Reading the Earth, pixel by pixel, for decisions that last.
Advanced Navigation and Geographical Information for Resource Assessment and Environmental Scanning
Satellite data, GIS and environmental science for water, agriculture, forests and land. We deliver research, build analytical software and train the people who use it.
One team from satellite scene to field decision.
Research & Consulting
Assessments, baselines and feasibility studies for government, donors and NGOs.
ServicesANGIRA Software
Desktop Earth observation analytics: indices, ML land cover and spatial modelling.
SoftwareANGIRA Academy
Certified courses and custom training in GIS, remote sensing and environmental science.
CoursesFour landscapes we work in.
Agriculture
Crop condition, cropping intensity and regenerative practice.
- NDVI · EVI · SAVI
- Crop type mapping
- Drought stress
Water
Hydroinformatics for basins, aquifers and surface water bodies.
- NDWI · MNDWI
- Basin & aquifer studies
- Hydrological modelling
Forestry
Forest cover change, restoration and sacred landscapes.
- LULC classification
- Restoration priority
- Species distribution
Environment
Land degradation, desertification and climate risk.
- LDN baselines
- Desertification risk
- Multi‑criteria analysis
Five stages, every project.
Scope
Define the question, area of interest and decision it supports.
Acquire
Satellite, climate, terrain and field data, cleaned and aligned.
Analyse
Indices, classification, modelling and multi‑criteria scoring.
Validate
Ground truth, accuracy assessment and stakeholder review.
Deliver
Maps, atlases, reports, dashboards and team training.
Have a landscape that needs answers?
Talk to our teamA science company built for the ground truth.
ANGIRA EnviroScan Pvt Ltd combines research, software and education in remote sensing and environmental science.
To lead in remote sensing, geoinformatics and environmental science, and through research and education drive sustainable practice and informed decisions for a greener, better‑informed future.
Evidence first
Every map is validated and every method documented and reproducible.
Built with users
Communities, officials and field staff shape what we measure.
Skills that stay
We leave trained teams and open tools, not just reports.
- G1
Environmental impact
Develop and support R&D that contributes to conservation and sustainability.
- G2
Remote sensing & GIS solutions
Advance applied work in agriculture, water, forestry and environment.
- G3
Educational excellence
A complete range of learning products for sustainable practice.
- G4
Workforce development
Specialised training for careers in environmental scanning and geoinformation.
- G5
Research innovation
New methods and evidence‑based solutions in geographical information research.
- G6
Community engagement
A network of learners, researchers and educators who share knowledge.
Amit Daiman
Founder & Director
A remote sensing and hydroinformatics scientist with more than 13 years of work on water, climate, agriculture and land degradation across India. He has worked with organisations including IUCN, GIZ, UNDP, TNC, NITI Aayog and ISRO.
His paper on desertification in the Chambal River Basin received the 2025 Editor's Choice award from Environmental Systems Research.
- Education
- MSc Hydroinformatics, IHE Delft, Netherlands
- Expertise
- Remote sensing, GIS, hydroinformatics, AI/ML spatial analytics
- Peer review
- Springer Nature journals
- Based in
- Rajasthan, India
Leadership Team & Advisory Board
Strategy, operations and partnerships, guided by experts in environment, geoinformation and sustainability.
Environmental Research
Scientists and project managers delivering R&D projects.
Remote Sensing & Geoinformatics
Methods and tools for agriculture, water, forests and environment.
Educational Products
Courses, publications and interactive tools.
Training & Development
Trainers, curriculum and certification.
Community & Outreach
Events, partnerships and the learner network.
Support Functions
Administration, finance and IT.
Geospatial research and consulting services.
From a single district map to a basin‑wide assessment, delivered with documented methods and validated results.
Land Use / Land Cover Mapping
Multi‑date classification with machine learning and accuracy assessment.
- Random Forest · SVM · CNN
- Change detection
- Kappa & confusion matrix
Water Resources & Hydrology
Basin, aquifer and surface water assessments for planning and policy.
- Watershed delineation
- Groundwater potential zones
- Water body dynamics
Agriculture Monitoring
Crop condition, yield proxies and regenerative agriculture indicators.
- Crop calendars
- Soil moisture proxies
- Drought indices
Land Degradation & Desertification
LDN baselines, degradation hotspots and trend analysis.
- SDG 15.3.1 indicators
- Productivity trends
- Erosion risk
Restoration & Site Suitability
Multi‑criteria models to rank where interventions pay off most.
- AHP · Fuzzy overlay
- MaxEnt species models
- Restoration plans & DPRs
Atlases, Dashboards & MER
Monitoring, evaluation and reporting products people use.
- District atlases
- Web dashboards
- Mid‑term & end‑line evaluation
Government
Departments, district administrations and state missions.
Development agencies
Bilateral and multilateral programmes and their partners.
NGOs & CSR
Conservation, livelihoods and corporate sustainability teams.
Academia
Universities and institutes needing data and methods support.
Need a technical proposal or methodology note?
Request a proposalSolutions by challenge.
Typical questions our clients bring, and the analysis we use to answer them.
Where should we recharge groundwater?
Groundwater potential mapping from geology, slope, drainage density, rainfall and land cover, weighted with AHP and checked against well data.
Is our district degrading or recovering?
Land Degradation Neutrality indicators: land cover change, productivity trend and soil organic carbon, reported to SDG 15.3.1.
Which sites should we restore first?
Restoration prioritisation combining degradation, biodiversity value, access and community dependence.
How are crops responding to drought?
Seasonal NDVI and moisture anomalies against long‑term baselines, mapped to village level.
Where can this species survive?
Species distribution models with MaxEnt and climate layers, under current and future scenarios.
How much sacred grove cover is left?
Mapping and atlas production for community‑conserved areas such as Orans, with field verification.
ANGIRA: Earth observation analytics on your desktop.
A licensed application that brings satellite indices, machine‑learning land cover and spatial modelling into one workflow.
- Sentinel‑1, Sentinel‑2 and Landsat spectral indices
- Google Earth Engine connection, or your own uploaded imagery
- Machine‑learning land use / land cover classification
- Layer alignment and spatial multi‑criteria analysis: AHP, fuzzy overlay, MaxEnt
- Species distribution, land degradation, ecological sensitivity and restoration models
- Map and report export with a full PDF user manual
# ANGIRA · scene summary (sample) sensor Sentinel-2 L2A aoi Dausa district, Rajasthan window 2025-10-01 → 2026-03-31 cloud mask applied (SCL 3,8,9,10) # index statistics NDVI mean 0.41 p90 0.68 NDWI mean -0.22 BSI mean 0.07 # LULC · random forest · 6 classes overall accuracy 0.91 kappa 0.88
| Feature | Academic | Professional | Institutional |
|---|---|---|---|
| Spectral indices (S1, S2, Landsat) | Included | Included | Included |
| ML land cover classification | Included | Included | Included |
| Spatial MCA / SDM add‑on | Optional | Included | Included |
| Licence | 1 computer | 1 computer | Multiple seats |
| Onboarding training | Manual only | 1 session | Custom programme |
| Support | Priority email | Dedicated contact |
ANGIRA Academy
Practical courses in GIS, remote sensing and environmental science, with certification on completion. Online, in person, or built for your team.
GIS Essentials with QGIS
Coordinate systems, vector and raster data, digitising and map layout.
Remote Sensing Fundamentals
Sensors, spectral signatures, image correction and visual interpretation.
Google Earth Engine for Environment
Cloud processing of Sentinel and Landsat time series with JavaScript and Python.
Water Resources & Watershed GIS
Watershed delineation, groundwater potential and water body mapping.
Land Degradation & LDN Assessment
SDG 15.3.1 indicators, Trends.Earth workflows and reporting.
Machine Learning for Land Cover
Training data design, Random Forest and deep learning, accuracy assessment.
Spatial MCA & Species Distribution
AHP, fuzzy overlay and MaxEnt for restoration and habitat models.
Custom Team Programmes
Training for government departments and companies, built on your own data and use cases.
Citizen Geospatial Science
Mobile mapping and Google Earth for students, volunteers and field workers.
Durations are indicative. Write to us for the current schedule and fees.
Real project data
Exercises come from real Indian landscapes, not toy datasets.
Recognised certificates
Assessed completion with a verifiable certificate ID.
Mentorship
Follow‑up guidance for projects, theses and job applications.
Enrol, or plan training for your team.
Enquire about trainingResearch, publications and resources.
Peer‑reviewed science and open learning material on remote sensing for environment and development.
Desertification assessment of the Chambal River Basin
Daiman, A., Pareeth, S. & Bhattacharya, B. Environmental Systems Research 14:33 (2025).
A remote sensing based assessment of desertification and land degradation across the Chambal basin, recognised with the journal's 2025 Editor's Choice Paper award.
Desertification & land degradation
Indicators and drivers of degradation in semi‑arid India.
Hydroinformatics
Remote sensing for water balance, basins and aquifers.
AI for land cover
Machine learning classification and change detection at scale.
Community‑conserved landscapes
Mapping sacred groves and commons with local knowledge.
Book: Citizen Geospatial Science
A practical guide to mapping for students and communities.
ForthcomingCode & scripts
Earth Engine and Python snippets for common indices and workflows.
Coming soonTechnical notes
Short method notes on accuracy, sampling and MCA weighting.
Coming soonA community of mappers, researchers and educators.
Workshops, webinars and mentorship for anyone using geospatial science for the environment.
Workshops & conferences
Hands‑on sessions with partner universities and institutions.
Monthly webinars
Short talks on new satellites, tools and case studies.
Mentorship programme
One‑to‑one guidance for students and early‑career GIS professionals.
Partner with ANGIRA.
We work with universities, research institutes, NGOs and government agencies on joint research, training and outreach. Partners co‑host events, co‑develop courses and share data for public good.
Work on landscapes that matter.
We are a small, growing team. If satellite data and field realities both excite you, write to us.
GIS & Remote Sensing Analyst
Full‑time · Rajasthan / RemoteLULC mapping, index analysis and map production. QGIS and Earth Engine required.
Research Associate, Water & Land
Full‑timeSupport hydrology and land degradation studies, data analysis and reporting.
Trainer, Geospatial Academy
Part‑time / ContractDeliver online and on‑site courses; help build course material.
Internships
3–6 monthsFor postgraduate students in geography, environmental science, geoinformatics and allied fields.
Send your CV and a short note to angiraenviroscan.org@gmail.com with the role in the subject line.
Tell us about your landscape.
Research partnerships, custom training or a software licence. We usually reply within two working days.
angiraenviroscan.org@gmail.comHours
Monday to Saturday, 10:00–18:00 IST
For proposals
Share your area of interest, timeline and the decision the work should support.
Do you work outside Rajasthan?
Yes. We take projects across India and internationally; most analysis is done remotely, with field visits as the work requires.
What data do we need to provide?
Usually only the area boundary and your objective. We source satellite and public datasets; your field or survey data improves validation.
Can the ANGIRA software run offline?
Uploaded imagery can be processed locally. Earth Engine features need an internet connection and your own Earth Engine account.
Are Academy certificates recognised?
Each certificate carries a unique ID and states the hours, syllabus and assessment completed.
Privacy policy
This website does not use tracking cookies or analytics. We collect personal information only when you contact us by email or through the enquiry form.
We use your name, organisation and email address only to answer your enquiry and to deliver services you request. We do not sell or share your details with third parties.
You can ask us to view, correct or delete your information at any time by writing to angiraenviroscan.org@gmail.com.
Last updated: October 2026
Terms of use
All content, maps, text and the ANGIRA name and logo on this website belong to ANGIRA EnviroScan Pvt Ltd unless stated otherwise. You may share links to this site; reproduction of content needs our written permission.
ANGIRA software is licensed per computer under a separate licence agreement. Copying, redistribution or reverse engineering is not permitted.
Information on this site is provided for general guidance. Project results are governed by the terms of each contract.
Last updated: October 2026