What does a project include?
Deliverables are agreed before work starts and can include cleaned data, maps, figures, a written interpretation, and the underlying scripts so the workflow can be reviewed and rerun.
Remote Sensing & GIS Services
Alongside my research, I take on a small number of applied remote-sensing and geospatial projects for research groups, NGOs, and agribusinesses working in Nepal and the wider region. These are the same methods I use in my own work, described on the methods page.
What I Take On
Google Earth Engine Analysis
Cloud-based processing of Sentinel-2, Landsat, and MODIS archives: time-series composites, cloud masking, and reproducible scripts you keep and can re-run yourself after the project ends.
NDVI & Crop Health Monitoring
Vegetation indices (NDVI, NDWI, SAVI, GCI) tracked across a season to flag crop stress, compare plots or treatments, and support irrigation and fertiliser decisions.
Land-Cover Classification & Mapping
Supervised and unsupervised land-cover maps with an accuracy assessment, plus cartographic output suitable for reports, proposals, and publications.
Agricultural Data Analysis
Field-trial and survey data cleaned and analysed in R or Python, with the statistics, figures, and a written interpretation you can put straight into a report or manuscript.
How It Works
Tell me the question, the area, and the timeframe. I reply with what is feasible from available satellite data, what it will cost, and how long it will take — or say plainly if the data cannot answer your question. Every project hands back the underlying scripts and data, not just a PDF.
Availability
My primary commitment is research and MSc study, so I keep this work deliberately limited and will say so if I do not have capacity. If you are a prospective supervisor rather than a client, the research fit page is the more relevant one.
Remote Sensing Service Questions
Which tools and data are used?
Depending on the question, projects may use Sentinel-2, Landsat or MODIS imagery with Google Earth Engine, GIS, Python, or R.
What is needed for a feasibility review?
Send the research question, location or boundary, time period, intended output, and deadline. I will explain what the available data can and cannot support before proposing work.