We transform raw geospatial datasets into actionable layers of insight. Our workflows include data
cleaning, projection management, topology correction, and spatial statistics (buffering, overlays,
network analysis, hotspot detection, and interpolation). We integrate field GPS, drone orthomosaics,
satellite rasters, and government vector data to build decision-ready geodatabases. Deliverables can
include dashboards, interactive WebGIS apps, and printable cartographic outputs tailored to policy,
planning, or compliance use-cases.

Using multi-temporal satellite imagery (e.g., Sentinel-2, Landsat), we classify LULC at multiple
scales with supervised and object-based methods. We engineer spectral indices (NDVI, NDBI, NDWI,
EVI) and texture metrics to improve class separability, perform accuracy assessment with confusion
matrices, and produce change matrices across years. The output supports master planning, zoning,
agriculture monitoring, and habitat management with clearly defined class schemas and metadata.

We quantify deforestation, degradation, and regeneration using time-series stacks and biophysical
indicators. Our pipeline handles cloud masking, BRDF normalization, and thresholding for disturbance
detection. Results include annual loss/gain maps, canopy density trends, and alerts for encroachment
near protected areas or linear infrastructure. Reports align with national forest assessment
standards and can integrate with carbon accounting frameworks.

We model species distribution and corridor connectivity by combining occurrence data with environmental
predictors (topography, land cover, water, human pressure). Techniques include MaxEnt/Suitability
modelling, cost-distance routes, and least-cost corridor analyses validated against field sightings
and camera-trap data. Outputs highlight core habitats, edge pressures, and mitigation priorities for
road/rail projects, eco-restoration, and protected-area management plans.

Using DEM-based hydrologic modelling, we delineate watersheds, extract stream networks, compute flow
direction/accumulation, and identify recharge zones and erosion hotspots. We overlay soil, geology,
rainfall, and LULC to recommend site-specific interventions (check dams, contour trenches, vegetative
buffers) and support flood risk mapping, irrigation planning, and spring-shed development.

From UAV flight planning to centimeter-grade orthomosaics, we deliver DSM/DTM surfaces, contours,
volumetrics, and high-resolution habitat/aquatic feature mapping. For satellites, we handle image
procurement, preprocessing (atmospheric correction, pansharpening), and advanced analytics like
burn-scar mapping and crop stress detection, ensuring traceable metadata and reproducible scripts.

We build secure, scalable WebGIS portals for agencies, CSR programs, and research teams. Features
include user roles, layer toggles, filtering, spatial queries, mobile-friendly basemaps, and
exports. We can host on your stack or ours, with APIs for live sensor feeds (rain gauges, camera
traps) and forms for crowd-sourced monitoring. Training + documentation are included.

End-to-end EIA support: scoping, baseline monitoring (air, water, noise, soil, biodiversity),
spatial sensitivity mapping, impact prediction, and mitigation planning. We prepare GIS-rich
reports, stakeholder consultation materials, and EMPs that meet statutory norms—streamlining
appraisals and clearances with defensible, map-backed evidence.

Rapid and detailed biodiversity inventories using line transects, quadrats, and camera traps,
paired with GIS mapping of habitats and threats. We produce photo-catalogues, species checklists,
IUCN status notes, and spatially explicit pressure maps that guide conservation actions and CSR
planning in and around project footprints.

We craft WMPs for linear infrastructure and industrial projects intersecting sensitive habitats.
Plans cover animal passage structures, conflict mitigation, night-movement protocols, restoration
of micro-habitats, and population monitoring designs. Each measure is geographically referenced
and costed, ensuring practical implementation and compliance tracking.

Spatially explicit carbon baselines and scenario modelling using allometric equations, biomass
factors, and land-cover transitions. We quantify sequestration potential for plantations,
agroforestry, and assisted natural regeneration, aligning outputs with MRV requirements for carbon
finance, ESG reporting, and CSR impact claims.

Site selection and design for ecological restoration—riparian buffers, native plantations,
grassland revival, wetland rejuvenation—prioritized through GIS suitability analysis. We prepare
BOQs, species lists, phasing plans, and monitoring dashboards to demonstrate survival, growth, and
ecosystem service gains over time.

Tailored capacity-building for forest teams, students, and communities: hands-on GIS/RS workshops,
field mapping with mobile apps, and citizen-science protocols. Training modules include datasets,
exercises, and quick-reference guides so your team can maintain and update assets independently.