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Geospatial Intelligence · Central Asia

Built on a million
field observations.
Validated across
Central Asia.

Satellite intelligence grounded in real field data. For land, water, and the decisions that depend on them.

Start a Project Data Stories
1M+
Labeled Field Observations
3
Countries, Active Coverage
8M
Irrigated Hectares Monitored
Water use intensity satellite map Qashqadaryo Uzbekistan GEOBOX irrigation analytics

Water Use Intensity

788,000 ha · Qashqadaryo

The Problem

Central Asia's water is allocated on paper.
It needs to be measured on the ground.

Across Central Asia, irrigation decisions are still driven by allocation records — how much water was assigned, not how much was consumed. Fields are over-watered in some districts, starved in others, and no one has real-time evidence of either. We built the tools to change that.

8M
Irrigated hectares across Central Asia. Most of it managed on allocation data, not consumption data.
50%
Of applied water lost before reaching the farm gate in underperforming districts.
40%
Year-to-year yield variance - predictable if you have field-validated data.
10+
Years of ground campaigns - the baseline that generic AI platforms cannot replicate.

How We Work

From raw satellite signal
to decision intelligence.

We build models trained on ground truth - evidence collected in the field, not assumed from open datasets.

Step 01
Satellite + Field Evidence
Multi-sensor imagery fused with 1M+ ground-truth observations from field campaigns across Central Asia. Sensor-agnostic: Landsat, Sentinel, Planet, UAV.
Step 02
AI-Assisted Analytics
Purpose-built ML classifiers trained on our proprietary dataset - not fine-tuned general models. Covers irrigation efficiency, crop type, pest risk, and urban heat. Accuracy earned at field level.
Step 03
Client-Ready Decision Tools
Most clients don't have in-house geospatial teams - and they shouldn't need one. We translate complex satellite analysis into intuitive, AI-assisted tools built for the people who actually act on the data: water managers, agronomists, city planners.

On our models: Classification and risk models are trained against 1M+ field-labeled observations collected across Central Asia. This is the foundation that generic AI cannot replicate - the result of years of ground campaigns, not months of prompt engineering.

Selected Work

Four capabilities.
One validated region.

Full-stack geospatial intelligence - built and proven in Central Asia. Applicable wherever water scarcity and irrigated agriculture intersect.

Water consumption analysis Zhambyl Oblast Kazakhstan 43354 fields GEOBOX

Water · Qashqadaryo / Zhambyl

Irrigation Efficiency Audit

Field-level water productivity indices from ETa vs. applied water. 179,000+ fields mapped. 44,100 below 50% efficiency threshold. District-level benchmarks delivered to regional water authorities.

ETa / AWgrs 788k ha Landsat 8/9 Zhambyl
Locust outbreak monitoring Southern Kazakhstan 2020 GEOBOX

Pest Risk · Southern Kazakhstan, KZ

Locust Outbreak Forecasting

Two-component risk model: habitat suitability x climate stress anomaly. 5,440 field records, 2019-2023, 3 species. Finding: 2023 drought-driven, 2020 heat-driven - independent outbreak pathways confirmed.

Habitat Suitability 5,440 records 2019-2023 ERA5
Kazakhstan agricultural fields crop classification 92293 parcels GEOBOX

Agriculture · South Kazakhstan

Crop Classification & Field Mapping

Multi-temporal NDVI + SAR fusion for crop type identification at field polygon level. 92,293 parcels across South Kazakhstan. 10 crop classes. Irrigated vs. rainfed segmentation.

NDVI + SAR 92,293 parcels 10 classes Sentinel-1/2
Оазис-метр Almaty urban heat thermal comfort GEOBOX

Urban Heat · Almaty, KZ

Оазис-метр Almaty

Urban thermal comfort platform: 5-zone climate classification (Oasis to Inferno), GIGA index per building, intervention calculator with city-scale optimizer. Built for Almaty's urban planning authority.

LST · Emissivity Landsat 8/9 ERA5 GIGA Index

Work With Us

Let's talk about
your data challenge.

Whether you're managing irrigation infrastructure, monitoring crop health, forecasting pest risk, or building urban climate resilience - we start with your actual decision, not a platform demo.

Request a Briefing

Where We Work

New York
USA
Astana
Kazakhstan
linkedin.com/company/geoboxinc