Remote Sensing & GIS Expert (Agriculture)

GalaxEye; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

GalaxEye is seeking an experienced Remote Sensing & GIS Expert with a strong focus on agricultural applications to develop geospatial solutions for crop mapping, acreage estimation, crop health and stress monitoring, and yield assessment.

The role requires hands-on processing of optical and SAR data (Sentinel-1/2, Landsat), GIS analysis, and integration of satellite with weather and field observations to support decision-making in agriculture.

Qualifications

• Master’s degree in Remote Sensing, GIS, Geo-informatics, Agriculture, Agricultural Engineering, Geography, or a related discipline.
• 5-6 years of relevant professional experience in Remote Sensing and GIS, with significant exposure to agricultural applications.
• Demonstrated experience in crop mapping, acreage estimation, crop monitoring, crop health assessment, or yield estimation.

Responsibilities

• Conduct crop identification, classification, and acreage estimation using multi-temporal satellite imagery.
• Perform crop health, vegetation stress, drought, and soil moisture assessment using spectral and SAR-based indicators.
• Support crop yield/productivity estimation and forecasting by integrating satellite, weather, soil, and ground observations.
• Process and analyze optical and SAR datasets, including Sentinel-1, Sentinel-2, Landsat, and high-resolution satellite imagery.
• Perform crop phenology and time-series analysis using indices such as NDVI, EVI, NDRE, NDWI, NDMI, and SAVI/MSAVI.
• Develop and validate crop classification and prediction models using Random Forest, SVM, XGBoost, and other machine learning approaches.
• Plan and support ground-truth/field data collection, model validation, accuracy assessment, and QA/QC.
• Prepare thematic maps, spatial databases, technical methodologies, reports, presentations, and other project deliverables.
• Coordinate with agronomists, GIS analysts, data scientists, software teams, and project stakeholders.

Skills

QGIS

ArcGIS

Google Earth Engine

Python

Sentinel-1

Sentinel-2

Landsat

Time-series analysis

ML classification

Random Forest

SVM

XGBoost

Education

Master’s degree in Remote Sensing, GIS, Geo-informatics, Agriculture, Agricultural Engineering, Geography

Tools

Python

QGIS

ArcGIS

Google Earth Engine

Random Forest

SVM

XGBoost

Job description

We are looking for an experienced Remote Sensing & GIS Expert with strong expertise in agricultural applications to develop and implement geospatial solutions for crop mapping, acreage estimation, crop health and stress monitoring, yield/productivity assessment, and agricultural decision-support systems. The candidate should have hands‑on experience in optical and SAR satellite data processing, GIS‑based spatial analysis, and integration of satellite, weather, and field datasets.

Key Responsibilities

• Conduct crop identification, classification, and acreage estimation using multi-temporal satellite imagery.
• Perform crop health, vegetation stress, drought, and soil moisture assessment using spectral and SAR-based indicators.
• Support crop yield/productivity estimation and forecasting by integrating satellite, weather, soil, and ground observations.
• Process and analyze optical and SAR datasets, including Sentinel-1, Sentinel-2, Landsat, and high-resolution satellite imagery.
• Perform crop phenology and time-series analysis using indices such as NDVI, EVI, NDRE, NDWI, NDMI, and SAVI/MSAVI.
• Develop and validate crop classification and prediction models using Random Forest, SVM, XGBoost, and other machine learning approaches.
• Plan and support ground‑truth/field data collection, model validation, accuracy assessment, and QA/QC.
• Prepare thematic maps, spatial databases, technical methodologies, reports, presentations, and other project deliverables.
• Coordinate with agronomists, GIS analysts, data scientists, software teams, and project stakeholders.

Requirements

Qualifications & Experience

• Master’s degree in Remote Sensing, GIS, Geo-informatics, Agriculture, Agricultural Engineering, Geography, or a related discipline.
• 5-6 years of relevant professional experience in Remote Sensing and GIS, with significant exposure to agricultural applications.
• Demonstrated experience in crop mapping, acreage estimation, crop monitoring, crop health assessment, or yield estimation.

Technical Skills

• Proficiency in QGIS/ArcGIS and Google Earth Engine (GEE).
• Working knowledge of Python for geospatial processing, automation, and data analysis.
• Strong understanding of optical and SAR remote sensing, including Sentinel-1 and Sentinel-2 time-series analysis.
• Knowledge of GIS analysis, image classification, vegetation indices, crop phenology, and accuracy assessment.
• Experience with machine learning-based classification and regression techniques.
• Familiarity with farm boundary delineation, precision agriculture, agricultural insurance, crop damage assessment, and deep learning applications will be an advantage.