Aerial view of tropical peatland forest mosaic

Geospatial Intelligence · Digital Transformation · Riau, Indonesia

Turning remote sensing into spatial intelligence that powers multi-disciplinary business decisions.

I'm Amit — a Geospatial Intelligence and Remote Sensing leader specializing in digital transformation for forestry and natural-resource management through UAV, LiDAR, satellite analytics and data science. 13+ years translating complex spatial data into measurable business outcomes — inventory accuracy, operational efficiency, monitoring scalability and strategic decision-making at enterprise scale.

13+

Years in geospatial & digital transformation

10+

Years leading remote sensing & analytics

2

Continents of cross-regional rollout (ID · BR)

M.Sc.

Geoinformatics — ITC, University of Twente

Portrait of Amit Kumar Haldar

Amit Kumar Haldar

Riau · Indonesia

Available

About

From forest canopy to city street, my work translates spatial data into operational decisions.

I currently lead the Remote Sensing, Digital Innovation & Advanced Analytics function at APRIL Group, managing a multidisciplinary team of Geospatial Engineers, LiDAR Analysts, UAV Pilots and Data Scientists to operationalize enterprise-scale geospatial solutions. My work bridges technology, operations and business strategy — turning innovation into scalable execution.

Before forestry, I spent three years as an urban planner across India — parking master plans, TOD guidelines, station area planning, regional plans — which still shapes how I think about accessibility, equity and sustainable systems. I'm now exploring PhD opportunities in remote sensing, LiDAR analytics, biomass estimation, forest carbon and AI-driven environmental monitoring, and I'm open to consulting collaborations in geospatial innovation, precision forestry and digital transformation.

Precision forestry with UAV, LiDAR & satellite analytics
Geospatial AI, machine learning & spatial modelling
Forest inventory modernization & decision intelligence
Digital transformation, KPI-driven execution & ROI
Cross-functional leadership & capability building
Operational excellence — LEAN, Kaizen, continuous improvement
Based inRiau, Indonesia
LanguagesEN · HI · BN · ID
M.Sc.Geoinformatics, ITC Twente
B.PlanMANIT Bhopal
Satellite Remote SensingUAV / DronesLiDAR & 3DComputer VisionMachine LearningGoogle Earth EnginePythonGIS
UAV-LiDAR Satellite Analytics GeoAI Precision Forestry Carbon & Biodiversity Computer Vision Hydrological Modelling Digital Transformation Spatial Intelligence Operational Excellence UAV-LiDAR Satellite Analytics GeoAI Precision Forestry Carbon & Biodiversity Computer Vision Hydrological Modelling Digital Transformation Spatial Intelligence Operational Excellence

The technology stack

Satellites in orbit. Drones in the sky. Decisions on the ground.

A working toolkit that spans space-borne sensors, airborne LiDAR, autonomous UAVs and field-grade AI — woven into operational decisions across millions of hectares.

Satellite · NIR composite
Satellite · NIR compositeEarth Observation
UAV survey · golden hour
UAV survey · golden hourDrone
LiDAR point cloud · canopy heights
LiDAR point cloud · canopy heightsLiDAR
Computer vision · disease detection
Computer vision · disease detectionAI / CV
Plantation orthomosaic

Plantation orthomosaic

GIS dashboarding

GIS dashboarding

Canopy structure

Canopy structure

AI annotations

AI annotations

What I do

Four practice areas, one through-line: data into decisions.

01

Digital Transformation & Innovation Leadership

Owning the full innovation lifecycle — ideation, POCs, pilots, and enterprise rollout — with governance, KPIs, and adoption frameworks that deliver measurable business impact.

02

AI, Computer Vision & Advanced Analytics

Deploying machine-learning and computer-vision solutions for disease detection, wood-loss estimation, weed monitoring, flood risk, and operational decision support.

03

UAV, LiDAR & Satellite Remote Sensing

Landscape-scale aerial LiDAR inventory, UAV programs across Acacia and Eucalyptus plantations, and multi-temporal satellite analytics for change detection and sustainability.

04

Urban Planning & Spatial Analytics

Earlier foundations in transit-oriented development, station area planning, accessibility, and regional planning — informing a research interest in GeoAI for urban environmental quality.

LiDAR point-cloud visualization of forest

Signature programs

Established and scaled APRIL's Remote Sensing & Geospatial Analytics department — from strategy and governance to enterprise rollout.

  • · UAV-LiDAR inventory across Acacia and Eucalyptus plantations
  • · AI & computer vision for disease, weed and wood-loss monitoring
  • · Landscape carbon, biodiversity and flood-risk frameworks
  • · Cross-regional technology transfer across Indonesia & Brazil