About GridEarth

GridEarth – Overview

GridEarth is an advanced geospatial data extraction, analysis, and visualization software developed by the All India Coordinated Research Project on Agrometeorology (AICRPAM) at ICAR–Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, India.

It is designed to simplify access to complex multi-dimensional climate datasets generated from satellites, reanalysis products, and climate models. GridEarth removes the need for complex coding (Python, NCO, CDO) and enables researchers to work efficiently with powerful geospatial tools using a simple interface.

Scientific and Technical Innovation

Modern Earth observation systems produce petabytes of climate and environmental data. Traditionally, analyzing these datasets require advanced programming and scientific expertise. GridEarth changes this by providing:

• Easy-to-use graphical interface
• Automated geospatial extraction tools
• High-precision scientific analysis
• Support for major climate data formats

Supported Scientific Data Formats

• NetCDF (.nc / .nc4)
• HDF5
• GRIB
• GRD
• TIFF / GeoTIFF

Advanced Technical Architecture

Intelligent Coordinate Detection

GridEarth includes automatic detection of:

• Latitude
• Longitude
• Time dimension

Flexible Extraction Methods

• Point extraction
• Multiple-point extraction
• Bounding box extraction
• Shapefile-based regional analysis
• Area-weighted aggregation

Scientific Applications

• Climate trend analysis (Mann–Kendall, regression)
• Anomaly detection (Z-score, IQR)
• Time-series visualization
• Distribution analysis
• Interactive map analytics

Scientific Impact

GridEarth supports advanced research in:

• Climate risk assessment
• Agricultural planning & early warning systems
• Drought & hydrological modeling
• Satellite validation & model comparison

Its intuitive interface and powerful tools make GridEarth ideal for scientists, students, remote sensing specialists, climate modelers, and policy analysts.