Carbon stock estimation
Combine tree count and height with species-aware allometric methods to estimate above-ground biomass and carbon stock.
Forest Agent
FOREST & LAND
Measure every tree.
Detect every change.
Cropin combines high-resolution imagery, Earth observation and domain models to measure plantations, estimate carbon stock and turn forest loss into verifiable evidence.
Models: availableAgent workflow: upcoming
01 / MODELS AVAILABLE
Forest and plantation intelligence at asset level
Five connected capabilities turn imagery into measurements and operational evidence.
Tree crown counting
Detect individual crowns from high-resolution satellite, aerial or drone imagery.
Tree height estimation
Estimate height using stereo image pairs and connect it to inventory and biomass assessment.
Plantation age detection
Classify plantation blocks by age to support replacement planning and productivity assessment.
Deforestation detection
Monitor change through time, rank risk and preserve the evidence used for human review.
02 / CARBON INTELLIGENCE
Carbon estimates grounded in observable tree structure
The method begins with what can be measured: individual trees, crown structure and height. Those measurements feed the selected allometric model and produce plot-level biomass and carbon estimates.
01Countindividual trees and crowns
02Measuretree height from stereo pairs
03Modelapply the relevant allometric equation
04Estimateabove-ground biomass and carbon stock
03 / IN PRACTICE
Plantation biomass monitoring in Gujarat
High-resolution imagery connects named plantation boundaries with monthly above-ground biomass estimates for Mango, Orchard and Subabul.
04 / TREE INTELLIGENCE
From canopy cover to individual tree inventory
Crown detection converts high-resolution imagery into a countable asset layer. Operators can use the output for inventory, plantation monitoring and field verification.
INPUT
High-resolution observation
Satellite, aerial or drone imagery selected for the asset and decision.
OUTPUT
Tree-level evidence
Crown locations, counts and spatial exceptions linked to the plantation boundary.
USE
Inventory and verification
Prioritize field checks and connect measurements to biomass or carbon workflows.
05 / PLANTATION AGE
Age intelligence for plantation planning
A Riverside County study classified vineyard blocks into age groups and summarized the planted area represented by each group.
73.6%0–5 YEARS
73.6%Young vines · 0–5 years
26.4%Mid-age vines · 6–10 years
0%Older vines · 11+ years
No plots aged 11 years or more appeared in the supplied study result.
06 / DEFORESTATION EVIDENCE
Detection becomes a governed review workflow
The same experience connects portfolio screening, plot history, satellite evidence and human confirmation. Every reviewed event keeps its location, observation window and evidence record.
EVIDENCE WINDOWBefore / after observation
HUMAN REVIEW
Confirm the event
Review model confidence and satellite evidence before changing status or creating a case.
LOCATIONBOUND TO PLOT
CONFIDENCEVISIBLE
RECORDAUDIT READY
Confirm reviewed evidence01Screen portfolio
02Detect change
03Inspect evidence
04Confirm event
05Create record
07 / DECISIONS ENABLED
Evidence for the operators responsible for land
Cropin provides observation, measurement and review workflows. Certification and final program assurance remain with the responsible organization and its appointed auditors.
Establish and monitor the physical baseline
Connect tree inventory, height and biomass estimates to spatial evidence.
Prioritize inventory and renewal decisions
Use crown counts and age classification to target field verification and planning.
Review land change with traceable evidence
Preserve the location, time window, source imagery and human decision behind each event.
PHYSICAL WORLD ROADMAPExplore OrbitAI ↗
Models available now. Agent workflows next.
Forest & Land models already produce measurable outputs. Cropin is extending OrbitAI from Food-Ag into guided forest investigation and governed action workflows.
Start with the asset and decision