ||||
| B11 | High gain thermal | ||||
| Sentinel 1 satellite | COPERNICUS/S1_GRD | VV | Single co-polarization, vertical transmit/vertical receive | 10 m | 10 d |
| Shuttle Radar Terrain Mapping (SRTM) | USGS/SRTMGL1_003 | --- | Digital elevation map | 30 m | --- |
| Global Land Cover Classification (GLCC) | COPERNICUS/Landcover/100m/Proba-V-C3/Global | discrete_classification | Land use land cover | 100 m | --- |
| IMERG GPM | --- | --- | Precipitation | 10 km | Around 4 h |
| SMAP satellite | NASA/SMAP/SPL3SMP_E/005 | soil_moisture_am | Soil moisture | 9 km | Daily |
| ISRIC SoilGrids | --- | --- | Field capacity | 250 m | --- |
| Canal discharge data | --- | --- | Discharge, used to compare net water requirement with water supply | --- | --- |
Source: adapted from Table 2 in Khan and Hossain (2026).