SEO-friendly, plain-English guides to the satellite imagery, indices and survey workflows I use — written to help students and early-career geospatial analysts.
A practical reference guide to Landsat 8 and 9 band combinations — natural color, false color, agriculture, and more — with Indian landscape contexts including the IGP, Punjab croplands, and Deccan scrub.
A technical comparison of Sentinel-2's built-in SCL band and the s2cloudless ML model for cloud masking, with a focus on Indian monsoon conditions where cloud cover disrupts agricultural monitoring and flood mapping.
Red edge indices like NDRE and CIre detect crop stress weeks before NDVI saturates — here is how to apply them on Sentinel-2 imagery for Indian wheat and rice fields.
SAR flood mapping with Sentinel-1 works through microwave backscatter contrast between water and land — and with India's new ISRO-Jal Shakti MOU, it is moving from research into operational policy. Here is how the technique actually works, step by step.
GRACE and GRACE-FO satellites measure tiny changes in Earth's gravitational field to track groundwater depletion from orbit — a method now central to water-resource monitoring in India and globally.
NDVI turns red and near-infrared bands into a simple measure of how green and healthy vegetation is. Here is how I compute and read it from Sentinel-2 and Landsat in my Punjab and Delhi NCT work.
A practical guide to ground control points and GNSS for accurate drone maps, drawn from my UAV photogrammetry work at IIT Roorkee using Emlid Reach RS3 and Trimble DA.
A practical guide to buffer zones and zonal statistics in QGIS for measuring environmental footprint, grounded in my Delhi NCT industrial impact work with Sentinel-2 indices.
An honest practitioner comparison of QGIS and ArcGIS Pro for GIS and remote sensing work, with cost, workflow, and practical advice for students in India.
A plain guide to NDWI and NDBI: the formulas, band pairs, and how I read them alongside NDVI to map water, moisture, and built-up land in India.
Punjab grows much of India's grain but is draining its aquifers fast. Here is how Landsat NDVI and NDWI change maps over 2000-2025, paired with groundwater data, expose the stress.
A plain, practical guide to Sentinel-2 bands, their 10/20/60 m resolutions, and which bands to use for NDVI, NDWI, and NDBI, with free Copernicus access.
A field-tested guide to UAV photogrammetry, from flight planning and ground control to processing an orthomosaic, DSM, and point cloud, drawn from my survey work at IIT Roorkee.
A practical roadmap to break into GIS and remote sensing in India: degrees, QGIS and ArcGIS, Python, Google Earth Engine, Esri and IIRS/ISRO certifications, projects, and where to find jobs.
Google Earth Engine puts decades of satellite data and planetary-scale processing in your browser. Here is what it is, why it matters, and how to start.