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FIELD NOTES & TECHNICAL GUIDES

Geospatial insight built for real decisions.

Detailed, experience-based guidance for organisations planning GIS, GeoAI, WebGIS, remote-sensing, LiDAR, and flood-modelling work across international teams.

Written by Budi Prasetyo Nugroho

These articles explain the technical choices, quality controls, risks, and handover considerations that make geospatial work useful beyond a presentation or prototype.

01

August 23, 2026 · 5 min read

How to Hire a GIS Consultant for an International Project

A practical framework for evaluating GIS specialists, defining deliverables, reducing spatial-data risk, and managing remote geospatial work.

GIS ConsultingProject DeliveryWorldwide Clients
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02

August 22, 2026 · 4 min read

Enterprise WebGIS Architecture: From Interactive Map to Operational System

Learn how PostGIS, GeoServer, APIs, workflows, permissions, and map interfaces work together in a maintainable enterprise WebGIS.

Enterprise WebGISPostGISGeoServerArchitecture
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03

August 21, 2026 · 4 min read

GeoAI Location Intelligence Without Spatial Leakage

Why random validation can mislead spatial machine-learning projects—and how spatial folds, untouched holdouts, AP, and explainability improve GeoAI decisions.

GeoAISpatial ValidationLocation IntelligenceExplainable AI
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04

August 20, 2026 · 4 min read

From LiDAR Point Cloud to Engineering-Ready Deliverables

A practical LiDAR workflow covering control, classification, terrain models, contours, CAD/GIS outputs, quality checks, and handover.

LiDARPoint CloudSurvey3D Mapping
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05

August 19, 2026 · 3 min read

A Reviewable HEC-HMS and HEC-RAS Flood-Modelling Workflow

How hydrology, terrain, geometry, scenarios, stability checks, inundation maps, and limitations should connect in a defensible flood study.

HEC-RASHEC-HMSFlood ModellingHydrology
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06

August 18, 2026 · 3 min read

NDVI and NDMI for Environmental Monitoring: What the Maps Really Mean

A practical guide to using NDVI and NDMI for seasonal comparison, vegetation and moisture screening, quality control, and field prioritisation.

Remote SensingNDVINDMIEnvironmental Monitoring
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